diff --git a/latest_training_yolo_tiny.ipynb b/latest_training_yolo_tiny.ipynb new file mode 100644 index 0000000..7c08e39 --- /dev/null +++ b/latest_training_yolo_tiny.ipynb @@ -0,0 +1,5946 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "latest training yolo tiny.ipynb", + "provenance": [], + "collapsed_sections": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "DSDlTj1DXHcX", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 120 + }, + "outputId": "a5609a0c-0c18-4117-eb64-9c42860b61da" + }, + "source": [ + "import os\n", + "# Mount Google Drive to be able to access the data saved there\n", + "from google.colab import drive\n", + "drive.mount('/content/drive', force_remount=True)" + ], + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n", + "\n", + "Enter your authorization code:\n", + "··········\n", + "Mounted at /content/drive\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "UM4wFRFdbfy_", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 134 + }, + "outputId": "0e59b742-4c79-4fe6-e5e2-b7c09f26c622" + }, + "source": [ + "!git clone https://github.com/AlexeyAB/darknet.git" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Cloning into 'darknet'...\n", + "remote: Enumerating objects: 37, done.\u001b[K\n", + "remote: Counting objects: 100% (37/37), done.\u001b[K\n", + "remote: Compressing objects: 100% (25/25), done.\u001b[K\n", + "remote: Total 13775 (delta 16), reused 23 (delta 10), pack-reused 13738\u001b[K\n", + "Receiving objects: 100% (13775/13775), 12.36 MiB | 7.00 MiB/s, done.\n", + "Resolving deltas: 100% (9388/9388), done.\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "3sjDxcbQceOD", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "019ff8d2-46fd-49a3-b9f3-15194f1f7632" + }, + "source": [ + "%cd darknet\n", + "!sed -i 's/OPENCV=0/OPENCV=1/' Makefile\n", + "!sed -i 's/GPU=0/GPU=1/' Makefile\n", + "!sed -i 's/CUDNN=0/CUDNN=1/' Makefile" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "text": [ + "/content/darknet\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "fdq-GddZbyZB", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "0fddbbb5-5066-4ff2-a572-3701974d171f" + }, + "source": [ + "!make" + ], + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "text": [ + "mkdir -p ./obj/\n", + "mkdir -p backup\n", + "chmod +x *.sh\n", + "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/image_opencv.cpp -o obj/image_opencv.o\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid draw_detections_cv_v3(void**, detection*, int, float, char**, image**, int, int)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:910:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Krgb\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Krgb\u001b[m\u001b[K[3];\n", + " \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid cv_draw_object(image, float*, int, int, int*, float*, int*, int, char**)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:1391:14:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbuff\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " char \u001b[01;35m\u001b[Kbuff\u001b[m\u001b[K[100];\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:1367:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kit_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kit_tb_res\u001b[m\u001b[K = cv::createTrackbar(it_trackbar_name, window_name, &it_trackbar_value, 1000);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:1371:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Klr_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Klr_tb_res\u001b[m\u001b[K = cv::createTrackbar(lr_trackbar_name, window_name, &lr_trackbar_value, 20);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:1375:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kcl_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kcl_tb_res\u001b[m\u001b[K = cv::createTrackbar(cl_trackbar_name, window_name, &cl_trackbar_value, classes-1);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/image_opencv.cpp:1378:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbo_tb_res\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kbo_tb_res\u001b[m\u001b[K = cv::createTrackbar(bo_trackbar_name, window_name, boxonly, 1);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/http_stream.cpp -o obj/http_stream.o\n", + "In file included from \u001b[01m\u001b[K./src/http_stream.cpp:580:0\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K./src/httplib.h:129:0:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"INVALID_SOCKET\" redefined\n", + " #define INVALID_SOCKET (-1)\n", + " \n", + "\u001b[01m\u001b[K./src/http_stream.cpp:73:0:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kthis is the location of the previous definition\n", + " #define INVALID_SOCKET -1\n", + " \n", + "\u001b[01m\u001b[K./src/http_stream.cpp:\u001b[m\u001b[K In member function ‘\u001b[01m\u001b[Kbool JSON_sender::write(const char*)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/http_stream.cpp:249:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kn\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kn\u001b[m\u001b[K = _write(client, outputbuf, outlen);\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/http_stream.cpp:\u001b[m\u001b[K In member function ‘\u001b[01m\u001b[Kbool MJPG_sender::write(const cv::Mat&)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/http_stream.cpp:507:113:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%zu\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Ksize_t\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " sprintf(head, \"--mjpegstream\\r\\nContent-Type: image/jpeg\\r\\nContent-Length: %zu\\r\\n\\r\\n\", outlen\u001b[01;35m\u001b[K)\u001b[m\u001b[K;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/gemm.c -o obj/gemm.o\n", + "\u001b[01m\u001b[K./src/gemm.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kconvolution_2d\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/gemm.c:2038:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_w\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " const int \u001b[01;35m\u001b[Kout_w\u001b[m\u001b[K = (w + 2 * pad - ksize) / stride + 1; // output_width=input_width for stride=1 and pad=1\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/gemm.c:2037:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_h\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " const int \u001b[01;35m\u001b[Kout_h\u001b[m\u001b[K = (h + 2 * pad - ksize) / stride + 1; // output_height=input_height for stride=1 and pad=1\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/utils.c -o obj/utils.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/dark_cuda.c -o obj/dark_cuda.o\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcudnn_check_error_extended\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:224:20:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between ‘\u001b[01m\u001b[KcudaError_t {aka enum cudaError}\u001b[m\u001b[K’ and ‘\u001b[01m\u001b[Kenum \u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wenum-compare\u001b[m\u001b[K]\n", + " if (status \u001b[01;35m\u001b[K!=\u001b[m\u001b[K CUDNN_STATUS_SUCCESS)\n", + " \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kpre_allocate_pinned_memory\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:276:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"pre_allocate: size = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K MB, num_of_blocks = %Iu, block_size = %Iu MB \\n\",\n", + " \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n", + " \u001b[32m\u001b[Ksize / (1024*1024)\u001b[m\u001b[K, num_of_blocks, pinned_block_size / (1024 * 1024));\n", + " \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K \n", + "\u001b[01m\u001b[K./src/dark_cuda.c:276:64:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"pre_allocate: size = %Iu MB, num_of_blocks = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K, block_size = %Iu MB \\n\",\n", + " \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:276:82:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%u\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kunsigned int\u001b[m\u001b[K’, but argument 4 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"pre_allocate: size = %Iu MB, num_of_blocks = %Iu, block_size = \u001b[01;35m\u001b[K%Iu\u001b[m\u001b[K MB \\n\",\n", + " \u001b[01;35m\u001b[K~~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%Ilu\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:286:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka const long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\" Allocated \u001b[01;35m\u001b[K%d\u001b[m\u001b[K pinned block \\n\", pinned_block_size);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kcuda_make_array_pinned_preallocated\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:307:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Ksize_t {aka long unsigned int}\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"\\n Pinned block_id = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K, filled = %f %% \\n\", pinned_block_id, filled);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:322:64:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"Try to allocate new pinned memory, size = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K MB \\n\", \u001b[32m\u001b[Ksize / (1024 * 1024)\u001b[m\u001b[K);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/dark_cuda.c:328:63:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%d\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’, but argument 2 has type ‘\u001b[01m\u001b[Klong unsigned int\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " printf(\"Try to allocate new pinned BLOCK, size = \u001b[01;35m\u001b[K%d\u001b[m\u001b[K MB \\n\", \u001b[32m\u001b[Ksize / (1024 * 1024)\u001b[m\u001b[K);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K \u001b[32m\u001b[K~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%ld\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/convolutional_layer.c -o obj/convolutional_layer.o\n", + "\u001b[01m\u001b[K./src/convolutional_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_convolutional_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/convolutional_layer.c:1204:32:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kt_intput_size\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " size_t \u001b[01;35m\u001b[Kt_intput_size\u001b[m\u001b[K = binary_transpose_align_input(k, n, state.workspace, &l.t_bit_input, ldb_align, l.bit_align);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/list.c -o obj/list.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/image.c -o obj/image.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/activations.c -o obj/activations.o\n", + "\u001b[01m\u001b[K./src/activations.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kactivate\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KRELU6\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(a){\n", + " \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KSWISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN_SOFTMAX\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "\u001b[01m\u001b[K./src/activations.c:78:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KNORM_CHAN_SOFTMAX_MAXVAL\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "\u001b[01m\u001b[K./src/activations.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kgradient\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/activations.c:289:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KSWISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(a){\n", + " \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/activations.c:289:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMISH\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/im2col.c -o obj/im2col.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/col2im.c -o obj/col2im.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/blas.c -o obj/blas.o\n", + "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kbackward_shortcut_multilayer_cpu\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/blas.c:207:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kout_index\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kout_index\u001b[m\u001b[K = id;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kgrad_contrastive_loss_positive\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/blas.c:590:81:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%f\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kdouble\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " fprintf(stderr, \" Error: N == 0 || temperature == 0 || vec_len == 0. N=\u001b[01;35m\u001b[K%f\u001b[m\u001b[K, temperature=%f, vec_len=%f \\n\", N, temperature, vec_len);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%d\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/blas.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kgrad_contrastive_loss_negative\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/blas.c:627:81:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat ‘\u001b[01m\u001b[K%f\u001b[m\u001b[K’ expects argument of type ‘\u001b[01m\u001b[Kdouble\u001b[m\u001b[K’, but argument 3 has type ‘\u001b[01m\u001b[Kint\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wformat=\u001b[m\u001b[K]\n", + " fprintf(stderr, \" Error: N == 0 || temperature == 0 || vec_len == 0. N=\u001b[01;35m\u001b[K%f\u001b[m\u001b[K, temperature=%f, vec_len=%f \\n\", N, temperature, vec_len);\n", + " \u001b[01;35m\u001b[K~^\u001b[m\u001b[K\n", + " \u001b[32m\u001b[K%d\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/crop_layer.c -o obj/crop_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/dropout_layer.c -o obj/dropout_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/maxpool_layer.c -o obj/maxpool_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/softmax_layer.c -o obj/softmax_layer.o\n", + "\u001b[01m\u001b[K./src/softmax_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_contrastive_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/softmax_layer.c:185:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kmax_truth\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kmax_truth\u001b[m\u001b[K = 0;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/softmax_layer.c:230:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ksame\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Ksame\u001b[m\u001b[K = l.cos_sim[b*l.batch + b];\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/data.c -o obj/data.o\n", + "\u001b[01m\u001b[K./src/data.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kload_data_detection\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/data.c:1271:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kx\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int k, \u001b[01;35m\u001b[Kx\u001b[m\u001b[K, y;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/data.c:1072:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kr_scale\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " float r1 = 0, r2 = 0, r3 = 0, r4 = 0, \u001b[01;35m\u001b[Kr_scale\u001b[m\u001b[K = 0;\n", + " \u001b[01;35m\u001b[K^~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/matrix.c -o obj/matrix.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/network.c -o obj/network.o\n", + "\u001b[01m\u001b[K./src/network.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_network\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/network.c:615:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Knet->input_pinned_cpu, size * sizeof(float), cudaHostRegisterMapped))\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/network.c:1\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/connected_layer.c -o obj/connected_layer.o\n", + "\u001b[01m\u001b[K./src/connected_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kforward_connected_layer_gpu\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/connected_layer.c:346:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kone\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kone\u001b[m\u001b[K = 1; // alpha[0], beta[0]\n", + " \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:344:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kc\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float * \u001b[01;35m\u001b[Kc\u001b[m\u001b[K = l.output_gpu;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:343:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kb\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float * \u001b[01;35m\u001b[Kb\u001b[m\u001b[K = l.weights_gpu;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:342:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ka\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float * \u001b[01;35m\u001b[Ka\u001b[m\u001b[K = state.input;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:341:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kn\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kn\u001b[m\u001b[K = l.outputs;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:340:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kk\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kk\u001b[m\u001b[K = l.inputs;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/connected_layer.c:339:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Km\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Km\u001b[m\u001b[K = l.batch;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/cost_layer.c -o obj/cost_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/parser.c -o obj/parser.o\n", + "\u001b[01m\u001b[K./src/parser.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kparse_network_cfg_custom\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/parser.c:1612:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Knet.input_pinned_cpu, size * sizeof(float), cudaHostRegisterMapped)) net.input_pinned_cpu_flag = 1;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activation_layer.h:4\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/parser.c:6\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/parser.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kget_classes_multipliers\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/parser.c:405:29:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kargument 1 range [18446744071562067968, 18446744073709551615] exceeds maximum object size 9223372036854775807 [\u001b[01;35m\u001b[K-Walloc-size-larger-than=\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kclasses_multipliers = (float *)calloc(classes_counters, sizeof(float))\u001b[m\u001b[K;\n", + " \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K./src/parser.c:3:0\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/include/stdlib.h:541:14:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin a call to allocation function ‘\u001b[01m\u001b[Kcalloc\u001b[m\u001b[K’ declared here\n", + " extern void *\u001b[01;36m\u001b[Kcalloc\u001b[m\u001b[K (size_t __nmemb, size_t __size)\n", + " \u001b[01;36m\u001b[K^~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/option_list.c -o obj/option_list.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/darknet.c -o obj/darknet.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/detection_layer.c -o obj/detection_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/captcha.c -o obj/captcha.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/route_layer.c -o obj/route_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/writing.c -o obj/writing.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/box.c -o obj/box.o\n", + "\u001b[01m\u001b[K./src/box.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kbox_iou_kind\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/box.c:154:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kenumeration value ‘\u001b[01m\u001b[KMSE\u001b[m\u001b[K’ not handled in switch [\u001b[01;35m\u001b[K-Wswitch\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kswitch\u001b[m\u001b[K(iou_kind) {\n", + " \u001b[01;35m\u001b[K^~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/box.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdiounms_sort\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/box.c:898:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbeta_prob\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kbeta_prob\u001b[m\u001b[K = pow(dets[j].prob[k], 2) / sum_prob;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/box.c:897:27:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kalpha_prob\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kalpha_prob\u001b[m\u001b[K = pow(dets[i].prob[k], 2) / sum_prob;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/nightmare.c -o obj/nightmare.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/normalization_layer.c -o obj/normalization_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/avgpool_layer.c -o obj/avgpool_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/coco.c -o obj/coco.o\n", + "\u001b[01m\u001b[K./src/coco.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_coco_recall\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/coco.c:248:11:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kbase\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " char *\u001b[01;35m\u001b[Kbase\u001b[m\u001b[K = \"results/comp4_det_test_\";\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/dice.c -o obj/dice.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/yolo.c -o obj/yolo.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/detector.c -o obj/detector.o\n", + "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kprint_cocos\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/detector.c:458:29:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat not a string literal and no format arguments [\u001b[01;35m\u001b[K-Wformat-security\u001b[m\u001b[K]\n", + " fprintf(fp, \u001b[01;35m\u001b[Kbuff\u001b[m\u001b[K);\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Keliminate_bdd\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/detector.c:551:21:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kstatement with no effect [\u001b[01;35m\u001b[K-Wunused-value\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kfor\u001b[m\u001b[K (k; buf[k + n] != '\\0'; k++)\n", + " \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_detector\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/detector.c:664:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kmkd2\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kmkd2\u001b[m\u001b[K = make_directory(buff2, 0777);\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:662:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kmkd\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kmkd\u001b[m\u001b[K = make_directory(buff, 0777);\n", + " \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvalidate_detector_map\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/detector.c:1283:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kclass_recall\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kclass_recall\u001b[m\u001b[K = (float)tp_for_thresh_per_class[i] / ((float)tp_for_thresh_per_class[i] + (float)(truth_classes_count[i] - tp_for_thresh_per_class[i]));\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:1282:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kclass_precision\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kclass_precision\u001b[m\u001b[K = (float)tp_for_thresh_per_class[i] / ((float)tp_for_thresh_per_class[i] + (float)fp_for_thresh_per_class[i]);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/detector.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdraw_object\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/detector.c:1799:19:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kinv_loss\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kinv_loss\u001b[m\u001b[K = 1.0 / max_val_cmp(0.01, avg_loss);\n", + " \u001b[01;35m\u001b[K^~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/layer.c -o obj/layer.o\n", + "\u001b[01m\u001b[K./src/layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfree_layer_custom\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/layer.c:201:68:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Ksuggest parentheses around ‘\u001b[01m\u001b[K&&\u001b[m\u001b[K’ within ‘\u001b[01m\u001b[K||\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wparentheses\u001b[m\u001b[K]\n", + " if (l.delta_gpu && (l.optimized_memory < 1 || \u001b[01;35m\u001b[Kl.keep_delta_gpu && l.optimized_memory < 3\u001b[m\u001b[K)) cuda_free(l.delta_gpu), l.delta_gpu = NULL;\n", + " \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/compare.c -o obj/compare.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/classifier.c -o obj/classifier.o\n", + "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Ktrain_classifier\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/classifier.c:145:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kcount\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kcount\u001b[m\u001b[K = 0;\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kpredict_classifier\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/classifier.c:846:13:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktime\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " clock_t \u001b[01;35m\u001b[Ktime\u001b[m\u001b[K;\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/classifier.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdemo_classifier\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/classifier.c:1276:49:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktval_result\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " struct timeval tval_before, tval_after, \u001b[01;35m\u001b[Ktval_result\u001b[m\u001b[K;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/classifier.c:1276:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Ktval_after\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " struct timeval tval_before, \u001b[01;35m\u001b[Ktval_after\u001b[m\u001b[K, tval_result;\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/local_layer.c -o obj/local_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/swag.c -o obj/swag.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/shortcut_layer.c -o obj/shortcut_layer.o\n", + "\u001b[01m\u001b[K./src/shortcut_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_shortcut_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/shortcut_layer.c:55:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kscale\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float \u001b[01;35m\u001b[Kscale\u001b[m\u001b[K = sqrt(2. / l.nweights);\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/activation_layer.c -o obj/activation_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/rnn_layer.c -o obj/rnn_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/gru_layer.c -o obj/gru_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/rnn.c -o obj/rnn.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/rnn_vid.c -o obj/rnn_vid.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/crnn_layer.c -o obj/crnn_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/demo.c -o obj/demo.o\n", + "\u001b[01m\u001b[K./src/demo.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kdetect_in_thread\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/demo.c:100:16:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kprediction\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " float *\u001b[01;35m\u001b[Kprediction\u001b[m\u001b[K = network_predict(net, X);\n", + " \u001b[01;35m\u001b[K^~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/demo.c:98:15:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kl\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " layer \u001b[01;35m\u001b[Kl\u001b[m\u001b[K = net.layers[net.n - 1];\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/tag.c -o obj/tag.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/cifar.c -o obj/cifar.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/go.c -o obj/go.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/batchnorm_layer.c -o obj/batchnorm_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/art.c -o obj/art.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/region_layer.c -o obj/region_layer.o\n", + "\u001b[01m\u001b[K./src/region_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_region_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/region_layer.c:58:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kold_h\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kold_h\u001b[m\u001b[K = l->h;\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/region_layer.c:57:9:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kunused variable ‘\u001b[01m\u001b[Kold_w\u001b[m\u001b[K’ [\u001b[01;35m\u001b[K-Wunused-variable\u001b[m\u001b[K]\n", + " int \u001b[01;35m\u001b[Kold_w\u001b[m\u001b[K = l->w;\n", + " \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/reorg_layer.c -o obj/reorg_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/reorg_old_layer.c -o obj/reorg_old_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/super.c -o obj/super.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/voxel.c -o obj/voxel.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/tree.c -o obj/tree.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/yolo_layer.c -o obj/yolo_layer.o\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_yolo_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:62:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.output, batch*l.outputs*sizeof(float), cudaHostRegisterMapped)) l.output_pinned = 1;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:69:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.delta, batch*l.outputs*sizeof(float), cudaHostRegisterMapped)) l.delta_pinned = 1;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_yolo_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:96:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->output, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/yolo_layer.c:105:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->delta, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/activations.h:3\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/layer.h:4\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/yolo_layer.c:1\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/gaussian_yolo_layer.c -o obj/gaussian_yolo_layer.o\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kmake_gaussian_yolo_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:71:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.output, batch*l.outputs * sizeof(float), cudaHostRegisterMapped)) l.output_pinned = 1;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:78:38:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess == cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl.delta, batch*l.outputs * sizeof(float), cudaHostRegisterMapped)) l.delta_pinned = 1;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kresize_gaussian_yolo_layer\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:110:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->output, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/gaussian_yolo_layer.c:119:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kpassing argument 1 of ‘\u001b[01m\u001b[KcudaHostAlloc\u001b[m\u001b[K’ from incompatible pointer type [\u001b[01;35m\u001b[K-Wincompatible-pointer-types\u001b[m\u001b[K]\n", + " if (cudaSuccess != cudaHostAlloc(\u001b[01;35m\u001b[K&\u001b[m\u001b[Kl->delta, l->batch*l->outputs * sizeof(float), cudaHostRegisterMapped)) {\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "In file included from \u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime.h:96:0\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[Kinclude/darknet.h:41\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.h:5\u001b[m\u001b[K,\n", + " from \u001b[01m\u001b[K./src/gaussian_yolo_layer.c:7\u001b[m\u001b[K:\n", + "\u001b[01m\u001b[K/usr/local/cuda/include/cuda_runtime_api.h:4391:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kexpected ‘\u001b[01m\u001b[Kvoid **\u001b[m\u001b[K’ but argument is of type ‘\u001b[01m\u001b[Kfloat **\u001b[m\u001b[K’\n", + " extern __host__ cudaError_t CUDARTAPI \u001b[01;36m\u001b[KcudaHostAlloc\u001b[m\u001b[K(void **pHost, size_t size, unsigned int flags);\n", + " \u001b[01;36m\u001b[K^~~~~~~~~~~~~\u001b[m\u001b[K\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/upsample_layer.c -o obj/upsample_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/lstm_layer.c -o obj/lstm_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/conv_lstm_layer.c -o obj/conv_lstm_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/scale_channels_layer.c -o obj/scale_channels_layer.o\n", + "gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/sam_layer.c -o obj/sam_layer.o\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/convolutional_kernels.cu -o obj/convolutional_kernels.o\n", + "\u001b[01m\u001b[K./src/convolutional_kernels.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid backward_convolutional_layer_gpu(convolutional_layer, network_state)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/convolutional_kernels.cu:803:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[K if (*state.net.max_output16_size < \u001b[m\u001b[Kl.inputs) {\n", + " \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/convolutional_kernels.cu:839:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kcomparison between signed and unsigned integer expressions [\u001b[01;35m\u001b[K-Wsign-compare\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[K if (*state.net.max_output16_size < l.\u001b[m\u001b[Knweights) {\n", + " \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~\u001b[m\u001b[K\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/activation_kernels.cu -o obj/activation_kernels.o\n", + "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n", + "\n", + "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n", + "\n", + "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n", + "\n", + "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n", + "\n", + "./src/activation_kernels.cu(263): warning: variable \"MISH_THRESHOLD\" was declared but never referenced\n", + "\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/im2col_kernels.cu -o obj/im2col_kernels.o\n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:125:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*data_col_ptr = (h >= 0 && w >= 0 && h < height && w < width) ?\n", + " \n", + "\u001b[01m\u001b[K./src/im2col_kernels.cu:1178:6:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K\"/*\" within comment [\u001b[01;35m\u001b[K-Wcomment\u001b[m\u001b[K]\n", + " //*((uint64_t *)(A_s + (local_i*lda + k) / 8)) = *((uint64_t *)(A + (i_cur*lda + k) / 8)); // weights\n", + " \n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/col2im_kernels.cu -o obj/col2im_kernels.o\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/blas_kernels.cu -o obj/blas_kernels.o\n", + "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n", + "\n", + "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n", + "\n", + "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n", + "\n", + "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n", + "\n", + "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1086): warning: variable \"out_index\" was declared but never referenced\n", + "\n", + "./src/blas_kernels.cu(1130): warning: variable \"step\" was set but never used\n", + "\n", + "./src/blas_kernels.cu(1736): warning: variable \"stage_id\" was declared but never referenced\n", + "\n", + "\u001b[01m\u001b[K./src/blas_kernels.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kvoid backward_shortcut_multilayer_gpu(int, int, int, int*, float**, float*, float*, float*, float*, int, float*, float**, WEIGHTS_NORMALIZATION_T)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/blas_kernels.cu:1130:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kstep\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[Kint \u001b[m\u001b[Kstep = 0;\n", + " \u001b[01;35m\u001b[K^~~~\u001b[m\u001b[K\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/crop_layer_kernels.cu -o obj/crop_layer_kernels.o\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/dropout_layer_kernels.cu -o obj/dropout_layer_kernels.o\n", + "./src/dropout_layer_kernels.cu(140): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(245): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(262): warning: variable \"block_prob\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(140): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(245): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(262): warning: variable \"block_prob\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(140): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(245): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(262): warning: variable \"block_prob\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(140): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(245): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(262): warning: variable \"block_prob\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(140): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(245): warning: variable \"cur_scale\" was declared but never referenced\n", + "\n", + "./src/dropout_layer_kernels.cu(262): warning: variable \"block_prob\" was declared but never referenced\n", + "\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/maxpool_layer_kernels.cu -o obj/maxpool_layer_kernels.o\n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/network_kernels.cu -o obj/network_kernels.o\n", + "./src/network_kernels.cu(363): warning: variable \"l\" was declared but never referenced\n", + "\n", + "./src/network_kernels.cu(384): warning: variable \"im\" was set but never used\n", + "\n", + "./src/network_kernels.cu(363): warning: variable \"l\" was declared but never referenced\n", + "\n", + "./src/network_kernels.cu(384): warning: variable \"im\" was set but never used\n", + "\n", + "./src/network_kernels.cu(363): warning: variable \"l\" was declared but never referenced\n", + "\n", + "./src/network_kernels.cu(384): warning: variable \"im\" was set but never used\n", + "\n", + "./src/network_kernels.cu(363): warning: variable \"l\" was declared but never referenced\n", + "\n", + "./src/network_kernels.cu(384): warning: variable \"im\" was set but never used\n", + "\n", + "./src/network_kernels.cu(363): warning: variable \"l\" was declared but never referenced\n", + "\n", + "./src/network_kernels.cu(384): warning: variable \"im\" was set but never used\n", + "\n", + "\u001b[01m\u001b[K./src/network_kernels.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kfloat train_network_datum_gpu(network, float*, float*)\u001b[m\u001b[K’:\n", + "\u001b[01m\u001b[K./src/network_kernels.cu:363:7:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kl\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[K \u001b[m\u001b[K layer l = net.layers[net.n - 1];\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n", + "\u001b[01m\u001b[K./src/network_kernels.cu:384:7:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kvariable ‘\u001b[01m\u001b[Kim\u001b[m\u001b[K’ set but not used [\u001b[01;35m\u001b[K-Wunused-but-set-variable\u001b[m\u001b[K]\n", + " \u001b[01;35m\u001b[K \u001b[m\u001b[Kimage im;\n", + " \u001b[01;35m\u001b[K^\u001b[m\u001b[K \n", + "nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -gencode arch=compute_61,code=[sm_61,compute_61] -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options \"-Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include\" -c ./src/avgpool_layer_kernels.cu -o obj/avgpool_layer_kernels.o\n", + "g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV `pkg-config --cflags opencv4 2> /dev/null || pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include obj/image_opencv.o obj/http_stream.o obj/gemm.o obj/utils.o obj/dark_cuda.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/darknet.o obj/detection_layer.o obj/captcha.o obj/route_layer.o obj/writing.o obj/box.o obj/nightmare.o obj/normalization_layer.o obj/avgpool_layer.o obj/coco.o obj/dice.o obj/yolo.o obj/detector.o obj/layer.o obj/compare.o obj/classifier.o obj/local_layer.o obj/swag.o obj/shortcut_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/rnn.o obj/rnn_vid.o obj/crnn_layer.o obj/demo.o obj/tag.o obj/cifar.o obj/go.o obj/batchnorm_layer.o obj/art.o obj/region_layer.o obj/reorg_layer.o obj/reorg_old_layer.o obj/super.o obj/voxel.o obj/tree.o obj/yolo_layer.o obj/gaussian_yolo_layer.o obj/upsample_layer.o obj/lstm_layer.o obj/conv_lstm_layer.o obj/scale_channels_layer.o obj/sam_layer.o obj/convolutional_kernels.o obj/activation_kernels.o obj/im2col_kernels.o obj/col2im_kernels.o obj/blas_kernels.o obj/crop_layer_kernels.o obj/dropout_layer_kernels.o obj/maxpool_layer_kernels.o obj/network_kernels.o obj/avgpool_layer_kernels.o -o darknet -lm -pthread `pkg-config --libs opencv4 2> /dev/null || pkg-config --libs opencv` -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -L/usr/local/cudnn/lib64 -lcudnn -lstdc++\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "q1r3XubB57uw", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 201 + }, + "outputId": "192d64ab-4d50-46bb-9ae8-1d579d4ad8cc" + }, + "source": [ + "# !wget https://pjreddie.com/media/files/darknet53.conv.74\n", + "!wget https://pjreddie.com/media/files/yolov3-tiny.weights\n", + "# !wget https://pjreddie.com/media/files/yolov3-spp.weights" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "text": [ + "--2020-06-27 08:22:01-- https://pjreddie.com/media/files/yolov3-tiny.weights\n", + "Resolving pjreddie.com (pjreddie.com)... 128.208.4.108\n", + "Connecting to pjreddie.com (pjreddie.com)|128.208.4.108|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 35434956 (34M) [application/octet-stream]\n", + "Saving to: ‘yolov3-tiny.weights’\n", + "\n", + "yolov3-tiny.weights 100%[===================>] 33.79M 2.30MB/s in 15s \n", + "\n", + "2020-06-27 08:22:17 (2.23 MB/s) - ‘yolov3-tiny.weights’ saved [35434956/35434956]\n", + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "m8hMR4jBN-Zn", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def imShow(path):\n", + " import cv2\n", + " import matplotlib.pyplot as plt\n", + " %matplotlib inline\n", + "\n", + " image = cv2.imread(path)\n", + " height, width = image.shape[:2]\n", + " resized_image = cv2.resize(image,(3*width, 3*height), interpolation = cv2.INTER_CUBIC)\n", + "\n", + " fig = plt.gcf()\n", + " fig.set_size_inches(18, 10)\n", + " plt.axis(\"off\")\n", + " #plt.rcParams['figure.figsize'] = [10, 5]\n", + " plt.imshow(cv2.cvtColor(resized_image, cv2.COLOR_BGR2RGB))\n", + " plt.show()" + ], + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "qW_5KIKdTJOa", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 652 + }, + "outputId": "9d72217f-b680-4ce8-aca3-341f7dd45b48" + }, + "source": [ + "!./darknet partial cfg/yolov3-tiny-custom.cfg yolov3-tiny.weights yolov3-tiny.conv.13 13" + ], + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "text": [ + " CUDA-version: 10010 (10010), cuDNN: 7.6.5, GPU count: 1 \n", + " OpenCV version: 3.2.0\n", + " GPU isn't used \n", + "net.optimized_memory = 0 \n", + "mini_batch = 1, batch = 2, time_steps = 1, train = 0 \n", + " layer filters size/strd(dil) input output\n", + " 0 conv 16 3 x 3/ 1 416 x 416 x 3 -> 416 x 416 x 16 0.150 BF\n", + " 1 max 2x 2/ 2 416 x 416 x 16 -> 208 x 208 x 16 0.003 BF\n", + " 2 conv 32 3 x 3/ 1 208 x 208 x 16 -> 208 x 208 x 32 0.399 BF\n", + " 3 max 2x 2/ 2 208 x 208 x 32 -> 104 x 104 x 32 0.001 BF\n", + " 4 conv 64 3 x 3/ 1 104 x 104 x 32 -> 104 x 104 x 64 0.399 BF\n", + " 5 max 2x 2/ 2 104 x 104 x 64 -> 52 x 52 x 64 0.001 BF\n", + " 6 conv 128 3 x 3/ 1 52 x 52 x 64 -> 52 x 52 x 128 0.399 BF\n", + " 7 max 2x 2/ 2 52 x 52 x 128 -> 26 x 26 x 128 0.000 BF\n", + " 8 conv 256 3 x 3/ 1 26 x 26 x 128 -> 26 x 26 x 256 0.399 BF\n", + " 9 max 2x 2/ 2 26 x 26 x 256 -> 13 x 13 x 256 0.000 BF\n", + " 10 conv 512 3 x 3/ 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BF\n", + " 11 max 2x 2/ 1 13 x 13 x 512 -> 13 x 13 x 512 0.000 BF\n", + " 12 conv 1024 3 x 3/ 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BF\n", + " 13 conv 256 1 x 1/ 1 13 x 13 x1024 -> 13 x 13 x 256 0.089 BF\n", + " 14 conv 512 3 x 3/ 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BF\n", + " 15 conv 18 1 x 1/ 1 13 x 13 x 512 -> 13 x 13 x 18 0.003 BF\n", + " 16 yolo\n", + "[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00\n", + " 17 route 13 \t\t -> 13 x 13 x 256 \n", + " 18 conv 128 1 x 1/ 1 13 x 13 x 256 -> 13 x 13 x 128 0.011 BF\n", + " 19 upsample 2x 13 x 13 x 128 -> 26 x 26 x 128\n", + " 20 route 19 8 \t -> 26 x 26 x 384 \n", + " 21 conv 256 3 x 3/ 1 26 x 26 x 384 -> 26 x 26 x 256 1.196 BF\n", + " 22 conv 18 1 x 1/ 1 26 x 26 x 256 -> 26 x 26 x 18 0.006 BF\n", + " 23 yolo\n", + "[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00\n", + "Total BFLOPS 5.448 \n", + "avg_outputs = 324846 \n", + "Loading weights from yolov3-tiny.weights...\n", + " seen 64, trained: 32013 K-images (500 Kilo-batches_64) \n", + "Done! Loaded 13 layers from weights-file \n", + "Saving weights to yolov3-tiny.conv.13\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "bqIG3OUOOL2s", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "205a4df3-6336-4c82-d91e-3538c7b52d2a" + }, + "source": [ + "!./darknet detector train \"/content/darknet/obj.data\" \"/content/darknet/cfg/yolov3-tiny-custom.cfg\" \"/content/darknet/yolov3-tiny.conv.13\" -dont_show" + ], + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "text": [ + "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", + " total_bbox = 1051327, rewritten_bbox = 2.668247 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.737369, GIOU: 0.722414), Class: 0.999388, Obj: 0.622163, No Obj: 0.002556, .5R: 1.000000, .75R: 0.434783, count: 23, class_loss = 0.318714, iou_loss = 0.160013, total_loss = 0.478728 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746222, GIOU: 0.735603), Class: 0.996244, Obj: 0.554773, No Obj: 0.000734, .5R: 1.000000, .75R: 0.518519, count: 27, class_loss = 0.348617, iou_loss = 0.180832, total_loss = 0.529449 \n", + " total_bbox = 1051377, rewritten_bbox = 2.668120 % \n", + "\n", + " 9475: 0.440768, 0.489317 avg loss, 0.000010 rate, 0.275637 seconds, 606400 images, 0.368728 hours left\n", + "Loaded: 1.641587 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762358, GIOU: 0.754234), Class: 0.999440, Obj: 0.717820, No Obj: 0.003241, .5R: 0.970588, .75R: 0.647059, count: 34, class_loss = 0.281600, iou_loss = 0.192543, total_loss = 0.474143 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.707205, GIOU: 0.671831), Class: 0.990596, Obj: 0.712588, No Obj: 0.000541, .5R: 0.850000, .75R: 0.600000, count: 20, class_loss = 0.158785, iou_loss = 0.361807, total_loss = 0.520592 \n", + " total_bbox = 1051431, rewritten_bbox = 2.668173 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761198, GIOU: 0.746381), Class: 0.999515, Obj: 0.628494, No Obj: 0.003062, .5R: 1.000000, .75R: 0.535714, count: 28, class_loss = 0.293836, iou_loss = 0.190105, total_loss = 0.483941 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752023, GIOU: 0.740623), Class: 0.998011, Obj: 0.537562, No Obj: 0.000923, .5R: 0.975000, .75R: 0.500000, count: 40, class_loss = 0.507694, iou_loss = 0.307362, total_loss = 0.815056 \n", + " total_bbox = 1051499, rewritten_bbox = 2.668191 % \n", + "\n", + " 9476: 0.573433, 0.497729 avg loss, 0.000010 rate, 0.308745 seconds, 606464 images, 0.368090 hours left\n", + "Loaded: 1.889032 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792942, GIOU: 0.786451), Class: 0.999731, Obj: 0.773848, No Obj: 0.004156, .5R: 1.000000, .75R: 0.676471, count: 34, class_loss = 0.216326, iou_loss = 0.147304, total_loss = 0.363629 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766457, GIOU: 0.754717), Class: 0.998993, Obj: 0.625821, No Obj: 0.000725, .5R: 0.966667, .75R: 0.633333, count: 30, class_loss = 0.337878, iou_loss = 0.169881, total_loss = 0.507759 \n", + " total_bbox = 1051563, rewritten_bbox = 2.668314 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790634, GIOU: 0.782198), Class: 0.999764, Obj: 0.777450, No Obj: 0.003129, .5R: 1.000000, .75R: 0.653846, count: 26, class_loss = 0.158662, iou_loss = 0.100183, total_loss = 0.258845 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715123, GIOU: 0.700593), Class: 0.997994, Obj: 0.493107, No Obj: 0.000685, .5R: 0.962963, .75R: 0.407407, count: 27, class_loss = 0.398334, iou_loss = 0.212048, total_loss = 0.610382 \n", + " total_bbox = 1051616, rewritten_bbox = 2.668179 % \n", + "\n", + " 9477: 0.435154, 0.491471 avg loss, 0.000010 rate, 0.274908 seconds, 606528 images, 0.367248 hours left\n", + "Loaded: 1.770884 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792646, GIOU: 0.786309), Class: 0.999445, Obj: 0.738798, No Obj: 0.003807, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.242760, iou_loss = 0.168733, total_loss = 0.411493 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781159, GIOU: 0.768153), Class: 0.997487, Obj: 0.502295, No Obj: 0.000461, .5R: 0.947368, .75R: 0.684211, count: 19, class_loss = 0.282600, iou_loss = 0.144374, total_loss = 0.426974 \n", + " total_bbox = 1051667, rewritten_bbox = 2.668335 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795316, GIOU: 0.790784), Class: 0.997696, Obj: 0.574055, No Obj: 0.002560, .5R: 1.000000, .75R: 0.800000, count: 25, class_loss = 0.300502, iou_loss = 0.138285, total_loss = 0.438788 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746667, GIOU: 0.738291), Class: 0.998076, Obj: 0.472987, No Obj: 0.000770, .5R: 0.939394, .75R: 0.575758, count: 33, class_loss = 0.463829, iou_loss = 0.273757, total_loss = 0.737586 \n", + " total_bbox = 1051725, rewritten_bbox = 2.668283 % \n", + "\n", + " 9478: 0.503710, 0.492695 avg loss, 0.000010 rate, 0.305525 seconds, 606592 images, 0.366719 hours left\n", + "Loaded: 1.836579 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768930, GIOU: 0.758948), Class: 0.999803, Obj: 0.789015, No Obj: 0.002389, .5R: 1.000000, .75R: 0.529412, count: 17, class_loss = 0.148552, iou_loss = 0.080528, total_loss = 0.229080 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767643, GIOU: 0.758803), Class: 0.997609, Obj: 0.588943, No Obj: 0.000571, .5R: 1.000000, .75R: 0.583333, count: 24, class_loss = 0.246212, iou_loss = 0.153322, total_loss = 0.399534 \n", + " total_bbox = 1051766, rewritten_bbox = 2.668179 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759080, GIOU: 0.753804), Class: 0.999847, Obj: 0.658510, No Obj: 0.002933, .5R: 1.000000, .75R: 0.538462, count: 26, class_loss = 0.301485, iou_loss = 0.155020, total_loss = 0.456504 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748459, GIOU: 0.734269), Class: 0.995131, Obj: 0.491169, No Obj: 0.000824, .5R: 0.942857, .75R: 0.657143, count: 35, class_loss = 0.512232, iou_loss = 0.250300, total_loss = 0.762532 \n", + " total_bbox = 1051827, rewritten_bbox = 2.668119 % \n", + "\n", + " 9479: 0.461913, 0.489617 avg loss, 0.000010 rate, 0.281754 seconds, 606656 images, 0.366063 hours left\n", + "Loaded: 1.815954 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.823301, GIOU: 0.818870), Class: 0.999681, Obj: 0.744245, No Obj: 0.002324, .5R: 1.000000, .75R: 0.850000, count: 20, class_loss = 0.149912, iou_loss = 0.072101, total_loss = 0.222013 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770140, GIOU: 0.759875), Class: 0.997221, Obj: 0.549658, No Obj: 0.000835, .5R: 0.971429, .75R: 0.600000, count: 35, class_loss = 0.397734, iou_loss = 0.227978, total_loss = 0.625712 \n", + " total_bbox = 1051882, rewritten_bbox = 2.668170 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781310, GIOU: 0.774687), Class: 0.999759, Obj: 0.733260, No Obj: 0.003452, .5R: 0.964286, .75R: 0.714286, count: 28, class_loss = 0.158022, iou_loss = 0.136786, total_loss = 0.294808 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721212, GIOU: 0.690715), Class: 0.995658, Obj: 0.554853, No Obj: 0.000819, .5R: 0.862069, .75R: 0.586207, count: 29, class_loss = 0.381798, iou_loss = 0.370224, total_loss = 0.752022 \n", + " total_bbox = 1051939, rewritten_bbox = 2.668120 % \n", + "\n", + " 9480: 0.473639, 0.488019 avg loss, 0.000010 rate, 0.279148 seconds, 606720 images, 0.365468 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.848092 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778361, GIOU: 0.770024), Class: 0.999411, Obj: 0.731472, No Obj: 0.003529, .5R: 0.968750, .75R: 0.656250, count: 32, class_loss = 0.283775, iou_loss = 0.155413, total_loss = 0.439188 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.663640, GIOU: 0.644641), Class: 0.987553, Obj: 0.469435, No Obj: 0.000538, .5R: 0.913043, .75R: 0.260870, count: 23, class_loss = 0.321285, iou_loss = 0.247632, total_loss = 0.568918 \n", + " total_bbox = 1051994, rewritten_bbox = 2.668171 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793929, GIOU: 0.786645), Class: 0.999544, Obj: 0.747409, No Obj: 0.003876, .5R: 1.000000, .75R: 0.709677, count: 31, class_loss = 0.202252, iou_loss = 0.150051, total_loss = 0.352303 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.726968, GIOU: 0.706986), Class: 0.994442, Obj: 0.483228, No Obj: 0.000636, .5R: 0.840000, .75R: 0.560000, count: 25, class_loss = 0.410216, iou_loss = 0.257669, total_loss = 0.667885 \n", + " total_bbox = 1052050, rewritten_bbox = 2.668029 % \n", + "\n", + " 9481: 0.507074, 0.489924 avg loss, 0.000010 rate, 0.278308 seconds, 606784 images, 0.364839 hours left\n", + "Loaded: 2.008399 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763581, GIOU: 0.753967), Class: 0.999648, Obj: 0.703097, No Obj: 0.003061, .5R: 1.000000, .75R: 0.769231, count: 26, class_loss = 0.288701, iou_loss = 0.155947, total_loss = 0.444648 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.697815, GIOU: 0.675686), Class: 0.995942, Obj: 0.503750, No Obj: 0.000629, .5R: 0.814815, .75R: 0.481481, count: 27, class_loss = 0.353911, iou_loss = 0.349440, total_loss = 0.703351 \n", + " total_bbox = 1052103, rewritten_bbox = 2.668085 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812311, GIOU: 0.807996), Class: 0.999781, Obj: 0.876707, No Obj: 0.002526, .5R: 1.000000, .75R: 0.823529, count: 17, class_loss = 0.069825, iou_loss = 0.051535, total_loss = 0.121360 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760120, GIOU: 0.740101), Class: 0.996276, Obj: 0.595632, No Obj: 0.000934, .5R: 0.916667, .75R: 0.638889, count: 36, class_loss = 0.456443, iou_loss = 0.315804, total_loss = 0.772248 \n", + " total_bbox = 1052156, rewritten_bbox = 2.668140 % \n", + "\n", + " 9482: 0.510401, 0.491972 avg loss, 0.000010 rate, 0.301181 seconds, 606848 images, 0.364259 hours left\n", + "Loaded: 1.917382 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767833, GIOU: 0.759900), Class: 0.999548, Obj: 0.566606, No Obj: 0.002549, .5R: 1.000000, .75R: 0.586207, count: 29, class_loss = 0.368351, iou_loss = 0.154288, total_loss = 0.522639 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.705488, GIOU: 0.674534), Class: 0.991650, Obj: 0.576044, No Obj: 0.000677, .5R: 0.904762, .75R: 0.523810, count: 21, class_loss = 0.324221, iou_loss = 0.215459, total_loss = 0.539680 \n", + " total_bbox = 1052206, rewritten_bbox = 2.668109 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792948, GIOU: 0.784072), Class: 0.999438, Obj: 0.715613, No Obj: 0.003618, .5R: 1.000000, .75R: 0.787879, count: 33, class_loss = 0.243643, iou_loss = 0.181592, total_loss = 0.425235 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744331, GIOU: 0.729214), Class: 0.995040, Obj: 0.555697, No Obj: 0.000654, .5R: 1.000000, .75R: 0.480000, count: 25, class_loss = 0.291791, iou_loss = 0.179877, total_loss = 0.471668 \n", + " total_bbox = 1052264, rewritten_bbox = 2.668152 % \n", + "\n", + " 9483: 0.489806, 0.491755 avg loss, 0.000010 rate, 0.306798 seconds, 606912 images, 0.363940 hours left\n", + "Loaded: 1.769374 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785307, GIOU: 0.775674), Class: 0.999359, Obj: 0.642333, No Obj: 0.003280, .5R: 1.000000, .75R: 0.760000, count: 25, class_loss = 0.344744, iou_loss = 0.113973, total_loss = 0.458717 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749188, GIOU: 0.729069), Class: 0.996294, Obj: 0.625127, No Obj: 0.000886, .5R: 0.944444, .75R: 0.638889, count: 36, class_loss = 0.332527, iou_loss = 0.222904, total_loss = 0.555431 \n", + " total_bbox = 1052325, rewritten_bbox = 2.668377 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791768, GIOU: 0.785044), Class: 0.999693, Obj: 0.685360, No Obj: 0.003482, .5R: 1.000000, .75R: 0.807692, count: 26, class_loss = 0.292128, iou_loss = 0.119736, total_loss = 0.411864 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729799, GIOU: 0.720405), Class: 0.993731, Obj: 0.511462, No Obj: 0.000679, .5R: 0.931035, .75R: 0.551724, count: 29, class_loss = 0.513072, iou_loss = 0.260843, total_loss = 0.773915 \n", + " total_bbox = 1052380, rewritten_bbox = 2.668333 % \n", + "\n", + " 9484: 0.549982, 0.497578 avg loss, 0.000010 rate, 0.262977 seconds, 606976 images, 0.363499 hours left\n", + "Loaded: 1.886013 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793406, GIOU: 0.784093), Class: 0.999635, Obj: 0.612004, No Obj: 0.003752, .5R: 1.000000, .75R: 0.741935, count: 31, class_loss = 0.385712, iou_loss = 0.161257, total_loss = 0.546968 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783212, GIOU: 0.774637), Class: 0.999176, Obj: 0.595216, No Obj: 0.000746, .5R: 1.000000, .75R: 0.625000, count: 24, class_loss = 0.366064, iou_loss = 0.114605, total_loss = 0.480669 \n", + " total_bbox = 1052435, rewritten_bbox = 2.668288 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795530, GIOU: 0.789695), Class: 0.999559, Obj: 0.644487, No Obj: 0.003144, .5R: 1.000000, .75R: 0.680000, count: 25, class_loss = 0.343633, iou_loss = 0.126262, total_loss = 0.469895 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749238, GIOU: 0.735816), Class: 0.994478, Obj: 0.595224, No Obj: 0.001024, .5R: 0.951219, .75R: 0.585366, count: 41, class_loss = 0.499039, iou_loss = 0.249797, total_loss = 0.748836 \n", + " total_bbox = 1052501, rewritten_bbox = 2.668121 % \n", + "\n", + " 9485: 0.561592, 0.503980 avg loss, 0.000010 rate, 0.258511 seconds, 607040 images, 0.362792 hours left\n", + "Loaded: 1.763561 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809521, GIOU: 0.804137), Class: 0.999710, Obj: 0.711236, No Obj: 0.003840, .5R: 1.000000, .75R: 0.825000, count: 40, class_loss = 0.288855, iou_loss = 0.137244, total_loss = 0.426098 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738670, GIOU: 0.728666), Class: 0.995019, Obj: 0.403600, No Obj: 0.000624, .5R: 1.000000, .75R: 0.384615, count: 26, class_loss = 0.461552, iou_loss = 0.199129, total_loss = 0.660681 \n", + " total_bbox = 1052567, rewritten_bbox = 2.668049 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813204, GIOU: 0.808669), Class: 0.999733, Obj: 0.767837, No Obj: 0.003458, .5R: 1.000000, .75R: 0.857143, count: 28, class_loss = 0.214742, iou_loss = 0.124700, total_loss = 0.339442 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730597, GIOU: 0.713341), Class: 0.998914, Obj: 0.507809, No Obj: 0.000651, .5R: 0.964286, .75R: 0.500000, count: 28, class_loss = 0.351081, iou_loss = 0.253650, total_loss = 0.604731 \n", + " total_bbox = 1052623, rewritten_bbox = 2.667907 % \n", + "\n", + " 9486: 0.507738, 0.504355 avg loss, 0.000010 rate, 0.282061 seconds, 607104 images, 0.362231 hours left\n", + "Loaded: 1.812419 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.733867, GIOU: 0.717622), Class: 0.999461, Obj: 0.585185, No Obj: 0.002730, .5R: 0.884615, .75R: 0.500000, count: 26, class_loss = 0.321422, iou_loss = 0.241646, total_loss = 0.563067 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783152, GIOU: 0.776139), Class: 0.999009, Obj: 0.649728, No Obj: 0.000688, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.276390, iou_loss = 0.117495, total_loss = 0.393885 \n", + " total_bbox = 1052672, rewritten_bbox = 2.667783 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778788, GIOU: 0.771525), Class: 0.999809, Obj: 0.737404, No Obj: 0.002140, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.198124, iou_loss = 0.101215, total_loss = 0.299339 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730084, GIOU: 0.711230), Class: 0.996957, Obj: 0.611063, No Obj: 0.000880, .5R: 0.967742, .75R: 0.612903, count: 31, class_loss = 0.321982, iou_loss = 0.284154, total_loss = 0.606137 \n", + " total_bbox = 1052721, rewritten_bbox = 2.667753 % \n", + "\n", + " 9487: 0.465607, 0.500481 avg loss, 0.000010 rate, 0.231594 seconds, 607168 images, 0.361530 hours left\n", + "Loaded: 1.751917 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788256, GIOU: 0.783760), Class: 0.999602, Obj: 0.738799, No Obj: 0.004063, .5R: 1.000000, .75R: 0.696970, count: 33, class_loss = 0.246291, iou_loss = 0.121315, total_loss = 0.367606 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743225, GIOU: 0.730012), Class: 0.997545, Obj: 0.566181, No Obj: 0.000909, .5R: 0.968750, .75R: 0.531250, count: 32, class_loss = 0.369609, iou_loss = 0.269627, total_loss = 0.639236 \n", + " total_bbox = 1052786, rewritten_bbox = 2.667779 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801311, GIOU: 0.795628), Class: 0.999757, Obj: 0.694700, No Obj: 0.002313, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.173750, iou_loss = 0.063998, total_loss = 0.237748 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760469, GIOU: 0.752096), Class: 0.998669, Obj: 0.606283, No Obj: 0.000918, .5R: 1.000000, .75R: 0.620690, count: 29, class_loss = 0.442793, iou_loss = 0.172203, total_loss = 0.614996 \n", + " total_bbox = 1052835, rewritten_bbox = 2.667749 % \n", + "\n", + " 9488: 0.464897, 0.496922 avg loss, 0.000010 rate, 0.253041 seconds, 607232 images, 0.360827 hours left\n", + "Loaded: 1.858840 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764170, GIOU: 0.752859), Class: 0.999564, Obj: 0.643840, No Obj: 0.002721, .5R: 0.964286, .75R: 0.607143, count: 28, class_loss = 0.239474, iou_loss = 0.184941, total_loss = 0.424415 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755835, GIOU: 0.745159), Class: 0.999026, Obj: 0.564347, No Obj: 0.000656, .5R: 1.000000, .75R: 0.608696, count: 23, class_loss = 0.303073, iou_loss = 0.137982, total_loss = 0.441055 \n", + " total_bbox = 1052886, rewritten_bbox = 2.667810 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760828, GIOU: 0.750608), Class: 0.999246, Obj: 0.605736, No Obj: 0.003588, .5R: 1.000000, .75R: 0.678571, count: 28, class_loss = 0.408302, iou_loss = 0.139537, total_loss = 0.547839 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791949, GIOU: 0.783377), Class: 0.998205, Obj: 0.510187, No Obj: 0.000743, .5R: 1.000000, .75R: 0.696970, count: 33, class_loss = 0.479011, iou_loss = 0.164715, total_loss = 0.643726 \n", + " total_bbox = 1052947, rewritten_bbox = 2.667941 % \n", + "\n", + " 9489: 0.514258, 0.498656 avg loss, 0.000010 rate, 0.344768 seconds, 607296 images, 0.360071 hours left\n", + "Loaded: 2.390581 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757818, GIOU: 0.753484), Class: 0.999763, Obj: 0.694801, No Obj: 0.002662, .5R: 1.000000, .75R: 0.652174, count: 23, class_loss = 0.230147, iou_loss = 0.115858, total_loss = 0.346004 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757730, GIOU: 0.743074), Class: 0.999223, Obj: 0.559981, No Obj: 0.000563, .5R: 0.947368, .75R: 0.578947, count: 19, class_loss = 0.242759, iou_loss = 0.151809, total_loss = 0.394568 \n", + " total_bbox = 1052989, rewritten_bbox = 2.667929 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811011, GIOU: 0.805782), Class: 0.999849, Obj: 0.769432, No Obj: 0.003858, .5R: 1.000000, .75R: 0.857143, count: 35, class_loss = 0.190980, iou_loss = 0.108980, total_loss = 0.299961 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751265, GIOU: 0.740291), Class: 0.997420, Obj: 0.575672, No Obj: 0.001072, .5R: 0.930233, .75R: 0.674419, count: 43, class_loss = 0.480133, iou_loss = 0.294391, total_loss = 0.774524 \n", + " total_bbox = 1053067, rewritten_bbox = 2.668301 % \n", + "\n", + " 9490: 0.453764, 0.494167 avg loss, 0.000010 rate, 0.240421 seconds, 607360 images, 0.359600 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 544 x 544 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000056 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787806, GIOU: 0.781862), Class: 0.999322, Obj: 0.701414, No Obj: 0.002688, .5R: 1.000000, .75R: 0.686275, count: 51, class_loss = 0.380915, iou_loss = 0.269780, total_loss = 0.650695 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760005, GIOU: 0.739555), Class: 0.997702, Obj: 0.447163, No Obj: 0.000141, .5R: 0.888889, .75R: 0.555556, count: 9, class_loss = 0.201533, iou_loss = 0.081473, total_loss = 0.283005 \n", + " total_bbox = 1053127, rewritten_bbox = 2.668529 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798430, GIOU: 0.792010), Class: 0.998986, Obj: 0.633728, No Obj: 0.002344, .5R: 1.000000, .75R: 0.739130, count: 46, class_loss = 0.572225, iou_loss = 0.286153, total_loss = 0.858378 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.663121, GIOU: 0.635236), Class: 0.998506, Obj: 0.500421, No Obj: 0.000170, .5R: 0.818182, .75R: 0.636364, count: 11, class_loss = 0.226617, iou_loss = 0.164703, total_loss = 0.391320 \n", + " total_bbox = 1053184, rewritten_bbox = 2.668669 % \n", + "\n", + " 9491: 0.545850, 0.499335 avg loss, 0.000010 rate, 0.704662 seconds, 607424 images, 0.359731 hours left\n", + "Loaded: 1.759695 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765432, GIOU: 0.755945), Class: 0.998657, Obj: 0.662164, No Obj: 0.002699, .5R: 1.000000, .75R: 0.596154, count: 52, class_loss = 0.565090, iou_loss = 0.352283, total_loss = 0.917373 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739422, GIOU: 0.728610), Class: 0.984654, Obj: 0.110536, No Obj: 0.000071, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.244032, iou_loss = 0.060318, total_loss = 0.304350 \n", + " total_bbox = 1053244, rewritten_bbox = 2.668612 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805495, GIOU: 0.797286), Class: 0.998935, Obj: 0.739443, No Obj: 0.002627, .5R: 1.000000, .75R: 0.755102, count: 49, class_loss = 0.368857, iou_loss = 0.281506, total_loss = 0.650363 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801816, GIOU: 0.791435), Class: 0.999778, Obj: 0.678666, No Obj: 0.000074, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.030865, iou_loss = 0.010841, total_loss = 0.041706 \n", + " total_bbox = 1053296, rewritten_bbox = 2.668576 % \n", + "\n", + " 9492: 0.478448, 0.497246 avg loss, 0.000010 rate, 0.656009 seconds, 607488 images, 0.357166 hours left\n", + "Loaded: 1.743563 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794632, GIOU: 0.786923), Class: 0.999256, Obj: 0.752749, No Obj: 0.002743, .5R: 1.000000, .75R: 0.680000, count: 50, class_loss = 0.399484, iou_loss = 0.235792, total_loss = 0.635276 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748255, GIOU: 0.733299), Class: 0.996628, Obj: 0.548090, No Obj: 0.000179, .5R: 1.000000, .75R: 0.461538, count: 13, class_loss = 0.152595, iou_loss = 0.123516, total_loss = 0.276111 \n", + " total_bbox = 1053359, rewritten_bbox = 2.668511 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786765, GIOU: 0.780497), Class: 0.999440, Obj: 0.707703, No Obj: 0.002358, .5R: 0.979167, .75R: 0.750000, count: 48, class_loss = 0.369979, iou_loss = 0.253549, total_loss = 0.623529 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788899, GIOU: 0.780150), Class: 0.999182, Obj: 0.573763, No Obj: 0.000105, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.110448, iou_loss = 0.036818, total_loss = 0.147266 \n", + " total_bbox = 1053414, rewritten_bbox = 2.668372 % \n", + "\n", + " 9493: 0.420545, 0.489576 avg loss, 0.000010 rate, 0.663726 seconds, 607552 images, 0.357008 hours left\n", + "Loaded: 1.661274 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791992, GIOU: 0.786572), Class: 0.999497, Obj: 0.695977, No Obj: 0.001949, .5R: 1.000000, .75R: 0.709677, count: 31, class_loss = 0.336568, iou_loss = 0.170108, total_loss = 0.506676 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785973, GIOU: 0.780535), Class: 0.997846, Obj: 0.629549, No Obj: 0.000233, .5R: 1.000000, .75R: 0.571429, count: 21, class_loss = 0.252004, iou_loss = 0.114519, total_loss = 0.366522 \n", + " total_bbox = 1053466, rewritten_bbox = 2.668525 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766602, GIOU: 0.758810), Class: 0.999622, Obj: 0.680473, No Obj: 0.002601, .5R: 0.961538, .75R: 0.653846, count: 52, class_loss = 0.444216, iou_loss = 0.301300, total_loss = 0.745516 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751026, GIOU: 0.737958), Class: 0.999146, Obj: 0.583278, No Obj: 0.000175, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.206760, iou_loss = 0.074816, total_loss = 0.281576 \n", + " total_bbox = 1053529, rewritten_bbox = 2.668555 % \n", + "\n", + " 9494: 0.475073, 0.488126 avg loss, 0.000010 rate, 0.671128 seconds, 607616 images, 0.356833 hours left\n", + "Loaded: 1.626224 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791224, GIOU: 0.787691), Class: 0.999527, Obj: 0.748950, No Obj: 0.002409, .5R: 1.000000, .75R: 0.687500, count: 48, class_loss = 0.358080, iou_loss = 0.290712, total_loss = 0.648792 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778484, GIOU: 0.767351), Class: 0.999699, Obj: 0.568328, No Obj: 0.000133, .5R: 1.000000, .75R: 0.666667, count: 12, class_loss = 0.134367, iou_loss = 0.068974, total_loss = 0.203341 \n", + " total_bbox = 1053589, rewritten_bbox = 2.668593 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782905, GIOU: 0.776418), Class: 0.999156, Obj: 0.692991, No Obj: 0.002555, .5R: 1.000000, .75R: 0.625000, count: 48, class_loss = 0.485813, iou_loss = 0.266115, total_loss = 0.751928 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775966, GIOU: 0.768447), Class: 0.999704, Obj: 0.561349, No Obj: 0.000101, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.101016, iou_loss = 0.084999, total_loss = 0.186015 \n", + " total_bbox = 1053646, rewritten_bbox = 2.668733 % \n", + "\n", + " 9495: 0.447519, 0.484065 avg loss, 0.000010 rate, 0.864448 seconds, 607680 images, 0.356543 hours left\n", + "Loaded: 1.520995 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781658, GIOU: 0.770994), Class: 0.999466, Obj: 0.709158, No Obj: 0.002502, .5R: 0.980000, .75R: 0.700000, count: 50, class_loss = 0.411126, iou_loss = 0.431190, total_loss = 0.842316 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780518, GIOU: 0.775515), Class: 0.999776, Obj: 0.575128, No Obj: 0.000130, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.149757, iou_loss = 0.061840, total_loss = 0.211598 \n", + " total_bbox = 1053706, rewritten_bbox = 2.668771 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801527, GIOU: 0.793209), Class: 0.999557, Obj: 0.734599, No Obj: 0.002687, .5R: 1.000000, .75R: 0.773585, count: 53, class_loss = 0.459536, iou_loss = 0.281433, total_loss = 0.740969 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.592052, GIOU: 0.536911), Class: 0.988751, Obj: 0.344920, No Obj: 0.000097, .5R: 0.714286, .75R: 0.285714, count: 7, class_loss = 0.198443, iou_loss = 0.152725, total_loss = 0.351168 \n", + " total_bbox = 1053766, rewritten_bbox = 2.668904 % \n", + "\n", + " 9496: 0.536513, 0.489310 avg loss, 0.000010 rate, 0.723134 seconds, 607744 images, 0.356471 hours left\n", + "Loaded: 1.720134 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793784, GIOU: 0.786752), Class: 0.999643, Obj: 0.722088, No Obj: 0.002152, .5R: 0.976744, .75R: 0.744186, count: 43, class_loss = 0.425137, iou_loss = 0.185589, total_loss = 0.610726 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744400, GIOU: 0.734201), Class: 0.999184, Obj: 0.576467, No Obj: 0.000121, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.156925, iou_loss = 0.071745, total_loss = 0.228669 \n", + " total_bbox = 1053819, rewritten_bbox = 2.668864 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794492, GIOU: 0.786731), Class: 0.999521, Obj: 0.684487, No Obj: 0.002179, .5R: 0.976744, .75R: 0.697674, count: 43, class_loss = 0.351824, iou_loss = 0.237622, total_loss = 0.589446 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.706020, GIOU: 0.687424), Class: 0.991628, Obj: 0.605936, No Obj: 0.000146, .5R: 0.923077, .75R: 0.538462, count: 13, class_loss = 0.118836, iou_loss = 0.103534, total_loss = 0.222369 \n", + " total_bbox = 1053875, rewritten_bbox = 2.668723 % \n", + "\n", + " 9497: 0.412803, 0.481659 avg loss, 0.000010 rate, 0.740558 seconds, 607808 images, 0.356048 hours left\n", + "Loaded: 1.918732 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785785, GIOU: 0.779376), Class: 0.999746, Obj: 0.770173, No Obj: 0.002395, .5R: 0.953488, .75R: 0.720930, count: 43, class_loss = 0.250122, iou_loss = 0.262000, total_loss = 0.512122 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800097, GIOU: 0.795063), Class: 0.998960, Obj: 0.506544, No Obj: 0.000195, .5R: 1.000000, .75R: 0.789474, count: 19, class_loss = 0.307694, iou_loss = 0.076722, total_loss = 0.384416 \n", + " total_bbox = 1053937, rewritten_bbox = 2.668850 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.821479, GIOU: 0.816558), Class: 0.999701, Obj: 0.754407, No Obj: 0.002887, .5R: 1.000000, .75R: 0.859649, count: 57, class_loss = 0.372684, iou_loss = 0.268522, total_loss = 0.641206 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800635, GIOU: 0.793535), Class: 0.998943, Obj: 0.730587, No Obj: 0.000219, .5R: 1.000000, .75R: 0.785714, count: 14, class_loss = 0.162957, iou_loss = 0.086928, total_loss = 0.249885 \n", + " total_bbox = 1054008, rewritten_bbox = 2.669050 % \n", + "\n", + " 9498: 0.446907, 0.478184 avg loss, 0.000010 rate, 0.722427 seconds, 607872 images, 0.355926 hours left\n", + "Loaded: 1.386889 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793465, GIOU: 0.786989), Class: 0.999336, Obj: 0.664252, No Obj: 0.002827, .5R: 0.982759, .75R: 0.758621, count: 58, class_loss = 0.518058, iou_loss = 0.325208, total_loss = 0.843266 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774454, GIOU: 0.771901), Class: 0.998859, Obj: 0.573712, No Obj: 0.000150, .5R: 1.000000, .75R: 0.666667, count: 15, class_loss = 0.213642, iou_loss = 0.096716, total_loss = 0.310357 \n", + " total_bbox = 1054081, rewritten_bbox = 2.669339 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788702, GIOU: 0.783533), Class: 0.999576, Obj: 0.684551, No Obj: 0.002453, .5R: 0.979167, .75R: 0.791667, count: 48, class_loss = 0.465282, iou_loss = 0.276230, total_loss = 0.741512 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738034, GIOU: 0.724285), Class: 0.999450, Obj: 0.394068, No Obj: 0.000130, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.161728, iou_loss = 0.068093, total_loss = 0.229821 \n", + " total_bbox = 1054135, rewritten_bbox = 2.669392 % \n", + "\n", + " 9499: 0.531239, 0.483489 avg loss, 0.000010 rate, 0.809692 seconds, 607936 images, 0.356050 hours left\n", + "Loaded: 1.711669 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809313, GIOU: 0.805142), Class: 0.998907, Obj: 0.698405, No Obj: 0.002347, .5R: 0.978723, .75R: 0.702128, count: 47, class_loss = 0.419830, iou_loss = 0.244622, total_loss = 0.664451 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.708889, GIOU: 0.696438), Class: 0.997793, Obj: 0.563954, No Obj: 0.000112, .5R: 0.888889, .75R: 0.444444, count: 9, class_loss = 0.159291, iou_loss = 0.092590, total_loss = 0.251881 \n", + " total_bbox = 1054191, rewritten_bbox = 2.669725 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757174, GIOU: 0.748735), Class: 0.999500, Obj: 0.691772, No Obj: 0.002166, .5R: 1.000000, .75R: 0.531915, count: 47, class_loss = 0.416541, iou_loss = 0.335953, total_loss = 0.752494 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807146, GIOU: 0.801041), Class: 0.998697, Obj: 0.450339, No Obj: 0.000089, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.125584, iou_loss = 0.035260, total_loss = 0.160844 \n", + " total_bbox = 1054246, rewritten_bbox = 2.669965 % \n", + "\n", + " 9500: 0.457417, 0.480882 avg loss, 0.000010 rate, 0.763666 seconds, 608000 images, 0.355546 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 544 x 544 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.620305 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797486, GIOU: 0.791674), Class: 0.999213, Obj: 0.718969, No Obj: 0.002640, .5R: 1.000000, .75R: 0.725490, count: 51, class_loss = 0.500597, iou_loss = 0.245793, total_loss = 0.746390 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.650790, GIOU: 0.629057), Class: 0.986612, Obj: 0.139270, No Obj: 0.000041, .5R: 1.000000, .75R: 0.250000, count: 4, class_loss = 0.111234, iou_loss = 0.057676, total_loss = 0.168910 \n", + " total_bbox = 1054301, rewritten_bbox = 2.669921 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798633, GIOU: 0.792017), Class: 0.998997, Obj: 0.665418, No Obj: 0.002610, .5R: 1.000000, .75R: 0.811321, count: 53, class_loss = 0.587463, iou_loss = 0.379251, total_loss = 0.966715 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.812223, GIOU: 0.810720), Class: 0.998761, Obj: 0.479680, No Obj: 0.000075, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.077223, iou_loss = 0.027288, total_loss = 0.104511 \n", + " total_bbox = 1054360, rewritten_bbox = 2.669961 % \n", + "\n", + " 9501: 0.496632, 0.482457 avg loss, 0.000010 rate, 0.941387 seconds, 608064 images, 0.355429 hours left\n", + "Loaded: 1.675208 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792426, GIOU: 0.786133), Class: 0.999670, Obj: 0.692123, No Obj: 0.002483, .5R: 0.981132, .75R: 0.679245, count: 53, class_loss = 0.463915, iou_loss = 0.303035, total_loss = 0.766949 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746893, GIOU: 0.738829), Class: 0.996552, Obj: 0.508611, No Obj: 0.000128, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.133244, iou_loss = 0.063259, total_loss = 0.196503 \n", + " total_bbox = 1054422, rewritten_bbox = 2.670089 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791128, GIOU: 0.785224), Class: 0.999672, Obj: 0.671501, No Obj: 0.002071, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.412581, iou_loss = 0.223075, total_loss = 0.635656 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753027, GIOU: 0.740378), Class: 0.998843, Obj: 0.422878, No Obj: 0.000219, .5R: 0.944444, .75R: 0.500000, count: 18, class_loss = 0.300402, iou_loss = 0.122121, total_loss = 0.422523 \n", + " total_bbox = 1054483, rewritten_bbox = 2.669934 % \n", + "\n", + " 9502: 0.505408, 0.484752 avg loss, 0.000010 rate, 0.884003 seconds, 608128 images, 0.355425 hours left\n", + "Loaded: 1.420535 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778689, GIOU: 0.772164), Class: 0.999442, Obj: 0.688601, No Obj: 0.001821, .5R: 0.971429, .75R: 0.657143, count: 35, class_loss = 0.295776, iou_loss = 0.200550, total_loss = 0.496327 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765655, GIOU: 0.755842), Class: 0.999766, Obj: 0.463753, No Obj: 0.000087, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.128714, iou_loss = 0.051782, total_loss = 0.180495 \n", + " total_bbox = 1054525, rewritten_bbox = 2.669923 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779111, GIOU: 0.773364), Class: 0.999498, Obj: 0.746384, No Obj: 0.002280, .5R: 0.977778, .75R: 0.755556, count: 45, class_loss = 0.263179, iou_loss = 0.259558, total_loss = 0.522737 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779390, GIOU: 0.770066), Class: 0.999239, Obj: 0.665265, No Obj: 0.000109, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.056731, iou_loss = 0.033760, total_loss = 0.090491 \n", + " total_bbox = 1054576, rewritten_bbox = 2.669888 % \n", + "\n", + " 9503: 0.322513, 0.468528 avg loss, 0.000010 rate, 0.683752 seconds, 608192 images, 0.355417 hours left\n", + "Loaded: 1.809840 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788627, GIOU: 0.783056), Class: 0.999388, Obj: 0.655728, No Obj: 0.002452, .5R: 1.000000, .75R: 0.720930, count: 43, class_loss = 0.510661, iou_loss = 0.226886, total_loss = 0.737547 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770132, GIOU: 0.755050), Class: 0.994116, Obj: 0.544696, No Obj: 0.000138, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.179337, iou_loss = 0.103064, total_loss = 0.282402 \n", + " total_bbox = 1054632, rewritten_bbox = 2.669746 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792060, GIOU: 0.782835), Class: 0.999333, Obj: 0.710529, No Obj: 0.002358, .5R: 0.976191, .75R: 0.738095, count: 42, class_loss = 0.381838, iou_loss = 0.318457, total_loss = 0.700294 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.819838, GIOU: 0.816372), Class: 0.999148, Obj: 0.679723, No Obj: 0.000135, .5R: 1.000000, .75R: 0.818182, count: 11, class_loss = 0.123343, iou_loss = 0.052046, total_loss = 0.175389 \n", + " total_bbox = 1054685, rewritten_bbox = 2.669897 % \n", + "\n", + " 9504: 0.473908, 0.469066 avg loss, 0.000010 rate, 0.826299 seconds, 608256 images, 0.354770 hours left\n", + "Loaded: 1.594169 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777645, GIOU: 0.770980), Class: 0.999544, Obj: 0.676512, No Obj: 0.002156, .5R: 0.976744, .75R: 0.651163, count: 43, class_loss = 0.444594, iou_loss = 0.243614, total_loss = 0.688209 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751301, GIOU: 0.744041), Class: 0.999635, Obj: 0.643371, No Obj: 0.000107, .5R: 1.000000, .75R: 0.428571, count: 7, class_loss = 0.073875, iou_loss = 0.064315, total_loss = 0.138190 \n", + " total_bbox = 1054735, rewritten_bbox = 2.669770 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792199, GIOU: 0.788076), Class: 0.999507, Obj: 0.673512, No Obj: 0.002591, .5R: 1.000000, .75R: 0.725490, count: 51, class_loss = 0.539025, iou_loss = 0.319495, total_loss = 0.858520 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750671, GIOU: 0.741813), Class: 0.996059, Obj: 0.538713, No Obj: 0.000092, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.119501, iou_loss = 0.066330, total_loss = 0.185831 \n", + " total_bbox = 1054794, rewritten_bbox = 2.669810 % \n", + "\n", + " 9505: 0.467687, 0.468928 avg loss, 0.000010 rate, 0.733830 seconds, 608320 images, 0.354854 hours left\n", + "Loaded: 1.472515 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789012, GIOU: 0.780356), Class: 0.999377, Obj: 0.663371, No Obj: 0.002569, .5R: 1.000000, .75R: 0.700000, count: 50, class_loss = 0.505317, iou_loss = 0.264872, total_loss = 0.770189 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735096, GIOU: 0.724019), Class: 0.999053, Obj: 0.389090, No Obj: 0.000088, .5R: 0.875000, .75R: 0.625000, count: 8, class_loss = 0.164364, iou_loss = 0.074490, total_loss = 0.238855 \n", + " total_bbox = 1054852, rewritten_bbox = 2.669758 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772918, GIOU: 0.765878), Class: 0.998955, Obj: 0.727072, No Obj: 0.001833, .5R: 1.000000, .75R: 0.555556, count: 36, class_loss = 0.411166, iou_loss = 0.246384, total_loss = 0.657549 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766404, GIOU: 0.757671), Class: 0.997606, Obj: 0.576298, No Obj: 0.000093, .5R: 0.875000, .75R: 0.750000, count: 8, class_loss = 0.083306, iou_loss = 0.069218, total_loss = 0.152524 \n", + " total_bbox = 1054896, rewritten_bbox = 2.669742 % \n", + "\n", + " 9506: 0.454779, 0.467513 avg loss, 0.000010 rate, 0.729252 seconds, 608384 images, 0.354507 hours left\n", + "Loaded: 1.701009 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808955, GIOU: 0.801359), Class: 0.999285, Obj: 0.557232, No Obj: 0.002270, .5R: 1.000000, .75R: 0.780488, count: 41, class_loss = 0.548368, iou_loss = 0.211186, total_loss = 0.759554 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.789701, GIOU: 0.782193), Class: 0.999719, Obj: 0.586439, No Obj: 0.000178, .5R: 1.000000, .75R: 0.666667, count: 12, class_loss = 0.165701, iou_loss = 0.059333, total_loss = 0.225034 \n", + " total_bbox = 1054949, rewritten_bbox = 2.669608 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802214, GIOU: 0.797871), Class: 0.999385, Obj: 0.733159, No Obj: 0.002784, .5R: 1.000000, .75R: 0.754717, count: 53, class_loss = 0.488383, iou_loss = 0.241518, total_loss = 0.729901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771156, GIOU: 0.763824), Class: 0.996783, Obj: 0.412892, No Obj: 0.000137, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.171474, iou_loss = 0.062753, total_loss = 0.234227 \n", + " total_bbox = 1055012, rewritten_bbox = 2.669638 % \n", + "\n", + " 9507: 0.487179, 0.469480 avg loss, 0.000010 rate, 0.732328 seconds, 608448 images, 0.353983 hours left\n", + "Loaded: 1.692148 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782001, GIOU: 0.772825), Class: 0.999474, Obj: 0.634727, No Obj: 0.002408, .5R: 1.000000, .75R: 0.702128, count: 47, class_loss = 0.483074, iou_loss = 0.293072, total_loss = 0.776146 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746642, GIOU: 0.736843), Class: 0.997661, Obj: 0.520784, No Obj: 0.000166, .5R: 0.937500, .75R: 0.625000, count: 16, class_loss = 0.190123, iou_loss = 0.162733, total_loss = 0.352856 \n", + " total_bbox = 1055075, rewritten_bbox = 2.669668 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792850, GIOU: 0.784682), Class: 0.998999, Obj: 0.664745, No Obj: 0.002224, .5R: 1.000000, .75R: 0.704545, count: 44, class_loss = 0.489759, iou_loss = 0.211794, total_loss = 0.701554 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751814, GIOU: 0.739382), Class: 0.999467, Obj: 0.384657, No Obj: 0.000125, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.168588, iou_loss = 0.076827, total_loss = 0.245414 \n", + " total_bbox = 1055127, rewritten_bbox = 2.669536 % \n", + "\n", + " 9508: 0.518993, 0.474431 avg loss, 0.000010 rate, 0.734362 seconds, 608512 images, 0.353775 hours left\n", + "Loaded: 1.946951 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784005, GIOU: 0.778342), Class: 0.998826, Obj: 0.711459, No Obj: 0.002703, .5R: 1.000000, .75R: 0.750000, count: 48, class_loss = 0.541720, iou_loss = 0.253493, total_loss = 0.795213 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777025, GIOU: 0.772179), Class: 0.999454, Obj: 0.636915, No Obj: 0.000091, .5R: 0.888889, .75R: 0.777778, count: 9, class_loss = 0.074365, iou_loss = 0.078146, total_loss = 0.152511 \n", + " total_bbox = 1055184, rewritten_bbox = 2.669677 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780130, GIOU: 0.773249), Class: 0.999486, Obj: 0.751362, No Obj: 0.002649, .5R: 1.000000, .75R: 0.652174, count: 46, class_loss = 0.373046, iou_loss = 0.244950, total_loss = 0.617996 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749780, GIOU: 0.740703), Class: 0.995318, Obj: 0.656988, No Obj: 0.000104, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.067829, iou_loss = 0.050321, total_loss = 0.118151 \n", + " total_bbox = 1055234, rewritten_bbox = 2.669834 % \n", + "\n", + " 9509: 0.420968, 0.469085 avg loss, 0.000010 rate, 0.786112 seconds, 608576 images, 0.353554 hours left\n", + "Loaded: 1.441701 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761078, GIOU: 0.753386), Class: 0.999204, Obj: 0.638035, No Obj: 0.002381, .5R: 0.960000, .75R: 0.600000, count: 50, class_loss = 0.513924, iou_loss = 0.371852, total_loss = 0.885776 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719832, GIOU: 0.694551), Class: 0.995427, Obj: 0.415041, No Obj: 0.000152, .5R: 0.923077, .75R: 0.615385, count: 13, class_loss = 0.220932, iou_loss = 0.156990, total_loss = 0.377922 \n", + " total_bbox = 1055297, rewritten_bbox = 2.669770 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798877, GIOU: 0.793008), Class: 0.999544, Obj: 0.710662, No Obj: 0.002158, .5R: 1.000000, .75R: 0.837838, count: 37, class_loss = 0.344827, iou_loss = 0.190964, total_loss = 0.535791 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753623, GIOU: 0.744943), Class: 0.999925, Obj: 0.523967, No Obj: 0.000083, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.123334, iou_loss = 0.044705, total_loss = 0.168038 \n", + " total_bbox = 1055341, rewritten_bbox = 2.669848 % \n", + "\n", + " 9510: 0.491882, 0.471365 avg loss, 0.000010 rate, 0.724603 seconds, 608640 images, 0.353746 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000041 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783168, GIOU: 0.775404), Class: 0.998945, Obj: 0.561753, No Obj: 0.001966, .5R: 0.977778, .75R: 0.711111, count: 45, class_loss = 0.622434, iou_loss = 0.295420, total_loss = 0.917854 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728523, GIOU: 0.718152), Class: 0.996966, Obj: 0.435006, No Obj: 0.000049, .5R: 1.000000, .75R: 0.375000, count: 8, class_loss = 0.118893, iou_loss = 0.064894, total_loss = 0.183787 \n", + " total_bbox = 1055394, rewritten_bbox = 2.669714 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804710, GIOU: 0.800001), Class: 0.999140, Obj: 0.599243, No Obj: 0.001865, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.488303, iou_loss = 0.220499, total_loss = 0.708801 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761962, GIOU: 0.752238), Class: 0.999414, Obj: 0.613846, No Obj: 0.000056, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.024244, iou_loss = 0.033871, total_loss = 0.058116 \n", + " total_bbox = 1055440, rewritten_bbox = 2.669598 % \n", + "\n", + " 9511: 0.467139, 0.470942 avg loss, 0.000010 rate, 0.792004 seconds, 608704 images, 0.353157 hours left\n", + "Loaded: 1.500105 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767400, GIOU: 0.756454), Class: 0.999195, Obj: 0.608203, No Obj: 0.002436, .5R: 1.000000, .75R: 0.574074, count: 54, class_loss = 0.740562, iou_loss = 0.315791, total_loss = 1.056353 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776787, GIOU: 0.773196), Class: 0.999685, Obj: 0.449264, No Obj: 0.000099, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.175441, iou_loss = 0.042979, total_loss = 0.218421 \n", + " total_bbox = 1055503, rewritten_bbox = 2.669438 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790371, GIOU: 0.784371), Class: 0.998866, Obj: 0.629108, No Obj: 0.002258, .5R: 1.000000, .75R: 0.729167, count: 48, class_loss = 0.670297, iou_loss = 0.277222, total_loss = 0.947519 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.815476, GIOU: 0.811440), Class: 0.999085, Obj: 0.180591, No Obj: 0.000024, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.068892, iou_loss = 0.009918, total_loss = 0.078810 \n", + " total_bbox = 1055554, rewritten_bbox = 2.669309 % \n", + "\n", + " 9512: 0.575276, 0.481375 avg loss, 0.000010 rate, 0.902789 seconds, 608768 images, 0.350701 hours left\n", + "Loaded: 1.442882 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790441, GIOU: 0.785566), Class: 0.999211, Obj: 0.719037, No Obj: 0.002580, .5R: 1.000000, .75R: 0.745763, count: 59, class_loss = 0.569324, iou_loss = 0.326855, total_loss = 0.896179 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.000000, GIOU: 0.000000), Class: 0.000000, Obj: 0.000000, No Obj: 0.000026, .5R: 0.000000, .75R: 0.000000, count: 1, class_loss = 0.001783, iou_loss = 0.000000, total_loss = 0.001783 \n", + " total_bbox = 1055613, rewritten_bbox = 2.669160 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786270, GIOU: 0.779041), Class: 0.999504, Obj: 0.706418, No Obj: 0.001875, .5R: 0.972973, .75R: 0.648649, count: 37, class_loss = 0.291404, iou_loss = 0.228736, total_loss = 0.520139 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733406, GIOU: 0.715955), Class: 0.999616, Obj: 0.744192, No Obj: 0.000099, .5R: 1.000000, .75R: 0.333333, count: 9, class_loss = 0.098858, iou_loss = 0.072638, total_loss = 0.171497 \n", + " total_bbox = 1055659, rewritten_bbox = 2.669233 % \n", + "\n", + " 9513: 0.397399, 0.472978 avg loss, 0.000010 rate, 0.869166 seconds, 608832 images, 0.350452 hours left\n", + "Loaded: 1.684300 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777954, GIOU: 0.772740), Class: 0.998805, Obj: 0.586181, No Obj: 0.002583, .5R: 0.981818, .75R: 0.690909, count: 55, class_loss = 0.703926, iou_loss = 0.437358, total_loss = 1.141284 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.852856, GIOU: 0.849421), Class: 0.999977, Obj: 0.859260, No Obj: 0.000094, .5R: 1.000000, .75R: 0.888889, count: 9, class_loss = 0.031222, iou_loss = 0.018992, total_loss = 0.050215 \n", + " total_bbox = 1055723, rewritten_bbox = 2.669261 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774749, GIOU: 0.766149), Class: 0.999171, Obj: 0.665168, No Obj: 0.002301, .5R: 0.962963, .75R: 0.703704, count: 54, class_loss = 0.496629, iou_loss = 0.419249, total_loss = 0.915878 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.717197, GIOU: 0.691826), Class: 0.965148, Obj: 0.250454, No Obj: 0.000039, .5R: 1.000000, .75R: 0.333333, count: 3, class_loss = 0.101316, iou_loss = 0.076903, total_loss = 0.178219 \n", + " total_bbox = 1055780, rewritten_bbox = 2.669306 % \n", + "\n", + " 9514: 0.571399, 0.482820 avg loss, 0.000010 rate, 0.787426 seconds, 608896 images, 0.350075 hours left\n", + "Loaded: 1.817418 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806269, GIOU: 0.802523), Class: 0.999126, Obj: 0.621538, No Obj: 0.002067, .5R: 1.000000, .75R: 0.716981, count: 53, class_loss = 0.554200, iou_loss = 0.288645, total_loss = 0.842845 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.624219, GIOU: 0.597697), Class: 0.980347, Obj: 0.367358, No Obj: 0.000062, .5R: 0.777778, .75R: 0.111111, count: 9, class_loss = 0.169101, iou_loss = 0.106032, total_loss = 0.275133 \n", + " total_bbox = 1055842, rewritten_bbox = 2.669339 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771431, GIOU: 0.761779), Class: 0.998902, Obj: 0.600841, No Obj: 0.001830, .5R: 1.000000, .75R: 0.583333, count: 48, class_loss = 0.669392, iou_loss = 0.389343, total_loss = 1.058734 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.707080, GIOU: 0.691341), Class: 0.990958, Obj: 0.217379, No Obj: 0.000054, .5R: 0.800000, .75R: 0.400000, count: 5, class_loss = 0.140425, iou_loss = 0.067640, total_loss = 0.208065 \n", + " total_bbox = 1055895, rewritten_bbox = 2.669205 % \n", + "\n", + " 9515: 0.596195, 0.494157 avg loss, 0.000010 rate, 1.010962 seconds, 608960 images, 0.349911 hours left\n", + "Loaded: 1.660575 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778455, GIOU: 0.771202), Class: 0.999597, Obj: 0.653761, No Obj: 0.002049, .5R: 1.000000, .75R: 0.653846, count: 52, class_loss = 0.579528, iou_loss = 0.330238, total_loss = 0.909766 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786329, GIOU: 0.779700), Class: 0.997448, Obj: 0.587964, No Obj: 0.000122, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.162365, iou_loss = 0.066566, total_loss = 0.228932 \n", + " total_bbox = 1055961, rewritten_bbox = 2.669322 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789092, GIOU: 0.780368), Class: 0.998905, Obj: 0.696107, No Obj: 0.002317, .5R: 1.000000, .75R: 0.755102, count: 49, class_loss = 0.500844, iou_loss = 0.279374, total_loss = 0.780219 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.565448, GIOU: 0.440641), Class: 0.975421, Obj: 0.089864, No Obj: 0.000029, .5R: 0.750000, .75R: 0.250000, count: 4, class_loss = 0.115495, iou_loss = 0.034031, total_loss = 0.149526 \n", + " total_bbox = 1056014, rewritten_bbox = 2.669283 % \n", + "\n", + " 9516: 0.517111, 0.496453 avg loss, 0.000010 rate, 0.871487 seconds, 609024 images, 0.350222 hours left\n", + "Loaded: 1.694534 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783654, GIOU: 0.777389), Class: 0.999424, Obj: 0.669393, No Obj: 0.001514, .5R: 1.000000, .75R: 0.729730, count: 37, class_loss = 0.367228, iou_loss = 0.249946, total_loss = 0.617174 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769499, GIOU: 0.762286), Class: 0.999671, Obj: 0.561675, No Obj: 0.000091, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.117427, iou_loss = 0.048949, total_loss = 0.166376 \n", + " total_bbox = 1056060, rewritten_bbox = 2.669261 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780551, GIOU: 0.773564), Class: 0.999304, Obj: 0.673248, No Obj: 0.001897, .5R: 1.000000, .75R: 0.608696, count: 46, class_loss = 0.464377, iou_loss = 0.261870, total_loss = 0.726247 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.824694, GIOU: 0.814391), Class: 0.998096, Obj: 0.634610, No Obj: 0.000064, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.047888, iou_loss = 0.024905, total_loss = 0.072793 \n", + " total_bbox = 1056111, rewritten_bbox = 2.669322 % \n", + "\n", + " 9517: 0.395647, 0.486372 avg loss, 0.000010 rate, 0.942511 seconds, 609088 images, 0.350124 hours left\n", + "Loaded: 1.499502 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770938, GIOU: 0.761694), Class: 0.997389, Obj: 0.557779, No Obj: 0.001977, .5R: 1.000000, .75R: 0.632653, count: 49, class_loss = 0.696433, iou_loss = 0.383072, total_loss = 1.079505 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696087, GIOU: 0.689788), Class: 0.999612, Obj: 0.466566, No Obj: 0.000038, .5R: 1.000000, .75R: 0.333333, count: 3, class_loss = 0.045602, iou_loss = 0.031241, total_loss = 0.076843 \n", + " total_bbox = 1056163, rewritten_bbox = 2.669569 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778539, GIOU: 0.770378), Class: 0.998745, Obj: 0.558104, No Obj: 0.001697, .5R: 1.000000, .75R: 0.619048, count: 42, class_loss = 0.575082, iou_loss = 0.459880, total_loss = 1.034962 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.724340, GIOU: 0.713628), Class: 0.989364, Obj: 0.346705, No Obj: 0.000070, .5R: 0.875000, .75R: 0.500000, count: 8, class_loss = 0.152051, iou_loss = 0.082722, total_loss = 0.234774 \n", + " total_bbox = 1056213, rewritten_bbox = 2.669537 % \n", + "\n", + " 9518: 0.606521, 0.498387 avg loss, 0.000010 rate, 0.821645 seconds, 609152 images, 0.350166 hours left\n", + "Loaded: 1.542724 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800776, GIOU: 0.797167), Class: 0.999382, Obj: 0.718883, No Obj: 0.002221, .5R: 0.979167, .75R: 0.791667, count: 48, class_loss = 0.378652, iou_loss = 0.251982, total_loss = 0.630634 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.830950, GIOU: 0.827045), Class: 0.999867, Obj: 0.702974, No Obj: 0.000057, .5R: 1.000000, .75R: 1.000000, count: 4, class_loss = 0.023352, iou_loss = 0.012430, total_loss = 0.035782 \n", + " total_bbox = 1056265, rewritten_bbox = 2.669690 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797365, GIOU: 0.785497), Class: 0.999487, Obj: 0.734374, No Obj: 0.002192, .5R: 0.962264, .75R: 0.830189, count: 53, class_loss = 0.419433, iou_loss = 0.396534, total_loss = 0.815968 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.593043, GIOU: 0.537686), Class: 0.971344, Obj: 0.291826, No Obj: 0.000069, .5R: 0.625000, .75R: 0.375000, count: 8, class_loss = 0.179612, iou_loss = 0.114253, total_loss = 0.293865 \n", + " total_bbox = 1056326, rewritten_bbox = 2.669725 % \n", + "\n", + " 9519: 0.444062, 0.492955 avg loss, 0.000010 rate, 0.931140 seconds, 609216 images, 0.349783 hours left\n", + "Loaded: 2.078465 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789487, GIOU: 0.783183), Class: 0.999241, Obj: 0.558877, No Obj: 0.002119, .5R: 0.980392, .75R: 0.686275, count: 51, class_loss = 0.669347, iou_loss = 0.326604, total_loss = 0.995951 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.000000, GIOU: -0.464534), Class: 0.959312, Obj: 0.000502, No Obj: 0.000020, .5R: 0.000000, .75R: 0.000000, count: 1, class_loss = 0.036601, iou_loss = 0.046339, total_loss = 0.082940 \n", + " total_bbox = 1056378, rewritten_bbox = 2.669688 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772960, GIOU: 0.764621), Class: 0.998367, Obj: 0.581356, No Obj: 0.002073, .5R: 0.978261, .75R: 0.630435, count: 46, class_loss = 0.640237, iou_loss = 0.374888, total_loss = 1.015125 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752228, GIOU: 0.733594), Class: 0.999132, Obj: 0.436569, No Obj: 0.000058, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.097493, iou_loss = 0.029454, total_loss = 0.126947 \n", + " total_bbox = 1056428, rewritten_bbox = 2.669562 % \n", + "\n", + " 9520: 0.555241, 0.499183 avg loss, 0.000010 rate, 0.696002 seconds, 609280 images, 0.349591 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000045 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.824192, GIOU: 0.819172), Class: 0.999637, Obj: 0.787808, No Obj: 0.002719, .5R: 1.000000, .75R: 0.812500, count: 32, class_loss = 0.200333, iou_loss = 0.131170, total_loss = 0.331503 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719213, GIOU: 0.689960), Class: 0.997579, Obj: 0.430158, No Obj: 0.000304, .5R: 0.894737, .75R: 0.473684, count: 19, class_loss = 0.290991, iou_loss = 0.253763, total_loss = 0.544755 \n", + " total_bbox = 1056479, rewritten_bbox = 2.669528 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777462, GIOU: 0.770066), Class: 0.999493, Obj: 0.672700, No Obj: 0.003260, .5R: 1.000000, .75R: 0.648649, count: 37, class_loss = 0.391628, iou_loss = 0.233410, total_loss = 0.625038 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769749, GIOU: 0.755491), Class: 0.990301, Obj: 0.486613, No Obj: 0.000226, .5R: 0.909091, .75R: 0.818182, count: 11, class_loss = 0.167597, iou_loss = 0.066522, total_loss = 0.234119 \n", + " total_bbox = 1056527, rewritten_bbox = 2.669406 % \n", + "\n", + " 9521: 0.433854, 0.492650 avg loss, 0.000010 rate, 0.335646 seconds, 609344 images, 0.349794 hours left\n", + "Loaded: 1.637748 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804305, GIOU: 0.795564), Class: 0.999582, Obj: 0.750229, No Obj: 0.003063, .5R: 1.000000, .75R: 0.729730, count: 37, class_loss = 0.286293, iou_loss = 0.150816, total_loss = 0.437109 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733583, GIOU: 0.716466), Class: 0.998653, Obj: 0.368245, No Obj: 0.000324, .5R: 0.941176, .75R: 0.470588, count: 17, class_loss = 0.333842, iou_loss = 0.166443, total_loss = 0.500285 \n", + " total_bbox = 1056581, rewritten_bbox = 2.669270 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785087, GIOU: 0.772874), Class: 0.999340, Obj: 0.676125, No Obj: 0.003513, .5R: 1.000000, .75R: 0.702703, count: 37, class_loss = 0.326607, iou_loss = 0.177951, total_loss = 0.504558 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776011, GIOU: 0.768028), Class: 0.999601, Obj: 0.713226, No Obj: 0.000264, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.081190, iou_loss = 0.068387, total_loss = 0.149577 \n", + " total_bbox = 1056628, rewritten_bbox = 2.669151 % \n", + "\n", + " 9522: 0.397882, 0.483173 avg loss, 0.000010 rate, 0.391754 seconds, 609408 images, 0.346743 hours left\n", + "Loaded: 1.626920 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764655, GIOU: 0.757344), Class: 0.999443, Obj: 0.715339, No Obj: 0.002482, .5R: 1.000000, .75R: 0.566667, count: 30, class_loss = 0.250064, iou_loss = 0.147172, total_loss = 0.397237 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769745, GIOU: 0.761661), Class: 0.999063, Obj: 0.545981, No Obj: 0.000434, .5R: 1.000000, .75R: 0.523810, count: 21, class_loss = 0.220448, iou_loss = 0.110862, total_loss = 0.331309 \n", + " total_bbox = 1056679, rewritten_bbox = 2.669212 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774274, GIOU: 0.766551), Class: 0.999655, Obj: 0.774586, No Obj: 0.002764, .5R: 1.000000, .75R: 0.685714, count: 35, class_loss = 0.189673, iou_loss = 0.208305, total_loss = 0.397978 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.705741, GIOU: 0.675597), Class: 0.998055, Obj: 0.584319, No Obj: 0.000359, .5R: 0.947368, .75R: 0.473684, count: 19, class_loss = 0.237432, iou_loss = 0.236559, total_loss = 0.473991 \n", + " total_bbox = 1056733, rewritten_bbox = 2.669075 % \n", + "\n", + " 9523: 0.400129, 0.474869 avg loss, 0.000010 rate, 0.344397 seconds, 609472 images, 0.345971 hours left\n", + "Loaded: 1.569592 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.752637, GIOU: 0.743344), Class: 0.999134, Obj: 0.643661, No Obj: 0.002604, .5R: 0.947368, .75R: 0.605263, count: 38, class_loss = 0.378686, iou_loss = 0.254099, total_loss = 0.632785 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788818, GIOU: 0.773585), Class: 0.997302, Obj: 0.643957, No Obj: 0.000535, .5R: 0.954545, .75R: 0.681818, count: 22, class_loss = 0.300181, iou_loss = 0.129325, total_loss = 0.429506 \n", + " total_bbox = 1056793, rewritten_bbox = 2.669019 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796681, GIOU: 0.789458), Class: 0.999619, Obj: 0.724583, No Obj: 0.003097, .5R: 0.941176, .75R: 0.794118, count: 34, class_loss = 0.353289, iou_loss = 0.148881, total_loss = 0.502171 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740090, GIOU: 0.717827), Class: 0.991100, Obj: 0.563818, No Obj: 0.000451, .5R: 0.904762, .75R: 0.666667, count: 21, class_loss = 0.268981, iou_loss = 0.165816, total_loss = 0.434798 \n", + " total_bbox = 1056848, rewritten_bbox = 2.668880 % \n", + "\n", + " 9524: 0.499815, 0.477363 avg loss, 0.000010 rate, 0.321759 seconds, 609536 images, 0.345123 hours left\n", + "Loaded: 1.800914 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763319, GIOU: 0.753402), Class: 0.999564, Obj: 0.677472, No Obj: 0.002593, .5R: 0.966667, .75R: 0.633333, count: 30, class_loss = 0.297904, iou_loss = 0.231284, total_loss = 0.529188 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767443, GIOU: 0.759101), Class: 0.998457, Obj: 0.684109, No Obj: 0.000690, .5R: 0.928571, .75R: 0.607143, count: 28, class_loss = 0.288239, iou_loss = 0.173117, total_loss = 0.461356 \n", + " total_bbox = 1056906, rewritten_bbox = 2.669111 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770411, GIOU: 0.763618), Class: 0.999681, Obj: 0.648821, No Obj: 0.002686, .5R: 0.941176, .75R: 0.705882, count: 34, class_loss = 0.326163, iou_loss = 0.216538, total_loss = 0.542701 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781723, GIOU: 0.773402), Class: 0.998047, Obj: 0.626395, No Obj: 0.000443, .5R: 1.000000, .75R: 0.708333, count: 24, class_loss = 0.234796, iou_loss = 0.135183, total_loss = 0.369979 \n", + " total_bbox = 1056964, rewritten_bbox = 2.668965 % \n", + "\n", + " 9525: 0.475806, 0.477208 avg loss, 0.000010 rate, 0.386316 seconds, 609600 images, 0.344172 hours left\n", + "Loaded: 1.700503 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774070, GIOU: 0.766083), Class: 0.999341, Obj: 0.738162, No Obj: 0.003784, .5R: 0.979592, .75R: 0.612245, count: 49, class_loss = 0.331319, iou_loss = 0.251389, total_loss = 0.582708 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797309, GIOU: 0.788428), Class: 0.999016, Obj: 0.631821, No Obj: 0.000474, .5R: 1.000000, .75R: 0.809524, count: 21, class_loss = 0.231642, iou_loss = 0.090057, total_loss = 0.321699 \n", + " total_bbox = 1057034, rewritten_bbox = 2.669072 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804778, GIOU: 0.797945), Class: 0.999509, Obj: 0.692322, No Obj: 0.003544, .5R: 1.000000, .75R: 0.756757, count: 37, class_loss = 0.331381, iou_loss = 0.148707, total_loss = 0.480088 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769355, GIOU: 0.763018), Class: 0.999407, Obj: 0.683813, No Obj: 0.000497, .5R: 1.000000, .75R: 0.684211, count: 19, class_loss = 0.241520, iou_loss = 0.116637, total_loss = 0.358157 \n", + " total_bbox = 1057090, rewritten_bbox = 2.669025 % \n", + "\n", + " 9526: 0.435663, 0.473053 avg loss, 0.000010 rate, 0.408237 seconds, 609664 images, 0.343624 hours left\n", + "Loaded: 1.736735 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781433, GIOU: 0.773920), Class: 0.999439, Obj: 0.698876, No Obj: 0.003938, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.387836, iou_loss = 0.177791, total_loss = 0.565627 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733825, GIOU: 0.710475), Class: 0.997643, Obj: 0.397407, No Obj: 0.000350, .5R: 0.833333, .75R: 0.611111, count: 18, class_loss = 0.333827, iou_loss = 0.191322, total_loss = 0.525149 \n", + " total_bbox = 1057150, rewritten_bbox = 2.668874 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811001, GIOU: 0.804675), Class: 0.999624, Obj: 0.715662, No Obj: 0.002949, .5R: 1.000000, .75R: 0.724138, count: 29, class_loss = 0.227302, iou_loss = 0.107298, total_loss = 0.334601 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807573, GIOU: 0.801302), Class: 0.998067, Obj: 0.622192, No Obj: 0.000529, .5R: 1.000000, .75R: 0.703704, count: 27, class_loss = 0.264577, iou_loss = 0.125795, total_loss = 0.390372 \n", + " total_bbox = 1057206, rewritten_bbox = 2.668827 % \n", + "\n", + " 9527: 0.453937, 0.471142 avg loss, 0.000010 rate, 0.363171 seconds, 609728 images, 0.342967 hours left\n", + "Loaded: 1.708816 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.818599, GIOU: 0.813768), Class: 0.999352, Obj: 0.729591, No Obj: 0.003252, .5R: 1.000000, .75R: 0.894737, count: 38, class_loss = 0.232009, iou_loss = 0.122129, total_loss = 0.354138 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791654, GIOU: 0.782987), Class: 0.992174, Obj: 0.532063, No Obj: 0.000413, .5R: 0.950000, .75R: 0.850000, count: 20, class_loss = 0.251253, iou_loss = 0.111737, total_loss = 0.362990 \n", + " total_bbox = 1057264, rewritten_bbox = 2.668870 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783791, GIOU: 0.775921), Class: 0.999816, Obj: 0.677795, No Obj: 0.002150, .5R: 1.000000, .75R: 0.772727, count: 22, class_loss = 0.196325, iou_loss = 0.108267, total_loss = 0.304592 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803285, GIOU: 0.796443), Class: 0.999489, Obj: 0.759358, No Obj: 0.000650, .5R: 1.000000, .75R: 0.793103, count: 29, class_loss = 0.210500, iou_loss = 0.116999, total_loss = 0.327499 \n", + " total_bbox = 1057315, rewritten_bbox = 2.668836 % \n", + "\n", + " 9528: 0.337305, 0.457758 avg loss, 0.000010 rate, 0.359495 seconds, 609792 images, 0.342296 hours left\n", + "Loaded: 1.891906 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766109, GIOU: 0.757853), Class: 0.999574, Obj: 0.649057, No Obj: 0.002819, .5R: 0.942857, .75R: 0.657143, count: 35, class_loss = 0.339423, iou_loss = 0.197252, total_loss = 0.536675 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714986, GIOU: 0.699341), Class: 0.997072, Obj: 0.492065, No Obj: 0.000447, .5R: 0.961538, .75R: 0.384615, count: 26, class_loss = 0.362136, iou_loss = 0.239673, total_loss = 0.601809 \n", + " total_bbox = 1057376, rewritten_bbox = 2.668965 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.746863, GIOU: 0.739271), Class: 0.998951, Obj: 0.641714, No Obj: 0.002674, .5R: 1.000000, .75R: 0.454545, count: 33, class_loss = 0.396858, iou_loss = 0.232519, total_loss = 0.629377 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742904, GIOU: 0.725084), Class: 0.996349, Obj: 0.577083, No Obj: 0.000456, .5R: 0.920000, .75R: 0.640000, count: 25, class_loss = 0.292774, iou_loss = 0.208778, total_loss = 0.501553 \n", + " total_bbox = 1057434, rewritten_bbox = 2.668914 % \n", + "\n", + " 9529: 0.567353, 0.468717 avg loss, 0.000010 rate, 0.337998 seconds, 609856 images, 0.341585 hours left\n", + "Loaded: 1.794838 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796618, GIOU: 0.791013), Class: 0.999338, Obj: 0.748949, No Obj: 0.003544, .5R: 1.000000, .75R: 0.744186, count: 43, class_loss = 0.322318, iou_loss = 0.169883, total_loss = 0.492200 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756693, GIOU: 0.748662), Class: 0.998761, Obj: 0.541977, No Obj: 0.000290, .5R: 0.944444, .75R: 0.555556, count: 18, class_loss = 0.239627, iou_loss = 0.129836, total_loss = 0.369464 \n", + " total_bbox = 1057495, rewritten_bbox = 2.668949 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817448, GIOU: 0.812525), Class: 0.999519, Obj: 0.610819, No Obj: 0.004256, .5R: 1.000000, .75R: 0.773585, count: 53, class_loss = 0.571510, iou_loss = 0.205176, total_loss = 0.776686 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801671, GIOU: 0.795688), Class: 0.999038, Obj: 0.648003, No Obj: 0.000541, .5R: 1.000000, .75R: 0.761905, count: 21, class_loss = 0.293849, iou_loss = 0.082317, total_loss = 0.376167 \n", + " total_bbox = 1057569, rewritten_bbox = 2.668857 % \n", + "\n", + " 9530: 0.503629, 0.472209 avg loss, 0.000010 rate, 0.335896 seconds, 609920 images, 0.341087 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.820432 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788022, GIOU: 0.780294), Class: 0.999467, Obj: 0.632282, No Obj: 0.002240, .5R: 1.000000, .75R: 0.696970, count: 33, class_loss = 0.310829, iou_loss = 0.191866, total_loss = 0.502695 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782161, GIOU: 0.775011), Class: 0.999239, Obj: 0.664537, No Obj: 0.000499, .5R: 1.000000, .75R: 0.625000, count: 24, class_loss = 0.237761, iou_loss = 0.139306, total_loss = 0.377067 \n", + " total_bbox = 1057626, rewritten_bbox = 2.668807 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798375, GIOU: 0.792842), Class: 0.999746, Obj: 0.816795, No Obj: 0.002779, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.184978, iou_loss = 0.133388, total_loss = 0.318366 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788656, GIOU: 0.780116), Class: 0.999456, Obj: 0.608143, No Obj: 0.000589, .5R: 1.000000, .75R: 0.692308, count: 26, class_loss = 0.269274, iou_loss = 0.127985, total_loss = 0.397260 \n", + " total_bbox = 1057684, rewritten_bbox = 2.668756 % \n", + "\n", + " 9531: 0.398847, 0.464873 avg loss, 0.000010 rate, 0.437938 seconds, 609984 images, 0.340458 hours left\n", + "Loaded: 1.553237 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808205, GIOU: 0.803598), Class: 0.999765, Obj: 0.816490, No Obj: 0.002833, .5R: 1.000000, .75R: 0.709677, count: 31, class_loss = 0.167902, iou_loss = 0.117805, total_loss = 0.285707 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777920, GIOU: 0.773270), Class: 0.999148, Obj: 0.693727, No Obj: 0.000536, .5R: 1.000000, .75R: 0.590909, count: 22, class_loss = 0.198124, iou_loss = 0.160370, total_loss = 0.358493 \n", + " total_bbox = 1057737, rewritten_bbox = 2.668716 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.822363, GIOU: 0.815355), Class: 0.999615, Obj: 0.763348, No Obj: 0.003170, .5R: 1.000000, .75R: 0.742857, count: 35, class_loss = 0.227059, iou_loss = 0.140133, total_loss = 0.367192 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.789222, GIOU: 0.774870), Class: 0.999475, Obj: 0.356895, No Obj: 0.000198, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.160802, iou_loss = 0.046751, total_loss = 0.207554 \n", + " total_bbox = 1057781, rewritten_bbox = 2.668700 % \n", + "\n", + " 9532: 0.304736, 0.448859 avg loss, 0.000010 rate, 0.334288 seconds, 610048 images, 0.339995 hours left\n", + "Loaded: 1.784296 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770114, GIOU: 0.761946), Class: 0.999391, Obj: 0.634641, No Obj: 0.002885, .5R: 1.000000, .75R: 0.636364, count: 44, class_loss = 0.447495, iou_loss = 0.245185, total_loss = 0.692680 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791586, GIOU: 0.784950), Class: 0.999479, Obj: 0.423646, No Obj: 0.000244, .5R: 1.000000, .75R: 0.812500, count: 16, class_loss = 0.254111, iou_loss = 0.103896, total_loss = 0.358006 \n", + " total_bbox = 1057841, rewritten_bbox = 2.669021 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812573, GIOU: 0.807131), Class: 0.999750, Obj: 0.773026, No Obj: 0.002964, .5R: 0.969697, .75R: 0.787879, count: 33, class_loss = 0.242468, iou_loss = 0.137337, total_loss = 0.379805 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.745667, GIOU: 0.732183), Class: 0.998135, Obj: 0.536522, No Obj: 0.000605, .5R: 1.000000, .75R: 0.363636, count: 33, class_loss = 0.418941, iou_loss = 0.225801, total_loss = 0.644742 \n", + " total_bbox = 1057907, rewritten_bbox = 2.668949 % \n", + "\n", + " 9533: 0.518808, 0.455854 avg loss, 0.000010 rate, 0.373790 seconds, 610112 images, 0.339055 hours left\n", + "Loaded: 1.591789 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788256, GIOU: 0.780382), Class: 0.999081, Obj: 0.692513, No Obj: 0.002888, .5R: 0.967742, .75R: 0.774194, count: 31, class_loss = 0.280198, iou_loss = 0.155879, total_loss = 0.436077 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792799, GIOU: 0.790275), Class: 0.999607, Obj: 0.726696, No Obj: 0.000361, .5R: 1.000000, .75R: 0.750000, count: 16, class_loss = 0.147835, iou_loss = 0.072371, total_loss = 0.220206 \n", + " total_bbox = 1057954, rewritten_bbox = 2.668925 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807113, GIOU: 0.799878), Class: 0.999877, Obj: 0.777251, No Obj: 0.002091, .5R: 1.000000, .75R: 0.809524, count: 21, class_loss = 0.182877, iou_loss = 0.088125, total_loss = 0.271002 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746316, GIOU: 0.732824), Class: 0.998843, Obj: 0.486498, No Obj: 0.000386, .5R: 1.000000, .75R: 0.500000, count: 22, class_loss = 0.281793, iou_loss = 0.138634, total_loss = 0.420427 \n", + " total_bbox = 1057997, rewritten_bbox = 2.668817 % \n", + "\n", + " 9534: 0.336928, 0.443961 avg loss, 0.000010 rate, 0.353935 seconds, 610176 images, 0.338464 hours left\n", + "Loaded: 1.597069 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810390, GIOU: 0.806419), Class: 0.999418, Obj: 0.747332, No Obj: 0.003021, .5R: 0.968750, .75R: 0.812500, count: 32, class_loss = 0.242557, iou_loss = 0.098674, total_loss = 0.341231 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714034, GIOU: 0.701207), Class: 0.998043, Obj: 0.603563, No Obj: 0.000374, .5R: 0.952381, .75R: 0.380952, count: 21, class_loss = 0.300434, iou_loss = 0.188434, total_loss = 0.488867 \n", + " total_bbox = 1058050, rewritten_bbox = 2.668777 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771080, GIOU: 0.760366), Class: 0.999321, Obj: 0.588212, No Obj: 0.003377, .5R: 0.977778, .75R: 0.600000, count: 45, class_loss = 0.593818, iou_loss = 0.314371, total_loss = 0.908190 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754255, GIOU: 0.733191), Class: 0.996869, Obj: 0.516763, No Obj: 0.000363, .5R: 0.947368, .75R: 0.684211, count: 19, class_loss = 0.313578, iou_loss = 0.159591, total_loss = 0.473169 \n", + " total_bbox = 1058114, rewritten_bbox = 2.668805 % \n", + "\n", + " 9535: 0.552864, 0.454852 avg loss, 0.000010 rate, 0.359640 seconds, 610240 images, 0.337598 hours left\n", + "Loaded: 1.870105 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791532, GIOU: 0.782824), Class: 0.999087, Obj: 0.740982, No Obj: 0.002666, .5R: 1.000000, .75R: 0.727273, count: 33, class_loss = 0.256069, iou_loss = 0.180752, total_loss = 0.436821 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.702923, GIOU: 0.681477), Class: 0.996938, Obj: 0.470115, No Obj: 0.000318, .5R: 0.850000, .75R: 0.550000, count: 20, class_loss = 0.306189, iou_loss = 0.311437, total_loss = 0.617626 \n", + " total_bbox = 1058167, rewritten_bbox = 2.668766 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762425, GIOU: 0.754375), Class: 0.999723, Obj: 0.745155, No Obj: 0.002504, .5R: 1.000000, .75R: 0.606061, count: 33, class_loss = 0.203851, iou_loss = 0.182087, total_loss = 0.385937 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753801, GIOU: 0.745525), Class: 0.999333, Obj: 0.600830, No Obj: 0.000613, .5R: 1.000000, .75R: 0.517241, count: 29, class_loss = 0.366465, iou_loss = 0.184609, total_loss = 0.551074 \n", + " total_bbox = 1058229, rewritten_bbox = 2.668798 % \n", + "\n", + " 9536: 0.497864, 0.459153 avg loss, 0.000010 rate, 0.348810 seconds, 610304 images, 0.336756 hours left\n", + "Loaded: 1.549816 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805746, GIOU: 0.793156), Class: 0.999672, Obj: 0.714104, No Obj: 0.002906, .5R: 0.937500, .75R: 0.843750, count: 32, class_loss = 0.285105, iou_loss = 0.154854, total_loss = 0.439959 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.812344, GIOU: 0.807337), Class: 0.999383, Obj: 0.655797, No Obj: 0.000563, .5R: 1.000000, .75R: 0.791667, count: 24, class_loss = 0.173706, iou_loss = 0.111561, total_loss = 0.285268 \n", + " total_bbox = 1058285, rewritten_bbox = 2.668752 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811393, GIOU: 0.804296), Class: 0.999533, Obj: 0.690148, No Obj: 0.003236, .5R: 1.000000, .75R: 0.781250, count: 32, class_loss = 0.276925, iou_loss = 0.136665, total_loss = 0.413590 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809108, GIOU: 0.803877), Class: 0.999288, Obj: 0.619573, No Obj: 0.000328, .5R: 1.000000, .75R: 0.687500, count: 16, class_loss = 0.141099, iou_loss = 0.063694, total_loss = 0.204793 \n", + " total_bbox = 1058333, rewritten_bbox = 2.668725 % \n", + "\n", + " 9537: 0.335902, 0.446828 avg loss, 0.000010 rate, 0.335730 seconds, 610368 images, 0.336257 hours left\n", + "Loaded: 1.893508 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780549, GIOU: 0.773404), Class: 0.999644, Obj: 0.673626, No Obj: 0.002652, .5R: 1.000000, .75R: 0.666667, count: 30, class_loss = 0.286150, iou_loss = 0.173093, total_loss = 0.459243 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784800, GIOU: 0.775808), Class: 0.997534, Obj: 0.719521, No Obj: 0.000632, .5R: 1.000000, .75R: 0.742857, count: 35, class_loss = 0.207525, iou_loss = 0.164152, total_loss = 0.371677 \n", + " total_bbox = 1058398, rewritten_bbox = 2.668845 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767631, GIOU: 0.755676), Class: 0.999750, Obj: 0.797543, No Obj: 0.002838, .5R: 0.966667, .75R: 0.633333, count: 30, class_loss = 0.219778, iou_loss = 0.223925, total_loss = 0.443703 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754796, GIOU: 0.744374), Class: 0.999099, Obj: 0.569986, No Obj: 0.000636, .5R: 1.000000, .75R: 0.500000, count: 28, class_loss = 0.426562, iou_loss = 0.182149, total_loss = 0.608712 \n", + " total_bbox = 1058456, rewritten_bbox = 2.668699 % \n", + "\n", + " 9538: 0.470834, 0.449228 avg loss, 0.000010 rate, 0.392064 seconds, 610432 images, 0.335320 hours left\n", + "Loaded: 1.679999 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808411, GIOU: 0.802944), Class: 0.999755, Obj: 0.713440, No Obj: 0.002496, .5R: 1.000000, .75R: 0.818182, count: 22, class_loss = 0.250492, iou_loss = 0.081794, total_loss = 0.332286 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783161, GIOU: 0.777673), Class: 0.999779, Obj: 0.709433, No Obj: 0.000415, .5R: 1.000000, .75R: 0.772727, count: 22, class_loss = 0.188679, iou_loss = 0.106645, total_loss = 0.295325 \n", + " total_bbox = 1058500, rewritten_bbox = 2.668682 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.749375, GIOU: 0.740693), Class: 0.999577, Obj: 0.667661, No Obj: 0.002684, .5R: 1.000000, .75R: 0.527778, count: 36, class_loss = 0.321896, iou_loss = 0.253029, total_loss = 0.574925 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763186, GIOU: 0.752515), Class: 0.995490, Obj: 0.654649, No Obj: 0.000406, .5R: 1.000000, .75R: 0.625000, count: 16, class_loss = 0.180893, iou_loss = 0.109827, total_loss = 0.290720 \n", + " total_bbox = 1058552, rewritten_bbox = 2.668740 % \n", + "\n", + " 9539: 0.373314, 0.441637 avg loss, 0.000010 rate, 0.354386 seconds, 610496 images, 0.334900 hours left\n", + "Loaded: 2.007966 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793495, GIOU: 0.786940), Class: 0.999620, Obj: 0.722064, No Obj: 0.003822, .5R: 1.000000, .75R: 0.729167, count: 48, class_loss = 0.351175, iou_loss = 0.244311, total_loss = 0.595485 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775076, GIOU: 0.769228), Class: 0.998940, Obj: 0.596953, No Obj: 0.000227, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.090090, iou_loss = 0.028421, total_loss = 0.118511 \n", + " total_bbox = 1058606, rewritten_bbox = 2.668793 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781893, GIOU: 0.774938), Class: 0.999130, Obj: 0.741586, No Obj: 0.003089, .5R: 0.970588, .75R: 0.735294, count: 34, class_loss = 0.219219, iou_loss = 0.160002, total_loss = 0.379221 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759348, GIOU: 0.752276), Class: 0.998766, Obj: 0.550509, No Obj: 0.000512, .5R: 0.954545, .75R: 0.681818, count: 22, class_loss = 0.305089, iou_loss = 0.164350, total_loss = 0.469439 \n", + " total_bbox = 1058662, rewritten_bbox = 2.668746 % \n", + "\n", + " 9540: 0.390664, 0.436540 avg loss, 0.000010 rate, 0.454603 seconds, 610560 images, 0.334156 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.839683 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780456, GIOU: 0.776507), Class: 0.999825, Obj: 0.786404, No Obj: 0.003597, .5R: 1.000000, .75R: 0.625000, count: 32, class_loss = 0.209111, iou_loss = 0.163021, total_loss = 0.372132 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759162, GIOU: 0.748742), Class: 0.999379, Obj: 0.597138, No Obj: 0.000941, .5R: 0.914286, .75R: 0.685714, count: 35, class_loss = 0.452594, iou_loss = 0.257301, total_loss = 0.709895 \n", + " total_bbox = 1058729, rewritten_bbox = 2.668766 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760254, GIOU: 0.752443), Class: 0.999827, Obj: 0.693585, No Obj: 0.002329, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.204935, iou_loss = 0.103053, total_loss = 0.307989 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719990, GIOU: 0.683981), Class: 0.994803, Obj: 0.515768, No Obj: 0.000944, .5R: 0.923077, .75R: 0.589744, count: 39, class_loss = 0.478355, iou_loss = 0.593237, total_loss = 1.071592 \n", + " total_bbox = 1058788, rewritten_bbox = 2.668712 % \n", + "\n", + " 9541: 0.615402, 0.454426 avg loss, 0.000010 rate, 0.310246 seconds, 610624 images, 0.333961 hours left\n", + "Loaded: 1.706357 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800707, GIOU: 0.795126), Class: 0.999280, Obj: 0.587379, No Obj: 0.002903, .5R: 1.000000, .75R: 0.740741, count: 27, class_loss = 0.373401, iou_loss = 0.105507, total_loss = 0.478908 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778567, GIOU: 0.768459), Class: 0.999205, Obj: 0.584952, No Obj: 0.000647, .5R: 1.000000, .75R: 0.681818, count: 22, class_loss = 0.281850, iou_loss = 0.115981, total_loss = 0.397831 \n", + " total_bbox = 1058837, rewritten_bbox = 2.668683 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757871, GIOU: 0.748098), Class: 0.999774, Obj: 0.727844, No Obj: 0.003133, .5R: 1.000000, .75R: 0.692308, count: 26, class_loss = 0.238847, iou_loss = 0.194239, total_loss = 0.433087 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744705, GIOU: 0.732101), Class: 0.996363, Obj: 0.475479, No Obj: 0.000798, .5R: 1.000000, .75R: 0.500000, count: 34, class_loss = 0.502174, iou_loss = 0.231188, total_loss = 0.733362 \n", + " total_bbox = 1058897, rewritten_bbox = 2.668720 % \n", + "\n", + " 9542: 0.510797, 0.460063 avg loss, 0.000010 rate, 0.246986 seconds, 610688 images, 0.333363 hours left\n", + "Loaded: 1.725153 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782429, GIOU: 0.772006), Class: 0.999403, Obj: 0.713566, No Obj: 0.003355, .5R: 0.937500, .75R: 0.750000, count: 32, class_loss = 0.250597, iou_loss = 0.164044, total_loss = 0.414642 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.798984, GIOU: 0.791647), Class: 0.999437, Obj: 0.610765, No Obj: 0.000751, .5R: 1.000000, .75R: 0.777778, count: 27, class_loss = 0.318484, iou_loss = 0.139051, total_loss = 0.457535 \n", + " total_bbox = 1058956, rewritten_bbox = 2.668761 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.816613, GIOU: 0.810602), Class: 0.999411, Obj: 0.716653, No Obj: 0.002505, .5R: 1.000000, .75R: 0.809524, count: 21, class_loss = 0.244642, iou_loss = 0.064247, total_loss = 0.308889 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761974, GIOU: 0.752676), Class: 0.998699, Obj: 0.560863, No Obj: 0.000929, .5R: 0.971429, .75R: 0.657143, count: 35, class_loss = 0.436542, iou_loss = 0.218140, total_loss = 0.654682 \n", + " total_bbox = 1059012, rewritten_bbox = 2.668997 % \n", + "\n", + " 9543: 0.458937, 0.459950 avg loss, 0.000010 rate, 0.337392 seconds, 610752 images, 0.332515 hours left\n", + "Loaded: 1.856474 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772144, GIOU: 0.762440), Class: 0.999308, Obj: 0.624253, No Obj: 0.003174, .5R: 1.000000, .75R: 0.593750, count: 32, class_loss = 0.328237, iou_loss = 0.173841, total_loss = 0.502078 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716630, GIOU: 0.702699), Class: 0.995735, Obj: 0.344005, No Obj: 0.000404, .5R: 0.882353, .75R: 0.411765, count: 17, class_loss = 0.338170, iou_loss = 0.148814, total_loss = 0.486984 \n", + " total_bbox = 1059061, rewritten_bbox = 2.668968 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794497, GIOU: 0.782226), Class: 0.999577, Obj: 0.642766, No Obj: 0.002540, .5R: 1.000000, .75R: 0.640000, count: 25, class_loss = 0.251298, iou_loss = 0.116508, total_loss = 0.367805 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754436, GIOU: 0.743994), Class: 0.997065, Obj: 0.528633, No Obj: 0.000919, .5R: 0.974359, .75R: 0.564103, count: 39, class_loss = 0.503992, iou_loss = 0.242660, total_loss = 0.746651 \n", + " total_bbox = 1059125, rewritten_bbox = 2.668807 % \n", + "\n", + " 9544: 0.525880, 0.466543 avg loss, 0.000010 rate, 0.292133 seconds, 610816 images, 0.331808 hours left\n", + "Loaded: 1.814362 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804166, GIOU: 0.795203), Class: 0.999780, Obj: 0.645631, No Obj: 0.003202, .5R: 1.000000, .75R: 0.703704, count: 27, class_loss = 0.271300, iou_loss = 0.113309, total_loss = 0.384609 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767913, GIOU: 0.759888), Class: 0.998049, Obj: 0.574735, No Obj: 0.000912, .5R: 1.000000, .75R: 0.636364, count: 33, class_loss = 0.439376, iou_loss = 0.228423, total_loss = 0.667799 \n", + " total_bbox = 1059185, rewritten_bbox = 2.668750 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779074, GIOU: 0.768512), Class: 0.999359, Obj: 0.572071, No Obj: 0.002820, .5R: 1.000000, .75R: 0.652174, count: 23, class_loss = 0.299043, iou_loss = 0.161581, total_loss = 0.460624 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778974, GIOU: 0.769836), Class: 0.998848, Obj: 0.629018, No Obj: 0.000521, .5R: 1.000000, .75R: 0.722222, count: 18, class_loss = 0.203206, iou_loss = 0.096809, total_loss = 0.300014 \n", + " total_bbox = 1059226, rewritten_bbox = 2.668647 % \n", + "\n", + " 9545: 0.453262, 0.465215 avg loss, 0.000010 rate, 0.299466 seconds, 610880 images, 0.331216 hours left\n", + "Loaded: 1.858318 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773774, GIOU: 0.767700), Class: 0.999302, Obj: 0.682340, No Obj: 0.003292, .5R: 1.000000, .75R: 0.705882, count: 34, class_loss = 0.247889, iou_loss = 0.159161, total_loss = 0.407050 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755583, GIOU: 0.743264), Class: 0.999230, Obj: 0.591030, No Obj: 0.000586, .5R: 1.000000, .75R: 0.583333, count: 24, class_loss = 0.310899, iou_loss = 0.136329, total_loss = 0.447228 \n", + " total_bbox = 1059284, rewritten_bbox = 2.668595 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760633, GIOU: 0.752238), Class: 0.999760, Obj: 0.639341, No Obj: 0.002880, .5R: 1.000000, .75R: 0.608696, count: 23, class_loss = 0.284250, iou_loss = 0.125388, total_loss = 0.409638 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751043, GIOU: 0.738425), Class: 0.995393, Obj: 0.539140, No Obj: 0.000557, .5R: 0.954545, .75R: 0.545455, count: 22, class_loss = 0.254056, iou_loss = 0.200433, total_loss = 0.454488 \n", + " total_bbox = 1059329, rewritten_bbox = 2.668482 % \n", + "\n", + " 9546: 0.429601, 0.461654 avg loss, 0.000010 rate, 0.249531 seconds, 610944 images, 0.330576 hours left\n", + "Loaded: 1.448698 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790236, GIOU: 0.782981), Class: 0.999794, Obj: 0.662506, No Obj: 0.003759, .5R: 1.000000, .75R: 0.702703, count: 37, class_loss = 0.387577, iou_loss = 0.152090, total_loss = 0.539667 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.718518, GIOU: 0.687618), Class: 0.991972, Obj: 0.510534, No Obj: 0.000794, .5R: 0.933333, .75R: 0.433333, count: 30, class_loss = 0.449817, iou_loss = 0.400830, total_loss = 0.850647 \n", + " total_bbox = 1059396, rewritten_bbox = 2.668502 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809768, GIOU: 0.803083), Class: 0.999652, Obj: 0.759214, No Obj: 0.003529, .5R: 1.000000, .75R: 0.793103, count: 29, class_loss = 0.206133, iou_loss = 0.129259, total_loss = 0.335392 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786611, GIOU: 0.777931), Class: 0.999221, Obj: 0.617676, No Obj: 0.000985, .5R: 1.000000, .75R: 0.729730, count: 37, class_loss = 0.418860, iou_loss = 0.183367, total_loss = 0.602226 \n", + " total_bbox = 1059462, rewritten_bbox = 2.668619 % \n", + "\n", + " 9547: 0.581983, 0.473687 avg loss, 0.000010 rate, 0.315878 seconds, 611008 images, 0.329930 hours left\n", + "Loaded: 1.512997 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790109, GIOU: 0.784849), Class: 0.999589, Obj: 0.626392, No Obj: 0.002987, .5R: 1.000000, .75R: 0.678571, count: 28, class_loss = 0.322340, iou_loss = 0.128585, total_loss = 0.450925 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760265, GIOU: 0.749707), Class: 0.998789, Obj: 0.535205, No Obj: 0.000813, .5R: 1.000000, .75R: 0.548387, count: 31, class_loss = 0.405120, iou_loss = 0.183123, total_loss = 0.588244 \n", + " total_bbox = 1059521, rewritten_bbox = 2.668564 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789574, GIOU: 0.778558), Class: 0.999838, Obj: 0.721142, No Obj: 0.002618, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.180082, iou_loss = 0.119416, total_loss = 0.299498 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763982, GIOU: 0.754924), Class: 0.998098, Obj: 0.507081, No Obj: 0.000715, .5R: 0.962963, .75R: 0.592593, count: 27, class_loss = 0.440852, iou_loss = 0.160802, total_loss = 0.601654 \n", + " total_bbox = 1059571, rewritten_bbox = 2.668438 % \n", + "\n", + " 9548: 0.485080, 0.474826 avg loss, 0.000010 rate, 0.311989 seconds, 611072 images, 0.328851 hours left\n", + "Loaded: 1.596052 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801716, GIOU: 0.794073), Class: 0.999687, Obj: 0.812466, No Obj: 0.003511, .5R: 1.000000, .75R: 0.700000, count: 30, class_loss = 0.238190, iou_loss = 0.122041, total_loss = 0.360231 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740767, GIOU: 0.725670), Class: 0.997987, Obj: 0.549280, No Obj: 0.000747, .5R: 0.965517, .75R: 0.482759, count: 29, class_loss = 0.364540, iou_loss = 0.193382, total_loss = 0.557922 \n", + " total_bbox = 1059630, rewritten_bbox = 2.668384 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.747825, GIOU: 0.737433), Class: 0.999425, Obj: 0.609093, No Obj: 0.002818, .5R: 0.964286, .75R: 0.571429, count: 28, class_loss = 0.309155, iou_loss = 0.229290, total_loss = 0.538445 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772716, GIOU: 0.761559), Class: 0.993122, Obj: 0.667988, No Obj: 0.000684, .5R: 0.952381, .75R: 0.761905, count: 21, class_loss = 0.241040, iou_loss = 0.126366, total_loss = 0.367406 \n", + " total_bbox = 1059679, rewritten_bbox = 2.668261 % \n", + "\n", + " 9549: 0.456001, 0.472944 avg loss, 0.000010 rate, 0.250089 seconds, 611136 images, 0.327854 hours left\n", + "Loaded: 2.316678 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.758924, GIOU: 0.748246), Class: 0.999471, Obj: 0.598185, No Obj: 0.003109, .5R: 0.965517, .75R: 0.586207, count: 29, class_loss = 0.336976, iou_loss = 0.176155, total_loss = 0.513131 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750819, GIOU: 0.742757), Class: 0.999220, Obj: 0.513642, No Obj: 0.000746, .5R: 1.000000, .75R: 0.555556, count: 27, class_loss = 0.387044, iou_loss = 0.198665, total_loss = 0.585709 \n", + " total_bbox = 1059735, rewritten_bbox = 2.668308 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778041, GIOU: 0.767883), Class: 0.999705, Obj: 0.728323, No Obj: 0.003853, .5R: 1.000000, .75R: 0.656250, count: 32, class_loss = 0.265156, iou_loss = 0.137810, total_loss = 0.402966 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763616, GIOU: 0.753486), Class: 0.997687, Obj: 0.576579, No Obj: 0.000591, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.240865, iou_loss = 0.126785, total_loss = 0.367651 \n", + " total_bbox = 1059787, rewritten_bbox = 2.668178 % \n", + "\n", + " 9550: 0.467364, 0.472386 avg loss, 0.000010 rate, 0.306581 seconds, 611200 images, 0.326889 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 576 x 576 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000077 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762387, GIOU: 0.752753), Class: 0.996601, Obj: 0.554369, No Obj: 0.001862, .5R: 0.976744, .75R: 0.604651, count: 43, class_loss = 0.619642, iou_loss = 0.332070, total_loss = 0.951712 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.798369, GIOU: 0.790478), Class: 0.999734, Obj: 0.697819, No Obj: 0.000115, .5R: 1.000000, .75R: 0.888889, count: 9, class_loss = 0.118024, iou_loss = 0.037545, total_loss = 0.155570 \n", + " total_bbox = 1059839, rewritten_bbox = 2.668330 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795531, GIOU: 0.789231), Class: 0.999713, Obj: 0.714045, No Obj: 0.001608, .5R: 1.000000, .75R: 0.741935, count: 31, class_loss = 0.324736, iou_loss = 0.136982, total_loss = 0.461719 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.723241, GIOU: 0.707625), Class: 0.997788, Obj: 0.428616, No Obj: 0.000101, .5R: 1.000000, .75R: 0.272727, count: 11, class_loss = 0.173506, iou_loss = 0.085129, total_loss = 0.258635 \n", + " total_bbox = 1059881, rewritten_bbox = 2.668224 % \n", + "\n", + " 9551: 0.456909, 0.470838 avg loss, 0.000010 rate, 0.776541 seconds, 611264 images, 0.326903 hours left\n", + "Loaded: 1.647349 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765055, GIOU: 0.756458), Class: 0.999192, Obj: 0.576743, No Obj: 0.002297, .5R: 0.979592, .75R: 0.612245, count: 49, class_loss = 0.644779, iou_loss = 0.353394, total_loss = 0.998173 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792326, GIOU: 0.782939), Class: 0.999423, Obj: 0.569853, No Obj: 0.000080, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.071653, iou_loss = 0.016022, total_loss = 0.087676 \n", + " total_bbox = 1059934, rewritten_bbox = 2.668091 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771730, GIOU: 0.762334), Class: 0.998494, Obj: 0.562660, No Obj: 0.002315, .5R: 0.982143, .75R: 0.589286, count: 56, class_loss = 0.755150, iou_loss = 0.415023, total_loss = 1.170173 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768983, GIOU: 0.764498), Class: 0.999907, Obj: 0.701134, No Obj: 0.000076, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.054090, iou_loss = 0.028528, total_loss = 0.082618 \n", + " total_bbox = 1059994, rewritten_bbox = 2.668034 % \n", + "\n", + " 9552: 0.584660, 0.482220 avg loss, 0.000010 rate, 0.711573 seconds, 611328 images, 0.324603 hours left\n", + "Loaded: 1.581766 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792710, GIOU: 0.778989), Class: 0.999652, Obj: 0.692139, No Obj: 0.002073, .5R: 0.953488, .75R: 0.744186, count: 43, class_loss = 0.494363, iou_loss = 0.311018, total_loss = 0.805381 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781421, GIOU: 0.777340), Class: 0.999091, Obj: 0.594769, No Obj: 0.000089, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.083197, iou_loss = 0.066694, total_loss = 0.149891 \n", + " total_bbox = 1060044, rewritten_bbox = 2.668002 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787692, GIOU: 0.779159), Class: 0.999436, Obj: 0.716152, No Obj: 0.002306, .5R: 1.000000, .75R: 0.644444, count: 45, class_loss = 0.458091, iou_loss = 0.261226, total_loss = 0.719316 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788479, GIOU: 0.779755), Class: 0.999950, Obj: 0.864982, No Obj: 0.000081, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.020172, iou_loss = 0.030727, total_loss = 0.050898 \n", + " total_bbox = 1060094, rewritten_bbox = 2.668065 % \n", + "\n", + " 9553: 0.431372, 0.477135 avg loss, 0.000010 rate, 0.826278 seconds, 611392 images, 0.324292 hours left\n", + "Loaded: 1.898203 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779181, GIOU: 0.771215), Class: 0.999312, Obj: 0.684346, No Obj: 0.002372, .5R: 0.979592, .75R: 0.673469, count: 49, class_loss = 0.418357, iou_loss = 0.370535, total_loss = 0.788892 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779402, GIOU: 0.773512), Class: 0.998390, Obj: 0.564065, No Obj: 0.000165, .5R: 1.000000, .75R: 0.733333, count: 15, class_loss = 0.189783, iou_loss = 0.068602, total_loss = 0.258385 \n", + " total_bbox = 1060158, rewritten_bbox = 2.667999 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815579, GIOU: 0.811105), Class: 0.999516, Obj: 0.742184, No Obj: 0.002523, .5R: 1.000000, .75R: 0.811321, count: 53, class_loss = 0.468647, iou_loss = 0.211066, total_loss = 0.679713 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758722, GIOU: 0.752230), Class: 0.999240, Obj: 0.654753, No Obj: 0.000112, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.084810, iou_loss = 0.037957, total_loss = 0.122768 \n", + " total_bbox = 1060215, rewritten_bbox = 2.667949 % \n", + "\n", + " 9554: 0.462439, 0.475666 avg loss, 0.000010 rate, 0.824192 seconds, 611456 images, 0.324039 hours left\n", + "Loaded: 1.736124 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755437, GIOU: 0.743815), Class: 0.998737, Obj: 0.636813, No Obj: 0.001868, .5R: 0.975610, .75R: 0.585366, count: 41, class_loss = 0.500532, iou_loss = 0.402185, total_loss = 0.902717 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.818697, GIOU: 0.816141), Class: 0.999784, Obj: 0.947178, No Obj: 0.000154, .5R: 1.000000, .75R: 0.900000, count: 10, class_loss = 0.076187, iou_loss = 0.045198, total_loss = 0.121385 \n", + " total_bbox = 1060266, rewritten_bbox = 2.667915 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804591, GIOU: 0.799992), Class: 0.999731, Obj: 0.777285, No Obj: 0.002300, .5R: 1.000000, .75R: 0.772727, count: 44, class_loss = 0.376476, iou_loss = 0.190742, total_loss = 0.567218 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713267, GIOU: 0.707275), Class: 0.997475, Obj: 0.545911, No Obj: 0.000195, .5R: 0.857143, .75R: 0.500000, count: 14, class_loss = 0.260766, iou_loss = 0.151962, total_loss = 0.412728 \n", + " total_bbox = 1060324, rewritten_bbox = 2.667864 % \n", + "\n", + " 9555: 0.501012, 0.478200 avg loss, 0.000010 rate, 0.779837 seconds, 611520 images, 0.324172 hours left\n", + "Loaded: 1.950689 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799114, GIOU: 0.792705), Class: 0.999534, Obj: 0.787070, No Obj: 0.002574, .5R: 0.980769, .75R: 0.846154, count: 52, class_loss = 0.290744, iou_loss = 0.270835, total_loss = 0.561578 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784033, GIOU: 0.777565), Class: 0.999421, Obj: 0.656616, No Obj: 0.000138, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.153531, iou_loss = 0.058320, total_loss = 0.211851 \n", + " total_bbox = 1060390, rewritten_bbox = 2.668075 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814416, GIOU: 0.808016), Class: 0.997762, Obj: 0.643900, No Obj: 0.001961, .5R: 1.000000, .75R: 0.815789, count: 38, class_loss = 0.432311, iou_loss = 0.200809, total_loss = 0.633120 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765152, GIOU: 0.754260), Class: 0.999621, Obj: 0.583330, No Obj: 0.000086, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.105297, iou_loss = 0.077142, total_loss = 0.182439 \n", + " total_bbox = 1060439, rewritten_bbox = 2.668140 % \n", + "\n", + " 9556: 0.397247, 0.470105 avg loss, 0.000010 rate, 0.833239 seconds, 611584 images, 0.324040 hours left\n", + "Loaded: 1.727472 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785340, GIOU: 0.779185), Class: 0.999089, Obj: 0.629331, No Obj: 0.001972, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.545831, iou_loss = 0.304474, total_loss = 0.850305 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735371, GIOU: 0.724399), Class: 0.994299, Obj: 0.435197, No Obj: 0.000097, .5R: 0.916667, .75R: 0.750000, count: 12, class_loss = 0.208052, iou_loss = 0.075362, total_loss = 0.283414 \n", + " total_bbox = 1060495, rewritten_bbox = 2.668188 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786680, GIOU: 0.781494), Class: 0.999292, Obj: 0.608013, No Obj: 0.002041, .5R: 1.000000, .75R: 0.675000, count: 40, class_loss = 0.517154, iou_loss = 0.217337, total_loss = 0.734491 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.709799, GIOU: 0.697344), Class: 0.998546, Obj: 0.317543, No Obj: 0.000078, .5R: 1.000000, .75R: 0.285714, count: 7, class_loss = 0.161571, iou_loss = 0.085497, total_loss = 0.247068 \n", + " total_bbox = 1060542, rewritten_bbox = 2.668070 % \n", + "\n", + " 9557: 0.528820, 0.475976 avg loss, 0.000010 rate, 0.903764 seconds, 611648 images, 0.324235 hours left\n", + "Loaded: 1.756709 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761745, GIOU: 0.751536), Class: 0.998938, Obj: 0.591176, No Obj: 0.002414, .5R: 0.962264, .75R: 0.660377, count: 53, class_loss = 0.686338, iou_loss = 0.428613, total_loss = 1.114951 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.561068, GIOU: 0.513029), Class: 0.996146, Obj: 0.186736, No Obj: 0.000019, .5R: 0.500000, .75R: 0.250000, count: 4, class_loss = 0.096699, iou_loss = 0.100792, total_loss = 0.197491 \n", + " total_bbox = 1060599, rewritten_bbox = 2.667926 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788717, GIOU: 0.780569), Class: 0.999607, Obj: 0.706492, No Obj: 0.002461, .5R: 0.979167, .75R: 0.770833, count: 48, class_loss = 0.448570, iou_loss = 0.331494, total_loss = 0.780064 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764034, GIOU: 0.756436), Class: 0.999645, Obj: 0.517679, No Obj: 0.000091, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.124153, iou_loss = 0.063823, total_loss = 0.187976 \n", + " total_bbox = 1060655, rewritten_bbox = 2.668068 % \n", + "\n", + " 9558: 0.570120, 0.485391 avg loss, 0.000010 rate, 0.826570 seconds, 611712 images, 0.324235 hours left\n", + "Loaded: 2.185911 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782446, GIOU: 0.774926), Class: 0.999271, Obj: 0.712923, No Obj: 0.002206, .5R: 0.960000, .75R: 0.680000, count: 50, class_loss = 0.398914, iou_loss = 0.279151, total_loss = 0.678065 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.640213, GIOU: 0.593184), Class: 0.979682, Obj: 0.494999, No Obj: 0.000134, .5R: 0.666667, .75R: 0.500000, count: 12, class_loss = 0.205180, iou_loss = 0.196429, total_loss = 0.401608 \n", + " total_bbox = 1060717, rewritten_bbox = 2.668007 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770847, GIOU: 0.762725), Class: 0.999426, Obj: 0.687428, No Obj: 0.002394, .5R: 0.980392, .75R: 0.588235, count: 51, class_loss = 0.547592, iou_loss = 0.307452, total_loss = 0.855044 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773001, GIOU: 0.764067), Class: 0.999720, Obj: 0.731069, No Obj: 0.000067, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.043865, iou_loss = 0.047322, total_loss = 0.091187 \n", + " total_bbox = 1060775, rewritten_bbox = 2.667861 % \n", + "\n", + " 9559: 0.506476, 0.487499 avg loss, 0.000010 rate, 0.812542 seconds, 611776 images, 0.324164 hours left\n", + "Loaded: 1.614026 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783389, GIOU: 0.773190), Class: 0.999244, Obj: 0.618503, No Obj: 0.002393, .5R: 0.960000, .75R: 0.700000, count: 50, class_loss = 0.603794, iou_loss = 0.348335, total_loss = 0.952129 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742421, GIOU: 0.723112), Class: 0.998488, Obj: 0.465669, No Obj: 0.000086, .5R: 0.875000, .75R: 0.750000, count: 8, class_loss = 0.137357, iou_loss = 0.078063, total_loss = 0.215420 \n", + " total_bbox = 1060833, rewritten_bbox = 2.667715 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784638, GIOU: 0.778634), Class: 0.999124, Obj: 0.567217, No Obj: 0.001999, .5R: 1.000000, .75R: 0.675676, count: 37, class_loss = 0.537291, iou_loss = 0.228631, total_loss = 0.765922 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807091, GIOU: 0.799376), Class: 0.999625, Obj: 0.656867, No Obj: 0.000111, .5R: 1.000000, .75R: 0.888889, count: 9, class_loss = 0.095010, iou_loss = 0.037168, total_loss = 0.132178 \n", + " total_bbox = 1060879, rewritten_bbox = 2.667599 % \n", + "\n", + " 9560: 0.516412, 0.490391 avg loss, 0.000010 rate, 0.815693 seconds, 611840 images, 0.324596 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000039 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771871, GIOU: 0.762656), Class: 0.999556, Obj: 0.630513, No Obj: 0.002502, .5R: 1.000000, .75R: 0.653846, count: 26, class_loss = 0.262442, iou_loss = 0.133239, total_loss = 0.395681 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809128, GIOU: 0.804760), Class: 0.999082, Obj: 0.719267, No Obj: 0.000753, .5R: 1.000000, .75R: 0.760000, count: 25, class_loss = 0.216398, iou_loss = 0.114669, total_loss = 0.331066 \n", + " total_bbox = 1060930, rewritten_bbox = 2.667565 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802712, GIOU: 0.798001), Class: 0.999658, Obj: 0.790843, No Obj: 0.003962, .5R: 1.000000, .75R: 0.758621, count: 29, class_loss = 0.135557, iou_loss = 0.116106, total_loss = 0.251663 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783304, GIOU: 0.778394), Class: 0.999066, Obj: 0.577255, No Obj: 0.000606, .5R: 0.954545, .75R: 0.727273, count: 22, class_loss = 0.304646, iou_loss = 0.131798, total_loss = 0.436445 \n", + " total_bbox = 1060981, rewritten_bbox = 2.667437 % \n", + "\n", + " 9561: 0.353714, 0.476723 avg loss, 0.000010 rate, 0.287668 seconds, 611904 images, 0.324320 hours left\n", + "Loaded: 1.474748 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762395, GIOU: 0.747638), Class: 0.999644, Obj: 0.563441, No Obj: 0.003509, .5R: 0.916667, .75R: 0.638889, count: 36, class_loss = 0.451614, iou_loss = 0.343969, total_loss = 0.795583 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788129, GIOU: 0.779139), Class: 0.999140, Obj: 0.758222, No Obj: 0.000933, .5R: 1.000000, .75R: 0.700000, count: 30, class_loss = 0.223843, iou_loss = 0.140007, total_loss = 0.363850 \n", + " total_bbox = 1061047, rewritten_bbox = 2.667459 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792099, GIOU: 0.783794), Class: 0.999663, Obj: 0.644089, No Obj: 0.003526, .5R: 1.000000, .75R: 0.703704, count: 27, class_loss = 0.338074, iou_loss = 0.127649, total_loss = 0.465723 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779692, GIOU: 0.770570), Class: 0.999014, Obj: 0.694376, No Obj: 0.000835, .5R: 0.965517, .75R: 0.758621, count: 29, class_loss = 0.242928, iou_loss = 0.152532, total_loss = 0.395459 \n", + " total_bbox = 1061103, rewritten_bbox = 2.667319 % \n", + "\n", + " 9562: 0.505154, 0.479566 avg loss, 0.000010 rate, 0.236762 seconds, 611968 images, 0.321427 hours left\n", + "Loaded: 1.999773 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789086, GIOU: 0.777332), Class: 0.999646, Obj: 0.621304, No Obj: 0.003292, .5R: 1.000000, .75R: 0.741935, count: 31, class_loss = 0.294916, iou_loss = 0.142571, total_loss = 0.437488 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725617, GIOU: 0.708991), Class: 0.991573, Obj: 0.659047, No Obj: 0.000630, .5R: 0.900000, .75R: 0.650000, count: 20, class_loss = 0.217899, iou_loss = 0.192257, total_loss = 0.410156 \n", + " total_bbox = 1061154, rewritten_bbox = 2.667379 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791008, GIOU: 0.783272), Class: 0.999740, Obj: 0.639438, No Obj: 0.002596, .5R: 1.000000, .75R: 0.666667, count: 21, class_loss = 0.248254, iou_loss = 0.076700, total_loss = 0.324954 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725055, GIOU: 0.711860), Class: 0.999654, Obj: 0.581718, No Obj: 0.000809, .5R: 0.933333, .75R: 0.533333, count: 30, class_loss = 0.336388, iou_loss = 0.272729, total_loss = 0.609117 \n", + " total_bbox = 1061205, rewritten_bbox = 2.667345 % \n", + "\n", + " 9563: 0.445428, 0.476152 avg loss, 0.000010 rate, 0.301305 seconds, 612032 images, 0.320295 hours left\n", + "Loaded: 1.764646 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.734784, GIOU: 0.725009), Class: 0.999398, Obj: 0.587528, No Obj: 0.002533, .5R: 0.960000, .75R: 0.440000, count: 25, class_loss = 0.311930, iou_loss = 0.207523, total_loss = 0.519453 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780664, GIOU: 0.774055), Class: 0.999063, Obj: 0.613877, No Obj: 0.000721, .5R: 1.000000, .75R: 0.730769, count: 26, class_loss = 0.308072, iou_loss = 0.136946, total_loss = 0.445018 \n", + " total_bbox = 1061256, rewritten_bbox = 2.667311 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776357, GIOU: 0.769722), Class: 0.999264, Obj: 0.640315, No Obj: 0.003815, .5R: 1.000000, .75R: 0.684211, count: 38, class_loss = 0.379676, iou_loss = 0.183330, total_loss = 0.563006 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.745519, GIOU: 0.736757), Class: 0.998926, Obj: 0.578382, No Obj: 0.000633, .5R: 1.000000, .75R: 0.583333, count: 24, class_loss = 0.308388, iou_loss = 0.172982, total_loss = 0.481370 \n", + " total_bbox = 1061318, rewritten_bbox = 2.667344 % \n", + "\n", + " 9564: 0.502212, 0.478758 avg loss, 0.000010 rate, 0.292272 seconds, 612096 images, 0.319890 hours left\n", + "Loaded: 1.765378 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.819463, GIOU: 0.814953), Class: 0.999834, Obj: 0.735615, No Obj: 0.002985, .5R: 1.000000, .75R: 0.772727, count: 22, class_loss = 0.201428, iou_loss = 0.073661, total_loss = 0.275088 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738870, GIOU: 0.721936), Class: 0.996251, Obj: 0.541585, No Obj: 0.000667, .5R: 0.937500, .75R: 0.562500, count: 32, class_loss = 0.413372, iou_loss = 0.264597, total_loss = 0.677969 \n", + " total_bbox = 1061372, rewritten_bbox = 2.667397 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.728089, GIOU: 0.705387), Class: 0.998392, Obj: 0.511259, No Obj: 0.002028, .5R: 0.944444, .75R: 0.611111, count: 18, class_loss = 0.274740, iou_loss = 0.206399, total_loss = 0.481139 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.708902, GIOU: 0.688756), Class: 0.998960, Obj: 0.535525, No Obj: 0.000580, .5R: 0.880000, .75R: 0.520000, count: 25, class_loss = 0.328745, iou_loss = 0.262057, total_loss = 0.590802 \n", + " total_bbox = 1061415, rewritten_bbox = 2.667383 % \n", + "\n", + " 9565: 0.506250, 0.481507 avg loss, 0.000010 rate, 0.277964 seconds, 612160 images, 0.319183 hours left\n", + "Loaded: 1.616876 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812184, GIOU: 0.806406), Class: 0.999721, Obj: 0.817903, No Obj: 0.003897, .5R: 1.000000, .75R: 0.733333, count: 30, class_loss = 0.132846, iou_loss = 0.102035, total_loss = 0.234880 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757921, GIOU: 0.749783), Class: 0.998926, Obj: 0.610604, No Obj: 0.000678, .5R: 1.000000, .75R: 0.538462, count: 26, class_loss = 0.268271, iou_loss = 0.151729, total_loss = 0.420000 \n", + " total_bbox = 1061471, rewritten_bbox = 2.667242 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.756551, GIOU: 0.747182), Class: 0.999756, Obj: 0.793148, No Obj: 0.003600, .5R: 1.000000, .75R: 0.481481, count: 27, class_loss = 0.215792, iou_loss = 0.160557, total_loss = 0.376349 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.787195, GIOU: 0.779316), Class: 0.998862, Obj: 0.648129, No Obj: 0.001022, .5R: 0.939394, .75R: 0.757576, count: 33, class_loss = 0.324346, iou_loss = 0.232517, total_loss = 0.556863 \n", + " total_bbox = 1061531, rewritten_bbox = 2.667185 % \n", + "\n", + " 9566: 0.397023, 0.473059 avg loss, 0.000010 rate, 0.305893 seconds, 612224 images, 0.318460 hours left\n", + "Loaded: 1.941185 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.720563, GIOU: 0.704899), Class: 0.999757, Obj: 0.642979, No Obj: 0.002436, .5R: 0.954545, .75R: 0.409091, count: 22, class_loss = 0.275008, iou_loss = 0.174703, total_loss = 0.449711 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754408, GIOU: 0.730394), Class: 0.990045, Obj: 0.561657, No Obj: 0.000646, .5R: 0.961538, .75R: 0.576923, count: 26, class_loss = 0.339227, iou_loss = 0.151689, total_loss = 0.490916 \n", + " total_bbox = 1061579, rewritten_bbox = 2.667065 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762444, GIOU: 0.750222), Class: 0.999480, Obj: 0.696945, No Obj: 0.002774, .5R: 1.000000, .75R: 0.576923, count: 26, class_loss = 0.291804, iou_loss = 0.177234, total_loss = 0.469038 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758255, GIOU: 0.747855), Class: 0.996814, Obj: 0.619046, No Obj: 0.000810, .5R: 1.000000, .75R: 0.571429, count: 35, class_loss = 0.426503, iou_loss = 0.250034, total_loss = 0.676537 \n", + " total_bbox = 1061640, rewritten_bbox = 2.667194 % \n", + "\n", + " 9567: 0.521550, 0.477908 avg loss, 0.000010 rate, 0.266288 seconds, 612288 images, 0.317594 hours left\n", + "Loaded: 1.906149 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792088, GIOU: 0.785693), Class: 0.999937, Obj: 0.778374, No Obj: 0.002607, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.171126, iou_loss = 0.079208, total_loss = 0.250334 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720669, GIOU: 0.706054), Class: 0.999255, Obj: 0.526194, No Obj: 0.000754, .5R: 0.931035, .75R: 0.482759, count: 29, class_loss = 0.455365, iou_loss = 0.285856, total_loss = 0.741221 \n", + " total_bbox = 1061689, rewritten_bbox = 2.667259 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761313, GIOU: 0.754594), Class: 0.999691, Obj: 0.710023, No Obj: 0.003292, .5R: 0.967742, .75R: 0.645161, count: 31, class_loss = 0.240963, iou_loss = 0.162396, total_loss = 0.403359 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.724386, GIOU: 0.710381), Class: 0.997126, Obj: 0.527887, No Obj: 0.000701, .5R: 0.913043, .75R: 0.608696, count: 23, class_loss = 0.280107, iou_loss = 0.194565, total_loss = 0.474672 \n", + " total_bbox = 1061743, rewritten_bbox = 2.667218 % \n", + "\n", + " 9568: 0.467396, 0.476857 avg loss, 0.000010 rate, 0.251324 seconds, 612352 images, 0.317073 hours left\n", + "Loaded: 1.978421 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767817, GIOU: 0.757543), Class: 0.999850, Obj: 0.720350, No Obj: 0.002861, .5R: 1.000000, .75R: 0.615385, count: 26, class_loss = 0.229445, iou_loss = 0.135946, total_loss = 0.365391 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.630925, GIOU: 0.593519), Class: 0.986065, Obj: 0.371612, No Obj: 0.000478, .5R: 0.782609, .75R: 0.347826, count: 23, class_loss = 0.464823, iou_loss = 0.277420, total_loss = 0.742243 \n", + " total_bbox = 1061792, rewritten_bbox = 2.667095 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780232, GIOU: 0.773468), Class: 0.999810, Obj: 0.697771, No Obj: 0.002380, .5R: 1.000000, .75R: 0.571429, count: 21, class_loss = 0.156682, iou_loss = 0.105740, total_loss = 0.262422 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755172, GIOU: 0.742261), Class: 0.999524, Obj: 0.627298, No Obj: 0.000633, .5R: 1.000000, .75R: 0.652174, count: 23, class_loss = 0.202827, iou_loss = 0.151433, total_loss = 0.354260 \n", + " total_bbox = 1061836, rewritten_bbox = 2.666984 % \n", + "\n", + " 9569: 0.431079, 0.472279 avg loss, 0.000010 rate, 0.246763 seconds, 612416 images, 0.316491 hours left\n", + "Loaded: 1.804628 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.750681, GIOU: 0.740803), Class: 0.999714, Obj: 0.652404, No Obj: 0.003322, .5R: 0.966667, .75R: 0.633333, count: 30, class_loss = 0.243697, iou_loss = 0.189961, total_loss = 0.433658 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719140, GIOU: 0.698699), Class: 0.999501, Obj: 0.473504, No Obj: 0.000374, .5R: 0.937500, .75R: 0.562500, count: 16, class_loss = 0.235124, iou_loss = 0.186348, total_loss = 0.421473 \n", + " total_bbox = 1061882, rewritten_bbox = 2.667057 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.743811, GIOU: 0.734851), Class: 0.999704, Obj: 0.629763, No Obj: 0.003188, .5R: 1.000000, .75R: 0.483871, count: 31, class_loss = 0.306270, iou_loss = 0.187316, total_loss = 0.493586 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774902, GIOU: 0.768415), Class: 0.998037, Obj: 0.674398, No Obj: 0.000838, .5R: 1.000000, .75R: 0.677419, count: 31, class_loss = 0.272744, iou_loss = 0.186916, total_loss = 0.459659 \n", + " total_bbox = 1061944, rewritten_bbox = 2.666996 % \n", + "\n", + " 9570: 0.452094, 0.470261 avg loss, 0.000010 rate, 0.300927 seconds, 612480 images, 0.316001 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000039 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798452, GIOU: 0.793218), Class: 0.999463, Obj: 0.646508, No Obj: 0.003243, .5R: 1.000000, .75R: 0.735849, count: 53, class_loss = 0.615328, iou_loss = 0.303377, total_loss = 0.918705 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.828999, GIOU: 0.824103), Class: 0.998759, Obj: 0.479300, No Obj: 0.000139, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.124981, iou_loss = 0.024812, total_loss = 0.149792 \n", + " total_bbox = 1062004, rewritten_bbox = 2.666939 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780909, GIOU: 0.774744), Class: 0.999466, Obj: 0.694688, No Obj: 0.003079, .5R: 1.000000, .75R: 0.660377, count: 53, class_loss = 0.422488, iou_loss = 0.367303, total_loss = 0.789791 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.821520, GIOU: 0.816923), Class: 0.997870, Obj: 0.678457, No Obj: 0.000216, .5R: 1.000000, .75R: 1.000000, count: 11, class_loss = 0.147176, iou_loss = 0.032637, total_loss = 0.179813 \n", + " total_bbox = 1062068, rewritten_bbox = 2.666873 % \n", + "\n", + " 9571: 0.509525, 0.474187 avg loss, 0.000010 rate, 0.623429 seconds, 612544 images, 0.315356 hours left\n", + "Loaded: 1.547364 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784968, GIOU: 0.778355), Class: 0.999596, Obj: 0.647764, No Obj: 0.002325, .5R: 1.000000, .75R: 0.619048, count: 42, class_loss = 0.462066, iou_loss = 0.214114, total_loss = 0.676180 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761553, GIOU: 0.747779), Class: 0.999626, Obj: 0.675405, No Obj: 0.000193, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.155585, iou_loss = 0.074344, total_loss = 0.229929 \n", + " total_bbox = 1062121, rewritten_bbox = 2.666739 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808455, GIOU: 0.804120), Class: 0.999545, Obj: 0.759917, No Obj: 0.002749, .5R: 1.000000, .75R: 0.785714, count: 42, class_loss = 0.294649, iou_loss = 0.215962, total_loss = 0.510611 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739684, GIOU: 0.726410), Class: 0.998944, Obj: 0.653580, No Obj: 0.000214, .5R: 1.000000, .75R: 0.555556, count: 18, class_loss = 0.191941, iou_loss = 0.134282, total_loss = 0.326224 \n", + " total_bbox = 1062181, rewritten_bbox = 2.666871 % \n", + "\n", + " 9572: 0.435736, 0.470342 avg loss, 0.000010 rate, 0.568425 seconds, 612608 images, 0.312945 hours left\n", + "Loaded: 1.520204 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771237, GIOU: 0.766806), Class: 0.998868, Obj: 0.726275, No Obj: 0.002130, .5R: 1.000000, .75R: 0.600000, count: 35, class_loss = 0.315184, iou_loss = 0.220551, total_loss = 0.535735 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802249, GIOU: 0.793789), Class: 0.998660, Obj: 0.674232, No Obj: 0.000154, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.083534, iou_loss = 0.046863, total_loss = 0.130397 \n", + " total_bbox = 1062227, rewritten_bbox = 2.666944 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769682, GIOU: 0.759510), Class: 0.999180, Obj: 0.592283, No Obj: 0.002485, .5R: 1.000000, .75R: 0.693878, count: 49, class_loss = 0.579581, iou_loss = 0.273775, total_loss = 0.853356 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786869, GIOU: 0.780269), Class: 0.992637, Obj: 0.422248, No Obj: 0.000174, .5R: 0.923077, .75R: 0.692308, count: 13, class_loss = 0.215158, iou_loss = 0.060061, total_loss = 0.275219 \n", + " total_bbox = 1062289, rewritten_bbox = 2.666883 % \n", + "\n", + " 9573: 0.448677, 0.468176 avg loss, 0.000010 rate, 0.575265 seconds, 612672 images, 0.312331 hours left\n", + "Loaded: 1.536967 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802858, GIOU: 0.797143), Class: 0.999445, Obj: 0.756214, No Obj: 0.002524, .5R: 0.977273, .75R: 0.772727, count: 44, class_loss = 0.336287, iou_loss = 0.215063, total_loss = 0.551349 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780416, GIOU: 0.771960), Class: 0.999320, Obj: 0.581626, No Obj: 0.000207, .5R: 1.000000, .75R: 0.769231, count: 13, class_loss = 0.240159, iou_loss = 0.058482, total_loss = 0.298641 \n", + " total_bbox = 1062346, rewritten_bbox = 2.666928 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785840, GIOU: 0.776131), Class: 0.999254, Obj: 0.660321, No Obj: 0.002208, .5R: 0.973684, .75R: 0.710526, count: 38, class_loss = 0.425295, iou_loss = 0.276088, total_loss = 0.701382 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.660573, GIOU: 0.644138), Class: 0.985683, Obj: 0.388450, No Obj: 0.000130, .5R: 0.900000, .75R: 0.500000, count: 10, class_loss = 0.200158, iou_loss = 0.082375, total_loss = 0.282533 \n", + " total_bbox = 1062394, rewritten_bbox = 2.666807 % \n", + "\n", + " 9574: 0.458476, 0.467206 avg loss, 0.000010 rate, 0.536974 seconds, 612736 images, 0.311695 hours left\n", + "Loaded: 1.636498 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785985, GIOU: 0.778867), Class: 0.999553, Obj: 0.704466, No Obj: 0.002549, .5R: 1.000000, .75R: 0.755556, count: 45, class_loss = 0.407860, iou_loss = 0.243762, total_loss = 0.651623 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786735, GIOU: 0.782721), Class: 0.999449, Obj: 0.766264, No Obj: 0.000104, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.042231, iou_loss = 0.028526, total_loss = 0.070756 \n", + " total_bbox = 1062444, rewritten_bbox = 2.666870 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780773, GIOU: 0.772410), Class: 0.999622, Obj: 0.703518, No Obj: 0.002376, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.373924, iou_loss = 0.268034, total_loss = 0.641958 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772115, GIOU: 0.757014), Class: 0.999458, Obj: 0.678415, No Obj: 0.000220, .5R: 0.928571, .75R: 0.785714, count: 14, class_loss = 0.138160, iou_loss = 0.107381, total_loss = 0.245541 \n", + " total_bbox = 1062504, rewritten_bbox = 2.667002 % \n", + "\n", + " 9575: 0.402470, 0.460732 avg loss, 0.000010 rate, 0.705139 seconds, 612800 images, 0.311034 hours left\n", + "Loaded: 1.764146 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812733, GIOU: 0.807239), Class: 0.999552, Obj: 0.779584, No Obj: 0.002187, .5R: 0.970588, .75R: 0.794118, count: 34, class_loss = 0.220139, iou_loss = 0.174559, total_loss = 0.394698 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786021, GIOU: 0.779776), Class: 0.999718, Obj: 0.620891, No Obj: 0.000166, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.122811, iou_loss = 0.081135, total_loss = 0.203946 \n", + " total_bbox = 1062552, rewritten_bbox = 2.667069 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774777, GIOU: 0.765707), Class: 0.999511, Obj: 0.732473, No Obj: 0.002082, .5R: 1.000000, .75R: 0.611111, count: 36, class_loss = 0.299455, iou_loss = 0.192691, total_loss = 0.492146 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.804041, GIOU: 0.798233), Class: 0.999675, Obj: 0.465683, No Obj: 0.000113, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.152910, iou_loss = 0.051238, total_loss = 0.204148 \n", + " total_bbox = 1062599, rewritten_bbox = 2.667046 % \n", + "\n", + " 9576: 0.323734, 0.447032 avg loss, 0.000010 rate, 0.705653 seconds, 612864 images, 0.310688 hours left\n", + "Loaded: 2.009843 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789762, GIOU: 0.782099), Class: 0.999624, Obj: 0.687224, No Obj: 0.003086, .5R: 1.000000, .75R: 0.711538, count: 52, class_loss = 0.427931, iou_loss = 0.273129, total_loss = 0.701060 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763539, GIOU: 0.759841), Class: 0.999649, Obj: 0.585827, No Obj: 0.000166, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.113920, iou_loss = 0.051591, total_loss = 0.165511 \n", + " total_bbox = 1062658, rewritten_bbox = 2.666898 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799436, GIOU: 0.795309), Class: 0.999744, Obj: 0.800703, No Obj: 0.002305, .5R: 1.000000, .75R: 0.763158, count: 38, class_loss = 0.237452, iou_loss = 0.135152, total_loss = 0.372604 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785197, GIOU: 0.778153), Class: 0.996765, Obj: 0.623968, No Obj: 0.000337, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.328996, iou_loss = 0.113032, total_loss = 0.442029 \n", + " total_bbox = 1062719, rewritten_bbox = 2.666933 % \n", + "\n", + " 9577: 0.420301, 0.444359 avg loss, 0.000010 rate, 0.589134 seconds, 612928 images, 0.310493 hours left\n", + "Loaded: 1.665148 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786932, GIOU: 0.779439), Class: 0.999374, Obj: 0.736786, No Obj: 0.002753, .5R: 1.000000, .75R: 0.720930, count: 43, class_loss = 0.338188, iou_loss = 0.236116, total_loss = 0.574304 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797681, GIOU: 0.789110), Class: 0.999543, Obj: 0.706820, No Obj: 0.000217, .5R: 1.000000, .75R: 0.800000, count: 15, class_loss = 0.095302, iou_loss = 0.073557, total_loss = 0.168860 \n", + " total_bbox = 1062777, rewritten_bbox = 2.666787 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796324, GIOU: 0.788545), Class: 0.999677, Obj: 0.708731, No Obj: 0.001653, .5R: 1.000000, .75R: 0.791667, count: 24, class_loss = 0.203850, iou_loss = 0.117692, total_loss = 0.321542 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764711, GIOU: 0.756199), Class: 0.997333, Obj: 0.660261, No Obj: 0.000226, .5R: 1.000000, .75R: 0.647059, count: 17, class_loss = 0.191181, iou_loss = 0.113934, total_loss = 0.305115 \n", + " total_bbox = 1062818, rewritten_bbox = 2.666684 % \n", + "\n", + " 9578: 0.342455, 0.434169 avg loss, 0.000010 rate, 0.732484 seconds, 612992 images, 0.310442 hours left\n", + "Loaded: 1.880877 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779817, GIOU: 0.771963), Class: 0.999664, Obj: 0.688011, No Obj: 0.002454, .5R: 1.000000, .75R: 0.650000, count: 40, class_loss = 0.355663, iou_loss = 0.193807, total_loss = 0.549470 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.661060, GIOU: 0.651020), Class: 0.998513, Obj: 0.553660, No Obj: 0.000192, .5R: 0.928571, .75R: 0.357143, count: 14, class_loss = 0.183312, iou_loss = 0.155772, total_loss = 0.339084 \n", + " total_bbox = 1062872, rewritten_bbox = 2.666549 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789904, GIOU: 0.780903), Class: 0.999380, Obj: 0.728512, No Obj: 0.002857, .5R: 0.978723, .75R: 0.680851, count: 47, class_loss = 0.423165, iou_loss = 0.304685, total_loss = 0.727850 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.790633, GIOU: 0.782085), Class: 0.998504, Obj: 0.541606, No Obj: 0.000131, .5R: 1.000000, .75R: 0.777778, count: 9, class_loss = 0.113996, iou_loss = 0.041766, total_loss = 0.155762 \n", + " total_bbox = 1062928, rewritten_bbox = 2.666502 % \n", + "\n", + " 9579: 0.443042, 0.435056 avg loss, 0.000010 rate, 0.535637 seconds, 613056 images, 0.310148 hours left\n", + "Loaded: 1.887109 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800545, GIOU: 0.794444), Class: 0.999460, Obj: 0.679525, No Obj: 0.002305, .5R: 1.000000, .75R: 0.852941, count: 34, class_loss = 0.383486, iou_loss = 0.183412, total_loss = 0.566898 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.811291, GIOU: 0.806358), Class: 0.999833, Obj: 0.643173, No Obj: 0.000235, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.115334, iou_loss = 0.058643, total_loss = 0.173977 \n", + " total_bbox = 1062976, rewritten_bbox = 2.666570 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811835, GIOU: 0.808816), Class: 0.999758, Obj: 0.756964, No Obj: 0.002714, .5R: 1.000000, .75R: 0.727273, count: 44, class_loss = 0.252726, iou_loss = 0.149268, total_loss = 0.401994 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757079, GIOU: 0.750034), Class: 0.999496, Obj: 0.696882, No Obj: 0.000274, .5R: 1.000000, .75R: 0.550000, count: 20, class_loss = 0.190415, iou_loss = 0.124033, total_loss = 0.314448 \n", + " total_bbox = 1063040, rewritten_bbox = 2.666504 % \n", + "\n", + " 9580: 0.364329, 0.427983 avg loss, 0.000010 rate, 0.654112 seconds, 613120 images, 0.309877 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 544 x 544 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000040 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788150, GIOU: 0.780756), Class: 0.999095, Obj: 0.629506, No Obj: 0.002589, .5R: 1.000000, .75R: 0.693878, count: 49, class_loss = 0.579330, iou_loss = 0.312004, total_loss = 0.891334 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747986, GIOU: 0.736228), Class: 0.989842, Obj: 0.331463, No Obj: 0.000128, .5R: 0.941176, .75R: 0.529412, count: 17, class_loss = 0.302015, iou_loss = 0.132782, total_loss = 0.434796 \n", + " total_bbox = 1063106, rewritten_bbox = 2.666526 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798878, GIOU: 0.792596), Class: 0.999247, Obj: 0.661122, No Obj: 0.002450, .5R: 1.000000, .75R: 0.729167, count: 48, class_loss = 0.435792, iou_loss = 0.266525, total_loss = 0.702317 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757513, GIOU: 0.746267), Class: 0.998784, Obj: 0.600586, No Obj: 0.000180, .5R: 0.937500, .75R: 0.625000, count: 16, class_loss = 0.205419, iou_loss = 0.114343, total_loss = 0.319762 \n", + " total_bbox = 1063170, rewritten_bbox = 2.666648 % \n", + "\n", + " 9581: 0.587052, 0.443890 avg loss, 0.000010 rate, 0.745582 seconds, 613184 images, 0.309743 hours left\n", + "Loaded: 2.115844 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777745, GIOU: 0.770481), Class: 0.999547, Obj: 0.702640, No Obj: 0.001861, .5R: 1.000000, .75R: 0.655172, count: 29, class_loss = 0.294529, iou_loss = 0.136372, total_loss = 0.430901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.718436, GIOU: 0.693853), Class: 0.993010, Obj: 0.532668, No Obj: 0.000169, .5R: 0.866667, .75R: 0.600000, count: 15, class_loss = 0.159646, iou_loss = 0.134914, total_loss = 0.294560 \n", + " total_bbox = 1063214, rewritten_bbox = 2.666631 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806802, GIOU: 0.800823), Class: 0.999383, Obj: 0.727806, No Obj: 0.002344, .5R: 0.976191, .75R: 0.761905, count: 42, class_loss = 0.358077, iou_loss = 0.210824, total_loss = 0.568901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.644151, GIOU: 0.632567), Class: 0.992155, Obj: 0.565156, No Obj: 0.000100, .5R: 0.777778, .75R: 0.444444, count: 9, class_loss = 0.100268, iou_loss = 0.090685, total_loss = 0.190953 \n", + " total_bbox = 1063265, rewritten_bbox = 2.666598 % \n", + "\n", + " 9582: 0.371329, 0.436634 avg loss, 0.000010 rate, 0.615992 seconds, 613248 images, 0.307519 hours left\n", + "Loaded: 1.694612 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786156, GIOU: 0.778732), Class: 0.999311, Obj: 0.697177, No Obj: 0.003051, .5R: 1.000000, .75R: 0.672414, count: 58, class_loss = 0.429956, iou_loss = 0.344150, total_loss = 0.774106 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781131, GIOU: 0.767444), Class: 0.999792, Obj: 0.631967, No Obj: 0.000052, .5R: 1.000000, .75R: 0.500000, count: 2, class_loss = 0.029885, iou_loss = 0.011445, total_loss = 0.041330 \n", + " total_bbox = 1063325, rewritten_bbox = 2.666541 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810749, GIOU: 0.804876), Class: 0.999544, Obj: 0.670594, No Obj: 0.002002, .5R: 0.975000, .75R: 0.800000, count: 40, class_loss = 0.445380, iou_loss = 0.172954, total_loss = 0.618334 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746178, GIOU: 0.720630), Class: 0.996135, Obj: 0.499384, No Obj: 0.000180, .5R: 0.928571, .75R: 0.642857, count: 14, class_loss = 0.244837, iou_loss = 0.154708, total_loss = 0.399544 \n", + " total_bbox = 1063379, rewritten_bbox = 2.666500 % \n", + "\n", + " 9583: 0.458328, 0.438804 avg loss, 0.000010 rate, 0.686259 seconds, 613312 images, 0.307616 hours left\n", + "Loaded: 1.992079 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.826518, GIOU: 0.820869), Class: 0.999436, Obj: 0.710749, No Obj: 0.002762, .5R: 1.000000, .75R: 0.837209, count: 43, class_loss = 0.314093, iou_loss = 0.174688, total_loss = 0.488781 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741880, GIOU: 0.726180), Class: 0.995535, Obj: 0.573124, No Obj: 0.000123, .5R: 0.909091, .75R: 0.636364, count: 11, class_loss = 0.135444, iou_loss = 0.074235, total_loss = 0.209679 \n", + " total_bbox = 1063433, rewritten_bbox = 2.666459 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765341, GIOU: 0.753974), Class: 0.999198, Obj: 0.652636, No Obj: 0.002221, .5R: 1.000000, .75R: 0.613636, count: 44, class_loss = 0.496109, iou_loss = 0.316327, total_loss = 0.812436 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.804365, GIOU: 0.797197), Class: 0.999951, Obj: 0.536457, No Obj: 0.000097, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.108437, iou_loss = 0.040091, total_loss = 0.148528 \n", + " total_bbox = 1063485, rewritten_bbox = 2.666422 % \n", + "\n", + " 9584: 0.414856, 0.436409 avg loss, 0.000010 rate, 0.728777 seconds, 613376 images, 0.307298 hours left\n", + "Loaded: 1.903260 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788102, GIOU: 0.781332), Class: 0.999364, Obj: 0.687764, No Obj: 0.002669, .5R: 0.978261, .75R: 0.717391, count: 46, class_loss = 0.460584, iou_loss = 0.291664, total_loss = 0.752249 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782938, GIOU: 0.775432), Class: 0.999604, Obj: 0.845891, No Obj: 0.000143, .5R: 1.000000, .75R: 0.444444, count: 9, class_loss = 0.055826, iou_loss = 0.059523, total_loss = 0.115349 \n", + " total_bbox = 1063540, rewritten_bbox = 2.666472 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788915, GIOU: 0.783388), Class: 0.999305, Obj: 0.639297, No Obj: 0.002776, .5R: 1.000000, .75R: 0.785714, count: 56, class_loss = 0.528965, iou_loss = 0.307198, total_loss = 0.836163 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763280, GIOU: 0.755515), Class: 0.999226, Obj: 0.478983, No Obj: 0.000147, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.212130, iou_loss = 0.113931, total_loss = 0.326061 \n", + " total_bbox = 1063608, rewritten_bbox = 2.666396 % \n", + "\n", + " 9585: 0.507455, 0.443513 avg loss, 0.000010 rate, 0.754768 seconds, 613440 images, 0.307369 hours left\n", + "Loaded: 1.809938 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805470, GIOU: 0.798761), Class: 0.999442, Obj: 0.632525, No Obj: 0.002988, .5R: 0.981818, .75R: 0.727273, count: 55, class_loss = 0.623261, iou_loss = 0.293396, total_loss = 0.916658 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747375, GIOU: 0.738476), Class: 0.998563, Obj: 0.322912, No Obj: 0.000144, .5R: 0.947368, .75R: 0.631579, count: 19, class_loss = 0.392081, iou_loss = 0.166286, total_loss = 0.558367 \n", + " total_bbox = 1063682, rewritten_bbox = 2.666399 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789975, GIOU: 0.781617), Class: 0.999287, Obj: 0.581495, No Obj: 0.002247, .5R: 0.982143, .75R: 0.732143, count: 56, class_loss = 0.670189, iou_loss = 0.329487, total_loss = 0.999676 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.804875, GIOU: 0.801567), Class: 0.999393, Obj: 0.557245, No Obj: 0.000102, .5R: 0.888889, .75R: 0.777778, count: 9, class_loss = 0.113708, iou_loss = 0.021351, total_loss = 0.135059 \n", + " total_bbox = 1063747, rewritten_bbox = 2.666800 % \n", + "\n", + " 9586: 0.652440, 0.464406 avg loss, 0.000010 rate, 0.708607 seconds, 613504 images, 0.307360 hours left\n", + "Loaded: 1.958120 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799844, GIOU: 0.794388), Class: 0.999467, Obj: 0.719115, No Obj: 0.002144, .5R: 1.000000, .75R: 0.700000, count: 40, class_loss = 0.393139, iou_loss = 0.234653, total_loss = 0.627791 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800693, GIOU: 0.795348), Class: 0.999581, Obj: 0.558149, No Obj: 0.000152, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.136967, iou_loss = 0.058965, total_loss = 0.195933 \n", + " total_bbox = 1063798, rewritten_bbox = 2.666954 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.758685, GIOU: 0.750210), Class: 0.999369, Obj: 0.653944, No Obj: 0.002220, .5R: 0.979167, .75R: 0.625000, count: 48, class_loss = 0.610749, iou_loss = 0.318888, total_loss = 0.929637 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793773, GIOU: 0.785420), Class: 0.999674, Obj: 0.651850, No Obj: 0.000111, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.062313, iou_loss = 0.027241, total_loss = 0.089554 \n", + " total_bbox = 1063852, rewritten_bbox = 2.666912 % \n", + "\n", + " 9587: 0.460729, 0.464038 avg loss, 0.000010 rate, 0.571278 seconds, 613568 images, 0.307186 hours left\n", + "Loaded: 1.593474 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774719, GIOU: 0.766462), Class: 0.999125, Obj: 0.668294, No Obj: 0.002544, .5R: 0.980769, .75R: 0.634615, count: 52, class_loss = 0.515216, iou_loss = 0.337721, total_loss = 0.852937 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807451, GIOU: 0.804862), Class: 0.999498, Obj: 0.636171, No Obj: 0.000167, .5R: 1.000000, .75R: 0.750000, count: 12, class_loss = 0.128910, iou_loss = 0.063135, total_loss = 0.192045 \n", + " total_bbox = 1063916, rewritten_bbox = 2.666846 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804338, GIOU: 0.799031), Class: 0.999475, Obj: 0.754980, No Obj: 0.002397, .5R: 1.000000, .75R: 0.755102, count: 49, class_loss = 0.314562, iou_loss = 0.216041, total_loss = 0.530603 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764373, GIOU: 0.755764), Class: 0.998214, Obj: 0.467180, No Obj: 0.000097, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.108399, iou_loss = 0.038992, total_loss = 0.147391 \n", + " total_bbox = 1063969, rewritten_bbox = 2.666901 % \n", + "\n", + " 9588: 0.430744, 0.460709 avg loss, 0.000010 rate, 0.679399 seconds, 613632 images, 0.307016 hours left\n", + "Loaded: 1.593012 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785704, GIOU: 0.778551), Class: 0.999202, Obj: 0.683124, No Obj: 0.002256, .5R: 0.975610, .75R: 0.756098, count: 41, class_loss = 0.464166, iou_loss = 0.257771, total_loss = 0.721937 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.685384, GIOU: 0.642272), Class: 0.994750, Obj: 0.311094, No Obj: 0.000064, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.128217, iou_loss = 0.112824, total_loss = 0.241041 \n", + " total_bbox = 1064016, rewritten_bbox = 2.666877 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771317, GIOU: 0.761471), Class: 0.999130, Obj: 0.677290, No Obj: 0.002799, .5R: 0.982143, .75R: 0.625000, count: 56, class_loss = 0.560517, iou_loss = 0.511217, total_loss = 1.071734 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.830226, GIOU: 0.825989), Class: 0.999362, Obj: 0.589961, No Obj: 0.000094, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.079171, iou_loss = 0.027077, total_loss = 0.106247 \n", + " total_bbox = 1064078, rewritten_bbox = 2.667004 % \n", + "\n", + " 9589: 0.535240, 0.468162 avg loss, 0.000010 rate, 0.782632 seconds, 613696 images, 0.306547 hours left\n", + "Loaded: 1.725692 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786496, GIOU: 0.777926), Class: 0.999324, Obj: 0.713316, No Obj: 0.003027, .5R: 0.962963, .75R: 0.722222, count: 54, class_loss = 0.447328, iou_loss = 0.316104, total_loss = 0.763431 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738951, GIOU: 0.726390), Class: 0.999229, Obj: 0.493626, No Obj: 0.000112, .5R: 1.000000, .75R: 0.375000, count: 8, class_loss = 0.127783, iou_loss = 0.056599, total_loss = 0.184382 \n", + " total_bbox = 1064140, rewritten_bbox = 2.666942 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804912, GIOU: 0.799088), Class: 0.999252, Obj: 0.699566, No Obj: 0.002633, .5R: 0.981132, .75R: 0.849057, count: 53, class_loss = 0.584155, iou_loss = 0.280277, total_loss = 0.864433 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779494, GIOU: 0.771018), Class: 0.999807, Obj: 0.561858, No Obj: 0.000133, .5R: 1.000000, .75R: 0.700000, count: 10, class_loss = 0.116140, iou_loss = 0.070378, total_loss = 0.186518 \n", + " total_bbox = 1064203, rewritten_bbox = 2.667160 % \n", + "\n", + " 9590: 0.499691, 0.471315 avg loss, 0.000010 rate, 0.609104 seconds, 613760 images, 0.306194 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 544 x 544 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.652142 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766273, GIOU: 0.755783), Class: 0.999077, Obj: 0.618233, No Obj: 0.001679, .5R: 1.000000, .75R: 0.593750, count: 32, class_loss = 0.481299, iou_loss = 0.238455, total_loss = 0.719753 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795496, GIOU: 0.786543), Class: 0.999568, Obj: 0.675936, No Obj: 0.000090, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.052197, iou_loss = 0.037688, total_loss = 0.089885 \n", + " total_bbox = 1064242, rewritten_bbox = 2.667156 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801528, GIOU: 0.796712), Class: 0.999601, Obj: 0.749728, No Obj: 0.002249, .5R: 1.000000, .75R: 0.794872, count: 39, class_loss = 0.264469, iou_loss = 0.178806, total_loss = 0.443276 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769271, GIOU: 0.760904), Class: 0.997643, Obj: 0.511023, No Obj: 0.000081, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.112746, iou_loss = 0.066767, total_loss = 0.179513 \n", + " total_bbox = 1064289, rewritten_bbox = 2.667133 % \n", + "\n", + " 9591: 0.358107, 0.459994 avg loss, 0.000010 rate, 0.730653 seconds, 613824 images, 0.305791 hours left\n", + "Loaded: 1.462419 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.816084, GIOU: 0.810228), Class: 0.999442, Obj: 0.643147, No Obj: 0.002761, .5R: 1.000000, .75R: 0.880000, count: 50, class_loss = 0.664472, iou_loss = 0.227330, total_loss = 0.891802 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.678633, GIOU: 0.659141), Class: 0.995531, Obj: 0.320947, No Obj: 0.000118, .5R: 0.857143, .75R: 0.500000, count: 14, class_loss = 0.255880, iou_loss = 0.244672, total_loss = 0.500552 \n", + " total_bbox = 1064353, rewritten_bbox = 2.667066 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806193, GIOU: 0.800953), Class: 0.999649, Obj: 0.747330, No Obj: 0.002482, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.356942, iou_loss = 0.257349, total_loss = 0.614291 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.703976, GIOU: 0.688616), Class: 0.989104, Obj: 0.566015, No Obj: 0.000106, .5R: 0.833333, .75R: 0.500000, count: 6, class_loss = 0.072330, iou_loss = 0.046530, total_loss = 0.118860 \n", + " total_bbox = 1064409, rewritten_bbox = 2.667114 % \n", + "\n", + " 9592: 0.531376, 0.467132 avg loss, 0.000010 rate, 0.618210 seconds, 613888 images, 0.305444 hours left\n", + "Loaded: 1.831669 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786624, GIOU: 0.780380), Class: 0.999369, Obj: 0.635610, No Obj: 0.002444, .5R: 0.979592, .75R: 0.632653, count: 49, class_loss = 0.557494, iou_loss = 0.314962, total_loss = 0.872455 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755774, GIOU: 0.743122), Class: 0.998924, Obj: 0.592760, No Obj: 0.000129, .5R: 0.888889, .75R: 0.555556, count: 9, class_loss = 0.092724, iou_loss = 0.045020, total_loss = 0.137744 \n", + " total_bbox = 1064467, rewritten_bbox = 2.667063 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784864, GIOU: 0.777630), Class: 0.999567, Obj: 0.619085, No Obj: 0.002629, .5R: 0.978723, .75R: 0.702128, count: 47, class_loss = 0.589613, iou_loss = 0.304823, total_loss = 0.894436 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.814623, GIOU: 0.809142), Class: 0.999527, Obj: 0.740035, No Obj: 0.000106, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.058699, iou_loss = 0.027450, total_loss = 0.086149 \n", + " total_bbox = 1064521, rewritten_bbox = 2.667021 % \n", + "\n", + " 9593: 0.497696, 0.470189 avg loss, 0.000010 rate, 0.663598 seconds, 613952 images, 0.304748 hours left\n", + "Loaded: 1.790392 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786727, GIOU: 0.780650), Class: 0.999269, Obj: 0.614062, No Obj: 0.001816, .5R: 0.972222, .75R: 0.750000, count: 36, class_loss = 0.357055, iou_loss = 0.189850, total_loss = 0.546904 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795001, GIOU: 0.790277), Class: 0.998559, Obj: 0.617069, No Obj: 0.000090, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.081854, iou_loss = 0.028688, total_loss = 0.110543 \n", + " total_bbox = 1064563, rewritten_bbox = 2.666916 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778784, GIOU: 0.769593), Class: 0.999661, Obj: 0.637951, No Obj: 0.002375, .5R: 1.000000, .75R: 0.658537, count: 41, class_loss = 0.526698, iou_loss = 0.207172, total_loss = 0.733870 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796256, GIOU: 0.789252), Class: 0.999785, Obj: 0.671486, No Obj: 0.000291, .5R: 1.000000, .75R: 0.791667, count: 24, class_loss = 0.243611, iou_loss = 0.147584, total_loss = 0.391195 \n", + " total_bbox = 1064628, rewritten_bbox = 2.666847 % \n", + "\n", + " 9594: 0.445628, 0.467733 avg loss, 0.000010 rate, 0.723796 seconds, 614016 images, 0.304522 hours left\n", + "Loaded: 1.872653 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780906, GIOU: 0.773018), Class: 0.998311, Obj: 0.608800, No Obj: 0.001973, .5R: 1.000000, .75R: 0.692308, count: 39, class_loss = 0.437408, iou_loss = 0.229776, total_loss = 0.667184 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.671764, GIOU: 0.662393), Class: 0.989156, Obj: 0.160572, No Obj: 0.000081, .5R: 0.875000, .75R: 0.625000, count: 8, class_loss = 0.229386, iou_loss = 0.166640, total_loss = 0.396025 \n", + " total_bbox = 1064675, rewritten_bbox = 2.666729 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783565, GIOU: 0.772979), Class: 0.999285, Obj: 0.675185, No Obj: 0.002881, .5R: 0.938775, .75R: 0.693878, count: 49, class_loss = 0.533580, iou_loss = 0.272959, total_loss = 0.806538 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.706985, GIOU: 0.675507), Class: 0.989395, Obj: 0.611004, No Obj: 0.000240, .5R: 0.894737, .75R: 0.526316, count: 19, class_loss = 0.252977, iou_loss = 0.213204, total_loss = 0.466180 \n", + " total_bbox = 1064743, rewritten_bbox = 2.666747 % \n", + "\n", + " 9595: 0.583982, 0.479358 avg loss, 0.000010 rate, 0.617598 seconds, 614080 images, 0.304312 hours left\n", + "Loaded: 1.627400 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789110, GIOU: 0.783155), Class: 0.999577, Obj: 0.652571, No Obj: 0.002487, .5R: 0.979167, .75R: 0.750000, count: 48, class_loss = 0.485370, iou_loss = 0.256515, total_loss = 0.741885 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783422, GIOU: 0.773840), Class: 0.998989, Obj: 0.420259, No Obj: 0.000192, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.292829, iou_loss = 0.102185, total_loss = 0.395014 \n", + " total_bbox = 1064809, rewritten_bbox = 2.666675 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810813, GIOU: 0.805681), Class: 0.999785, Obj: 0.688688, No Obj: 0.002188, .5R: 1.000000, .75R: 0.818182, count: 44, class_loss = 0.369010, iou_loss = 0.225653, total_loss = 0.594663 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777750, GIOU: 0.770323), Class: 0.999849, Obj: 0.624356, No Obj: 0.000148, .5R: 1.000000, .75R: 0.777778, count: 9, class_loss = 0.127154, iou_loss = 0.047053, total_loss = 0.174207 \n", + " total_bbox = 1064862, rewritten_bbox = 2.666824 % \n", + "\n", + " 9596: 0.476442, 0.479066 avg loss, 0.000010 rate, 0.732874 seconds, 614144 images, 0.304070 hours left\n", + "Loaded: 1.537192 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784813, GIOU: 0.778635), Class: 0.999541, Obj: 0.738345, No Obj: 0.002774, .5R: 1.000000, .75R: 0.588235, count: 51, class_loss = 0.375655, iou_loss = 0.267562, total_loss = 0.643217 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731881, GIOU: 0.719632), Class: 0.997943, Obj: 0.467407, No Obj: 0.000139, .5R: 1.000000, .75R: 0.461538, count: 13, class_loss = 0.204006, iou_loss = 0.122829, total_loss = 0.326835 \n", + " total_bbox = 1064926, rewritten_bbox = 2.666946 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773809, GIOU: 0.760769), Class: 0.999516, Obj: 0.689861, No Obj: 0.002609, .5R: 0.979167, .75R: 0.666667, count: 48, class_loss = 0.508997, iou_loss = 0.421426, total_loss = 0.930423 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749533, GIOU: 0.741215), Class: 0.999659, Obj: 0.531274, No Obj: 0.000129, .5R: 0.916667, .75R: 0.583333, count: 12, class_loss = 0.139223, iou_loss = 0.136521, total_loss = 0.275744 \n", + " total_bbox = 1064986, rewritten_bbox = 2.666889 % \n", + "\n", + " 9597: 0.544055, 0.485565 avg loss, 0.000010 rate, 0.689186 seconds, 614208 images, 0.303678 hours left\n", + "Loaded: 2.024572 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810371, GIOU: 0.806161), Class: 0.999766, Obj: 0.774228, No Obj: 0.002256, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.254522, iou_loss = 0.163623, total_loss = 0.418145 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.700305, GIOU: 0.676264), Class: 0.993743, Obj: 0.409696, No Obj: 0.000152, .5R: 0.933333, .75R: 0.266667, count: 15, class_loss = 0.270098, iou_loss = 0.146389, total_loss = 0.416487 \n", + " total_bbox = 1065043, rewritten_bbox = 2.666841 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784326, GIOU: 0.776219), Class: 0.999163, Obj: 0.663272, No Obj: 0.002271, .5R: 1.000000, .75R: 0.644444, count: 45, class_loss = 0.422784, iou_loss = 0.228790, total_loss = 0.651574 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784794, GIOU: 0.779213), Class: 0.995826, Obj: 0.558730, No Obj: 0.000116, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.106798, iou_loss = 0.033688, total_loss = 0.140487 \n", + " total_bbox = 1065095, rewritten_bbox = 2.666804 % \n", + "\n", + " 9598: 0.406673, 0.477676 avg loss, 0.000010 rate, 0.699729 seconds, 614272 images, 0.303134 hours left\n", + "Loaded: 1.485904 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813592, GIOU: 0.808226), Class: 0.999636, Obj: 0.800425, No Obj: 0.002534, .5R: 1.000000, .75R: 0.795455, count: 44, class_loss = 0.259475, iou_loss = 0.179825, total_loss = 0.439300 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770501, GIOU: 0.760489), Class: 0.998608, Obj: 0.565877, No Obj: 0.000146, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.150844, iou_loss = 0.081454, total_loss = 0.232298 \n", + " total_bbox = 1065152, rewritten_bbox = 2.666755 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.758569, GIOU: 0.750544), Class: 0.999289, Obj: 0.624817, No Obj: 0.002315, .5R: 1.000000, .75R: 0.553191, count: 47, class_loss = 0.558669, iou_loss = 0.313921, total_loss = 0.872590 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765207, GIOU: 0.753346), Class: 0.996798, Obj: 0.596838, No Obj: 0.000167, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.170472, iou_loss = 0.065427, total_loss = 0.235899 \n", + " total_bbox = 1065211, rewritten_bbox = 2.666702 % \n", + "\n", + " 9599: 0.445022, 0.474410 avg loss, 0.000010 rate, 0.694987 seconds, 614336 images, 0.303152 hours left\n", + "Loaded: 1.470483 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804958, GIOU: 0.798126), Class: 0.999765, Obj: 0.794811, No Obj: 0.002007, .5R: 1.000000, .75R: 0.756098, count: 41, class_loss = 0.242274, iou_loss = 0.208161, total_loss = 0.450435 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765532, GIOU: 0.756599), Class: 0.999684, Obj: 0.559939, No Obj: 0.000158, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.176547, iou_loss = 0.057123, total_loss = 0.233670 \n", + " total_bbox = 1065261, rewritten_bbox = 2.666858 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799748, GIOU: 0.794033), Class: 0.999617, Obj: 0.788860, No Obj: 0.002771, .5R: 1.000000, .75R: 0.755556, count: 45, class_loss = 0.263149, iou_loss = 0.214666, total_loss = 0.477815 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758311, GIOU: 0.754018), Class: 0.999910, Obj: 0.597355, No Obj: 0.000094, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.120520, iou_loss = 0.033432, total_loss = 0.153952 \n", + " total_bbox = 1065311, rewritten_bbox = 2.666827 % \n", + "\n", + " 9600: 0.328968, 0.459866 avg loss, 0.000010 rate, 0.726725 seconds, 614400 images, 0.302550 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.067059 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780464, GIOU: 0.774433), Class: 0.999528, Obj: 0.666479, No Obj: 0.004001, .5R: 1.000000, .75R: 0.727273, count: 33, class_loss = 0.427992, iou_loss = 0.169933, total_loss = 0.597925 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729815, GIOU: 0.709831), Class: 0.995584, Obj: 0.506821, No Obj: 0.000829, .5R: 0.916667, .75R: 0.583333, count: 36, class_loss = 0.515289, iou_loss = 0.340231, total_loss = 0.855520 \n", + " total_bbox = 1065380, rewritten_bbox = 2.666936 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779845, GIOU: 0.772907), Class: 0.999758, Obj: 0.771206, No Obj: 0.003973, .5R: 0.972222, .75R: 0.694444, count: 36, class_loss = 0.276166, iou_loss = 0.215835, total_loss = 0.492000 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713636, GIOU: 0.700761), Class: 0.988302, Obj: 0.396596, No Obj: 0.000681, .5R: 0.906250, .75R: 0.500000, count: 32, class_loss = 0.567621, iou_loss = 0.266038, total_loss = 0.833659 \n", + " total_bbox = 1065448, rewritten_bbox = 2.667047 % \n", + "\n", + " 9601: 0.694776, 0.483357 avg loss, 0.000010 rate, 0.273082 seconds, 614464 images, 0.301966 hours left\n", + "Loaded: 2.025727 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785863, GIOU: 0.778405), Class: 0.999408, Obj: 0.613371, No Obj: 0.002617, .5R: 1.000000, .75R: 0.680000, count: 25, class_loss = 0.300176, iou_loss = 0.117084, total_loss = 0.417260 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.727036, GIOU: 0.713675), Class: 0.998935, Obj: 0.546764, No Obj: 0.000564, .5R: 0.958333, .75R: 0.583333, count: 24, class_loss = 0.327774, iou_loss = 0.174543, total_loss = 0.502317 \n", + " total_bbox = 1065497, rewritten_bbox = 2.667018 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773477, GIOU: 0.761106), Class: 0.999434, Obj: 0.705491, No Obj: 0.002990, .5R: 0.964286, .75R: 0.642857, count: 28, class_loss = 0.250658, iou_loss = 0.157362, total_loss = 0.408020 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771357, GIOU: 0.763090), Class: 0.999237, Obj: 0.566105, No Obj: 0.000519, .5R: 1.000000, .75R: 0.714286, count: 21, class_loss = 0.236098, iou_loss = 0.119564, total_loss = 0.355662 \n", + " total_bbox = 1065546, rewritten_bbox = 2.667083 % \n", + "\n", + " 9602: 0.420815, 0.477103 avg loss, 0.000010 rate, 0.285546 seconds, 614528 images, 0.299323 hours left\n", + "Loaded: 1.759528 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806961, GIOU: 0.802049), Class: 0.999392, Obj: 0.667134, No Obj: 0.002831, .5R: 1.000000, .75R: 0.758621, count: 29, class_loss = 0.303459, iou_loss = 0.138184, total_loss = 0.441644 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749946, GIOU: 0.740395), Class: 0.999572, Obj: 0.580480, No Obj: 0.000777, .5R: 0.969697, .75R: 0.515152, count: 33, class_loss = 0.368793, iou_loss = 0.247641, total_loss = 0.616435 \n", + " total_bbox = 1065608, rewritten_bbox = 2.667210 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.716352, GIOU: 0.700315), Class: 0.999707, Obj: 0.550799, No Obj: 0.002474, .5R: 0.894737, .75R: 0.368421, count: 19, class_loss = 0.381799, iou_loss = 0.157143, total_loss = 0.538942 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786830, GIOU: 0.780256), Class: 0.999439, Obj: 0.622833, No Obj: 0.000656, .5R: 1.000000, .75R: 0.708333, count: 24, class_loss = 0.231408, iou_loss = 0.117943, total_loss = 0.349351 \n", + " total_bbox = 1065651, rewritten_bbox = 2.667102 % \n", + "\n", + " 9603: 0.486593, 0.478052 avg loss, 0.000010 rate, 0.264678 seconds, 614592 images, 0.298885 hours left\n", + "Loaded: 1.881457 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797535, GIOU: 0.789797), Class: 0.999608, Obj: 0.782902, No Obj: 0.004279, .5R: 1.000000, .75R: 0.764706, count: 34, class_loss = 0.198484, iou_loss = 0.117619, total_loss = 0.316103 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793823, GIOU: 0.785506), Class: 0.996263, Obj: 0.530020, No Obj: 0.000408, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.181038, iou_loss = 0.096491, total_loss = 0.277529 \n", + " total_bbox = 1065698, rewritten_bbox = 2.666985 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808234, GIOU: 0.802093), Class: 0.999690, Obj: 0.758447, No Obj: 0.003207, .5R: 1.000000, .75R: 0.750000, count: 24, class_loss = 0.208924, iou_loss = 0.099807, total_loss = 0.308731 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713518, GIOU: 0.688883), Class: 0.996186, Obj: 0.511356, No Obj: 0.000778, .5R: 0.933333, .75R: 0.466667, count: 30, class_loss = 0.438873, iou_loss = 0.245996, total_loss = 0.684869 \n", + " total_bbox = 1065752, rewritten_bbox = 2.666943 % \n", + "\n", + " 9604: 0.396808, 0.469927 avg loss, 0.000010 rate, 0.285133 seconds, 614656 images, 0.298129 hours left\n", + "Loaded: 1.933033 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785515, GIOU: 0.778540), Class: 0.999732, Obj: 0.759222, No Obj: 0.002482, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.207514, iou_loss = 0.093999, total_loss = 0.301514 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788690, GIOU: 0.785219), Class: 0.999373, Obj: 0.680690, No Obj: 0.000730, .5R: 1.000000, .75R: 0.680000, count: 25, class_loss = 0.252521, iou_loss = 0.113144, total_loss = 0.365664 \n", + " total_bbox = 1065797, rewritten_bbox = 2.666924 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761418, GIOU: 0.753117), Class: 0.999486, Obj: 0.635855, No Obj: 0.004213, .5R: 1.000000, .75R: 0.600000, count: 45, class_loss = 0.428652, iou_loss = 0.303392, total_loss = 0.732044 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749314, GIOU: 0.733696), Class: 0.998493, Obj: 0.596584, No Obj: 0.000711, .5R: 0.956522, .75R: 0.739130, count: 23, class_loss = 0.350084, iou_loss = 0.216813, total_loss = 0.566897 \n", + " total_bbox = 1065865, rewritten_bbox = 2.667036 % \n", + "\n", + " 9605: 0.491530, 0.472088 avg loss, 0.000010 rate, 0.289492 seconds, 614720 images, 0.297531 hours left\n", + "Loaded: 1.851007 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800521, GIOU: 0.795878), Class: 0.999630, Obj: 0.713786, No Obj: 0.003137, .5R: 0.966667, .75R: 0.733333, count: 30, class_loss = 0.198177, iou_loss = 0.116960, total_loss = 0.315137 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761524, GIOU: 0.752440), Class: 0.996968, Obj: 0.549098, No Obj: 0.000652, .5R: 0.958333, .75R: 0.666667, count: 24, class_loss = 0.300431, iou_loss = 0.162270, total_loss = 0.462701 \n", + " total_bbox = 1065919, rewritten_bbox = 2.666994 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757981, GIOU: 0.749792), Class: 0.999660, Obj: 0.735484, No Obj: 0.003565, .5R: 1.000000, .75R: 0.441176, count: 34, class_loss = 0.229948, iou_loss = 0.205912, total_loss = 0.435861 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729576, GIOU: 0.713090), Class: 0.997726, Obj: 0.684333, No Obj: 0.000839, .5R: 0.933333, .75R: 0.566667, count: 30, class_loss = 0.247750, iou_loss = 0.220463, total_loss = 0.468213 \n", + " total_bbox = 1065983, rewritten_bbox = 2.667210 % \n", + "\n", + " 9606: 0.420478, 0.466927 avg loss, 0.000010 rate, 0.288596 seconds, 614784 images, 0.296994 hours left\n", + "Loaded: 1.789991 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776781, GIOU: 0.764749), Class: 0.999561, Obj: 0.684874, No Obj: 0.003034, .5R: 0.954545, .75R: 0.636364, count: 22, class_loss = 0.200131, iou_loss = 0.124647, total_loss = 0.324778 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773008, GIOU: 0.760705), Class: 0.999115, Obj: 0.700050, No Obj: 0.000644, .5R: 0.952381, .75R: 0.619048, count: 21, class_loss = 0.189902, iou_loss = 0.111312, total_loss = 0.301215 \n", + " total_bbox = 1066026, rewritten_bbox = 2.667289 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.818129, GIOU: 0.811080), Class: 0.999836, Obj: 0.829330, No Obj: 0.002771, .5R: 1.000000, .75R: 0.913043, count: 23, class_loss = 0.157652, iou_loss = 0.082810, total_loss = 0.240461 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794546, GIOU: 0.787491), Class: 0.997625, Obj: 0.610352, No Obj: 0.001008, .5R: 1.000000, .75R: 0.743590, count: 39, class_loss = 0.418619, iou_loss = 0.179827, total_loss = 0.598446 \n", + " total_bbox = 1066088, rewritten_bbox = 2.667416 % \n", + "\n", + " 9607: 0.366225, 0.456857 avg loss, 0.000010 rate, 0.283436 seconds, 614848 images, 0.296366 hours left\n", + "Loaded: 1.671890 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.746428, GIOU: 0.733820), Class: 0.999155, Obj: 0.617913, No Obj: 0.003519, .5R: 0.967742, .75R: 0.612903, count: 31, class_loss = 0.409388, iou_loss = 0.189757, total_loss = 0.599145 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750488, GIOU: 0.724057), Class: 0.995005, Obj: 0.527941, No Obj: 0.000698, .5R: 0.888889, .75R: 0.703704, count: 27, class_loss = 0.356457, iou_loss = 0.633467, total_loss = 0.989925 \n", + " total_bbox = 1066146, rewritten_bbox = 2.667271 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798713, GIOU: 0.790881), Class: 0.999376, Obj: 0.703934, No Obj: 0.002555, .5R: 1.000000, .75R: 0.739130, count: 23, class_loss = 0.165313, iou_loss = 0.107632, total_loss = 0.272945 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747241, GIOU: 0.736744), Class: 0.998693, Obj: 0.635135, No Obj: 0.000843, .5R: 0.939394, .75R: 0.545455, count: 33, class_loss = 0.312355, iou_loss = 0.202253, total_loss = 0.514608 \n", + " total_bbox = 1066202, rewritten_bbox = 2.667131 % \n", + "\n", + " 9608: 0.594156, 0.470586 avg loss, 0.000010 rate, 0.292951 seconds, 614912 images, 0.295666 hours left\n", + "Loaded: 1.700109 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794051, GIOU: 0.786449), Class: 0.999810, Obj: 0.725168, No Obj: 0.003152, .5R: 1.000000, .75R: 0.750000, count: 24, class_loss = 0.190527, iou_loss = 0.092730, total_loss = 0.283257 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725124, GIOU: 0.702173), Class: 0.993575, Obj: 0.588076, No Obj: 0.000942, .5R: 0.970588, .75R: 0.441176, count: 34, class_loss = 0.441262, iou_loss = 0.322690, total_loss = 0.763951 \n", + " total_bbox = 1066260, rewritten_bbox = 2.667267 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795553, GIOU: 0.788281), Class: 0.999802, Obj: 0.702671, No Obj: 0.003735, .5R: 1.000000, .75R: 0.724138, count: 29, class_loss = 0.278052, iou_loss = 0.150674, total_loss = 0.428725 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769015, GIOU: 0.761773), Class: 0.997095, Obj: 0.543666, No Obj: 0.000828, .5R: 0.968750, .75R: 0.718750, count: 32, class_loss = 0.431167, iou_loss = 0.177962, total_loss = 0.609129 \n", + " total_bbox = 1066321, rewritten_bbox = 2.667302 % \n", + "\n", + " 9609: 0.521266, 0.475654 avg loss, 0.000010 rate, 0.284890 seconds, 614976 images, 0.294848 hours left\n", + "Loaded: 1.516046 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763427, GIOU: 0.754649), Class: 0.999073, Obj: 0.588946, No Obj: 0.003083, .5R: 1.000000, .75R: 0.620690, count: 29, class_loss = 0.325053, iou_loss = 0.160281, total_loss = 0.485334 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758451, GIOU: 0.748719), Class: 0.997491, Obj: 0.491182, No Obj: 0.000927, .5R: 0.972222, .75R: 0.583333, count: 36, class_loss = 0.518673, iou_loss = 0.179529, total_loss = 0.698202 \n", + " total_bbox = 1066386, rewritten_bbox = 2.667327 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804645, GIOU: 0.796396), Class: 0.999657, Obj: 0.613895, No Obj: 0.003551, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.312479, iou_loss = 0.139579, total_loss = 0.452058 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777106, GIOU: 0.770734), Class: 0.999330, Obj: 0.710405, No Obj: 0.000934, .5R: 1.000000, .75R: 0.606061, count: 33, class_loss = 0.212410, iou_loss = 0.172783, total_loss = 0.385192 \n", + " total_bbox = 1066451, rewritten_bbox = 2.667446 % \n", + "\n", + " 9610: 0.505196, 0.478609 avg loss, 0.000010 rate, 0.417409 seconds, 615040 images, 0.294056 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.806159 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784667, GIOU: 0.774453), Class: 0.999861, Obj: 0.793944, No Obj: 0.002513, .5R: 1.000000, .75R: 0.681818, count: 22, class_loss = 0.123880, iou_loss = 0.096659, total_loss = 0.220539 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735477, GIOU: 0.711243), Class: 0.991835, Obj: 0.590541, No Obj: 0.000725, .5R: 0.937500, .75R: 0.468750, count: 32, class_loss = 0.380453, iou_loss = 0.327229, total_loss = 0.707682 \n", + " total_bbox = 1066505, rewritten_bbox = 2.667592 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762957, GIOU: 0.752722), Class: 0.999597, Obj: 0.767232, No Obj: 0.002630, .5R: 1.000000, .75R: 0.565217, count: 23, class_loss = 0.165436, iou_loss = 0.166292, total_loss = 0.331728 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742039, GIOU: 0.720735), Class: 0.998139, Obj: 0.578543, No Obj: 0.000926, .5R: 0.947368, .75R: 0.578947, count: 38, class_loss = 0.451846, iou_loss = 0.411517, total_loss = 0.863362 \n", + " total_bbox = 1066566, rewritten_bbox = 2.667533 % \n", + "\n", + " 9611: 0.530828, 0.483830 avg loss, 0.000010 rate, 0.343576 seconds, 615104 images, 0.293218 hours left\n", + "Loaded: 2.075551 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807500, GIOU: 0.802965), Class: 0.999756, Obj: 0.728895, No Obj: 0.002614, .5R: 1.000000, .75R: 0.750000, count: 24, class_loss = 0.162313, iou_loss = 0.085016, total_loss = 0.247328 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753771, GIOU: 0.742267), Class: 0.998740, Obj: 0.675933, No Obj: 0.000926, .5R: 0.906250, .75R: 0.687500, count: 32, class_loss = 0.294760, iou_loss = 0.206389, total_loss = 0.501149 \n", + " total_bbox = 1066622, rewritten_bbox = 2.667580 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797889, GIOU: 0.791651), Class: 0.999694, Obj: 0.813057, No Obj: 0.002726, .5R: 1.000000, .75R: 0.869565, count: 23, class_loss = 0.089953, iou_loss = 0.103077, total_loss = 0.193030 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740972, GIOU: 0.735008), Class: 0.998736, Obj: 0.601896, No Obj: 0.000517, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.196011, iou_loss = 0.125791, total_loss = 0.321802 \n", + " total_bbox = 1066664, rewritten_bbox = 2.667663 % \n", + "\n", + " 9612: 0.315827, 0.467030 avg loss, 0.000010 rate, 0.298203 seconds, 615168 images, 0.292608 hours left\n", + "Loaded: 1.669136 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789844, GIOU: 0.780697), Class: 0.999827, Obj: 0.763782, No Obj: 0.003750, .5R: 1.000000, .75R: 0.696970, count: 33, class_loss = 0.218922, iou_loss = 0.186062, total_loss = 0.404984 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715008, GIOU: 0.697560), Class: 0.996768, Obj: 0.538008, No Obj: 0.000783, .5R: 0.933333, .75R: 0.433333, count: 30, class_loss = 0.438833, iou_loss = 0.335511, total_loss = 0.774344 \n", + " total_bbox = 1066727, rewritten_bbox = 2.667880 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763269, GIOU: 0.754059), Class: 0.999639, Obj: 0.664640, No Obj: 0.003501, .5R: 1.000000, .75R: 0.555556, count: 36, class_loss = 0.325558, iou_loss = 0.187939, total_loss = 0.513497 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779711, GIOU: 0.772154), Class: 0.999311, Obj: 0.720887, No Obj: 0.000730, .5R: 1.000000, .75R: 0.560000, count: 25, class_loss = 0.215516, iou_loss = 0.111690, total_loss = 0.327206 \n", + " total_bbox = 1066788, rewritten_bbox = 2.667822 % \n", + "\n", + " 9613: 0.505008, 0.470828 avg loss, 0.000010 rate, 0.421573 seconds, 615232 images, 0.292242 hours left\n", + "Loaded: 1.814504 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772911, GIOU: 0.762451), Class: 0.999463, Obj: 0.722985, No Obj: 0.004492, .5R: 0.955556, .75R: 0.666667, count: 45, class_loss = 0.356486, iou_loss = 0.302415, total_loss = 0.658901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.697573, GIOU: 0.681305), Class: 0.990985, Obj: 0.501574, No Obj: 0.000803, .5R: 0.941176, .75R: 0.382353, count: 34, class_loss = 0.538229, iou_loss = 0.335684, total_loss = 0.873912 \n", + " total_bbox = 1066867, rewritten_bbox = 2.667905 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777095, GIOU: 0.766575), Class: 0.999719, Obj: 0.805179, No Obj: 0.003789, .5R: 1.000000, .75R: 0.617647, count: 34, class_loss = 0.173096, iou_loss = 0.178353, total_loss = 0.351449 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781308, GIOU: 0.776672), Class: 0.997817, Obj: 0.549398, No Obj: 0.000825, .5R: 1.000000, .75R: 0.843750, count: 32, class_loss = 0.437667, iou_loss = 0.193418, total_loss = 0.631085 \n", + " total_bbox = 1066933, rewritten_bbox = 2.668021 % \n", + "\n", + " 9614: 0.628837, 0.486629 avg loss, 0.000010 rate, 0.311127 seconds, 615296 images, 0.291567 hours left\n", + "Loaded: 1.598077 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802929, GIOU: 0.796260), Class: 0.999529, Obj: 0.611749, No Obj: 0.003320, .5R: 1.000000, .75R: 0.800000, count: 30, class_loss = 0.350586, iou_loss = 0.120622, total_loss = 0.471208 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.672063, GIOU: 0.644374), Class: 0.996099, Obj: 0.435790, No Obj: 0.000373, .5R: 0.894737, .75R: 0.315789, count: 19, class_loss = 0.286194, iou_loss = 0.266266, total_loss = 0.552460 \n", + " total_bbox = 1066982, rewritten_bbox = 2.667993 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790196, GIOU: 0.783990), Class: 0.999497, Obj: 0.657478, No Obj: 0.003102, .5R: 1.000000, .75R: 0.714286, count: 28, class_loss = 0.334511, iou_loss = 0.132039, total_loss = 0.466549 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783548, GIOU: 0.777314), Class: 0.998891, Obj: 0.656394, No Obj: 0.000615, .5R: 0.956522, .75R: 0.739130, count: 23, class_loss = 0.236348, iou_loss = 0.106963, total_loss = 0.343311 \n", + " total_bbox = 1067033, rewritten_bbox = 2.667959 % \n", + "\n", + " 9615: 0.458382, 0.483804 avg loss, 0.000010 rate, 0.262606 seconds, 615360 images, 0.290930 hours left\n", + "Loaded: 1.789218 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792724, GIOU: 0.785636), Class: 0.999805, Obj: 0.799964, No Obj: 0.003510, .5R: 0.968750, .75R: 0.718750, count: 32, class_loss = 0.176075, iou_loss = 0.139078, total_loss = 0.315153 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751947, GIOU: 0.742455), Class: 0.998413, Obj: 0.508884, No Obj: 0.000781, .5R: 0.965517, .75R: 0.551724, count: 29, class_loss = 0.422451, iou_loss = 0.201906, total_loss = 0.624356 \n", + " total_bbox = 1067094, rewritten_bbox = 2.668087 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789471, GIOU: 0.779530), Class: 0.999707, Obj: 0.735722, No Obj: 0.003915, .5R: 1.000000, .75R: 0.750000, count: 36, class_loss = 0.243836, iou_loss = 0.212385, total_loss = 0.456220 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786639, GIOU: 0.778656), Class: 0.999002, Obj: 0.625363, No Obj: 0.000640, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.189449, iou_loss = 0.085586, total_loss = 0.275035 \n", + " total_bbox = 1067148, rewritten_bbox = 2.667952 % \n", + "\n", + " 9616: 0.417691, 0.477193 avg loss, 0.000010 rate, 0.325066 seconds, 615424 images, 0.290011 hours left\n", + "Loaded: 2.057848 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780480, GIOU: 0.772103), Class: 0.999752, Obj: 0.640286, No Obj: 0.003022, .5R: 1.000000, .75R: 0.580645, count: 31, class_loss = 0.290026, iou_loss = 0.144112, total_loss = 0.434138 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719582, GIOU: 0.708000), Class: 0.998336, Obj: 0.522640, No Obj: 0.000746, .5R: 1.000000, .75R: 0.379310, count: 29, class_loss = 0.454001, iou_loss = 0.270398, total_loss = 0.724398 \n", + " total_bbox = 1067208, rewritten_bbox = 2.668083 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806040, GIOU: 0.799519), Class: 0.999885, Obj: 0.795013, No Obj: 0.003275, .5R: 0.956522, .75R: 0.739130, count: 23, class_loss = 0.196226, iou_loss = 0.092391, total_loss = 0.288616 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757130, GIOU: 0.747587), Class: 0.998209, Obj: 0.392897, No Obj: 0.000652, .5R: 1.000000, .75R: 0.666667, count: 27, class_loss = 0.527484, iou_loss = 0.168308, total_loss = 0.695792 \n", + " total_bbox = 1067258, rewritten_bbox = 2.667958 % \n", + "\n", + " 9617: 0.535736, 0.483047 avg loss, 0.000010 rate, 0.303313 seconds, 615488 images, 0.289369 hours left\n", + "Loaded: 1.540997 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766705, GIOU: 0.760346), Class: 0.999547, Obj: 0.549442, No Obj: 0.002566, .5R: 1.000000, .75R: 0.576923, count: 26, class_loss = 0.328865, iou_loss = 0.126141, total_loss = 0.455006 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768424, GIOU: 0.759563), Class: 0.998852, Obj: 0.511099, No Obj: 0.000777, .5R: 1.000000, .75R: 0.594595, count: 37, class_loss = 0.465459, iou_loss = 0.217333, total_loss = 0.682792 \n", + " total_bbox = 1067321, rewritten_bbox = 2.667988 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760113, GIOU: 0.748778), Class: 0.999526, Obj: 0.651017, No Obj: 0.003772, .5R: 0.969697, .75R: 0.666667, count: 33, class_loss = 0.296345, iou_loss = 0.212890, total_loss = 0.509235 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767717, GIOU: 0.759138), Class: 0.999024, Obj: 0.610738, No Obj: 0.000648, .5R: 1.000000, .75R: 0.583333, count: 24, class_loss = 0.239403, iou_loss = 0.125852, total_loss = 0.365255 \n", + " total_bbox = 1067378, rewritten_bbox = 2.667940 % \n", + "\n", + " 9618: 0.503072, 0.485050 avg loss, 0.000010 rate, 0.251914 seconds, 615552 images, 0.288987 hours left\n", + "Loaded: 1.753416 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794156, GIOU: 0.790042), Class: 0.999718, Obj: 0.654278, No Obj: 0.003025, .5R: 1.000000, .75R: 0.750000, count: 20, class_loss = 0.216148, iou_loss = 0.085760, total_loss = 0.301908 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792714, GIOU: 0.784637), Class: 0.999313, Obj: 0.610510, No Obj: 0.000805, .5R: 1.000000, .75R: 0.677419, count: 31, class_loss = 0.337119, iou_loss = 0.131572, total_loss = 0.468692 \n", + " total_bbox = 1067429, rewritten_bbox = 2.667906 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800902, GIOU: 0.796315), Class: 0.999643, Obj: 0.751459, No Obj: 0.003730, .5R: 1.000000, .75R: 0.769231, count: 39, class_loss = 0.206113, iou_loss = 0.120988, total_loss = 0.327101 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756595, GIOU: 0.746291), Class: 0.995783, Obj: 0.415675, No Obj: 0.000636, .5R: 0.960000, .75R: 0.720000, count: 25, class_loss = 0.428728, iou_loss = 0.148617, total_loss = 0.577345 \n", + " total_bbox = 1067493, rewritten_bbox = 2.667840 % \n", + "\n", + " 9619: 0.418761, 0.478421 avg loss, 0.000010 rate, 0.271139 seconds, 615616 images, 0.288000 hours left\n", + "Loaded: 2.052354 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774691, GIOU: 0.765472), Class: 0.999430, Obj: 0.569646, No Obj: 0.003083, .5R: 1.000000, .75R: 0.612903, count: 31, class_loss = 0.379645, iou_loss = 0.192851, total_loss = 0.572496 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.717969, GIOU: 0.702742), Class: 0.992455, Obj: 0.574839, No Obj: 0.000946, .5R: 0.918919, .75R: 0.540541, count: 37, class_loss = 0.395286, iou_loss = 0.306737, total_loss = 0.702023 \n", + " total_bbox = 1067561, rewritten_bbox = 2.667857 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796882, GIOU: 0.791885), Class: 0.999446, Obj: 0.543432, No Obj: 0.002889, .5R: 1.000000, .75R: 0.730769, count: 26, class_loss = 0.355625, iou_loss = 0.113861, total_loss = 0.469486 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778315, GIOU: 0.773675), Class: 0.998711, Obj: 0.466728, No Obj: 0.000569, .5R: 1.000000, .75R: 0.650000, count: 20, class_loss = 0.326738, iou_loss = 0.102115, total_loss = 0.428853 \n", + " total_bbox = 1067607, rewritten_bbox = 2.667742 % \n", + "\n", + " 9620: 0.543215, 0.484900 avg loss, 0.000010 rate, 0.326028 seconds, 615680 images, 0.287264 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 480 x 480 \n", + " try to allocate additional workspace_size = 885.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000039 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800381, GIOU: 0.791302), Class: 0.999126, Obj: 0.623678, No Obj: 0.003173, .5R: 1.000000, .75R: 0.723404, count: 47, class_loss = 0.544000, iou_loss = 0.219639, total_loss = 0.763639 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744006, GIOU: 0.727052), Class: 0.999776, Obj: 0.768781, No Obj: 0.000101, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.037093, iou_loss = 0.039797, total_loss = 0.076890 \n", + " total_bbox = 1067660, rewritten_bbox = 2.667703 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803649, GIOU: 0.797943), Class: 0.999629, Obj: 0.740414, No Obj: 0.002536, .5R: 1.000000, .75R: 0.756757, count: 37, class_loss = 0.251371, iou_loss = 0.158419, total_loss = 0.409791 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.707571, GIOU: 0.682530), Class: 0.995912, Obj: 0.401068, No Obj: 0.000276, .5R: 0.900000, .75R: 0.400000, count: 20, class_loss = 0.360630, iou_loss = 0.237676, total_loss = 0.598306 \n", + " total_bbox = 1067717, rewritten_bbox = 2.667655 % \n", + "\n", + " 9621: 0.462156, 0.482626 avg loss, 0.000010 rate, 0.492095 seconds, 615744 images, 0.286905 hours left\n", + "Loaded: 1.805855 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.816558, GIOU: 0.809042), Class: 0.999005, Obj: 0.752938, No Obj: 0.002545, .5R: 1.000000, .75R: 0.800000, count: 35, class_loss = 0.281178, iou_loss = 0.132011, total_loss = 0.413188 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735453, GIOU: 0.698653), Class: 0.989686, Obj: 0.703977, No Obj: 0.000284, .5R: 0.900000, .75R: 0.650000, count: 20, class_loss = 0.161256, iou_loss = 0.307324, total_loss = 0.468581 \n", + " total_bbox = 1067772, rewritten_bbox = 2.667704 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786429, GIOU: 0.780410), Class: 0.999558, Obj: 0.692622, No Obj: 0.002520, .5R: 1.000000, .75R: 0.675000, count: 40, class_loss = 0.430997, iou_loss = 0.194893, total_loss = 0.625890 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748037, GIOU: 0.739038), Class: 0.999329, Obj: 0.480038, No Obj: 0.000219, .5R: 1.000000, .75R: 0.466667, count: 15, class_loss = 0.220047, iou_loss = 0.100126, total_loss = 0.320173 \n", + " total_bbox = 1067827, rewritten_bbox = 2.667754 % \n", + "\n", + " 9622: 0.456958, 0.480059 avg loss, 0.000010 rate, 0.638394 seconds, 615808 images, 0.284554 hours left\n", + "Loaded: 1.491778 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804163, GIOU: 0.797929), Class: 0.999558, Obj: 0.735172, No Obj: 0.002975, .5R: 1.000000, .75R: 0.812500, count: 48, class_loss = 0.326147, iou_loss = 0.190463, total_loss = 0.516610 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752841, GIOU: 0.739269), Class: 0.999090, Obj: 0.574046, No Obj: 0.000103, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.086714, iou_loss = 0.050337, total_loss = 0.137051 \n", + " total_bbox = 1067881, rewritten_bbox = 2.667713 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788939, GIOU: 0.781136), Class: 0.999568, Obj: 0.753937, No Obj: 0.002870, .5R: 1.000000, .75R: 0.692308, count: 39, class_loss = 0.235878, iou_loss = 0.220324, total_loss = 0.456203 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769427, GIOU: 0.758795), Class: 0.999895, Obj: 0.651154, No Obj: 0.000180, .5R: 1.000000, .75R: 0.700000, count: 10, class_loss = 0.109095, iou_loss = 0.045427, total_loss = 0.154522 \n", + " total_bbox = 1067930, rewritten_bbox = 2.667684 % \n", + "\n", + " 9623: 0.316097, 0.463663 avg loss, 0.000010 rate, 0.474559 seconds, 615872 images, 0.284275 hours left\n", + "Loaded: 1.619802 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786271, GIOU: 0.778799), Class: 0.999573, Obj: 0.741261, No Obj: 0.002774, .5R: 1.000000, .75R: 0.634146, count: 41, class_loss = 0.358048, iou_loss = 0.244997, total_loss = 0.603045 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714185, GIOU: 0.691800), Class: 0.995156, Obj: 0.591152, No Obj: 0.000286, .5R: 0.857143, .75R: 0.619048, count: 21, class_loss = 0.234467, iou_loss = 0.226735, total_loss = 0.461202 \n", + " total_bbox = 1067992, rewritten_bbox = 2.667904 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792571, GIOU: 0.786547), Class: 0.999210, Obj: 0.754069, No Obj: 0.002466, .5R: 0.970588, .75R: 0.764706, count: 34, class_loss = 0.252239, iou_loss = 0.164946, total_loss = 0.417185 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770378, GIOU: 0.759292), Class: 0.999385, Obj: 0.549307, No Obj: 0.000252, .5R: 0.950000, .75R: 0.600000, count: 20, class_loss = 0.205313, iou_loss = 0.114467, total_loss = 0.319780 \n", + " total_bbox = 1068046, rewritten_bbox = 2.667956 % \n", + "\n", + " 9624: 0.450303, 0.462327 avg loss, 0.000010 rate, 0.539310 seconds, 615936 images, 0.283495 hours left\n", + "Loaded: 1.931944 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786981, GIOU: 0.780123), Class: 0.999711, Obj: 0.776887, No Obj: 0.002717, .5R: 1.000000, .75R: 0.711111, count: 45, class_loss = 0.358366, iou_loss = 0.190842, total_loss = 0.549208 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729242, GIOU: 0.716051), Class: 0.999388, Obj: 0.551497, No Obj: 0.000183, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.168371, iou_loss = 0.095854, total_loss = 0.264225 \n", + " total_bbox = 1068101, rewritten_bbox = 2.668100 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800260, GIOU: 0.794544), Class: 0.999427, Obj: 0.647801, No Obj: 0.002037, .5R: 1.000000, .75R: 0.787879, count: 33, class_loss = 0.323103, iou_loss = 0.165654, total_loss = 0.488757 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769230, GIOU: 0.760934), Class: 0.998347, Obj: 0.457970, No Obj: 0.000170, .5R: 1.000000, .75R: 0.769231, count: 13, class_loss = 0.219843, iou_loss = 0.075584, total_loss = 0.295427 \n", + " total_bbox = 1068147, rewritten_bbox = 2.667985 % \n", + "\n", + " 9625: 0.399404, 0.456035 avg loss, 0.000010 rate, 0.473708 seconds, 616000 images, 0.282916 hours left\n", + "Loaded: 1.490593 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796583, GIOU: 0.791151), Class: 0.999564, Obj: 0.720813, No Obj: 0.002311, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.235251, iou_loss = 0.160067, total_loss = 0.395318 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780802, GIOU: 0.772162), Class: 0.996182, Obj: 0.498641, No Obj: 0.000257, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.256242, iou_loss = 0.126338, total_loss = 0.382580 \n", + " total_bbox = 1068197, rewritten_bbox = 2.667860 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799894, GIOU: 0.794335), Class: 0.999552, Obj: 0.652753, No Obj: 0.002483, .5R: 1.000000, .75R: 0.820513, count: 39, class_loss = 0.401397, iou_loss = 0.162778, total_loss = 0.564175 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769412, GIOU: 0.761333), Class: 0.999562, Obj: 0.612457, No Obj: 0.000256, .5R: 1.000000, .75R: 0.666667, count: 15, class_loss = 0.134075, iou_loss = 0.108576, total_loss = 0.242651 \n", + " total_bbox = 1068251, rewritten_bbox = 2.667819 % \n", + "\n", + " 9626: 0.396181, 0.450049 avg loss, 0.000010 rate, 0.591742 seconds, 616064 images, 0.282592 hours left\n", + "Loaded: 1.650646 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806645, GIOU: 0.801300), Class: 0.999640, Obj: 0.755105, No Obj: 0.002808, .5R: 0.977273, .75R: 0.795455, count: 44, class_loss = 0.303332, iou_loss = 0.199625, total_loss = 0.502956 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746186, GIOU: 0.734054), Class: 0.995142, Obj: 0.575774, No Obj: 0.000293, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.264238, iou_loss = 0.122590, total_loss = 0.386828 \n", + " total_bbox = 1068314, rewritten_bbox = 2.668036 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770054, GIOU: 0.762177), Class: 0.998682, Obj: 0.684167, No Obj: 0.003045, .5R: 0.976744, .75R: 0.720930, count: 43, class_loss = 0.395999, iou_loss = 0.235369, total_loss = 0.631367 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791481, GIOU: 0.785716), Class: 0.999328, Obj: 0.784420, No Obj: 0.000170, .5R: 1.000000, .75R: 0.900000, count: 10, class_loss = 0.069573, iou_loss = 0.048409, total_loss = 0.117982 \n", + " total_bbox = 1068367, rewritten_bbox = 2.667997 % \n", + "\n", + " 9627: 0.409783, 0.446023 avg loss, 0.000010 rate, 0.455416 seconds, 616128 images, 0.281932 hours left\n", + "Loaded: 1.493601 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792144, GIOU: 0.784061), Class: 0.999109, Obj: 0.739021, No Obj: 0.002903, .5R: 0.979592, .75R: 0.714286, count: 49, class_loss = 0.320134, iou_loss = 0.256355, total_loss = 0.576488 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766108, GIOU: 0.754748), Class: 0.998343, Obj: 0.653164, No Obj: 0.000296, .5R: 1.000000, .75R: 0.533333, count: 15, class_loss = 0.170020, iou_loss = 0.079850, total_loss = 0.249870 \n", + " total_bbox = 1068431, rewritten_bbox = 2.668025 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783733, GIOU: 0.776696), Class: 0.999669, Obj: 0.714414, No Obj: 0.002404, .5R: 0.973684, .75R: 0.657895, count: 38, class_loss = 0.265653, iou_loss = 0.237038, total_loss = 0.502690 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740232, GIOU: 0.721432), Class: 0.999182, Obj: 0.588144, No Obj: 0.000319, .5R: 0.909091, .75R: 0.636364, count: 22, class_loss = 0.294626, iou_loss = 0.198853, total_loss = 0.493479 \n", + " total_bbox = 1068491, rewritten_bbox = 2.668062 % \n", + "\n", + " 9628: 0.455632, 0.446984 avg loss, 0.000010 rate, 0.434021 seconds, 616192 images, 0.281298 hours left\n", + "Loaded: 1.556221 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785600, GIOU: 0.778346), Class: 0.999723, Obj: 0.734471, No Obj: 0.003188, .5R: 1.000000, .75R: 0.744681, count: 47, class_loss = 0.352443, iou_loss = 0.263966, total_loss = 0.616409 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801985, GIOU: 0.794585), Class: 0.999153, Obj: 0.748680, No Obj: 0.000263, .5R: 1.000000, .75R: 0.769231, count: 13, class_loss = 0.126925, iou_loss = 0.065693, total_loss = 0.192618 \n", + " total_bbox = 1068551, rewritten_bbox = 2.668099 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763938, GIOU: 0.753509), Class: 0.999295, Obj: 0.662732, No Obj: 0.002144, .5R: 1.000000, .75R: 0.473684, count: 38, class_loss = 0.334349, iou_loss = 0.245489, total_loss = 0.579838 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805331, GIOU: 0.800940), Class: 0.996430, Obj: 0.512338, No Obj: 0.000275, .5R: 1.000000, .75R: 0.800000, count: 15, class_loss = 0.261773, iou_loss = 0.052386, total_loss = 0.314159 \n", + " total_bbox = 1068604, rewritten_bbox = 2.668060 % \n", + "\n", + " 9629: 0.425756, 0.444861 avg loss, 0.000010 rate, 0.459103 seconds, 616256 images, 0.280477 hours left\n", + "Loaded: 1.575166 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796577, GIOU: 0.788465), Class: 0.999203, Obj: 0.645913, No Obj: 0.002953, .5R: 0.979167, .75R: 0.770833, count: 48, class_loss = 0.528417, iou_loss = 0.267724, total_loss = 0.796141 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.825011, GIOU: 0.817346), Class: 0.999545, Obj: 0.785727, No Obj: 0.000118, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.070283, iou_loss = 0.018145, total_loss = 0.088428 \n", + " total_bbox = 1068658, rewritten_bbox = 2.668300 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787286, GIOU: 0.778909), Class: 0.999225, Obj: 0.664478, No Obj: 0.002911, .5R: 0.978723, .75R: 0.702128, count: 47, class_loss = 0.471968, iou_loss = 0.259162, total_loss = 0.731130 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802729, GIOU: 0.787106), Class: 0.999480, Obj: 0.629311, No Obj: 0.000160, .5R: 0.900000, .75R: 0.800000, count: 10, class_loss = 0.083209, iou_loss = 0.064256, total_loss = 0.147465 \n", + " total_bbox = 1068715, rewritten_bbox = 2.668438 % \n", + "\n", + " 9630: 0.440791, 0.444454 avg loss, 0.000010 rate, 0.617760 seconds, 616320 images, 0.279750 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 480 x 480 \n", + " try to allocate additional workspace_size = 885.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 2.270998 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817020, GIOU: 0.813556), Class: 0.999561, Obj: 0.773253, No Obj: 0.003123, .5R: 1.000000, .75R: 0.851064, count: 47, class_loss = 0.246426, iou_loss = 0.198730, total_loss = 0.445156 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715680, GIOU: 0.702908), Class: 0.997672, Obj: 0.562226, No Obj: 0.000193, .5R: 0.933333, .75R: 0.533333, count: 15, class_loss = 0.198850, iou_loss = 0.188438, total_loss = 0.387288 \n", + " total_bbox = 1068777, rewritten_bbox = 2.668471 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792448, GIOU: 0.784286), Class: 0.999311, Obj: 0.687387, No Obj: 0.003309, .5R: 1.000000, .75R: 0.690909, count: 55, class_loss = 0.542053, iou_loss = 0.280060, total_loss = 0.822113 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774971, GIOU: 0.769132), Class: 0.999443, Obj: 0.767335, No Obj: 0.000300, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.106597, iou_loss = 0.077512, total_loss = 0.184109 \n", + " total_bbox = 1068847, rewritten_bbox = 2.668576 % \n", + "\n", + " 9631: 0.459667, 0.445975 avg loss, 0.000010 rate, 0.477674 seconds, 616384 images, 0.279207 hours left\n", + "Loaded: 2.186932 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789872, GIOU: 0.782752), Class: 0.999650, Obj: 0.791613, No Obj: 0.002812, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.239159, iou_loss = 0.185170, total_loss = 0.424329 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796183, GIOU: 0.787697), Class: 0.998673, Obj: 0.673384, No Obj: 0.000373, .5R: 1.000000, .75R: 0.666667, count: 21, class_loss = 0.174281, iou_loss = 0.098183, total_loss = 0.272463 \n", + " total_bbox = 1068912, rewritten_bbox = 2.668695 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794528, GIOU: 0.789258), Class: 0.999490, Obj: 0.755225, No Obj: 0.003198, .5R: 1.000000, .75R: 0.673913, count: 46, class_loss = 0.255362, iou_loss = 0.223308, total_loss = 0.478670 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748578, GIOU: 0.736215), Class: 0.999181, Obj: 0.629538, No Obj: 0.000241, .5R: 0.928571, .75R: 0.571429, count: 14, class_loss = 0.140465, iou_loss = 0.148397, total_loss = 0.288862 \n", + " total_bbox = 1068972, rewritten_bbox = 2.668639 % \n", + "\n", + " 9632: 0.366081, 0.437986 avg loss, 0.000010 rate, 0.487216 seconds, 616448 images, 0.279232 hours left\n", + "Loaded: 1.782205 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777094, GIOU: 0.766663), Class: 0.999128, Obj: 0.633879, No Obj: 0.002729, .5R: 0.975610, .75R: 0.707317, count: 41, class_loss = 0.454703, iou_loss = 0.297827, total_loss = 0.752530 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758565, GIOU: 0.744000), Class: 0.999481, Obj: 0.652581, No Obj: 0.000260, .5R: 1.000000, .75R: 0.571429, count: 14, class_loss = 0.159383, iou_loss = 0.100175, total_loss = 0.259558 \n", + " total_bbox = 1069027, rewritten_bbox = 2.668595 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800778, GIOU: 0.793852), Class: 0.999506, Obj: 0.629352, No Obj: 0.002537, .5R: 1.000000, .75R: 0.810811, count: 37, class_loss = 0.392785, iou_loss = 0.160977, total_loss = 0.553762 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766541, GIOU: 0.758935), Class: 0.997723, Obj: 0.740973, No Obj: 0.000373, .5R: 0.952381, .75R: 0.666667, count: 21, class_loss = 0.231504, iou_loss = 0.144411, total_loss = 0.375916 \n", + " total_bbox = 1069085, rewritten_bbox = 2.668544 % \n", + "\n", + " 9633: 0.485441, 0.442731 avg loss, 0.000010 rate, 0.442293 seconds, 616512 images, 0.279173 hours left\n", + "Loaded: 1.739083 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802716, GIOU: 0.796937), Class: 0.999688, Obj: 0.754087, No Obj: 0.002678, .5R: 0.975000, .75R: 0.750000, count: 40, class_loss = 0.285894, iou_loss = 0.214977, total_loss = 0.500871 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.821843, GIOU: 0.816917), Class: 0.999715, Obj: 0.530496, No Obj: 0.000271, .5R: 1.000000, .75R: 0.722222, count: 18, class_loss = 0.330140, iou_loss = 0.086684, total_loss = 0.416824 \n", + " total_bbox = 1069143, rewritten_bbox = 2.668586 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789341, GIOU: 0.781746), Class: 0.999598, Obj: 0.664156, No Obj: 0.002350, .5R: 1.000000, .75R: 0.634146, count: 41, class_loss = 0.347473, iou_loss = 0.215426, total_loss = 0.562899 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.799292, GIOU: 0.791113), Class: 0.999240, Obj: 0.497055, No Obj: 0.000127, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.081633, iou_loss = 0.022120, total_loss = 0.103753 \n", + " total_bbox = 1069190, rewritten_bbox = 2.668656 % \n", + "\n", + " 9634: 0.396086, 0.438067 avg loss, 0.000010 rate, 0.418911 seconds, 616576 images, 0.278649 hours left\n", + "Loaded: 1.772855 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794526, GIOU: 0.786519), Class: 0.999733, Obj: 0.704693, No Obj: 0.002214, .5R: 0.968750, .75R: 0.812500, count: 32, class_loss = 0.258917, iou_loss = 0.154385, total_loss = 0.413302 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788433, GIOU: 0.773815), Class: 0.993679, Obj: 0.612175, No Obj: 0.000226, .5R: 0.928571, .75R: 0.785714, count: 14, class_loss = 0.131320, iou_loss = 0.062672, total_loss = 0.193991 \n", + " total_bbox = 1069236, rewritten_bbox = 2.668541 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815499, GIOU: 0.810424), Class: 0.999471, Obj: 0.798120, No Obj: 0.003023, .5R: 1.000000, .75R: 0.863636, count: 44, class_loss = 0.248432, iou_loss = 0.144382, total_loss = 0.392814 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802189, GIOU: 0.795720), Class: 0.999735, Obj: 0.564354, No Obj: 0.000275, .5R: 1.000000, .75R: 0.611111, count: 18, class_loss = 0.198393, iou_loss = 0.106049, total_loss = 0.304442 \n", + " total_bbox = 1069298, rewritten_bbox = 2.668480 % \n", + "\n", + " 9635: 0.326137, 0.426874 avg loss, 0.000010 rate, 0.483866 seconds, 616640 images, 0.278057 hours left\n", + "Loaded: 1.891319 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757305, GIOU: 0.748898), Class: 0.999550, Obj: 0.680845, No Obj: 0.002712, .5R: 0.976744, .75R: 0.581395, count: 43, class_loss = 0.393219, iou_loss = 0.281328, total_loss = 0.674547 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782886, GIOU: 0.774603), Class: 0.998381, Obj: 0.604290, No Obj: 0.000252, .5R: 0.916667, .75R: 0.666667, count: 12, class_loss = 0.119562, iou_loss = 0.090854, total_loss = 0.210416 \n", + " total_bbox = 1069353, rewritten_bbox = 2.668342 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814835, GIOU: 0.808142), Class: 0.999584, Obj: 0.799831, No Obj: 0.002761, .5R: 1.000000, .75R: 0.852941, count: 34, class_loss = 0.243572, iou_loss = 0.117301, total_loss = 0.360872 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765419, GIOU: 0.756538), Class: 0.999085, Obj: 0.590506, No Obj: 0.000204, .5R: 0.916667, .75R: 0.583333, count: 12, class_loss = 0.149069, iou_loss = 0.110160, total_loss = 0.259228 \n", + " total_bbox = 1069399, rewritten_bbox = 2.668228 % \n", + "\n", + " 9636: 0.376266, 0.421813 avg loss, 0.000010 rate, 0.576347 seconds, 616704 images, 0.277564 hours left\n", + "Loaded: 1.492388 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813331, GIOU: 0.809001), Class: 0.999273, Obj: 0.703994, No Obj: 0.003613, .5R: 0.981481, .75R: 0.907407, count: 54, class_loss = 0.357847, iou_loss = 0.234897, total_loss = 0.592744 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738919, GIOU: 0.727531), Class: 0.999826, Obj: 0.713539, No Obj: 0.000135, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.073291, iou_loss = 0.054512, total_loss = 0.127803 \n", + " total_bbox = 1069460, rewritten_bbox = 2.668076 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810905, GIOU: 0.804595), Class: 0.999613, Obj: 0.710949, No Obj: 0.001978, .5R: 1.000000, .75R: 0.771429, count: 35, class_loss = 0.228290, iou_loss = 0.144376, total_loss = 0.372666 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.722620, GIOU: 0.688090), Class: 0.999246, Obj: 0.726974, No Obj: 0.000254, .5R: 0.916667, .75R: 0.666667, count: 12, class_loss = 0.133158, iou_loss = 0.153591, total_loss = 0.286749 \n", + " total_bbox = 1069507, rewritten_bbox = 2.668145 % \n", + "\n", + " 9637: 0.344990, 0.414131 avg loss, 0.000010 rate, 0.552016 seconds, 616768 images, 0.277284 hours left\n", + "Loaded: 1.712978 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799639, GIOU: 0.794819), Class: 0.999661, Obj: 0.771114, No Obj: 0.003443, .5R: 1.000000, .75R: 0.777778, count: 45, class_loss = 0.342212, iou_loss = 0.187747, total_loss = 0.529958 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735762, GIOU: 0.720696), Class: 0.999458, Obj: 0.660585, No Obj: 0.000256, .5R: 1.000000, .75R: 0.375000, count: 16, class_loss = 0.163678, iou_loss = 0.127827, total_loss = 0.291505 \n", + " total_bbox = 1069568, rewritten_bbox = 2.668180 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814882, GIOU: 0.809885), Class: 0.999626, Obj: 0.733047, No Obj: 0.002805, .5R: 1.000000, .75R: 0.833333, count: 36, class_loss = 0.261830, iou_loss = 0.136207, total_loss = 0.398037 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766687, GIOU: 0.760045), Class: 0.998801, Obj: 0.578068, No Obj: 0.000283, .5R: 0.941176, .75R: 0.588235, count: 17, class_loss = 0.179356, iou_loss = 0.119772, total_loss = 0.299127 \n", + " total_bbox = 1069621, rewritten_bbox = 2.668141 % \n", + "\n", + " 9638: 0.379657, 0.410683 avg loss, 0.000010 rate, 0.563145 seconds, 616832 images, 0.276572 hours left\n", + "Loaded: 1.711006 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786868, GIOU: 0.780095), Class: 0.999652, Obj: 0.657458, No Obj: 0.002036, .5R: 1.000000, .75R: 0.714286, count: 35, class_loss = 0.365590, iou_loss = 0.178497, total_loss = 0.544087 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776957, GIOU: 0.765193), Class: 0.999322, Obj: 0.801791, No Obj: 0.000278, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.094599, iou_loss = 0.101998, total_loss = 0.196597 \n", + " total_bbox = 1069670, rewritten_bbox = 2.668019 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812984, GIOU: 0.804777), Class: 0.999390, Obj: 0.727014, No Obj: 0.002562, .5R: 1.000000, .75R: 0.722222, count: 36, class_loss = 0.302688, iou_loss = 0.174958, total_loss = 0.477646 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771232, GIOU: 0.763321), Class: 0.999226, Obj: 0.572030, No Obj: 0.000238, .5R: 0.933333, .75R: 0.800000, count: 15, class_loss = 0.207691, iou_loss = 0.087384, total_loss = 0.295074 \n", + " total_bbox = 1069721, rewritten_bbox = 2.668172 % \n", + "\n", + " 9639: 0.378351, 0.407450 avg loss, 0.000010 rate, 0.504948 seconds, 616896 images, 0.276101 hours left\n", + "Loaded: 1.974440 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809640, GIOU: 0.804836), Class: 0.999691, Obj: 0.731326, No Obj: 0.002201, .5R: 1.000000, .75R: 0.771429, count: 35, class_loss = 0.290982, iou_loss = 0.152693, total_loss = 0.443675 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754618, GIOU: 0.747415), Class: 0.998077, Obj: 0.582133, No Obj: 0.000228, .5R: 1.000000, .75R: 0.666667, count: 12, class_loss = 0.147871, iou_loss = 0.065926, total_loss = 0.213797 \n", + " total_bbox = 1069768, rewritten_bbox = 2.668429 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754782, GIOU: 0.743023), Class: 0.999478, Obj: 0.636477, No Obj: 0.002923, .5R: 0.961538, .75R: 0.596154, count: 52, class_loss = 0.570770, iou_loss = 0.419910, total_loss = 0.990681 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.594573, GIOU: 0.565739), Class: 0.988028, Obj: 0.055022, No Obj: 0.000098, .5R: 0.666667, .75R: 0.333333, count: 3, class_loss = 0.117587, iou_loss = 0.045240, total_loss = 0.162826 \n", + " total_bbox = 1069823, rewritten_bbox = 2.668666 % \n", + "\n", + " 9640: 0.452745, 0.411980 avg loss, 0.000010 rate, 0.511741 seconds, 616960 images, 0.275563 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 384 x 384 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.887169 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761897, GIOU: 0.750214), Class: 0.999823, Obj: 0.717225, No Obj: 0.002693, .5R: 1.000000, .75R: 0.615385, count: 26, class_loss = 0.236683, iou_loss = 0.157097, total_loss = 0.393780 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766091, GIOU: 0.755047), Class: 0.998211, Obj: 0.601147, No Obj: 0.000713, .5R: 1.000000, .75R: 0.620690, count: 29, class_loss = 0.349834, iou_loss = 0.168177, total_loss = 0.518011 \n", + " total_bbox = 1069878, rewritten_bbox = 2.668622 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810371, GIOU: 0.802514), Class: 0.999590, Obj: 0.716184, No Obj: 0.003392, .5R: 1.000000, .75R: 0.800000, count: 35, class_loss = 0.303581, iou_loss = 0.124949, total_loss = 0.428530 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741151, GIOU: 0.713646), Class: 0.994245, Obj: 0.556266, No Obj: 0.000612, .5R: 0.888889, .75R: 0.592593, count: 27, class_loss = 0.377906, iou_loss = 0.454211, total_loss = 0.832117 \n", + " total_bbox = 1069940, rewritten_bbox = 2.668561 % \n", + "\n", + " 9641: 0.543109, 0.425093 avg loss, 0.000010 rate, 0.324474 seconds, 617024 images, 0.275296 hours left\n", + "Loaded: 1.901922 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773747, GIOU: 0.764187), Class: 0.999792, Obj: 0.804277, No Obj: 0.001883, .5R: 1.000000, .75R: 0.611111, count: 18, class_loss = 0.081138, iou_loss = 0.082563, total_loss = 0.163701 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716993, GIOU: 0.699937), Class: 0.998445, Obj: 0.580703, No Obj: 0.000505, .5R: 0.962963, .75R: 0.370370, count: 27, class_loss = 0.323581, iou_loss = 0.235532, total_loss = 0.559113 \n", + " total_bbox = 1069985, rewritten_bbox = 2.668729 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806482, GIOU: 0.799730), Class: 0.999830, Obj: 0.801816, No Obj: 0.002754, .5R: 1.000000, .75R: 0.785714, count: 28, class_loss = 0.173671, iou_loss = 0.132607, total_loss = 0.306278 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774741, GIOU: 0.764813), Class: 0.999705, Obj: 0.736949, No Obj: 0.000787, .5R: 0.965517, .75R: 0.758621, count: 29, class_loss = 0.143495, iou_loss = 0.155422, total_loss = 0.298917 \n", + " total_bbox = 1070042, rewritten_bbox = 2.668774 % \n", + "\n", + " 9642: 0.332002, 0.415784 avg loss, 0.000010 rate, 0.365068 seconds, 617088 images, 0.274748 hours left\n", + "Loaded: 1.957577 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775059, GIOU: 0.768553), Class: 0.999152, Obj: 0.741609, No Obj: 0.003762, .5R: 0.925000, .75R: 0.750000, count: 40, class_loss = 0.309377, iou_loss = 0.258184, total_loss = 0.567562 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742756, GIOU: 0.729138), Class: 0.998601, Obj: 0.453437, No Obj: 0.000389, .5R: 0.941176, .75R: 0.588235, count: 17, class_loss = 0.287668, iou_loss = 0.138352, total_loss = 0.426020 \n", + " total_bbox = 1070099, rewritten_bbox = 2.668818 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786359, GIOU: 0.779325), Class: 0.999713, Obj: 0.699444, No Obj: 0.002776, .5R: 1.000000, .75R: 0.720000, count: 25, class_loss = 0.267868, iou_loss = 0.125377, total_loss = 0.393246 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.787744, GIOU: 0.779833), Class: 0.999588, Obj: 0.673712, No Obj: 0.000623, .5R: 1.000000, .75R: 0.758621, count: 29, class_loss = 0.177900, iou_loss = 0.182915, total_loss = 0.360815 \n", + " total_bbox = 1070153, rewritten_bbox = 2.668871 % \n", + "\n", + " 9643: 0.436910, 0.417896 avg loss, 0.000010 rate, 0.324015 seconds, 617152 images, 0.274258 hours left\n", + "Loaded: 1.719881 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802415, GIOU: 0.793859), Class: 0.999797, Obj: 0.788764, No Obj: 0.002946, .5R: 1.000000, .75R: 0.892857, count: 28, class_loss = 0.168340, iou_loss = 0.103084, total_loss = 0.271423 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786036, GIOU: 0.778390), Class: 0.997902, Obj: 0.543893, No Obj: 0.000627, .5R: 1.000000, .75R: 0.645161, count: 31, class_loss = 0.388524, iou_loss = 0.161773, total_loss = 0.550298 \n", + " total_bbox = 1070212, rewritten_bbox = 2.668911 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796500, GIOU: 0.786720), Class: 0.999821, Obj: 0.718810, No Obj: 0.003442, .5R: 0.972973, .75R: 0.729730, count: 37, class_loss = 0.255101, iou_loss = 0.177376, total_loss = 0.432478 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783468, GIOU: 0.774658), Class: 0.997557, Obj: 0.672339, No Obj: 0.000667, .5R: 0.966667, .75R: 0.666667, count: 30, class_loss = 0.272712, iou_loss = 0.161016, total_loss = 0.433728 \n", + " total_bbox = 1070279, rewritten_bbox = 2.669491 % \n", + "\n", + " 9644: 0.421982, 0.418305 avg loss, 0.000010 rate, 0.353499 seconds, 617216 images, 0.273778 hours left\n", + "Loaded: 1.916452 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797015, GIOU: 0.790563), Class: 0.999608, Obj: 0.726203, No Obj: 0.003569, .5R: 1.000000, .75R: 0.666667, count: 39, class_loss = 0.232693, iou_loss = 0.161422, total_loss = 0.394115 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715612, GIOU: 0.685812), Class: 0.993803, Obj: 0.635223, No Obj: 0.000651, .5R: 0.928571, .75R: 0.571429, count: 28, class_loss = 0.310908, iou_loss = 0.319916, total_loss = 0.630824 \n", + " total_bbox = 1070346, rewritten_bbox = 2.669511 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779377, GIOU: 0.768819), Class: 0.999709, Obj: 0.733889, No Obj: 0.002270, .5R: 1.000000, .75R: 0.650000, count: 20, class_loss = 0.182181, iou_loss = 0.120712, total_loss = 0.302893 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785325, GIOU: 0.776309), Class: 0.999179, Obj: 0.698292, No Obj: 0.000464, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.175867, iou_loss = 0.077941, total_loss = 0.253808 \n", + " total_bbox = 1070384, rewritten_bbox = 2.669416 % \n", + "\n", + " 9645: 0.395410, 0.416015 avg loss, 0.000010 rate, 0.394453 seconds, 617280 images, 0.273090 hours left\n", + "Loaded: 1.865051 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765395, GIOU: 0.754834), Class: 0.999822, Obj: 0.801114, No Obj: 0.002788, .5R: 1.000000, .75R: 0.580645, count: 31, class_loss = 0.173060, iou_loss = 0.193664, total_loss = 0.366724 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730143, GIOU: 0.718276), Class: 0.999017, Obj: 0.583253, No Obj: 0.000568, .5R: 0.960000, .75R: 0.480000, count: 25, class_loss = 0.324138, iou_loss = 0.180966, total_loss = 0.505104 \n", + " total_bbox = 1070440, rewritten_bbox = 2.669463 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788826, GIOU: 0.781774), Class: 0.999677, Obj: 0.714827, No Obj: 0.003181, .5R: 0.971429, .75R: 0.771429, count: 35, class_loss = 0.308347, iou_loss = 0.231446, total_loss = 0.539792 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730161, GIOU: 0.719699), Class: 0.996912, Obj: 0.507981, No Obj: 0.000391, .5R: 0.947368, .75R: 0.684211, count: 19, class_loss = 0.244472, iou_loss = 0.273749, total_loss = 0.518221 \n", + " total_bbox = 1070494, rewritten_bbox = 2.669609 % \n", + "\n", + " 9646: 0.482460, 0.422660 avg loss, 0.000010 rate, 0.302634 seconds, 617344 images, 0.272638 hours left\n", + "Loaded: 1.730985 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788690, GIOU: 0.781787), Class: 0.999549, Obj: 0.743701, No Obj: 0.003214, .5R: 0.966667, .75R: 0.733333, count: 30, class_loss = 0.252404, iou_loss = 0.156421, total_loss = 0.408826 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761710, GIOU: 0.749914), Class: 0.996924, Obj: 0.506537, No Obj: 0.000526, .5R: 0.960000, .75R: 0.640000, count: 25, class_loss = 0.325171, iou_loss = 0.179355, total_loss = 0.504526 \n", + " total_bbox = 1070549, rewritten_bbox = 2.669658 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.744445, GIOU: 0.733533), Class: 0.999566, Obj: 0.614537, No Obj: 0.002349, .5R: 0.958333, .75R: 0.541667, count: 24, class_loss = 0.299636, iou_loss = 0.148987, total_loss = 0.448623 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783508, GIOU: 0.775423), Class: 0.999582, Obj: 0.619560, No Obj: 0.000467, .5R: 1.000000, .75R: 0.705882, count: 17, class_loss = 0.204628, iou_loss = 0.093100, total_loss = 0.297728 \n", + " total_bbox = 1070590, rewritten_bbox = 2.669556 % \n", + "\n", + " 9647: 0.414925, 0.421886 avg loss, 0.000010 rate, 0.331212 seconds, 617408 images, 0.272043 hours left\n", + "Loaded: 2.393279 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767229, GIOU: 0.757044), Class: 0.999564, Obj: 0.758943, No Obj: 0.002517, .5R: 1.000000, .75R: 0.518519, count: 27, class_loss = 0.148398, iou_loss = 0.126230, total_loss = 0.274628 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715344, GIOU: 0.689689), Class: 0.998151, Obj: 0.572433, No Obj: 0.000531, .5R: 0.909091, .75R: 0.454545, count: 22, class_loss = 0.243981, iou_loss = 0.209234, total_loss = 0.453215 \n", + " total_bbox = 1070639, rewritten_bbox = 2.669434 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790005, GIOU: 0.782246), Class: 0.999847, Obj: 0.761575, No Obj: 0.002055, .5R: 0.952381, .75R: 0.761905, count: 21, class_loss = 0.155793, iou_loss = 0.129582, total_loss = 0.285375 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764027, GIOU: 0.752593), Class: 0.998821, Obj: 0.574572, No Obj: 0.000552, .5R: 1.000000, .75R: 0.565217, count: 23, class_loss = 0.251226, iou_loss = 0.114161, total_loss = 0.365387 \n", + " total_bbox = 1070683, rewritten_bbox = 2.669511 % \n", + "\n", + " 9648: 0.344651, 0.414163 avg loss, 0.000010 rate, 0.361269 seconds, 617472 images, 0.271345 hours left\n", + "Loaded: 2.274624 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772711, GIOU: 0.766101), Class: 0.999746, Obj: 0.710285, No Obj: 0.003065, .5R: 0.937500, .75R: 0.656250, count: 32, class_loss = 0.261486, iou_loss = 0.181237, total_loss = 0.442723 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743928, GIOU: 0.734820), Class: 0.999287, Obj: 0.709685, No Obj: 0.000519, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.154588, iou_loss = 0.099104, total_loss = 0.253692 \n", + " total_bbox = 1070733, rewritten_bbox = 2.669386 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796840, GIOU: 0.787109), Class: 0.999442, Obj: 0.769901, No Obj: 0.003292, .5R: 0.972973, .75R: 0.783784, count: 37, class_loss = 0.248862, iou_loss = 0.210194, total_loss = 0.459056 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.798871, GIOU: 0.787473), Class: 0.997464, Obj: 0.605786, No Obj: 0.000666, .5R: 0.960000, .75R: 0.840000, count: 25, class_loss = 0.330988, iou_loss = 0.130931, total_loss = 0.461920 \n", + " total_bbox = 1070795, rewritten_bbox = 2.669605 % \n", + "\n", + " 9649: 0.404348, 0.413181 avg loss, 0.000010 rate, 0.311394 seconds, 617536 images, 0.271325 hours left\n", + "Loaded: 1.633596 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782668, GIOU: 0.773966), Class: 0.999572, Obj: 0.732912, No Obj: 0.002289, .5R: 1.000000, .75R: 0.666667, count: 27, class_loss = 0.190165, iou_loss = 0.169560, total_loss = 0.359725 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735666, GIOU: 0.724397), Class: 0.997977, Obj: 0.627229, No Obj: 0.000618, .5R: 0.961538, .75R: 0.500000, count: 26, class_loss = 0.279409, iou_loss = 0.240832, total_loss = 0.520241 \n", + " total_bbox = 1070848, rewritten_bbox = 2.669567 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754866, GIOU: 0.747673), Class: 0.999289, Obj: 0.559506, No Obj: 0.002841, .5R: 1.000000, .75R: 0.571429, count: 35, class_loss = 0.382761, iou_loss = 0.246417, total_loss = 0.629178 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.709263, GIOU: 0.681975), Class: 0.990875, Obj: 0.493255, No Obj: 0.000406, .5R: 0.954545, .75R: 0.590909, count: 22, class_loss = 0.344974, iou_loss = 0.209585, total_loss = 0.554559 \n", + " total_bbox = 1070905, rewritten_bbox = 2.669518 % \n", + "\n", + " 9650: 0.515925, 0.423456 avg loss, 0.000010 rate, 0.321021 seconds, 617600 images, 0.271133 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 576 x 576 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000041 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792387, GIOU: 0.785859), Class: 0.999253, Obj: 0.682161, No Obj: 0.002085, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.378009, iou_loss = 0.240313, total_loss = 0.618321 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792375, GIOU: 0.784163), Class: 0.998553, Obj: 0.589214, No Obj: 0.000111, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.115588, iou_loss = 0.051392, total_loss = 0.166980 \n", + " total_bbox = 1070956, rewritten_bbox = 2.669577 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789117, GIOU: 0.779878), Class: 0.998864, Obj: 0.610911, No Obj: 0.002082, .5R: 1.000000, .75R: 0.714286, count: 49, class_loss = 0.551148, iou_loss = 0.310246, total_loss = 0.861394 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757542, GIOU: 0.736390), Class: 0.999028, Obj: 0.447141, No Obj: 0.000118, .5R: 0.916667, .75R: 0.750000, count: 12, class_loss = 0.200053, iou_loss = 0.114641, total_loss = 0.314693 \n", + " total_bbox = 1071017, rewritten_bbox = 2.669425 % \n", + "\n", + " 9651: 0.490347, 0.430145 avg loss, 0.000010 rate, 0.733395 seconds, 617664 images, 0.270327 hours left\n", + "Loaded: 1.618642 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782987, GIOU: 0.774981), Class: 0.999561, Obj: 0.666935, No Obj: 0.002368, .5R: 0.978723, .75R: 0.702128, count: 47, class_loss = 0.477969, iou_loss = 0.299296, total_loss = 0.777266 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.825249, GIOU: 0.818624), Class: 0.999946, Obj: 0.545463, No Obj: 0.000044, .5R: 1.000000, .75R: 1.000000, count: 2, class_loss = 0.031139, iou_loss = 0.012091, total_loss = 0.043230 \n", + " total_bbox = 1071066, rewritten_bbox = 2.669490 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767935, GIOU: 0.759857), Class: 0.996803, Obj: 0.465756, No Obj: 0.002212, .5R: 1.000000, .75R: 0.588235, count: 51, class_loss = 0.967597, iou_loss = 0.414967, total_loss = 1.382564 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.826910, GIOU: 0.822576), Class: 0.999967, Obj: 0.518695, No Obj: 0.000074, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.081529, iou_loss = 0.026446, total_loss = 0.107975 \n", + " total_bbox = 1071124, rewritten_bbox = 2.669626 % \n", + "\n", + " 9652: 0.577759, 0.444906 avg loss, 0.000010 rate, 0.916349 seconds, 617728 images, 0.268335 hours left\n", + "Loaded: 1.767966 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778328, GIOU: 0.773094), Class: 0.999162, Obj: 0.570935, No Obj: 0.002032, .5R: 1.000000, .75R: 0.717391, count: 46, class_loss = 0.587579, iou_loss = 0.360646, total_loss = 0.948225 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.673182, GIOU: 0.651104), Class: 0.999159, Obj: 0.580234, No Obj: 0.000040, .5R: 1.000000, .75R: 0.000000, count: 4, class_loss = 0.054807, iou_loss = 0.049515, total_loss = 0.104322 \n", + " total_bbox = 1071174, rewritten_bbox = 2.669781 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768577, GIOU: 0.760091), Class: 0.999561, Obj: 0.670008, No Obj: 0.002067, .5R: 1.000000, .75R: 0.690476, count: 42, class_loss = 0.351983, iou_loss = 0.269834, total_loss = 0.621817 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759677, GIOU: 0.741612), Class: 0.999635, Obj: 0.549382, No Obj: 0.000099, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.092541, iou_loss = 0.082460, total_loss = 0.175001 \n", + " total_bbox = 1071226, rewritten_bbox = 2.669745 % \n", + "\n", + " 9653: 0.462341, 0.446650 avg loss, 0.000010 rate, 0.734770 seconds, 617792 images, 0.268102 hours left\n", + "Loaded: 1.719811 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784563, GIOU: 0.779233), Class: 0.999445, Obj: 0.637566, No Obj: 0.001779, .5R: 1.000000, .75R: 0.769231, count: 39, class_loss = 0.399069, iou_loss = 0.266277, total_loss = 0.665346 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.622606, GIOU: 0.597758), Class: 0.993046, Obj: 0.408433, No Obj: 0.000065, .5R: 0.714286, .75R: 0.285714, count: 7, class_loss = 0.122367, iou_loss = 0.117499, total_loss = 0.239866 \n", + " total_bbox = 1071272, rewritten_bbox = 2.669724 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781543, GIOU: 0.773736), Class: 0.999571, Obj: 0.749775, No Obj: 0.002531, .5R: 1.000000, .75R: 0.740741, count: 54, class_loss = 0.472959, iou_loss = 0.335341, total_loss = 0.808300 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759536, GIOU: 0.754180), Class: 0.999602, Obj: 0.561191, No Obj: 0.000104, .5R: 1.000000, .75R: 0.400000, count: 10, class_loss = 0.109606, iou_loss = 0.040169, total_loss = 0.149775 \n", + " total_bbox = 1071336, rewritten_bbox = 2.669844 % \n", + "\n", + " 9654: 0.465822, 0.448567 avg loss, 0.000010 rate, 0.714833 seconds, 617856 images, 0.267833 hours left\n", + "Loaded: 1.643009 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770197, GIOU: 0.763382), Class: 0.999205, Obj: 0.668303, No Obj: 0.002863, .5R: 0.983051, .75R: 0.593220, count: 59, class_loss = 0.612481, iou_loss = 0.397944, total_loss = 1.010425 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742300, GIOU: 0.738747), Class: 0.999707, Obj: 0.430803, No Obj: 0.000048, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.088484, iou_loss = 0.022278, total_loss = 0.110762 \n", + " total_bbox = 1071399, rewritten_bbox = 2.669967 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759393, GIOU: 0.747315), Class: 0.998820, Obj: 0.669599, No Obj: 0.002004, .5R: 0.955556, .75R: 0.555556, count: 45, class_loss = 0.460970, iou_loss = 0.312016, total_loss = 0.772986 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770968, GIOU: 0.756366), Class: 0.998524, Obj: 0.614781, No Obj: 0.000173, .5R: 0.947368, .75R: 0.631579, count: 19, class_loss = 0.189688, iou_loss = 0.155683, total_loss = 0.345371 \n", + " total_bbox = 1071463, rewritten_bbox = 2.669807 % \n", + "\n", + " 9655: 0.559886, 0.459699 avg loss, 0.000010 rate, 0.864928 seconds, 617920 images, 0.267495 hours left\n", + "Loaded: 1.631256 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793894, GIOU: 0.786842), Class: 0.999191, Obj: 0.643288, No Obj: 0.002278, .5R: 0.956522, .75R: 0.739130, count: 46, class_loss = 0.513435, iou_loss = 0.273507, total_loss = 0.786943 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.712718, GIOU: 0.699683), Class: 0.999537, Obj: 0.640829, No Obj: 0.000080, .5R: 1.000000, .75R: 0.250000, count: 4, class_loss = 0.069835, iou_loss = 0.033171, total_loss = 0.103006 \n", + " total_bbox = 1071513, rewritten_bbox = 2.669776 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791009, GIOU: 0.784419), Class: 0.999586, Obj: 0.546081, No Obj: 0.002218, .5R: 1.000000, .75R: 0.673913, count: 46, class_loss = 0.734539, iou_loss = 0.304956, total_loss = 1.039495 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.827452, GIOU: 0.824459), Class: 0.999496, Obj: 0.483444, No Obj: 0.000081, .5R: 1.000000, .75R: 1.000000, count: 9, class_loss = 0.121368, iou_loss = 0.027257, total_loss = 0.148625 \n", + " total_bbox = 1071568, rewritten_bbox = 2.669733 % \n", + "\n", + " 9656: 0.519517, 0.465681 avg loss, 0.000010 rate, 0.739034 seconds, 617984 images, 0.267225 hours left\n", + "Loaded: 1.993510 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779506, GIOU: 0.772541), Class: 0.999547, Obj: 0.586536, No Obj: 0.001801, .5R: 1.000000, .75R: 0.657895, count: 38, class_loss = 0.545871, iou_loss = 0.233742, total_loss = 0.779613 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756804, GIOU: 0.749783), Class: 0.999140, Obj: 0.503386, No Obj: 0.000103, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.152155, iou_loss = 0.089069, total_loss = 0.241225 \n", + " total_bbox = 1071616, rewritten_bbox = 2.669613 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795323, GIOU: 0.787459), Class: 0.999330, Obj: 0.673493, No Obj: 0.002389, .5R: 0.979167, .75R: 0.750000, count: 48, class_loss = 0.435009, iou_loss = 0.309552, total_loss = 0.744561 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769754, GIOU: 0.763288), Class: 0.999828, Obj: 0.616201, No Obj: 0.000071, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.079462, iou_loss = 0.050020, total_loss = 0.129482 \n", + " total_bbox = 1071671, rewritten_bbox = 2.669569 % \n", + "\n", + " 9657: 0.473720, 0.466485 avg loss, 0.000010 rate, 0.749821 seconds, 618048 images, 0.266818 hours left\n", + "Loaded: 1.718537 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780190, GIOU: 0.774492), Class: 0.999417, Obj: 0.725480, No Obj: 0.002429, .5R: 1.000000, .75R: 0.659574, count: 47, class_loss = 0.397185, iou_loss = 0.280819, total_loss = 0.678004 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760082, GIOU: 0.754519), Class: 0.998257, Obj: 0.402569, No Obj: 0.000170, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.347607, iou_loss = 0.093757, total_loss = 0.441364 \n", + " total_bbox = 1071732, rewritten_bbox = 2.669511 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794970, GIOU: 0.788192), Class: 0.999468, Obj: 0.688441, No Obj: 0.002948, .5R: 1.000000, .75R: 0.745763, count: 59, class_loss = 0.598867, iou_loss = 0.387365, total_loss = 0.986232 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784080, GIOU: 0.776988), Class: 0.999593, Obj: 0.589641, No Obj: 0.000112, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.090373, iou_loss = 0.047125, total_loss = 0.137498 \n", + " total_bbox = 1071800, rewritten_bbox = 2.669528 % \n", + "\n", + " 9658: 0.560774, 0.475914 avg loss, 0.000010 rate, 0.824539 seconds, 618112 images, 0.266763 hours left\n", + "Loaded: 1.835176 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806137, GIOU: 0.802066), Class: 0.999663, Obj: 0.702473, No Obj: 0.002778, .5R: 1.000000, .75R: 0.787234, count: 47, class_loss = 0.542830, iou_loss = 0.200494, total_loss = 0.743324 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768921, GIOU: 0.753476), Class: 0.999527, Obj: 0.476170, No Obj: 0.000069, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.103867, iou_loss = 0.035878, total_loss = 0.139745 \n", + " total_bbox = 1071854, rewritten_bbox = 2.669580 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810621, GIOU: 0.805243), Class: 0.999442, Obj: 0.702959, No Obj: 0.002887, .5R: 1.000000, .75R: 0.803571, count: 56, class_loss = 0.547898, iou_loss = 0.244292, total_loss = 0.792190 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760458, GIOU: 0.752092), Class: 0.999491, Obj: 0.360598, No Obj: 0.000054, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.106770, iou_loss = 0.060088, total_loss = 0.166857 \n", + " total_bbox = 1071916, rewritten_bbox = 2.669519 % \n", + "\n", + " 9659: 0.460529, 0.474375 avg loss, 0.000010 rate, 0.760683 seconds, 618176 images, 0.266512 hours left\n", + "Loaded: 2.205039 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790602, GIOU: 0.784652), Class: 0.999556, Obj: 0.699988, No Obj: 0.002894, .5R: 1.000000, .75R: 0.698413, count: 63, class_loss = 0.592333, iou_loss = 0.304651, total_loss = 0.896984 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757769, GIOU: 0.750369), Class: 0.999911, Obj: 0.468253, No Obj: 0.000119, .5R: 1.000000, .75R: 0.428571, count: 7, class_loss = 0.162363, iou_loss = 0.064508, total_loss = 0.226871 \n", + " total_bbox = 1071986, rewritten_bbox = 2.669345 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785659, GIOU: 0.772276), Class: 0.999379, Obj: 0.703804, No Obj: 0.002301, .5R: 0.979167, .75R: 0.666667, count: 48, class_loss = 0.448019, iou_loss = 0.414955, total_loss = 0.862974 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753890, GIOU: 0.748388), Class: 0.999565, Obj: 0.577960, No Obj: 0.000079, .5R: 1.000000, .75R: 0.375000, count: 8, class_loss = 0.084928, iou_loss = 0.049663, total_loss = 0.134591 \n", + " total_bbox = 1072042, rewritten_bbox = 2.669298 % \n", + "\n", + " 9660: 0.530355, 0.479973 avg loss, 0.000010 rate, 0.872709 seconds, 618240 images, 0.266306 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 480 x 480 \n", + " try to allocate additional workspace_size = 885.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.388588 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812990, GIOU: 0.807813), Class: 0.999704, Obj: 0.721932, No Obj: 0.002661, .5R: 1.000000, .75R: 0.805556, count: 36, class_loss = 0.289053, iou_loss = 0.148751, total_loss = 0.437803 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793225, GIOU: 0.781579), Class: 0.998307, Obj: 0.702539, No Obj: 0.000257, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.104999, iou_loss = 0.104788, total_loss = 0.209786 \n", + " total_bbox = 1072093, rewritten_bbox = 2.669358 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812635, GIOU: 0.807560), Class: 0.999743, Obj: 0.801388, No Obj: 0.002838, .5R: 1.000000, .75R: 0.790698, count: 43, class_loss = 0.221920, iou_loss = 0.171147, total_loss = 0.393067 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758762, GIOU: 0.746686), Class: 0.997580, Obj: 0.598972, No Obj: 0.000239, .5R: 1.000000, .75R: 0.461538, count: 13, class_loss = 0.171500, iou_loss = 0.089079, total_loss = 0.260579 \n", + " total_bbox = 1072149, rewritten_bbox = 2.669219 % \n", + "\n", + " 9661: 0.325309, 0.464507 avg loss, 0.000010 rate, 0.567666 seconds, 618304 images, 0.266550 hours left\n", + "Loaded: 1.671847 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811646, GIOU: 0.807631), Class: 0.999774, Obj: 0.835904, No Obj: 0.003282, .5R: 1.000000, .75R: 0.812500, count: 48, class_loss = 0.207488, iou_loss = 0.197281, total_loss = 0.404769 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792565, GIOU: 0.783854), Class: 0.999078, Obj: 0.606284, No Obj: 0.000249, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.174254, iou_loss = 0.072068, total_loss = 0.246322 \n", + " total_bbox = 1072210, rewritten_bbox = 2.669253 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814670, GIOU: 0.809193), Class: 0.999543, Obj: 0.735541, No Obj: 0.002894, .5R: 1.000000, .75R: 0.772727, count: 44, class_loss = 0.377962, iou_loss = 0.170735, total_loss = 0.548696 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780672, GIOU: 0.767417), Class: 0.999333, Obj: 0.628998, No Obj: 0.000211, .5R: 0.928571, .75R: 0.857143, count: 14, class_loss = 0.138829, iou_loss = 0.108751, total_loss = 0.247580 \n", + " total_bbox = 1072268, rewritten_bbox = 2.669389 % \n", + "\n", + " 9662: 0.361842, 0.454240 avg loss, 0.000010 rate, 0.515497 seconds, 618368 images, 0.265726 hours left\n", + "Loaded: 2.118108 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797377, GIOU: 0.790738), Class: 0.999391, Obj: 0.764068, No Obj: 0.003300, .5R: 1.000000, .75R: 0.787234, count: 47, class_loss = 0.343123, iou_loss = 0.199996, total_loss = 0.543119 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711047, GIOU: 0.699592), Class: 0.995316, Obj: 0.440377, No Obj: 0.000189, .5R: 0.857143, .75R: 0.428571, count: 14, class_loss = 0.216338, iou_loss = 0.161667, total_loss = 0.378005 \n", + " total_bbox = 1072329, rewritten_bbox = 2.669237 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764501, GIOU: 0.754855), Class: 0.999227, Obj: 0.678348, No Obj: 0.001822, .5R: 0.925926, .75R: 0.629630, count: 27, class_loss = 0.333352, iou_loss = 0.219264, total_loss = 0.552615 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805103, GIOU: 0.795827), Class: 0.999607, Obj: 0.606116, No Obj: 0.000187, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.126454, iou_loss = 0.045509, total_loss = 0.171963 \n", + " total_bbox = 1072367, rewritten_bbox = 2.669142 % \n", + "\n", + " 9663: 0.411426, 0.449959 avg loss, 0.000010 rate, 0.589900 seconds, 618432 images, 0.265123 hours left\n", + "Loaded: 1.816612 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799302, GIOU: 0.794165), Class: 0.999734, Obj: 0.697081, No Obj: 0.002688, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.378984, iou_loss = 0.191975, total_loss = 0.570959 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785346, GIOU: 0.780116), Class: 0.999053, Obj: 0.725661, No Obj: 0.000317, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.157899, iou_loss = 0.114951, total_loss = 0.272850 \n", + " total_bbox = 1072429, rewritten_bbox = 2.669174 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797668, GIOU: 0.790683), Class: 0.999199, Obj: 0.680982, No Obj: 0.003132, .5R: 1.000000, .75R: 0.674419, count: 43, class_loss = 0.383222, iou_loss = 0.225084, total_loss = 0.608305 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759073, GIOU: 0.753576), Class: 0.998449, Obj: 0.616634, No Obj: 0.000183, .5R: 0.923077, .75R: 0.615385, count: 13, class_loss = 0.144645, iou_loss = 0.096192, total_loss = 0.240838 \n", + " total_bbox = 1072485, rewritten_bbox = 2.669035 % \n", + "\n", + " 9664: 0.423238, 0.447287 avg loss, 0.000010 rate, 0.489663 seconds, 618496 images, 0.265012 hours left\n", + "Loaded: 1.628810 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768538, GIOU: 0.760876), Class: 0.999718, Obj: 0.679245, No Obj: 0.002265, .5R: 1.000000, .75R: 0.631579, count: 38, class_loss = 0.326205, iou_loss = 0.224811, total_loss = 0.551016 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754328, GIOU: 0.744917), Class: 0.998700, Obj: 0.440497, No Obj: 0.000220, .5R: 1.000000, .75R: 0.666667, count: 12, class_loss = 0.232065, iou_loss = 0.098559, total_loss = 0.330624 \n", + " total_bbox = 1072535, rewritten_bbox = 2.668911 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817542, GIOU: 0.813244), Class: 0.999826, Obj: 0.820719, No Obj: 0.002644, .5R: 1.000000, .75R: 0.842105, count: 38, class_loss = 0.259802, iou_loss = 0.115394, total_loss = 0.375196 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796768, GIOU: 0.789889), Class: 0.999836, Obj: 0.684603, No Obj: 0.000319, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.135113, iou_loss = 0.086881, total_loss = 0.221994 \n", + " total_bbox = 1072591, rewritten_bbox = 2.669051 % \n", + "\n", + " 9665: 0.369707, 0.439529 avg loss, 0.000010 rate, 0.466964 seconds, 618560 images, 0.264515 hours left\n", + "Loaded: 1.480394 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777411, GIOU: 0.767935), Class: 0.999460, Obj: 0.747715, No Obj: 0.002994, .5R: 1.000000, .75R: 0.653846, count: 52, class_loss = 0.451251, iou_loss = 0.285949, total_loss = 0.737201 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.421432, GIOU: 0.292934), Class: 0.960580, Obj: 0.272529, No Obj: 0.000075, .5R: 0.500000, .75R: 0.500000, count: 2, class_loss = 0.069261, iou_loss = 0.059753, total_loss = 0.129014 \n", + " total_bbox = 1072645, rewritten_bbox = 2.669196 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778466, GIOU: 0.770857), Class: 0.999267, Obj: 0.654236, No Obj: 0.002745, .5R: 1.000000, .75R: 0.600000, count: 40, class_loss = 0.441338, iou_loss = 0.193220, total_loss = 0.634558 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762965, GIOU: 0.756271), Class: 0.997049, Obj: 0.468799, No Obj: 0.000218, .5R: 1.000000, .75R: 0.583333, count: 12, class_loss = 0.226953, iou_loss = 0.074626, total_loss = 0.301579 \n", + " total_bbox = 1072697, rewritten_bbox = 2.669160 % \n", + "\n", + " 9666: 0.450588, 0.440635 avg loss, 0.000010 rate, 0.450889 seconds, 618624 images, 0.263821 hours left\n", + "Loaded: 1.855115 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789612, GIOU: 0.781306), Class: 0.999507, Obj: 0.742002, No Obj: 0.002720, .5R: 1.000000, .75R: 0.684211, count: 38, class_loss = 0.264444, iou_loss = 0.225502, total_loss = 0.489946 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749673, GIOU: 0.744308), Class: 0.998099, Obj: 0.553550, No Obj: 0.000219, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.242636, iou_loss = 0.070396, total_loss = 0.313031 \n", + " total_bbox = 1072746, rewritten_bbox = 2.669038 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786624, GIOU: 0.776856), Class: 0.999588, Obj: 0.720792, No Obj: 0.002829, .5R: 0.978261, .75R: 0.760870, count: 46, class_loss = 0.315914, iou_loss = 0.265510, total_loss = 0.581423 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765537, GIOU: 0.751994), Class: 0.995791, Obj: 0.601324, No Obj: 0.000334, .5R: 0.954545, .75R: 0.590909, count: 22, class_loss = 0.252325, iou_loss = 0.173490, total_loss = 0.425815 \n", + " total_bbox = 1072814, rewritten_bbox = 2.669055 % \n", + "\n", + " 9667: 0.452554, 0.441827 avg loss, 0.000010 rate, 0.571394 seconds, 618688 images, 0.262975 hours left\n", + "Loaded: 1.611122 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804654, GIOU: 0.800041), Class: 0.999654, Obj: 0.794591, No Obj: 0.003021, .5R: 1.000000, .75R: 0.800000, count: 50, class_loss = 0.298699, iou_loss = 0.193276, total_loss = 0.491975 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780939, GIOU: 0.773415), Class: 0.997348, Obj: 0.564132, No Obj: 0.000308, .5R: 1.000000, .75R: 0.647059, count: 17, class_loss = 0.239258, iou_loss = 0.112935, total_loss = 0.352193 \n", + " total_bbox = 1072881, rewritten_bbox = 2.669075 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815087, GIOU: 0.809246), Class: 0.999796, Obj: 0.828720, No Obj: 0.003041, .5R: 1.000000, .75R: 0.891304, count: 46, class_loss = 0.199920, iou_loss = 0.170620, total_loss = 0.370540 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767463, GIOU: 0.760864), Class: 0.994177, Obj: 0.492054, No Obj: 0.000173, .5R: 0.916667, .75R: 0.666667, count: 12, class_loss = 0.179086, iou_loss = 0.056908, total_loss = 0.235994 \n", + " total_bbox = 1072939, rewritten_bbox = 2.669304 % \n", + "\n", + " 9668: 0.362676, 0.433911 avg loss, 0.000010 rate, 0.432813 seconds, 618752 images, 0.262599 hours left\n", + "Loaded: 1.759552 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799656, GIOU: 0.794634), Class: 0.999701, Obj: 0.749877, No Obj: 0.003037, .5R: 1.000000, .75R: 0.800000, count: 40, class_loss = 0.329527, iou_loss = 0.195055, total_loss = 0.524582 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775757, GIOU: 0.763094), Class: 0.996727, Obj: 0.651124, No Obj: 0.000346, .5R: 1.000000, .75R: 0.590909, count: 22, class_loss = 0.229555, iou_loss = 0.104473, total_loss = 0.334028 \n", + " total_bbox = 1073001, rewritten_bbox = 2.669149 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777527, GIOU: 0.768361), Class: 0.999573, Obj: 0.760559, No Obj: 0.002824, .5R: 0.975610, .75R: 0.682927, count: 41, class_loss = 0.246930, iou_loss = 0.218012, total_loss = 0.464942 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742611, GIOU: 0.732591), Class: 0.995443, Obj: 0.559537, No Obj: 0.000212, .5R: 0.933333, .75R: 0.600000, count: 15, class_loss = 0.161861, iou_loss = 0.135107, total_loss = 0.296968 \n", + " total_bbox = 1073057, rewritten_bbox = 2.669103 % \n", + "\n", + " 9669: 0.405130, 0.431033 avg loss, 0.000010 rate, 0.460864 seconds, 618816 images, 0.261858 hours left\n", + "Loaded: 1.616714 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812439, GIOU: 0.807717), Class: 0.999383, Obj: 0.716280, No Obj: 0.002690, .5R: 0.977273, .75R: 0.840909, count: 44, class_loss = 0.395996, iou_loss = 0.201523, total_loss = 0.597519 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751003, GIOU: 0.742671), Class: 0.999031, Obj: 0.505196, No Obj: 0.000263, .5R: 1.000000, .75R: 0.625000, count: 16, class_loss = 0.262114, iou_loss = 0.124681, total_loss = 0.386795 \n", + " total_bbox = 1073117, rewritten_bbox = 2.669140 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805324, GIOU: 0.800527), Class: 0.999637, Obj: 0.788911, No Obj: 0.002774, .5R: 1.000000, .75R: 0.765957, count: 47, class_loss = 0.233606, iou_loss = 0.228184, total_loss = 0.461790 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773353, GIOU: 0.769821), Class: 0.999793, Obj: 0.638257, No Obj: 0.000288, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.191679, iou_loss = 0.077549, total_loss = 0.269228 \n", + " total_bbox = 1073178, rewritten_bbox = 2.669175 % \n", + "\n", + " 9670: 0.428833, 0.430813 avg loss, 0.000010 rate, 0.514710 seconds, 618880 images, 0.261281 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 480 x 480 \n", + " try to allocate additional workspace_size = 885.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.653405 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792428, GIOU: 0.785996), Class: 0.999556, Obj: 0.704793, No Obj: 0.002716, .5R: 1.000000, .75R: 0.744186, count: 43, class_loss = 0.374224, iou_loss = 0.179693, total_loss = 0.553917 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781263, GIOU: 0.772666), Class: 0.999243, Obj: 0.525967, No Obj: 0.000285, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.252916, iou_loss = 0.108147, total_loss = 0.361063 \n", + " total_bbox = 1073239, rewritten_bbox = 2.669024 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797452, GIOU: 0.790027), Class: 0.999573, Obj: 0.737376, No Obj: 0.002529, .5R: 1.000000, .75R: 0.756098, count: 41, class_loss = 0.268919, iou_loss = 0.246905, total_loss = 0.515824 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784402, GIOU: 0.776788), Class: 0.999690, Obj: 0.663859, No Obj: 0.000203, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.111829, iou_loss = 0.073197, total_loss = 0.185027 \n", + " total_bbox = 1073291, rewritten_bbox = 2.669267 % \n", + "\n", + " 9671: 0.403958, 0.428128 avg loss, 0.000010 rate, 0.560347 seconds, 618944 images, 0.260622 hours left\n", + "Loaded: 1.815568 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787383, GIOU: 0.780981), Class: 0.999655, Obj: 0.693446, No Obj: 0.003221, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.346335, iou_loss = 0.222830, total_loss = 0.569164 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757675, GIOU: 0.749407), Class: 0.998801, Obj: 0.532993, No Obj: 0.000289, .5R: 1.000000, .75R: 0.666667, count: 21, class_loss = 0.279189, iou_loss = 0.161597, total_loss = 0.440786 \n", + " total_bbox = 1073352, rewritten_bbox = 2.669115 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801935, GIOU: 0.793056), Class: 0.999143, Obj: 0.652584, No Obj: 0.002630, .5R: 1.000000, .75R: 0.820513, count: 39, class_loss = 0.384192, iou_loss = 0.168238, total_loss = 0.552431 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765378, GIOU: 0.759014), Class: 0.997889, Obj: 0.610733, No Obj: 0.000174, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.089787, iou_loss = 0.050947, total_loss = 0.140733 \n", + " total_bbox = 1073401, rewritten_bbox = 2.668993 % \n", + "\n", + " 9672: 0.425779, 0.427893 avg loss, 0.000010 rate, 0.544844 seconds, 619008 images, 0.260042 hours left\n", + "Loaded: 2.160178 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801344, GIOU: 0.793357), Class: 0.999651, Obj: 0.716042, No Obj: 0.002876, .5R: 0.976744, .75R: 0.813953, count: 43, class_loss = 0.313029, iou_loss = 0.235653, total_loss = 0.548682 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792161, GIOU: 0.784801), Class: 0.998630, Obj: 0.622287, No Obj: 0.000277, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.148330, iou_loss = 0.086973, total_loss = 0.235302 \n", + " total_bbox = 1073463, rewritten_bbox = 2.669025 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797970, GIOU: 0.791985), Class: 0.999328, Obj: 0.704554, No Obj: 0.002748, .5R: 1.000000, .75R: 0.742857, count: 35, class_loss = 0.353676, iou_loss = 0.182296, total_loss = 0.535972 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795488, GIOU: 0.790129), Class: 0.998861, Obj: 0.677137, No Obj: 0.000263, .5R: 1.000000, .75R: 0.833333, count: 18, class_loss = 0.164163, iou_loss = 0.098131, total_loss = 0.262294 \n", + " total_bbox = 1073516, rewritten_bbox = 2.668987 % \n", + "\n", + " 9673: 0.395562, 0.424660 avg loss, 0.000010 rate, 0.577245 seconds, 619072 images, 0.259592 hours left\n", + "Loaded: 1.421021 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815811, GIOU: 0.810641), Class: 0.999735, Obj: 0.750831, No Obj: 0.002777, .5R: 0.973684, .75R: 0.736842, count: 38, class_loss = 0.271759, iou_loss = 0.135903, total_loss = 0.407662 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805887, GIOU: 0.799876), Class: 0.999840, Obj: 0.691768, No Obj: 0.000256, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.133284, iou_loss = 0.063532, total_loss = 0.196815 \n", + " total_bbox = 1073565, rewritten_bbox = 2.668865 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790576, GIOU: 0.785142), Class: 0.999673, Obj: 0.742903, No Obj: 0.002891, .5R: 1.000000, .75R: 0.743590, count: 39, class_loss = 0.341259, iou_loss = 0.205185, total_loss = 0.546444 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776653, GIOU: 0.769761), Class: 0.998225, Obj: 0.577065, No Obj: 0.000278, .5R: 0.937500, .75R: 0.625000, count: 16, class_loss = 0.209735, iou_loss = 0.124209, total_loss = 0.333944 \n", + " total_bbox = 1073620, rewritten_bbox = 2.669008 % \n", + "\n", + " 9674: 0.371216, 0.419315 avg loss, 0.000010 rate, 0.513414 seconds, 619136 images, 0.259483 hours left\n", + "Loaded: 2.001226 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802786, GIOU: 0.793959), Class: 0.999637, Obj: 0.717751, No Obj: 0.002366, .5R: 1.000000, .75R: 0.750000, count: 36, class_loss = 0.315875, iou_loss = 0.155557, total_loss = 0.471433 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770379, GIOU: 0.758667), Class: 0.999874, Obj: 0.740746, No Obj: 0.000139, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.079241, iou_loss = 0.044081, total_loss = 0.123321 \n", + " total_bbox = 1073662, rewritten_bbox = 2.668903 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793830, GIOU: 0.784079), Class: 0.998999, Obj: 0.621234, No Obj: 0.002806, .5R: 1.000000, .75R: 0.717391, count: 46, class_loss = 0.507635, iou_loss = 0.267147, total_loss = 0.774782 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766000, GIOU: 0.757097), Class: 0.996398, Obj: 0.431766, No Obj: 0.000192, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.164219, iou_loss = 0.047217, total_loss = 0.211436 \n", + " total_bbox = 1073715, rewritten_bbox = 2.668865 % \n", + "\n", + " 9675: 0.395243, 0.416908 avg loss, 0.000010 rate, 0.570923 seconds, 619200 images, 0.258640 hours left\n", + "Loaded: 1.577579 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779337, GIOU: 0.769133), Class: 0.999542, Obj: 0.690485, No Obj: 0.002581, .5R: 0.972222, .75R: 0.638889, count: 36, class_loss = 0.290910, iou_loss = 0.237300, total_loss = 0.528210 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807156, GIOU: 0.799963), Class: 0.999218, Obj: 0.377371, No Obj: 0.000110, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.133987, iou_loss = 0.021943, total_loss = 0.155930 \n", + " total_bbox = 1073758, rewritten_bbox = 2.668758 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795176, GIOU: 0.788664), Class: 0.999624, Obj: 0.761124, No Obj: 0.002494, .5R: 1.000000, .75R: 0.764706, count: 34, class_loss = 0.190862, iou_loss = 0.139738, total_loss = 0.330599 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.812934, GIOU: 0.803752), Class: 0.999008, Obj: 0.559585, No Obj: 0.000224, .5R: 1.000000, .75R: 0.769231, count: 13, class_loss = 0.161009, iou_loss = 0.067060, total_loss = 0.228069 \n", + " total_bbox = 1073805, rewritten_bbox = 2.668827 % \n", + "\n", + " 9676: 0.310702, 0.406288 avg loss, 0.000010 rate, 0.494627 seconds, 619264 images, 0.258377 hours left\n", + "Loaded: 1.711754 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788035, GIOU: 0.781154), Class: 0.999612, Obj: 0.722776, No Obj: 0.003003, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.436452, iou_loss = 0.286693, total_loss = 0.723145 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803333, GIOU: 0.797729), Class: 0.999803, Obj: 0.706596, No Obj: 0.000278, .5R: 1.000000, .75R: 0.800000, count: 15, class_loss = 0.136116, iou_loss = 0.069135, total_loss = 0.205251 \n", + " total_bbox = 1073866, rewritten_bbox = 2.668769 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807746, GIOU: 0.802809), Class: 0.999638, Obj: 0.778127, No Obj: 0.002978, .5R: 1.000000, .75R: 0.700000, count: 40, class_loss = 0.258698, iou_loss = 0.168573, total_loss = 0.427271 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777867, GIOU: 0.769766), Class: 0.999609, Obj: 0.670225, No Obj: 0.000304, .5R: 1.000000, .75R: 0.684211, count: 19, class_loss = 0.197801, iou_loss = 0.118788, total_loss = 0.316589 \n", + " total_bbox = 1073925, rewritten_bbox = 2.668622 % \n", + "\n", + " 9677: 0.418064, 0.407465 avg loss, 0.000010 rate, 0.581955 seconds, 619328 images, 0.257658 hours left\n", + "Loaded: 1.939911 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795203, GIOU: 0.788161), Class: 0.999494, Obj: 0.753721, No Obj: 0.003146, .5R: 1.000000, .75R: 0.720000, count: 50, class_loss = 0.291884, iou_loss = 0.273528, total_loss = 0.565412 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806014, GIOU: 0.805074), Class: 0.999533, Obj: 0.585237, No Obj: 0.000163, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.132357, iou_loss = 0.019940, total_loss = 0.152297 \n", + " total_bbox = 1073981, rewritten_bbox = 2.668762 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782047, GIOU: 0.775539), Class: 0.999777, Obj: 0.728189, No Obj: 0.002579, .5R: 1.000000, .75R: 0.648649, count: 37, class_loss = 0.309634, iou_loss = 0.190824, total_loss = 0.500458 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783243, GIOU: 0.776558), Class: 0.998152, Obj: 0.515831, No Obj: 0.000321, .5R: 1.000000, .75R: 0.625000, count: 24, class_loss = 0.300889, iou_loss = 0.127489, total_loss = 0.428378 \n", + " total_bbox = 1074042, rewritten_bbox = 2.668797 % \n", + "\n", + " 9678: 0.411636, 0.407882 avg loss, 0.000010 rate, 0.619416 seconds, 619392 images, 0.257140 hours left\n", + "Loaded: 1.584344 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794570, GIOU: 0.788441), Class: 0.999509, Obj: 0.657294, No Obj: 0.002518, .5R: 1.000000, .75R: 0.769231, count: 39, class_loss = 0.392862, iou_loss = 0.209010, total_loss = 0.601873 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796429, GIOU: 0.793196), Class: 0.999631, Obj: 0.718430, No Obj: 0.000168, .5R: 1.000000, .75R: 0.909091, count: 11, class_loss = 0.103997, iou_loss = 0.046248, total_loss = 0.150246 \n", + " total_bbox = 1074092, rewritten_bbox = 2.668766 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787008, GIOU: 0.777580), Class: 0.999650, Obj: 0.641853, No Obj: 0.003203, .5R: 0.960000, .75R: 0.640000, count: 50, class_loss = 0.536056, iou_loss = 0.309586, total_loss = 0.845642 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734026, GIOU: 0.703354), Class: 0.999035, Obj: 0.606266, No Obj: 0.000146, .5R: 0.888889, .75R: 0.555556, count: 9, class_loss = 0.114903, iou_loss = 0.134964, total_loss = 0.249867 \n", + " total_bbox = 1074151, rewritten_bbox = 2.668712 % \n", + "\n", + " 9679: 0.461907, 0.413285 avg loss, 0.000010 rate, 0.591401 seconds, 619456 images, 0.256857 hours left\n", + "Loaded: 1.789746 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786685, GIOU: 0.779919), Class: 0.999419, Obj: 0.718006, No Obj: 0.002724, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.324234, iou_loss = 0.208025, total_loss = 0.532259 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.705417, GIOU: 0.691800), Class: 0.996159, Obj: 0.468631, No Obj: 0.000159, .5R: 1.000000, .75R: 0.384615, count: 13, class_loss = 0.222835, iou_loss = 0.150095, total_loss = 0.372930 \n", + " total_bbox = 1074202, rewritten_bbox = 2.668586 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.816085, GIOU: 0.809339), Class: 0.999270, Obj: 0.724074, No Obj: 0.002754, .5R: 1.000000, .75R: 0.775000, count: 40, class_loss = 0.291965, iou_loss = 0.212863, total_loss = 0.504827 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796548, GIOU: 0.788765), Class: 0.997991, Obj: 0.548564, No Obj: 0.000269, .5R: 1.000000, .75R: 0.750000, count: 20, class_loss = 0.233210, iou_loss = 0.092964, total_loss = 0.326174 \n", + " total_bbox = 1074262, rewritten_bbox = 2.668716 % \n", + "\n", + " 9680: 0.434048, 0.415361 avg loss, 0.000010 rate, 0.489017 seconds, 619520 images, 0.256231 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 384 x 384 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000044 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782387, GIOU: 0.775754), Class: 0.999721, Obj: 0.723495, No Obj: 0.002750, .5R: 1.000000, .75R: 0.689655, count: 29, class_loss = 0.237282, iou_loss = 0.123646, total_loss = 0.360928 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784739, GIOU: 0.774485), Class: 0.999323, Obj: 0.671956, No Obj: 0.000789, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.335663, iou_loss = 0.178984, total_loss = 0.514647 \n", + " total_bbox = 1074323, rewritten_bbox = 2.668844 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779591, GIOU: 0.773242), Class: 0.999734, Obj: 0.626897, No Obj: 0.002321, .5R: 1.000000, .75R: 0.583333, count: 24, class_loss = 0.312045, iou_loss = 0.113888, total_loss = 0.425933 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767476, GIOU: 0.756605), Class: 0.999603, Obj: 0.572468, No Obj: 0.000295, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.146902, iou_loss = 0.067194, total_loss = 0.214096 \n", + " total_bbox = 1074358, rewritten_bbox = 2.668756 % \n", + "\n", + " 9681: 0.378901, 0.411715 avg loss, 0.000010 rate, 0.339932 seconds, 619584 images, 0.255698 hours left\n", + "Loaded: 1.407917 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814047, GIOU: 0.808129), Class: 0.999747, Obj: 0.800341, No Obj: 0.003026, .5R: 1.000000, .75R: 0.758621, count: 29, class_loss = 0.178524, iou_loss = 0.102654, total_loss = 0.281178 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765090, GIOU: 0.756627), Class: 0.998738, Obj: 0.526082, No Obj: 0.000518, .5R: 0.956522, .75R: 0.652174, count: 23, class_loss = 0.323665, iou_loss = 0.164152, total_loss = 0.487817 \n", + " total_bbox = 1074410, rewritten_bbox = 2.668720 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783036, GIOU: 0.776132), Class: 0.999499, Obj: 0.623978, No Obj: 0.003507, .5R: 1.000000, .75R: 0.763158, count: 38, class_loss = 0.458141, iou_loss = 0.185652, total_loss = 0.643794 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780189, GIOU: 0.772930), Class: 0.998710, Obj: 0.613781, No Obj: 0.000572, .5R: 1.000000, .75R: 0.608696, count: 23, class_loss = 0.236486, iou_loss = 0.137048, total_loss = 0.373535 \n", + " total_bbox = 1074471, rewritten_bbox = 2.668662 % \n", + "\n", + " 9682: 0.446581, 0.415202 avg loss, 0.000010 rate, 0.354022 seconds, 619648 images, 0.253442 hours left\n", + "Loaded: 1.658430 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772286, GIOU: 0.766546), Class: 0.999413, Obj: 0.748418, No Obj: 0.002805, .5R: 1.000000, .75R: 0.777778, count: 27, class_loss = 0.178027, iou_loss = 0.135135, total_loss = 0.313162 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761262, GIOU: 0.753889), Class: 0.999399, Obj: 0.674495, No Obj: 0.000524, .5R: 1.000000, .75R: 0.650000, count: 20, class_loss = 0.180211, iou_loss = 0.131166, total_loss = 0.311378 \n", + " total_bbox = 1074518, rewritten_bbox = 2.668731 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804056, GIOU: 0.798625), Class: 0.999716, Obj: 0.724146, No Obj: 0.002743, .5R: 1.000000, .75R: 0.692308, count: 26, class_loss = 0.175299, iou_loss = 0.102585, total_loss = 0.277884 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757384, GIOU: 0.747622), Class: 0.999660, Obj: 0.625791, No Obj: 0.000744, .5R: 0.964286, .75R: 0.785714, count: 28, class_loss = 0.353407, iou_loss = 0.212670, total_loss = 0.566077 \n", + " total_bbox = 1074572, rewritten_bbox = 2.668783 % \n", + "\n", + " 9683: 0.367125, 0.410394 avg loss, 0.000010 rate, 0.367620 seconds, 619712 images, 0.252466 hours left\n", + "Loaded: 1.606048 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779207, GIOU: 0.773402), Class: 0.999815, Obj: 0.749038, No Obj: 0.003514, .5R: 1.000000, .75R: 0.750000, count: 36, class_loss = 0.248257, iou_loss = 0.179031, total_loss = 0.427288 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764837, GIOU: 0.751693), Class: 0.999252, Obj: 0.560591, No Obj: 0.000441, .5R: 0.875000, .75R: 0.625000, count: 16, class_loss = 0.198035, iou_loss = 0.105111, total_loss = 0.303145 \n", + " total_bbox = 1074624, rewritten_bbox = 2.668747 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762080, GIOU: 0.754215), Class: 0.999535, Obj: 0.559500, No Obj: 0.002276, .5R: 1.000000, .75R: 0.516129, count: 31, class_loss = 0.352173, iou_loss = 0.164582, total_loss = 0.516755 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.701517, GIOU: 0.665544), Class: 0.998809, Obj: 0.605308, No Obj: 0.000354, .5R: 0.833333, .75R: 0.666667, count: 12, class_loss = 0.163130, iou_loss = 0.195193, total_loss = 0.358322 \n", + " total_bbox = 1074667, rewritten_bbox = 2.668641 % \n", + "\n", + " 9684: 0.401378, 0.409492 avg loss, 0.000010 rate, 0.341908 seconds, 619776 images, 0.251726 hours left\n", + "Loaded: 1.856301 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785008, GIOU: 0.780320), Class: 0.999651, Obj: 0.625508, No Obj: 0.002905, .5R: 1.000000, .75R: 0.758621, count: 29, class_loss = 0.322666, iou_loss = 0.141065, total_loss = 0.463731 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781025, GIOU: 0.772950), Class: 0.991985, Obj: 0.522171, No Obj: 0.000575, .5R: 1.000000, .75R: 0.615385, count: 26, class_loss = 0.352775, iou_loss = 0.121599, total_loss = 0.474375 \n", + " total_bbox = 1074722, rewritten_bbox = 2.668690 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788858, GIOU: 0.783172), Class: 0.999726, Obj: 0.703639, No Obj: 0.002390, .5R: 1.000000, .75R: 0.708333, count: 24, class_loss = 0.225010, iou_loss = 0.103326, total_loss = 0.328336 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781444, GIOU: 0.774507), Class: 0.999262, Obj: 0.704070, No Obj: 0.000746, .5R: 1.000000, .75R: 0.642857, count: 28, class_loss = 0.279837, iou_loss = 0.160951, total_loss = 0.440788 \n", + " total_bbox = 1074774, rewritten_bbox = 2.668747 % \n", + "\n", + " 9685: 0.426807, 0.411224 avg loss, 0.000010 rate, 0.270831 seconds, 619840 images, 0.250919 hours left\n", + "Loaded: 1.827495 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790146, GIOU: 0.782411), Class: 0.999765, Obj: 0.767690, No Obj: 0.003473, .5R: 1.000000, .75R: 0.705882, count: 34, class_loss = 0.227766, iou_loss = 0.153503, total_loss = 0.381269 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747728, GIOU: 0.735291), Class: 0.998983, Obj: 0.606346, No Obj: 0.000531, .5R: 0.956522, .75R: 0.565217, count: 23, class_loss = 0.261712, iou_loss = 0.188413, total_loss = 0.450125 \n", + " total_bbox = 1074831, rewritten_bbox = 2.668699 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771940, GIOU: 0.765258), Class: 0.999531, Obj: 0.731138, No Obj: 0.003204, .5R: 1.000000, .75R: 0.655172, count: 29, class_loss = 0.202706, iou_loss = 0.146000, total_loss = 0.348707 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756919, GIOU: 0.749064), Class: 0.999331, Obj: 0.630332, No Obj: 0.000519, .5R: 1.000000, .75R: 0.611111, count: 18, class_loss = 0.191592, iou_loss = 0.122949, total_loss = 0.314541 \n", + " total_bbox = 1074878, rewritten_bbox = 2.668675 % \n", + "\n", + " 9686: 0.373660, 0.407468 avg loss, 0.000010 rate, 0.307843 seconds, 619904 images, 0.250271 hours left\n", + "Loaded: 1.661834 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788855, GIOU: 0.780707), Class: 0.999722, Obj: 0.727292, No Obj: 0.002857, .5R: 1.000000, .75R: 0.692308, count: 26, class_loss = 0.231317, iou_loss = 0.134493, total_loss = 0.365810 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764618, GIOU: 0.754263), Class: 0.999569, Obj: 0.706350, No Obj: 0.000754, .5R: 0.970588, .75R: 0.617647, count: 34, class_loss = 0.254116, iou_loss = 0.236144, total_loss = 0.490260 \n", + " total_bbox = 1074938, rewritten_bbox = 2.668805 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788118, GIOU: 0.779471), Class: 0.999663, Obj: 0.670829, No Obj: 0.003326, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.413172, iou_loss = 0.191724, total_loss = 0.604896 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735022, GIOU: 0.697204), Class: 0.999011, Obj: 0.594507, No Obj: 0.000626, .5R: 0.923077, .75R: 0.615385, count: 26, class_loss = 0.321737, iou_loss = 0.507201, total_loss = 0.828938 \n", + " total_bbox = 1075002, rewritten_bbox = 2.668925 % \n", + "\n", + " 9687: 0.572476, 0.423968 avg loss, 0.000010 rate, 0.327080 seconds, 619968 images, 0.249631 hours left\n", + "Loaded: 1.874224 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802350, GIOU: 0.795446), Class: 0.999767, Obj: 0.805455, No Obj: 0.003937, .5R: 1.000000, .75R: 0.763158, count: 38, class_loss = 0.229881, iou_loss = 0.128980, total_loss = 0.358861 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738505, GIOU: 0.723093), Class: 0.992505, Obj: 0.650233, No Obj: 0.000780, .5R: 0.968750, .75R: 0.562500, count: 32, class_loss = 0.425950, iou_loss = 0.267911, total_loss = 0.693861 \n", + " total_bbox = 1075072, rewritten_bbox = 2.668844 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811856, GIOU: 0.807961), Class: 0.999820, Obj: 0.874684, No Obj: 0.002583, .5R: 1.000000, .75R: 0.818182, count: 22, class_loss = 0.131334, iou_loss = 0.068416, total_loss = 0.199750 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.815974, GIOU: 0.809921), Class: 0.999150, Obj: 0.686517, No Obj: 0.000649, .5R: 1.000000, .75R: 0.814815, count: 27, class_loss = 0.242070, iou_loss = 0.099280, total_loss = 0.341350 \n", + " total_bbox = 1075121, rewritten_bbox = 2.668723 % \n", + "\n", + " 9688: 0.398455, 0.421417 avg loss, 0.000010 rate, 0.366271 seconds, 620032 images, 0.248863 hours left\n", + "Loaded: 1.555263 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764277, GIOU: 0.753656), Class: 0.999754, Obj: 0.768072, No Obj: 0.002181, .5R: 1.000000, .75R: 0.521739, count: 23, class_loss = 0.122880, iou_loss = 0.131126, total_loss = 0.254006 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759843, GIOU: 0.750977), Class: 0.999128, Obj: 0.550061, No Obj: 0.000574, .5R: 1.000000, .75R: 0.636364, count: 22, class_loss = 0.329417, iou_loss = 0.124518, total_loss = 0.453935 \n", + " total_bbox = 1075166, rewritten_bbox = 2.668704 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802597, GIOU: 0.796292), Class: 0.999574, Obj: 0.742243, No Obj: 0.003407, .5R: 1.000000, .75R: 0.805556, count: 36, class_loss = 0.255557, iou_loss = 0.145256, total_loss = 0.400813 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751372, GIOU: 0.734951), Class: 0.992123, Obj: 0.559152, No Obj: 0.000594, .5R: 0.965517, .75R: 0.620690, count: 29, class_loss = 0.357869, iou_loss = 0.306353, total_loss = 0.664222 \n", + " total_bbox = 1075231, rewritten_bbox = 2.668636 % \n", + "\n", + " 9689: 0.443244, 0.423600 avg loss, 0.000010 rate, 0.295585 seconds, 620096 images, 0.248317 hours left\n", + "Loaded: 1.970472 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812513, GIOU: 0.805890), Class: 0.999895, Obj: 0.817807, No Obj: 0.002547, .5R: 1.000000, .75R: 0.833333, count: 24, class_loss = 0.179348, iou_loss = 0.074385, total_loss = 0.253733 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768354, GIOU: 0.758760), Class: 0.998916, Obj: 0.630180, No Obj: 0.000564, .5R: 1.000000, .75R: 0.629630, count: 27, class_loss = 0.296174, iou_loss = 0.155019, total_loss = 0.451193 \n", + " total_bbox = 1075282, rewritten_bbox = 2.668788 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779896, GIOU: 0.772582), Class: 0.999634, Obj: 0.727236, No Obj: 0.003952, .5R: 1.000000, .75R: 0.604651, count: 43, class_loss = 0.354336, iou_loss = 0.252469, total_loss = 0.606805 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729847, GIOU: 0.708801), Class: 0.997558, Obj: 0.556764, No Obj: 0.000336, .5R: 0.875000, .75R: 0.562500, count: 16, class_loss = 0.212873, iou_loss = 0.158141, total_loss = 0.371014 \n", + " total_bbox = 1075341, rewritten_bbox = 2.669014 % \n", + "\n", + " 9690: 0.420686, 0.423308 avg loss, 0.000010 rate, 0.360123 seconds, 620160 images, 0.247432 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000105 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792311, GIOU: 0.787446), Class: 0.999623, Obj: 0.811246, No Obj: 0.002949, .5R: 0.979592, .75R: 0.734694, count: 49, class_loss = 0.265330, iou_loss = 0.240576, total_loss = 0.505906 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758139, GIOU: 0.747047), Class: 0.999664, Obj: 0.506629, No Obj: 0.000180, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.177710, iou_loss = 0.072877, total_loss = 0.250588 \n", + " total_bbox = 1075400, rewritten_bbox = 2.669146 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797100, GIOU: 0.791546), Class: 0.999554, Obj: 0.803255, No Obj: 0.002205, .5R: 0.971429, .75R: 0.857143, count: 35, class_loss = 0.185662, iou_loss = 0.159409, total_loss = 0.345072 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759361, GIOU: 0.749601), Class: 0.999608, Obj: 0.575972, No Obj: 0.000217, .5R: 1.000000, .75R: 0.533333, count: 15, class_loss = 0.175981, iou_loss = 0.117504, total_loss = 0.293485 \n", + " total_bbox = 1075450, rewritten_bbox = 2.669208 % \n", + "\n", + " 9691: 0.348763, 0.415854 avg loss, 0.000010 rate, 0.553388 seconds, 620224 images, 0.246971 hours left\n", + "Loaded: 1.660831 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796956, GIOU: 0.791690), Class: 0.999738, Obj: 0.765782, No Obj: 0.002416, .5R: 1.000000, .75R: 0.812500, count: 48, class_loss = 0.316088, iou_loss = 0.195992, total_loss = 0.512080 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731438, GIOU: 0.678974), Class: 0.986636, Obj: 0.645962, No Obj: 0.000207, .5R: 0.923077, .75R: 0.692308, count: 13, class_loss = 0.135542, iou_loss = 0.144185, total_loss = 0.279727 \n", + " total_bbox = 1075511, rewritten_bbox = 2.669150 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804062, GIOU: 0.797635), Class: 0.999375, Obj: 0.595291, No Obj: 0.002965, .5R: 1.000000, .75R: 0.760870, count: 46, class_loss = 0.543765, iou_loss = 0.256139, total_loss = 0.799904 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.697888, GIOU: 0.639187), Class: 0.987279, Obj: 0.503606, No Obj: 0.000217, .5R: 0.812500, .75R: 0.687500, count: 16, class_loss = 0.241408, iou_loss = 0.188615, total_loss = 0.430024 \n", + " total_bbox = 1075573, rewritten_bbox = 2.668996 % \n", + "\n", + " 9692: 0.505434, 0.424812 avg loss, 0.000010 rate, 0.542609 seconds, 620288 images, 0.244977 hours left\n", + "Loaded: 1.832115 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784540, GIOU: 0.773290), Class: 0.999380, Obj: 0.735376, No Obj: 0.003240, .5R: 1.000000, .75R: 0.666667, count: 51, class_loss = 0.478335, iou_loss = 0.293205, total_loss = 0.771540 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711563, GIOU: 0.694021), Class: 0.997793, Obj: 0.415071, No Obj: 0.000182, .5R: 0.937500, .75R: 0.500000, count: 16, class_loss = 0.297973, iou_loss = 0.136929, total_loss = 0.434902 \n", + " total_bbox = 1075640, rewritten_bbox = 2.668923 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775257, GIOU: 0.769037), Class: 0.999551, Obj: 0.670348, No Obj: 0.002470, .5R: 0.977778, .75R: 0.622222, count: 45, class_loss = 0.417226, iou_loss = 0.261692, total_loss = 0.678918 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759539, GIOU: 0.753207), Class: 0.999776, Obj: 0.764213, No Obj: 0.000248, .5R: 1.000000, .75R: 0.625000, count: 16, class_loss = 0.093849, iou_loss = 0.114689, total_loss = 0.208538 \n", + " total_bbox = 1075701, rewritten_bbox = 2.669143 % \n", + "\n", + " 9693: 0.523474, 0.434678 avg loss, 0.000010 rate, 0.552988 seconds, 620352 images, 0.244415 hours left\n", + "Loaded: 1.644110 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785317, GIOU: 0.775809), Class: 0.999648, Obj: 0.687392, No Obj: 0.002707, .5R: 0.978723, .75R: 0.723404, count: 47, class_loss = 0.538282, iou_loss = 0.215371, total_loss = 0.753653 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792226, GIOU: 0.785283), Class: 0.999808, Obj: 0.714176, No Obj: 0.000151, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.072136, iou_loss = 0.024924, total_loss = 0.097059 \n", + " total_bbox = 1075756, rewritten_bbox = 2.669193 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.822271, GIOU: 0.818209), Class: 0.999447, Obj: 0.662972, No Obj: 0.002024, .5R: 1.000000, .75R: 0.705882, count: 34, class_loss = 0.397132, iou_loss = 0.143930, total_loss = 0.541062 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.710397, GIOU: 0.697096), Class: 0.998857, Obj: 0.313112, No Obj: 0.000060, .5R: 1.000000, .75R: 0.400000, count: 5, class_loss = 0.094204, iou_loss = 0.051403, total_loss = 0.145607 \n", + " total_bbox = 1075795, rewritten_bbox = 2.669096 % \n", + "\n", + " 9694: 0.384345, 0.429645 avg loss, 0.000010 rate, 0.541628 seconds, 620416 images, 0.244009 hours left\n", + "Loaded: 2.045086 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773314, GIOU: 0.767897), Class: 0.999415, Obj: 0.629507, No Obj: 0.002245, .5R: 0.976191, .75R: 0.571429, count: 42, class_loss = 0.443961, iou_loss = 0.305753, total_loss = 0.749713 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743570, GIOU: 0.738718), Class: 0.997796, Obj: 0.440690, No Obj: 0.000130, .5R: 0.900000, .75R: 0.500000, count: 10, class_loss = 0.167266, iou_loss = 0.070213, total_loss = 0.237479 \n", + " total_bbox = 1075847, rewritten_bbox = 2.668967 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794624, GIOU: 0.789369), Class: 0.999092, Obj: 0.710020, No Obj: 0.002672, .5R: 0.958333, .75R: 0.791667, count: 48, class_loss = 0.351356, iou_loss = 0.279170, total_loss = 0.630526 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754487, GIOU: 0.741852), Class: 0.995607, Obj: 0.455495, No Obj: 0.000148, .5R: 1.000000, .75R: 0.666667, count: 12, class_loss = 0.204712, iou_loss = 0.078337, total_loss = 0.283049 \n", + " total_bbox = 1075907, rewritten_bbox = 2.668911 % \n", + "\n", + " 9695: 0.475192, 0.434200 avg loss, 0.000010 rate, 0.617755 seconds, 620480 images, 0.243430 hours left\n", + "Loaded: 1.737925 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815539, GIOU: 0.811147), Class: 0.999649, Obj: 0.656872, No Obj: 0.002410, .5R: 1.000000, .75R: 0.756098, count: 41, class_loss = 0.427651, iou_loss = 0.178113, total_loss = 0.605764 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.818557, GIOU: 0.814777), Class: 0.996106, Obj: 0.633217, No Obj: 0.000186, .5R: 1.000000, .75R: 0.916667, count: 12, class_loss = 0.136225, iou_loss = 0.045032, total_loss = 0.181256 \n", + " total_bbox = 1075960, rewritten_bbox = 2.668872 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781644, GIOU: 0.774031), Class: 0.999328, Obj: 0.642482, No Obj: 0.001958, .5R: 0.977778, .75R: 0.666667, count: 45, class_loss = 0.411539, iou_loss = 0.271510, total_loss = 0.683049 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730555, GIOU: 0.717543), Class: 0.999040, Obj: 0.755994, No Obj: 0.000138, .5R: 1.000000, .75R: 0.142857, count: 7, class_loss = 0.049046, iou_loss = 0.040483, total_loss = 0.089529 \n", + " total_bbox = 1076012, rewritten_bbox = 2.669022 % \n", + "\n", + " 9696: 0.389899, 0.429770 avg loss, 0.000010 rate, 0.565413 seconds, 620544 images, 0.243252 hours left\n", + "Loaded: 1.577689 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789850, GIOU: 0.782173), Class: 0.999670, Obj: 0.739319, No Obj: 0.002143, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.290293, iou_loss = 0.207073, total_loss = 0.497367 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.653421, GIOU: 0.623210), Class: 0.996260, Obj: 0.489518, No Obj: 0.000182, .5R: 0.846154, .75R: 0.230769, count: 13, class_loss = 0.202896, iou_loss = 0.222526, total_loss = 0.425422 \n", + " total_bbox = 1076063, rewritten_bbox = 2.668896 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781947, GIOU: 0.771465), Class: 0.999231, Obj: 0.718621, No Obj: 0.002530, .5R: 1.000000, .75R: 0.674419, count: 43, class_loss = 0.353284, iou_loss = 0.245090, total_loss = 0.598374 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.723207, GIOU: 0.709227), Class: 0.998680, Obj: 0.497329, No Obj: 0.000173, .5R: 0.875000, .75R: 0.625000, count: 16, class_loss = 0.226168, iou_loss = 0.181036, total_loss = 0.407204 \n", + " total_bbox = 1076122, rewritten_bbox = 2.668935 % \n", + "\n", + " 9697: 0.482092, 0.435002 avg loss, 0.000010 rate, 0.685330 seconds, 620608 images, 0.242765 hours left\n", + "Loaded: 1.532206 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781788, GIOU: 0.773463), Class: 0.999529, Obj: 0.614663, No Obj: 0.002527, .5R: 1.000000, .75R: 0.642857, count: 42, class_loss = 0.436866, iou_loss = 0.225647, total_loss = 0.662513 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772282, GIOU: 0.763813), Class: 0.998487, Obj: 0.554423, No Obj: 0.000188, .5R: 1.000000, .75R: 0.666667, count: 15, class_loss = 0.156510, iou_loss = 0.091409, total_loss = 0.247918 \n", + " total_bbox = 1076179, rewritten_bbox = 2.668794 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.826903, GIOU: 0.820535), Class: 0.999225, Obj: 0.717994, No Obj: 0.002376, .5R: 1.000000, .75R: 0.800000, count: 40, class_loss = 0.334700, iou_loss = 0.140877, total_loss = 0.475577 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.822331, GIOU: 0.816913), Class: 0.999748, Obj: 0.563117, No Obj: 0.000187, .5R: 1.000000, .75R: 0.916667, count: 12, class_loss = 0.190536, iou_loss = 0.051783, total_loss = 0.242319 \n", + " total_bbox = 1076231, rewritten_bbox = 2.668758 % \n", + "\n", + " 9698: 0.407082, 0.432210 avg loss, 0.000010 rate, 0.604157 seconds, 620672 images, 0.242242 hours left\n", + "Loaded: 1.606317 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807397, GIOU: 0.801534), Class: 0.999368, Obj: 0.682980, No Obj: 0.002547, .5R: 1.000000, .75R: 0.809524, count: 42, class_loss = 0.395831, iou_loss = 0.215627, total_loss = 0.611459 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780837, GIOU: 0.775780), Class: 0.999253, Obj: 0.726458, No Obj: 0.000118, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.072762, iou_loss = 0.052569, total_loss = 0.125331 \n", + " total_bbox = 1076281, rewritten_bbox = 2.668820 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792662, GIOU: 0.785717), Class: 0.999748, Obj: 0.715608, No Obj: 0.002727, .5R: 0.954545, .75R: 0.750000, count: 44, class_loss = 0.439853, iou_loss = 0.247538, total_loss = 0.687390 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.799310, GIOU: 0.788519), Class: 0.997607, Obj: 0.647372, No Obj: 0.000220, .5R: 0.933333, .75R: 0.733333, count: 15, class_loss = 0.166825, iou_loss = 0.070421, total_loss = 0.237245 \n", + " total_bbox = 1076340, rewritten_bbox = 2.668766 % \n", + "\n", + " 9699: 0.415356, 0.430524 avg loss, 0.000010 rate, 0.535454 seconds, 620736 images, 0.241614 hours left\n", + "Loaded: 1.608572 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805650, GIOU: 0.800167), Class: 0.999611, Obj: 0.770129, No Obj: 0.002831, .5R: 0.980000, .75R: 0.800000, count: 50, class_loss = 0.312502, iou_loss = 0.268255, total_loss = 0.580756 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801569, GIOU: 0.796582), Class: 0.999294, Obj: 0.471975, No Obj: 0.000124, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.119912, iou_loss = 0.042355, total_loss = 0.162267 \n", + " total_bbox = 1076397, rewritten_bbox = 2.668904 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762643, GIOU: 0.752285), Class: 0.999281, Obj: 0.739828, No Obj: 0.002734, .5R: 0.953488, .75R: 0.674419, count: 43, class_loss = 0.331817, iou_loss = 0.372314, total_loss = 0.704131 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741451, GIOU: 0.728630), Class: 0.995674, Obj: 0.530603, No Obj: 0.000229, .5R: 0.933333, .75R: 0.600000, count: 15, class_loss = 0.235928, iou_loss = 0.110927, total_loss = 0.346855 \n", + " total_bbox = 1076455, rewritten_bbox = 2.668760 % \n", + "\n", + " 9700: 0.448502, 0.432322 avg loss, 0.000010 rate, 0.542617 seconds, 620800 images, 0.240989 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 384 x 384 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.813039 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798367, GIOU: 0.790730), Class: 0.999255, Obj: 0.698223, No Obj: 0.003772, .5R: 1.000000, .75R: 0.744186, count: 43, class_loss = 0.346641, iou_loss = 0.205111, total_loss = 0.551753 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.723622, GIOU: 0.712763), Class: 0.999301, Obj: 0.684240, No Obj: 0.000388, .5R: 0.800000, .75R: 0.700000, count: 10, class_loss = 0.088487, iou_loss = 0.060620, total_loss = 0.149107 \n", + " total_bbox = 1076508, rewritten_bbox = 2.668628 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.756866, GIOU: 0.745796), Class: 0.999717, Obj: 0.739544, No Obj: 0.003156, .5R: 0.935484, .75R: 0.580645, count: 31, class_loss = 0.224496, iou_loss = 0.176418, total_loss = 0.400914 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760435, GIOU: 0.751394), Class: 0.999118, Obj: 0.534218, No Obj: 0.000607, .5R: 1.000000, .75R: 0.629630, count: 27, class_loss = 0.401915, iou_loss = 0.177854, total_loss = 0.579769 \n", + " total_bbox = 1076566, rewritten_bbox = 2.668485 % \n", + "\n", + " 9701: 0.420385, 0.431129 avg loss, 0.000010 rate, 0.325578 seconds, 620864 images, 0.240371 hours left\n", + "Loaded: 1.747249 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806830, GIOU: 0.800553), Class: 0.999731, Obj: 0.688308, No Obj: 0.003346, .5R: 1.000000, .75R: 0.714286, count: 35, class_loss = 0.309294, iou_loss = 0.147438, total_loss = 0.456732 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743285, GIOU: 0.730478), Class: 0.998392, Obj: 0.505560, No Obj: 0.000395, .5R: 1.000000, .75R: 0.437500, count: 16, class_loss = 0.254789, iou_loss = 0.119333, total_loss = 0.374122 \n", + " total_bbox = 1076617, rewritten_bbox = 2.668358 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813458, GIOU: 0.808051), Class: 0.999580, Obj: 0.697357, No Obj: 0.003235, .5R: 1.000000, .75R: 0.777778, count: 27, class_loss = 0.322080, iou_loss = 0.125987, total_loss = 0.448067 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791150, GIOU: 0.784939), Class: 0.999171, Obj: 0.708106, No Obj: 0.000651, .5R: 1.000000, .75R: 0.666667, count: 27, class_loss = 0.180570, iou_loss = 0.122292, total_loss = 0.302862 \n", + " total_bbox = 1076671, rewritten_bbox = 2.668317 % \n", + "\n", + " 9702: 0.395446, 0.427560 avg loss, 0.000010 rate, 0.330388 seconds, 620928 images, 0.239744 hours left\n", + "Loaded: 1.542556 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779612, GIOU: 0.771761), Class: 0.999281, Obj: 0.688173, No Obj: 0.003332, .5R: 1.000000, .75R: 0.571429, count: 35, class_loss = 0.324361, iou_loss = 0.190059, total_loss = 0.514420 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783163, GIOU: 0.776945), Class: 0.999090, Obj: 0.808402, No Obj: 0.000508, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.115243, iou_loss = 0.103184, total_loss = 0.218427 \n", + " total_bbox = 1076724, rewritten_bbox = 2.668372 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769595, GIOU: 0.762969), Class: 0.999598, Obj: 0.608457, No Obj: 0.002494, .5R: 1.000000, .75R: 0.645161, count: 31, class_loss = 0.347681, iou_loss = 0.189082, total_loss = 0.536763 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795646, GIOU: 0.791070), Class: 0.999661, Obj: 0.747656, No Obj: 0.000552, .5R: 1.000000, .75R: 0.772727, count: 22, class_loss = 0.157264, iou_loss = 0.108670, total_loss = 0.265934 \n", + " total_bbox = 1076777, rewritten_bbox = 2.668333 % \n", + "\n", + " 9703: 0.383886, 0.423193 avg loss, 0.000010 rate, 0.403441 seconds, 620992 images, 0.239066 hours left\n", + "Loaded: 1.591013 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.752120, GIOU: 0.742511), Class: 0.999746, Obj: 0.743808, No Obj: 0.001901, .5R: 1.000000, .75R: 0.562500, count: 16, class_loss = 0.188540, iou_loss = 0.092610, total_loss = 0.281149 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770110, GIOU: 0.763059), Class: 0.999223, Obj: 0.643978, No Obj: 0.000845, .5R: 1.000000, .75R: 0.682927, count: 41, class_loss = 0.429678, iou_loss = 0.257681, total_loss = 0.687359 \n", + " total_bbox = 1076834, rewritten_bbox = 2.668471 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801255, GIOU: 0.794309), Class: 0.999698, Obj: 0.767815, No Obj: 0.004206, .5R: 1.000000, .75R: 0.723404, count: 47, class_loss = 0.300180, iou_loss = 0.195682, total_loss = 0.495862 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740869, GIOU: 0.728441), Class: 0.998262, Obj: 0.514929, No Obj: 0.000527, .5R: 0.952381, .75R: 0.571429, count: 21, class_loss = 0.322653, iou_loss = 0.229947, total_loss = 0.552600 \n", + " total_bbox = 1076902, rewritten_bbox = 2.668581 % \n", + "\n", + " 9704: 0.504242, 0.431298 avg loss, 0.000010 rate, 0.350282 seconds, 621056 images, 0.238281 hours left\n", + "Loaded: 1.809996 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.758791, GIOU: 0.748704), Class: 0.999536, Obj: 0.580438, No Obj: 0.002853, .5R: 1.000000, .75R: 0.529412, count: 34, class_loss = 0.461157, iou_loss = 0.226216, total_loss = 0.687374 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.811223, GIOU: 0.804079), Class: 0.999678, Obj: 0.797744, No Obj: 0.000479, .5R: 1.000000, .75R: 0.823529, count: 17, class_loss = 0.092142, iou_loss = 0.096130, total_loss = 0.188272 \n", + " total_bbox = 1076953, rewritten_bbox = 2.668547 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792499, GIOU: 0.783528), Class: 0.999695, Obj: 0.775055, No Obj: 0.003474, .5R: 1.000000, .75R: 0.800000, count: 35, class_loss = 0.246125, iou_loss = 0.150729, total_loss = 0.396854 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779169, GIOU: 0.771450), Class: 0.998837, Obj: 0.627729, No Obj: 0.000454, .5R: 1.000000, .75R: 0.588235, count: 17, class_loss = 0.157906, iou_loss = 0.088145, total_loss = 0.246051 \n", + " total_bbox = 1077005, rewritten_bbox = 2.668511 % \n", + "\n", + " 9705: 0.379638, 0.426132 avg loss, 0.000010 rate, 0.277055 seconds, 621120 images, 0.237494 hours left\n", + "Loaded: 1.930947 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786135, GIOU: 0.782559), Class: 0.999645, Obj: 0.645843, No Obj: 0.002987, .5R: 1.000000, .75R: 0.730769, count: 26, class_loss = 0.329477, iou_loss = 0.142077, total_loss = 0.471554 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769648, GIOU: 0.760239), Class: 0.997932, Obj: 0.580268, No Obj: 0.000573, .5R: 1.000000, .75R: 0.478261, count: 23, class_loss = 0.284568, iou_loss = 0.114579, total_loss = 0.399147 \n", + " total_bbox = 1077054, rewritten_bbox = 2.668483 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774734, GIOU: 0.766123), Class: 0.999683, Obj: 0.791613, No Obj: 0.003067, .5R: 1.000000, .75R: 0.680000, count: 25, class_loss = 0.175976, iou_loss = 0.127607, total_loss = 0.303583 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759739, GIOU: 0.749985), Class: 0.999484, Obj: 0.569433, No Obj: 0.000358, .5R: 1.000000, .75R: 0.529412, count: 17, class_loss = 0.188431, iou_loss = 0.098934, total_loss = 0.287365 \n", + " total_bbox = 1077096, rewritten_bbox = 2.668472 % \n", + "\n", + " 9706: 0.365412, 0.420060 avg loss, 0.000010 rate, 0.375871 seconds, 621184 images, 0.236830 hours left\n", + "Loaded: 1.940041 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778073, GIOU: 0.767978), Class: 0.999125, Obj: 0.733318, No Obj: 0.003386, .5R: 0.966667, .75R: 0.733333, count: 30, class_loss = 0.229833, iou_loss = 0.179282, total_loss = 0.409115 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769852, GIOU: 0.763329), Class: 0.998716, Obj: 0.440134, No Obj: 0.000491, .5R: 1.000000, .75R: 0.652174, count: 23, class_loss = 0.398559, iou_loss = 0.137304, total_loss = 0.535862 \n", + " total_bbox = 1077149, rewritten_bbox = 2.668340 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.819366, GIOU: 0.814076), Class: 0.999743, Obj: 0.778963, No Obj: 0.003578, .5R: 1.000000, .75R: 0.775000, count: 40, class_loss = 0.195523, iou_loss = 0.152643, total_loss = 0.348165 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725567, GIOU: 0.714639), Class: 0.997871, Obj: 0.596128, No Obj: 0.000826, .5R: 1.000000, .75R: 0.421053, count: 38, class_loss = 0.393685, iou_loss = 0.300881, total_loss = 0.694566 \n", + " total_bbox = 1077227, rewritten_bbox = 2.668611 % \n", + "\n", + " 9707: 0.496927, 0.427747 avg loss, 0.000010 rate, 0.286810 seconds, 621248 images, 0.236345 hours left\n", + "Loaded: 1.815430 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810426, GIOU: 0.805732), Class: 0.999093, Obj: 0.665174, No Obj: 0.004072, .5R: 1.000000, .75R: 0.815789, count: 38, class_loss = 0.310375, iou_loss = 0.146767, total_loss = 0.457141 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809968, GIOU: 0.802291), Class: 0.999568, Obj: 0.723578, No Obj: 0.000546, .5R: 1.000000, .75R: 0.800000, count: 20, class_loss = 0.144502, iou_loss = 0.096541, total_loss = 0.241043 \n", + " total_bbox = 1077285, rewritten_bbox = 2.668468 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764029, GIOU: 0.746861), Class: 0.999698, Obj: 0.715403, No Obj: 0.003303, .5R: 0.921053, .75R: 0.631579, count: 38, class_loss = 0.332478, iou_loss = 0.296529, total_loss = 0.629007 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777725, GIOU: 0.768265), Class: 0.999426, Obj: 0.660498, No Obj: 0.000288, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.093773, iou_loss = 0.072319, total_loss = 0.166091 \n", + " total_bbox = 1077336, rewritten_bbox = 2.668527 % \n", + "\n", + " 9708: 0.373321, 0.422304 avg loss, 0.000010 rate, 0.279109 seconds, 621312 images, 0.235794 hours left\n", + "Loaded: 1.889311 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812793, GIOU: 0.806269), Class: 0.999537, Obj: 0.759706, No Obj: 0.003873, .5R: 1.000000, .75R: 0.787879, count: 33, class_loss = 0.254526, iou_loss = 0.116635, total_loss = 0.371161 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760419, GIOU: 0.751096), Class: 0.999489, Obj: 0.594552, No Obj: 0.000580, .5R: 1.000000, .75R: 0.590909, count: 22, class_loss = 0.325455, iou_loss = 0.128543, total_loss = 0.453998 \n", + " total_bbox = 1077391, rewritten_bbox = 2.668483 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791764, GIOU: 0.783532), Class: 0.995382, Obj: 0.804427, No Obj: 0.003345, .5R: 0.969697, .75R: 0.787879, count: 33, class_loss = 0.197664, iou_loss = 0.144792, total_loss = 0.342456 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767445, GIOU: 0.757585), Class: 0.998783, Obj: 0.573657, No Obj: 0.000606, .5R: 0.954545, .75R: 0.727273, count: 22, class_loss = 0.308247, iou_loss = 0.118393, total_loss = 0.426639 \n", + " total_bbox = 1077446, rewritten_bbox = 2.668347 % \n", + "\n", + " 9709: 0.398564, 0.419930 avg loss, 0.000010 rate, 0.334360 seconds, 621376 images, 0.235135 hours left\n", + "Loaded: 1.940391 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792084, GIOU: 0.785127), Class: 0.999517, Obj: 0.755157, No Obj: 0.003605, .5R: 1.000000, .75R: 0.722222, count: 36, class_loss = 0.224801, iou_loss = 0.199269, total_loss = 0.424069 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.828588, GIOU: 0.824528), Class: 0.999638, Obj: 0.717887, No Obj: 0.000544, .5R: 1.000000, .75R: 0.842105, count: 19, class_loss = 0.139009, iou_loss = 0.067210, total_loss = 0.206219 \n", + " total_bbox = 1077501, rewritten_bbox = 2.668397 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773513, GIOU: 0.763879), Class: 0.999731, Obj: 0.754576, No Obj: 0.002895, .5R: 1.000000, .75R: 0.700000, count: 30, class_loss = 0.228146, iou_loss = 0.178618, total_loss = 0.406764 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762291, GIOU: 0.752412), Class: 0.999164, Obj: 0.629563, No Obj: 0.000523, .5R: 1.000000, .75R: 0.727273, count: 22, class_loss = 0.216968, iou_loss = 0.132462, total_loss = 0.349430 \n", + " total_bbox = 1077553, rewritten_bbox = 2.668268 % \n", + "\n", + " 9710: 0.346620, 0.412599 avg loss, 0.000010 rate, 0.367004 seconds, 621440 images, 0.234584 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 320 x 320 \n", + " try to allocate additional workspace_size = 1221.07 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.428573 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755979, GIOU: 0.746816), Class: 0.999523, Obj: 0.627699, No Obj: 0.004184, .5R: 1.000000, .75R: 0.545455, count: 33, class_loss = 0.376412, iou_loss = 0.190731, total_loss = 0.567143 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728700, GIOU: 0.712669), Class: 0.993852, Obj: 0.436095, No Obj: 0.000775, .5R: 0.962963, .75R: 0.444444, count: 27, class_loss = 0.448547, iou_loss = 0.235657, total_loss = 0.684204 \n", + " total_bbox = 1077613, rewritten_bbox = 2.668212 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801787, GIOU: 0.795494), Class: 0.999623, Obj: 0.739712, No Obj: 0.004069, .5R: 1.000000, .75R: 0.724138, count: 29, class_loss = 0.231565, iou_loss = 0.093762, total_loss = 0.325327 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719290, GIOU: 0.710274), Class: 0.998112, Obj: 0.531823, No Obj: 0.000840, .5R: 0.968750, .75R: 0.500000, count: 32, class_loss = 0.370958, iou_loss = 0.247369, total_loss = 0.618327 \n", + " total_bbox = 1077674, rewritten_bbox = 2.668247 % \n", + "\n", + " 9711: 0.548750, 0.426214 avg loss, 0.000010 rate, 0.210341 seconds, 621504 images, 0.234097 hours left\n", + "Loaded: 1.662490 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771433, GIOU: 0.764321), Class: 0.999691, Obj: 0.724514, No Obj: 0.003458, .5R: 0.956522, .75R: 0.695652, count: 23, class_loss = 0.182631, iou_loss = 0.169107, total_loss = 0.351738 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733031, GIOU: 0.720126), Class: 0.997333, Obj: 0.447149, No Obj: 0.000909, .5R: 0.948718, .75R: 0.512821, count: 39, class_loss = 0.620947, iou_loss = 0.361976, total_loss = 0.982922 \n", + " total_bbox = 1077736, rewritten_bbox = 2.668093 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774900, GIOU: 0.768417), Class: 0.999725, Obj: 0.744985, No Obj: 0.003192, .5R: 0.956522, .75R: 0.695652, count: 23, class_loss = 0.159590, iou_loss = 0.117981, total_loss = 0.277571 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.717015, GIOU: 0.700983), Class: 0.997598, Obj: 0.479309, No Obj: 0.000928, .5R: 0.939394, .75R: 0.545455, count: 33, class_loss = 0.481341, iou_loss = 0.257461, total_loss = 0.738803 \n", + " total_bbox = 1077792, rewritten_bbox = 2.668047 % \n", + "\n", + " 9712: 0.587759, 0.442369 avg loss, 0.000010 rate, 0.232725 seconds, 621568 images, 0.232269 hours left\n", + "Loaded: 1.967055 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759862, GIOU: 0.752821), Class: 0.999496, Obj: 0.715119, No Obj: 0.003056, .5R: 0.954545, .75R: 0.681818, count: 22, class_loss = 0.233534, iou_loss = 0.135287, total_loss = 0.368821 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767131, GIOU: 0.752103), Class: 0.995455, Obj: 0.567329, No Obj: 0.001028, .5R: 0.973684, .75R: 0.710526, count: 38, class_loss = 0.439277, iou_loss = 0.299172, total_loss = 0.738449 \n", + " total_bbox = 1077852, rewritten_bbox = 2.668084 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780744, GIOU: 0.772587), Class: 0.999515, Obj: 0.499482, No Obj: 0.001856, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.265372, iou_loss = 0.080172, total_loss = 0.345544 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721501, GIOU: 0.712427), Class: 0.998320, Obj: 0.476276, No Obj: 0.001007, .5R: 0.972222, .75R: 0.500000, count: 36, class_loss = 0.549908, iou_loss = 0.304002, total_loss = 0.853909 \n", + " total_bbox = 1077901, rewritten_bbox = 2.668056 % \n", + "\n", + " 9713: 0.576681, 0.455800 avg loss, 0.000010 rate, 0.201142 seconds, 621632 images, 0.231462 hours left\n", + "Loaded: 1.580901 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788875, GIOU: 0.784166), Class: 0.999394, Obj: 0.662935, No Obj: 0.003592, .5R: 1.000000, .75R: 0.826087, count: 23, class_loss = 0.225404, iou_loss = 0.099112, total_loss = 0.324516 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766177, GIOU: 0.758709), Class: 0.999206, Obj: 0.507836, No Obj: 0.001097, .5R: 0.947368, .75R: 0.578947, count: 38, class_loss = 0.490005, iou_loss = 0.236915, total_loss = 0.726921 \n", + " total_bbox = 1077962, rewritten_bbox = 2.667905 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767121, GIOU: 0.758173), Class: 0.999349, Obj: 0.659250, No Obj: 0.003105, .5R: 1.000000, .75R: 0.653846, count: 26, class_loss = 0.234814, iou_loss = 0.147848, total_loss = 0.382662 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.727369, GIOU: 0.715715), Class: 0.997265, Obj: 0.534343, No Obj: 0.000687, .5R: 0.965517, .75R: 0.482759, count: 29, class_loss = 0.389205, iou_loss = 0.228467, total_loss = 0.617672 \n", + " total_bbox = 1078017, rewritten_bbox = 2.668047 % \n", + "\n", + " 9714: 0.512943, 0.461514 avg loss, 0.000010 rate, 0.239093 seconds, 621696 images, 0.230876 hours left\n", + "Loaded: 1.645526 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774280, GIOU: 0.765925), Class: 0.999636, Obj: 0.677094, No Obj: 0.002840, .5R: 0.950000, .75R: 0.700000, count: 20, class_loss = 0.169950, iou_loss = 0.115165, total_loss = 0.285115 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728694, GIOU: 0.707824), Class: 0.994956, Obj: 0.518093, No Obj: 0.000932, .5R: 0.939394, .75R: 0.575758, count: 33, class_loss = 0.446663, iou_loss = 0.363516, total_loss = 0.810179 \n", + " total_bbox = 1078070, rewritten_bbox = 2.668009 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754006, GIOU: 0.748060), Class: 0.999860, Obj: 0.739821, No Obj: 0.003175, .5R: 0.956522, .75R: 0.608696, count: 23, class_loss = 0.261949, iou_loss = 0.113333, total_loss = 0.375282 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775761, GIOU: 0.765450), Class: 0.998966, Obj: 0.458597, No Obj: 0.001004, .5R: 1.000000, .75R: 0.636364, count: 33, class_loss = 0.487912, iou_loss = 0.198393, total_loss = 0.686305 \n", + " total_bbox = 1078126, rewritten_bbox = 2.667963 % \n", + "\n", + " 9715: 0.539220, 0.469285 avg loss, 0.000010 rate, 0.239331 seconds, 621760 images, 0.230015 hours left\n", + "Loaded: 1.564525 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814723, GIOU: 0.809544), Class: 0.999760, Obj: 0.746128, No Obj: 0.003482, .5R: 1.000000, .75R: 0.750000, count: 24, class_loss = 0.188763, iou_loss = 0.064551, total_loss = 0.253314 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714768, GIOU: 0.700286), Class: 0.992164, Obj: 0.455274, No Obj: 0.000824, .5R: 0.969697, .75R: 0.424242, count: 33, class_loss = 0.559639, iou_loss = 0.307634, total_loss = 0.867272 \n", + " total_bbox = 1078183, rewritten_bbox = 2.667914 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814501, GIOU: 0.807433), Class: 0.999694, Obj: 0.627059, No Obj: 0.002838, .5R: 1.000000, .75R: 0.823529, count: 17, class_loss = 0.166653, iou_loss = 0.060730, total_loss = 0.227383 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762409, GIOU: 0.751263), Class: 0.997225, Obj: 0.420378, No Obj: 0.001049, .5R: 0.952381, .75R: 0.571429, count: 42, class_loss = 0.684785, iou_loss = 0.286864, total_loss = 0.971649 \n", + " total_bbox = 1078242, rewritten_bbox = 2.667768 % \n", + "\n", + " 9716: 0.579904, 0.480347 avg loss, 0.000010 rate, 0.254703 seconds, 621824 images, 0.229207 hours left\n", + "Loaded: 1.686599 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802250, GIOU: 0.796175), Class: 0.999464, Obj: 0.773994, No Obj: 0.003498, .5R: 1.000000, .75R: 0.777778, count: 27, class_loss = 0.129533, iou_loss = 0.099335, total_loss = 0.228868 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767378, GIOU: 0.757676), Class: 0.998667, Obj: 0.558332, No Obj: 0.000988, .5R: 0.944444, .75R: 0.694444, count: 36, class_loss = 0.435498, iou_loss = 0.221863, total_loss = 0.657362 \n", + " total_bbox = 1078305, rewritten_bbox = 2.667705 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.724248, GIOU: 0.715389), Class: 0.999535, Obj: 0.580831, No Obj: 0.001558, .5R: 0.923077, .75R: 0.384615, count: 13, class_loss = 0.181831, iou_loss = 0.089173, total_loss = 0.271004 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715771, GIOU: 0.705647), Class: 0.996215, Obj: 0.542837, No Obj: 0.001034, .5R: 0.973684, .75R: 0.421053, count: 38, class_loss = 0.477722, iou_loss = 0.384569, total_loss = 0.862291 \n", + " total_bbox = 1078356, rewritten_bbox = 2.667579 % \n", + "\n", + " 9717: 0.504881, 0.482800 avg loss, 0.000010 rate, 0.272749 seconds, 621888 images, 0.228351 hours left\n", + "Loaded: 1.757433 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781278, GIOU: 0.775927), Class: 0.999615, Obj: 0.710201, No Obj: 0.003422, .5R: 1.000000, .75R: 0.620690, count: 29, class_loss = 0.244549, iou_loss = 0.152620, total_loss = 0.397169 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734954, GIOU: 0.722763), Class: 0.995797, Obj: 0.500117, No Obj: 0.000859, .5R: 1.000000, .75R: 0.428571, count: 28, class_loss = 0.426305, iou_loss = 0.185668, total_loss = 0.611973 \n", + " total_bbox = 1078413, rewritten_bbox = 2.667438 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777625, GIOU: 0.773042), Class: 0.999484, Obj: 0.630297, No Obj: 0.003306, .5R: 0.958333, .75R: 0.708333, count: 24, class_loss = 0.280629, iou_loss = 0.193600, total_loss = 0.474230 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729680, GIOU: 0.718525), Class: 0.998020, Obj: 0.495120, No Obj: 0.000929, .5R: 1.000000, .75R: 0.457143, count: 35, class_loss = 0.503891, iou_loss = 0.271640, total_loss = 0.775531 \n", + " total_bbox = 1078472, rewritten_bbox = 2.667478 % \n", + "\n", + " 9718: 0.564726, 0.490993 avg loss, 0.000010 rate, 0.246134 seconds, 621952 images, 0.227612 hours left\n", + "Loaded: 1.704644 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783334, GIOU: 0.778048), Class: 0.999805, Obj: 0.747053, No Obj: 0.003508, .5R: 1.000000, .75R: 0.678571, count: 28, class_loss = 0.210516, iou_loss = 0.140514, total_loss = 0.351030 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759259, GIOU: 0.745405), Class: 0.988863, Obj: 0.632760, No Obj: 0.000822, .5R: 0.904762, .75R: 0.619048, count: 21, class_loss = 0.216458, iou_loss = 0.149201, total_loss = 0.365658 \n", + " total_bbox = 1078521, rewritten_bbox = 2.667449 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.745779, GIOU: 0.736922), Class: 0.999877, Obj: 0.791289, No Obj: 0.002416, .5R: 1.000000, .75R: 0.571429, count: 21, class_loss = 0.102355, iou_loss = 0.119692, total_loss = 0.222047 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757004, GIOU: 0.749780), Class: 0.998948, Obj: 0.619540, No Obj: 0.001043, .5R: 1.000000, .75R: 0.600000, count: 35, class_loss = 0.366186, iou_loss = 0.229612, total_loss = 0.595797 \n", + " total_bbox = 1078577, rewritten_bbox = 2.667403 % \n", + "\n", + " 9719: 0.383633, 0.480257 avg loss, 0.000010 rate, 0.223429 seconds, 622016 images, 0.226906 hours left\n", + "Loaded: 1.714224 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763062, GIOU: 0.754887), Class: 0.999481, Obj: 0.707459, No Obj: 0.002214, .5R: 1.000000, .75R: 0.666667, count: 15, class_loss = 0.170118, iou_loss = 0.074029, total_loss = 0.244147 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744363, GIOU: 0.735034), Class: 0.998138, Obj: 0.503990, No Obj: 0.000643, .5R: 0.956522, .75R: 0.521739, count: 23, class_loss = 0.317220, iou_loss = 0.206773, total_loss = 0.523993 \n", + " total_bbox = 1078615, rewritten_bbox = 2.667495 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.728036, GIOU: 0.714764), Class: 0.999542, Obj: 0.512129, No Obj: 0.003097, .5R: 0.965517, .75R: 0.482759, count: 29, class_loss = 0.426448, iou_loss = 0.216006, total_loss = 0.642454 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711678, GIOU: 0.688977), Class: 0.994746, Obj: 0.432174, No Obj: 0.000816, .5R: 0.896552, .75R: 0.586207, count: 29, class_loss = 0.520679, iou_loss = 0.338857, total_loss = 0.859536 \n", + " total_bbox = 1078673, rewritten_bbox = 2.667444 % \n", + "\n", + " 9720: 0.567533, 0.488984 avg loss, 0.000010 rate, 0.219734 seconds, 622080 images, 0.226142 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000140 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780476, GIOU: 0.773082), Class: 0.999603, Obj: 0.737810, No Obj: 0.002717, .5R: 1.000000, .75R: 0.704545, count: 44, class_loss = 0.297594, iou_loss = 0.224925, total_loss = 0.522520 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736549, GIOU: 0.723187), Class: 0.998608, Obj: 0.597533, No Obj: 0.000211, .5R: 1.000000, .75R: 0.466667, count: 15, class_loss = 0.243430, iou_loss = 0.116249, total_loss = 0.359679 \n", + " total_bbox = 1078732, rewritten_bbox = 2.667298 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813158, GIOU: 0.805033), Class: 0.999192, Obj: 0.640245, No Obj: 0.002681, .5R: 1.000000, .75R: 0.820000, count: 50, class_loss = 0.461692, iou_loss = 0.233021, total_loss = 0.694713 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.662666, GIOU: 0.645387), Class: 0.971651, Obj: 0.463961, No Obj: 0.000056, .5R: 0.666667, .75R: 0.333333, count: 3, class_loss = 0.049454, iou_loss = 0.013965, total_loss = 0.063419 \n", + " total_bbox = 1078785, rewritten_bbox = 2.667260 % \n", + "\n", + " 9721: 0.410083, 0.481094 avg loss, 0.000010 rate, 0.512849 seconds, 622144 images, 0.225384 hours left\n", + "Loaded: 1.664975 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801114, GIOU: 0.793964), Class: 0.999345, Obj: 0.762677, No Obj: 0.003394, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.352707, iou_loss = 0.224790, total_loss = 0.577497 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731928, GIOU: 0.721927), Class: 0.999099, Obj: 0.590909, No Obj: 0.000164, .5R: 0.916667, .75R: 0.500000, count: 12, class_loss = 0.128536, iou_loss = 0.112996, total_loss = 0.241532 \n", + " total_bbox = 1078847, rewritten_bbox = 2.667292 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777781, GIOU: 0.769094), Class: 0.999187, Obj: 0.684828, No Obj: 0.003336, .5R: 1.000000, .75R: 0.655172, count: 58, class_loss = 0.562333, iou_loss = 0.330540, total_loss = 0.892873 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.704604, GIOU: 0.691467), Class: 0.997727, Obj: 0.401389, No Obj: 0.000102, .5R: 0.875000, .75R: 0.625000, count: 8, class_loss = 0.138764, iou_loss = 0.097845, total_loss = 0.236609 \n", + " total_bbox = 1078913, rewritten_bbox = 2.667222 % \n", + "\n", + " 9722: 0.487128, 0.481697 avg loss, 0.000010 rate, 0.599191 seconds, 622208 images, 0.223528 hours left\n", + "Loaded: 1.795930 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776024, GIOU: 0.768278), Class: 0.999522, Obj: 0.608142, No Obj: 0.002019, .5R: 1.000000, .75R: 0.604651, count: 43, class_loss = 0.462103, iou_loss = 0.316484, total_loss = 0.778587 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.737586, GIOU: 0.722495), Class: 0.992579, Obj: 0.426172, No Obj: 0.000125, .5R: 0.777778, .75R: 0.666667, count: 9, class_loss = 0.154178, iou_loss = 0.072552, total_loss = 0.226730 \n", + " total_bbox = 1078965, rewritten_bbox = 2.667278 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796904, GIOU: 0.791665), Class: 0.999460, Obj: 0.772047, No Obj: 0.003139, .5R: 1.000000, .75R: 0.803922, count: 51, class_loss = 0.330227, iou_loss = 0.188583, total_loss = 0.518810 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774299, GIOU: 0.766604), Class: 0.999390, Obj: 0.774333, No Obj: 0.000141, .5R: 1.000000, .75R: 0.777778, count: 9, class_loss = 0.100855, iou_loss = 0.075859, total_loss = 0.176713 \n", + " total_bbox = 1079025, rewritten_bbox = 2.667408 % \n", + "\n", + " 9723: 0.425210, 0.476049 avg loss, 0.000010 rate, 0.656584 seconds, 622272 images, 0.223041 hours left\n", + "Loaded: 1.751758 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799489, GIOU: 0.789790), Class: 0.999493, Obj: 0.675526, No Obj: 0.002490, .5R: 0.978261, .75R: 0.760870, count: 46, class_loss = 0.426235, iou_loss = 0.267307, total_loss = 0.693541 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788587, GIOU: 0.784335), Class: 0.999104, Obj: 0.554192, No Obj: 0.000192, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.179255, iou_loss = 0.075690, total_loss = 0.254945 \n", + " total_bbox = 1079084, rewritten_bbox = 2.667633 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783087, GIOU: 0.775562), Class: 0.999298, Obj: 0.683340, No Obj: 0.002350, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.414359, iou_loss = 0.237225, total_loss = 0.651584 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.680195, GIOU: 0.669373), Class: 0.996526, Obj: 0.411438, No Obj: 0.000129, .5R: 0.769231, .75R: 0.307692, count: 13, class_loss = 0.231776, iou_loss = 0.230033, total_loss = 0.461810 \n", + " total_bbox = 1079137, rewritten_bbox = 2.667687 % \n", + "\n", + " 9724: 0.515470, 0.479991 avg loss, 0.000010 rate, 0.647295 seconds, 622336 images, 0.222702 hours left\n", + "Loaded: 1.583789 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794750, GIOU: 0.788392), Class: 0.999602, Obj: 0.710296, No Obj: 0.002280, .5R: 1.000000, .75R: 0.810811, count: 37, class_loss = 0.336114, iou_loss = 0.175785, total_loss = 0.511899 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730161, GIOU: 0.670662), Class: 0.991275, Obj: 0.407972, No Obj: 0.000145, .5R: 0.916667, .75R: 0.833333, count: 12, class_loss = 0.206655, iou_loss = 0.100864, total_loss = 0.307519 \n", + " total_bbox = 1079186, rewritten_bbox = 2.667566 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802368, GIOU: 0.796642), Class: 0.999071, Obj: 0.703871, No Obj: 0.002621, .5R: 1.000000, .75R: 0.688889, count: 45, class_loss = 0.421681, iou_loss = 0.269667, total_loss = 0.691348 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.668607, GIOU: 0.630515), Class: 0.985409, Obj: 0.473192, No Obj: 0.000102, .5R: 0.909091, .75R: 0.454545, count: 11, class_loss = 0.144319, iou_loss = 0.147457, total_loss = 0.291777 \n", + " total_bbox = 1079242, rewritten_bbox = 2.667520 % \n", + "\n", + " 9725: 0.450636, 0.477055 avg loss, 0.000010 rate, 0.512595 seconds, 622400 images, 0.222314 hours left\n", + "Loaded: 1.692962 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793546, GIOU: 0.785123), Class: 0.999602, Obj: 0.702091, No Obj: 0.002892, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.390178, iou_loss = 0.246039, total_loss = 0.636217 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775789, GIOU: 0.766605), Class: 0.997777, Obj: 0.557635, No Obj: 0.000214, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.233815, iou_loss = 0.104517, total_loss = 0.338332 \n", + " total_bbox = 1079303, rewritten_bbox = 2.667462 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810447, GIOU: 0.805542), Class: 0.999314, Obj: 0.695010, No Obj: 0.003169, .5R: 0.981481, .75R: 0.814815, count: 54, class_loss = 0.501195, iou_loss = 0.233939, total_loss = 0.735134 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763926, GIOU: 0.755092), Class: 0.997615, Obj: 0.379106, No Obj: 0.000104, .5R: 0.909091, .75R: 0.727273, count: 11, class_loss = 0.216915, iou_loss = 0.063302, total_loss = 0.280218 \n", + " total_bbox = 1079368, rewritten_bbox = 2.667487 % \n", + "\n", + " 9726: 0.497475, 0.479097 avg loss, 0.000010 rate, 0.745483 seconds, 622464 images, 0.221692 hours left\n", + "Loaded: 1.559972 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807809, GIOU: 0.803927), Class: 0.999474, Obj: 0.760798, No Obj: 0.002324, .5R: 1.000000, .75R: 0.787879, count: 33, class_loss = 0.341313, iou_loss = 0.142570, total_loss = 0.483882 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806422, GIOU: 0.800901), Class: 0.999098, Obj: 0.517902, No Obj: 0.000137, .5R: 1.000000, .75R: 0.818182, count: 11, class_loss = 0.204588, iou_loss = 0.068275, total_loss = 0.272862 \n", + " total_bbox = 1079412, rewritten_bbox = 2.667378 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802967, GIOU: 0.794890), Class: 0.999658, Obj: 0.574114, No Obj: 0.002239, .5R: 1.000000, .75R: 0.767442, count: 43, class_loss = 0.525275, iou_loss = 0.235410, total_loss = 0.760685 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802653, GIOU: 0.799340), Class: 0.999624, Obj: 0.656816, No Obj: 0.000199, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.119143, iou_loss = 0.049284, total_loss = 0.168427 \n", + " total_bbox = 1079470, rewritten_bbox = 2.667327 % \n", + "\n", + " 9727: 0.421464, 0.473334 avg loss, 0.000010 rate, 0.495653 seconds, 622528 images, 0.221331 hours left\n", + "Loaded: 1.967854 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793535, GIOU: 0.785989), Class: 0.999567, Obj: 0.721472, No Obj: 0.002393, .5R: 1.000000, .75R: 0.731707, count: 41, class_loss = 0.393922, iou_loss = 0.190183, total_loss = 0.584105 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768842, GIOU: 0.757504), Class: 0.999548, Obj: 0.667667, No Obj: 0.000196, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.132518, iou_loss = 0.089277, total_loss = 0.221796 \n", + " total_bbox = 1079525, rewritten_bbox = 2.667192 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786425, GIOU: 0.778031), Class: 0.999779, Obj: 0.684937, No Obj: 0.002875, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.454268, iou_loss = 0.243422, total_loss = 0.697690 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805199, GIOU: 0.799970), Class: 0.998514, Obj: 0.566016, No Obj: 0.000181, .5R: 1.000000, .75R: 0.722222, count: 18, class_loss = 0.186023, iou_loss = 0.099465, total_loss = 0.285488 \n", + " total_bbox = 1079587, rewritten_bbox = 2.667316 % \n", + "\n", + " 9728: 0.447270, 0.470728 avg loss, 0.000010 rate, 0.572735 seconds, 622592 images, 0.220677 hours left\n", + "Loaded: 1.636059 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776168, GIOU: 0.771140), Class: 0.999406, Obj: 0.648209, No Obj: 0.002727, .5R: 0.976744, .75R: 0.697674, count: 43, class_loss = 0.570411, iou_loss = 0.281508, total_loss = 0.851919 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696032, GIOU: 0.681717), Class: 0.999324, Obj: 0.344720, No Obj: 0.000067, .5R: 0.833333, .75R: 0.500000, count: 6, class_loss = 0.119836, iou_loss = 0.053496, total_loss = 0.173332 \n", + " total_bbox = 1079636, rewritten_bbox = 2.667288 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769266, GIOU: 0.762771), Class: 0.998996, Obj: 0.590543, No Obj: 0.002946, .5R: 0.979592, .75R: 0.632653, count: 49, class_loss = 0.689408, iou_loss = 0.367315, total_loss = 1.056724 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.820582, GIOU: 0.816301), Class: 0.999901, Obj: 0.548362, No Obj: 0.000061, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.039258, iou_loss = 0.019094, total_loss = 0.058352 \n", + " total_bbox = 1079689, rewritten_bbox = 2.667435 % \n", + "\n", + " 9729: 0.535082, 0.477163 avg loss, 0.000010 rate, 0.733958 seconds, 622656 images, 0.220390 hours left\n", + "Loaded: 1.529317 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811740, GIOU: 0.806373), Class: 0.999570, Obj: 0.756877, No Obj: 0.002506, .5R: 1.000000, .75R: 0.813953, count: 43, class_loss = 0.380878, iou_loss = 0.188442, total_loss = 0.569320 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760033, GIOU: 0.753531), Class: 0.999166, Obj: 0.474702, No Obj: 0.000182, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.261950, iou_loss = 0.082787, total_loss = 0.344737 \n", + " total_bbox = 1079746, rewritten_bbox = 2.667572 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774548, GIOU: 0.768880), Class: 0.999676, Obj: 0.717883, No Obj: 0.002427, .5R: 0.977273, .75R: 0.681818, count: 44, class_loss = 0.381645, iou_loss = 0.299156, total_loss = 0.680801 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730372, GIOU: 0.716469), Class: 0.996614, Obj: 0.449861, No Obj: 0.000111, .5R: 0.900000, .75R: 0.600000, count: 10, class_loss = 0.171827, iou_loss = 0.085135, total_loss = 0.256962 \n", + " total_bbox = 1079800, rewritten_bbox = 2.667624 % \n", + "\n", + " 9730: 0.462955, 0.475742 avg loss, 0.000010 rate, 0.645490 seconds, 622720 images, 0.219970 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 2.009713 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799474, GIOU: 0.791700), Class: 0.999146, Obj: 0.711063, No Obj: 0.002451, .5R: 0.979167, .75R: 0.833333, count: 48, class_loss = 0.365958, iou_loss = 0.245074, total_loss = 0.611032 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.702918, GIOU: 0.694995), Class: 0.993361, Obj: 0.479258, No Obj: 0.000139, .5R: 0.909091, .75R: 0.272727, count: 11, class_loss = 0.178296, iou_loss = 0.093524, total_loss = 0.271820 \n", + " total_bbox = 1079859, rewritten_bbox = 2.667756 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810127, GIOU: 0.805806), Class: 0.999485, Obj: 0.751132, No Obj: 0.002678, .5R: 1.000000, .75R: 0.688889, count: 45, class_loss = 0.344209, iou_loss = 0.229141, total_loss = 0.573351 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786418, GIOU: 0.778955), Class: 0.999381, Obj: 0.562482, No Obj: 0.000186, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.184658, iou_loss = 0.095248, total_loss = 0.279905 \n", + " total_bbox = 1079916, rewritten_bbox = 2.667893 % \n", + "\n", + " 9731: 0.434027, 0.471571 avg loss, 0.000010 rate, 0.481981 seconds, 622784 images, 0.219402 hours left\n", + "Loaded: 1.835062 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815036, GIOU: 0.808731), Class: 0.999500, Obj: 0.741151, No Obj: 0.002833, .5R: 1.000000, .75R: 0.804348, count: 46, class_loss = 0.400291, iou_loss = 0.228337, total_loss = 0.628628 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796380, GIOU: 0.790938), Class: 0.998884, Obj: 0.630774, No Obj: 0.000189, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.173078, iou_loss = 0.055699, total_loss = 0.228777 \n", + " total_bbox = 1079976, rewritten_bbox = 2.667837 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785806, GIOU: 0.778892), Class: 0.999462, Obj: 0.735280, No Obj: 0.002230, .5R: 1.000000, .75R: 0.696970, count: 33, class_loss = 0.250499, iou_loss = 0.171308, total_loss = 0.421807 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736970, GIOU: 0.724353), Class: 0.999303, Obj: 0.500722, No Obj: 0.000122, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.163562, iou_loss = 0.096356, total_loss = 0.259918 \n", + " total_bbox = 1080021, rewritten_bbox = 2.667726 % \n", + "\n", + " 9732: 0.384782, 0.462892 avg loss, 0.000010 rate, 0.678752 seconds, 622848 images, 0.219070 hours left\n", + "Loaded: 1.804481 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791771, GIOU: 0.784469), Class: 0.999207, Obj: 0.655142, No Obj: 0.002958, .5R: 0.979592, .75R: 0.755102, count: 49, class_loss = 0.516509, iou_loss = 0.259601, total_loss = 0.776110 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806488, GIOU: 0.800717), Class: 0.999469, Obj: 0.755575, No Obj: 0.000249, .5R: 1.000000, .75R: 0.842105, count: 19, class_loss = 0.076971, iou_loss = 0.082879, total_loss = 0.159850 \n", + " total_bbox = 1080089, rewritten_bbox = 2.667743 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788600, GIOU: 0.781838), Class: 0.999713, Obj: 0.709691, No Obj: 0.002253, .5R: 1.000000, .75R: 0.615385, count: 39, class_loss = 0.356893, iou_loss = 0.210955, total_loss = 0.567849 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.737972, GIOU: 0.730150), Class: 0.998411, Obj: 0.641174, No Obj: 0.000163, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.097733, iou_loss = 0.103513, total_loss = 0.201245 \n", + " total_bbox = 1080139, rewritten_bbox = 2.667712 % \n", + "\n", + " 9733: 0.426263, 0.459229 avg loss, 0.000010 rate, 0.681076 seconds, 622912 images, 0.218751 hours left\n", + "Loaded: 1.821571 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800413, GIOU: 0.794847), Class: 0.999294, Obj: 0.678842, No Obj: 0.002849, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.489136, iou_loss = 0.223976, total_loss = 0.713113 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735133, GIOU: 0.728163), Class: 0.998879, Obj: 0.448373, No Obj: 0.000113, .5R: 0.888889, .75R: 0.555556, count: 9, class_loss = 0.148176, iou_loss = 0.059297, total_loss = 0.207473 \n", + " total_bbox = 1080198, rewritten_bbox = 2.667752 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794516, GIOU: 0.787571), Class: 0.999676, Obj: 0.710550, No Obj: 0.002509, .5R: 1.000000, .75R: 0.727273, count: 44, class_loss = 0.369672, iou_loss = 0.239306, total_loss = 0.608979 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713213, GIOU: 0.705320), Class: 0.997794, Obj: 0.442450, No Obj: 0.000155, .5R: 0.923077, .75R: 0.615385, count: 13, class_loss = 0.189394, iou_loss = 0.125496, total_loss = 0.314890 \n", + " total_bbox = 1080255, rewritten_bbox = 2.667796 % \n", + "\n", + " 9734: 0.461114, 0.459417 avg loss, 0.000010 rate, 0.579693 seconds, 622976 images, 0.218412 hours left\n", + "Loaded: 1.420714 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777811, GIOU: 0.770700), Class: 0.999516, Obj: 0.709413, No Obj: 0.002751, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.405390, iou_loss = 0.260070, total_loss = 0.665461 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761816, GIOU: 0.745677), Class: 0.999319, Obj: 0.636843, No Obj: 0.000225, .5R: 0.944444, .75R: 0.666667, count: 18, class_loss = 0.199032, iou_loss = 0.161282, total_loss = 0.360314 \n", + " total_bbox = 1080317, rewritten_bbox = 2.667921 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766238, GIOU: 0.754179), Class: 0.999406, Obj: 0.663437, No Obj: 0.002479, .5R: 0.976744, .75R: 0.627907, count: 43, class_loss = 0.420144, iou_loss = 0.285189, total_loss = 0.705333 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749146, GIOU: 0.746065), Class: 0.998947, Obj: 0.682039, No Obj: 0.000192, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.110435, iou_loss = 0.074233, total_loss = 0.184669 \n", + " total_bbox = 1080372, rewritten_bbox = 2.667785 % \n", + "\n", + " 9735: 0.478944, 0.461370 avg loss, 0.000010 rate, 0.627330 seconds, 623040 images, 0.218004 hours left\n", + "Loaded: 1.564183 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785090, GIOU: 0.780451), Class: 0.999699, Obj: 0.715172, No Obj: 0.002381, .5R: 1.000000, .75R: 0.644444, count: 45, class_loss = 0.364668, iou_loss = 0.249424, total_loss = 0.614091 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720922, GIOU: 0.695312), Class: 0.997063, Obj: 0.583081, No Obj: 0.000228, .5R: 0.900000, .75R: 0.650000, count: 20, class_loss = 0.238269, iou_loss = 0.243969, total_loss = 0.482237 \n", + " total_bbox = 1080437, rewritten_bbox = 2.667717 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805229, GIOU: 0.800782), Class: 0.999404, Obj: 0.651193, No Obj: 0.002496, .5R: 1.000000, .75R: 0.763158, count: 38, class_loss = 0.446490, iou_loss = 0.175785, total_loss = 0.622274 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783273, GIOU: 0.777579), Class: 0.999449, Obj: 0.626446, No Obj: 0.000223, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.144194, iou_loss = 0.076379, total_loss = 0.220574 \n", + " total_bbox = 1080489, rewritten_bbox = 2.667588 % \n", + "\n", + " 9736: 0.484794, 0.463713 avg loss, 0.000010 rate, 0.478142 seconds, 623104 images, 0.217334 hours left\n", + "Loaded: 1.518981 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800898, GIOU: 0.797011), Class: 0.999598, Obj: 0.648499, No Obj: 0.002352, .5R: 1.000000, .75R: 0.756098, count: 41, class_loss = 0.387113, iou_loss = 0.214898, total_loss = 0.602011 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779295, GIOU: 0.772862), Class: 0.999528, Obj: 0.690740, No Obj: 0.000416, .5R: 1.000000, .75R: 0.689655, count: 29, class_loss = 0.300835, iou_loss = 0.173804, total_loss = 0.474639 \n", + " total_bbox = 1080559, rewritten_bbox = 2.667601 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803528, GIOU: 0.798192), Class: 0.999647, Obj: 0.750404, No Obj: 0.002694, .5R: 1.000000, .75R: 0.765957, count: 47, class_loss = 0.406653, iou_loss = 0.238455, total_loss = 0.645108 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781674, GIOU: 0.769826), Class: 0.997562, Obj: 0.590430, No Obj: 0.000216, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.127198, iou_loss = 0.073949, total_loss = 0.201147 \n", + " total_bbox = 1080617, rewritten_bbox = 2.667550 % \n", + "\n", + " 9737: 0.480726, 0.465414 avg loss, 0.000010 rate, 0.589347 seconds, 623168 images, 0.216658 hours left\n", + "Loaded: 1.659039 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784127, GIOU: 0.775964), Class: 0.999186, Obj: 0.716157, No Obj: 0.002938, .5R: 1.000000, .75R: 0.634615, count: 52, class_loss = 0.422910, iou_loss = 0.298938, total_loss = 0.721848 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758395, GIOU: 0.752445), Class: 0.999781, Obj: 0.657745, No Obj: 0.000135, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.096287, iou_loss = 0.054076, total_loss = 0.150364 \n", + " total_bbox = 1080679, rewritten_bbox = 2.667675 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776465, GIOU: 0.768957), Class: 0.999321, Obj: 0.625089, No Obj: 0.002453, .5R: 1.000000, .75R: 0.653846, count: 52, class_loss = 0.563774, iou_loss = 0.299728, total_loss = 0.863502 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746811, GIOU: 0.735534), Class: 0.998781, Obj: 0.521815, No Obj: 0.000140, .5R: 1.000000, .75R: 0.444444, count: 9, class_loss = 0.124839, iou_loss = 0.062658, total_loss = 0.187497 \n", + " total_bbox = 1080740, rewritten_bbox = 2.667617 % \n", + "\n", + " 9738: 0.480803, 0.466953 avg loss, 0.000010 rate, 0.574727 seconds, 623232 images, 0.216032 hours left\n", + "Loaded: 1.257804 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792256, GIOU: 0.784662), Class: 0.999591, Obj: 0.780502, No Obj: 0.002495, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.264676, iou_loss = 0.236249, total_loss = 0.500924 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.819917, GIOU: 0.815182), Class: 0.999856, Obj: 0.562339, No Obj: 0.000094, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.079926, iou_loss = 0.033829, total_loss = 0.113755 \n", + " total_bbox = 1080791, rewritten_bbox = 2.667676 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802326, GIOU: 0.795775), Class: 0.999479, Obj: 0.800519, No Obj: 0.002497, .5R: 1.000000, .75R: 0.789474, count: 38, class_loss = 0.257653, iou_loss = 0.180604, total_loss = 0.438258 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734634, GIOU: 0.724932), Class: 0.999251, Obj: 0.553021, No Obj: 0.000196, .5R: 1.000000, .75R: 0.416667, count: 12, class_loss = 0.211171, iou_loss = 0.096511, total_loss = 0.307681 \n", + " total_bbox = 1080841, rewritten_bbox = 2.667552 % \n", + "\n", + " 9739: 0.340155, 0.454273 avg loss, 0.000010 rate, 0.598750 seconds, 623296 images, 0.215502 hours left\n", + "Loaded: 1.831559 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788889, GIOU: 0.783943), Class: 0.999643, Obj: 0.796852, No Obj: 0.002448, .5R: 1.000000, .75R: 0.714286, count: 42, class_loss = 0.255947, iou_loss = 0.182932, total_loss = 0.438880 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.710942, GIOU: 0.690634), Class: 0.996518, Obj: 0.629619, No Obj: 0.000237, .5R: 0.875000, .75R: 0.500000, count: 16, class_loss = 0.176937, iou_loss = 0.200522, total_loss = 0.377459 \n", + " total_bbox = 1080899, rewritten_bbox = 2.667502 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791757, GIOU: 0.783452), Class: 0.999404, Obj: 0.692882, No Obj: 0.002922, .5R: 1.000000, .75R: 0.709091, count: 55, class_loss = 0.424770, iou_loss = 0.269597, total_loss = 0.694367 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.693552, GIOU: 0.675888), Class: 0.980149, Obj: 0.291096, No Obj: 0.000052, .5R: 0.666667, .75R: 0.666667, count: 6, class_loss = 0.115125, iou_loss = 0.078458, total_loss = 0.193583 \n", + " total_bbox = 1080960, rewritten_bbox = 2.667536 % \n", + "\n", + " 9740: 0.426072, 0.451453 avg loss, 0.000010 rate, 0.675935 seconds, 623360 images, 0.214693 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.883193 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775468, GIOU: 0.764008), Class: 0.999269, Obj: 0.701118, No Obj: 0.003825, .5R: 0.928571, .75R: 0.666667, count: 42, class_loss = 0.418368, iou_loss = 0.250340, total_loss = 0.668708 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752996, GIOU: 0.739374), Class: 0.998101, Obj: 0.597526, No Obj: 0.000532, .5R: 0.928571, .75R: 0.607143, count: 28, class_loss = 0.302328, iou_loss = 0.226486, total_loss = 0.528814 \n", + " total_bbox = 1081030, rewritten_bbox = 2.667549 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813973, GIOU: 0.807974), Class: 0.999597, Obj: 0.773138, No Obj: 0.003289, .5R: 1.000000, .75R: 0.818182, count: 33, class_loss = 0.203663, iou_loss = 0.115620, total_loss = 0.319283 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766475, GIOU: 0.755959), Class: 0.997006, Obj: 0.500386, No Obj: 0.000408, .5R: 1.000000, .75R: 0.555556, count: 18, class_loss = 0.283324, iou_loss = 0.127270, total_loss = 0.410594 \n", + " total_bbox = 1081081, rewritten_bbox = 2.667515 % \n", + "\n", + " 9741: 0.481850, 0.454493 avg loss, 0.000010 rate, 0.418304 seconds, 623424 images, 0.214364 hours left\n", + "Loaded: 1.726555 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802460, GIOU: 0.794851), Class: 0.999483, Obj: 0.809521, No Obj: 0.003687, .5R: 0.975000, .75R: 0.775000, count: 40, class_loss = 0.209477, iou_loss = 0.223287, total_loss = 0.432764 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763869, GIOU: 0.751642), Class: 0.998336, Obj: 0.595384, No Obj: 0.000449, .5R: 0.916667, .75R: 0.666667, count: 24, class_loss = 0.243163, iou_loss = 0.163407, total_loss = 0.406570 \n", + " total_bbox = 1081145, rewritten_bbox = 2.667727 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803663, GIOU: 0.796523), Class: 0.999743, Obj: 0.793636, No Obj: 0.002705, .5R: 0.961538, .75R: 0.807692, count: 26, class_loss = 0.207012, iou_loss = 0.086171, total_loss = 0.293182 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764270, GIOU: 0.755798), Class: 0.998200, Obj: 0.596919, No Obj: 0.000484, .5R: 1.000000, .75R: 0.640000, count: 25, class_loss = 0.273744, iou_loss = 0.159004, total_loss = 0.432748 \n", + " total_bbox = 1081196, rewritten_bbox = 2.667694 % \n", + "\n", + " 9742: 0.391316, 0.448175 avg loss, 0.000010 rate, 0.331499 seconds, 623488 images, 0.213878 hours left\n", + "Loaded: 1.639355 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792951, GIOU: 0.785624), Class: 0.999618, Obj: 0.731781, No Obj: 0.003437, .5R: 0.979592, .75R: 0.755102, count: 49, class_loss = 0.290033, iou_loss = 0.226590, total_loss = 0.516623 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763332, GIOU: 0.753190), Class: 0.999562, Obj: 0.747192, No Obj: 0.000283, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.071247, iou_loss = 0.067605, total_loss = 0.138852 \n", + " total_bbox = 1081253, rewritten_bbox = 2.668016 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811758, GIOU: 0.805470), Class: 0.999582, Obj: 0.735294, No Obj: 0.003528, .5R: 1.000000, .75R: 0.675000, count: 40, class_loss = 0.273173, iou_loss = 0.141839, total_loss = 0.415011 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742328, GIOU: 0.734674), Class: 0.999008, Obj: 0.546304, No Obj: 0.000357, .5R: 0.944444, .75R: 0.500000, count: 18, class_loss = 0.232605, iou_loss = 0.167568, total_loss = 0.400173 \n", + " total_bbox = 1081311, rewritten_bbox = 2.667965 % \n", + "\n", + " 9743: 0.367665, 0.440124 avg loss, 0.000010 rate, 0.412165 seconds, 623552 images, 0.213215 hours left\n", + "Loaded: 1.872087 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805939, GIOU: 0.801107), Class: 0.999841, Obj: 0.775371, No Obj: 0.003822, .5R: 1.000000, .75R: 0.837838, count: 37, class_loss = 0.285735, iou_loss = 0.145459, total_loss = 0.431195 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739537, GIOU: 0.716853), Class: 0.998150, Obj: 0.514416, No Obj: 0.000279, .5R: 0.941176, .75R: 0.529412, count: 17, class_loss = 0.218490, iou_loss = 0.164791, total_loss = 0.383281 \n", + " total_bbox = 1081365, rewritten_bbox = 2.667924 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803031, GIOU: 0.795102), Class: 0.999617, Obj: 0.858052, No Obj: 0.002744, .5R: 1.000000, .75R: 0.892857, count: 28, class_loss = 0.101712, iou_loss = 0.120427, total_loss = 0.222139 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778711, GIOU: 0.772566), Class: 0.999365, Obj: 0.584432, No Obj: 0.000474, .5R: 1.000000, .75R: 0.458333, count: 24, class_loss = 0.260352, iou_loss = 0.124767, total_loss = 0.385119 \n", + " total_bbox = 1081417, rewritten_bbox = 2.667796 % \n", + "\n", + " 9744: 0.355433, 0.431655 avg loss, 0.000010 rate, 0.414404 seconds, 623616 images, 0.212547 hours left\n", + "Loaded: 1.688103 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786792, GIOU: 0.780779), Class: 0.998972, Obj: 0.728763, No Obj: 0.004005, .5R: 1.000000, .75R: 0.723404, count: 47, class_loss = 0.448960, iou_loss = 0.208339, total_loss = 0.657299 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771489, GIOU: 0.760331), Class: 0.997833, Obj: 0.599381, No Obj: 0.000294, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.163740, iou_loss = 0.083341, total_loss = 0.247081 \n", + " total_bbox = 1081478, rewritten_bbox = 2.667830 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806399, GIOU: 0.801069), Class: 0.999623, Obj: 0.719783, No Obj: 0.003064, .5R: 1.000000, .75R: 0.800000, count: 35, class_loss = 0.267236, iou_loss = 0.151187, total_loss = 0.418423 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736607, GIOU: 0.729440), Class: 0.999078, Obj: 0.640677, No Obj: 0.000373, .5R: 1.000000, .75R: 0.500000, count: 16, class_loss = 0.163950, iou_loss = 0.146750, total_loss = 0.310700 \n", + " total_bbox = 1081529, rewritten_bbox = 2.667982 % \n", + "\n", + " 9745: 0.408376, 0.429327 avg loss, 0.000010 rate, 0.362150 seconds, 623680 images, 0.212050 hours left\n", + "Loaded: 1.682299 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791844, GIOU: 0.784480), Class: 0.999410, Obj: 0.606499, No Obj: 0.002828, .5R: 1.000000, .75R: 0.666667, count: 36, class_loss = 0.461647, iou_loss = 0.167199, total_loss = 0.628846 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778419, GIOU: 0.769380), Class: 0.999290, Obj: 0.563772, No Obj: 0.000306, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.194080, iou_loss = 0.077841, total_loss = 0.271921 \n", + " total_bbox = 1081579, rewritten_bbox = 2.667951 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786661, GIOU: 0.778242), Class: 0.999665, Obj: 0.753794, No Obj: 0.002855, .5R: 1.000000, .75R: 0.666667, count: 30, class_loss = 0.260109, iou_loss = 0.124112, total_loss = 0.384222 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779571, GIOU: 0.770666), Class: 0.998876, Obj: 0.580375, No Obj: 0.000451, .5R: 1.000000, .75R: 0.636364, count: 22, class_loss = 0.242178, iou_loss = 0.115705, total_loss = 0.357883 \n", + " total_bbox = 1081631, rewritten_bbox = 2.667823 % \n", + "\n", + " 9746: 0.410718, 0.427466 avg loss, 0.000010 rate, 0.338101 seconds, 623744 images, 0.211382 hours left\n", + "Loaded: 1.757712 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785594, GIOU: 0.779156), Class: 0.999681, Obj: 0.674216, No Obj: 0.003092, .5R: 1.000000, .75R: 0.717949, count: 39, class_loss = 0.452793, iou_loss = 0.150520, total_loss = 0.603313 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721625, GIOU: 0.694678), Class: 0.998842, Obj: 0.580580, No Obj: 0.000331, .5R: 0.923077, .75R: 0.615385, count: 13, class_loss = 0.194610, iou_loss = 0.161976, total_loss = 0.356586 \n", + " total_bbox = 1081683, rewritten_bbox = 2.667695 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788423, GIOU: 0.778073), Class: 0.999512, Obj: 0.706827, No Obj: 0.004016, .5R: 0.977778, .75R: 0.800000, count: 45, class_loss = 0.419479, iou_loss = 0.251130, total_loss = 0.670609 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795692, GIOU: 0.791023), Class: 0.998622, Obj: 0.546287, No Obj: 0.000400, .5R: 1.000000, .75R: 0.800000, count: 20, class_loss = 0.294804, iou_loss = 0.086623, total_loss = 0.381427 \n", + " total_bbox = 1081748, rewritten_bbox = 2.667534 % \n", + "\n", + " 9747: 0.502984, 0.435018 avg loss, 0.000010 rate, 0.404620 seconds, 623808 images, 0.210693 hours left\n", + "Loaded: 1.617533 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795599, GIOU: 0.789944), Class: 0.999174, Obj: 0.681650, No Obj: 0.002198, .5R: 1.000000, .75R: 0.782609, count: 23, class_loss = 0.237518, iou_loss = 0.102786, total_loss = 0.340303 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.706520, GIOU: 0.689359), Class: 0.997687, Obj: 0.578243, No Obj: 0.000501, .5R: 0.857143, .75R: 0.500000, count: 28, class_loss = 0.343568, iou_loss = 0.305250, total_loss = 0.648818 \n", + " total_bbox = 1081799, rewritten_bbox = 2.667501 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795477, GIOU: 0.788738), Class: 0.999683, Obj: 0.664335, No Obj: 0.002801, .5R: 1.000000, .75R: 0.741935, count: 31, class_loss = 0.386372, iou_loss = 0.133396, total_loss = 0.519768 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761451, GIOU: 0.754074), Class: 0.998964, Obj: 0.613294, No Obj: 0.000642, .5R: 0.972973, .75R: 0.621622, count: 37, class_loss = 0.326030, iou_loss = 0.242360, total_loss = 0.568391 \n", + " total_bbox = 1081867, rewritten_bbox = 2.667611 % \n", + "\n", + " 9748: 0.519320, 0.443448 avg loss, 0.000010 rate, 0.387991 seconds, 623872 images, 0.210106 hours left\n", + "Loaded: 1.567971 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801337, GIOU: 0.797249), Class: 0.999666, Obj: 0.826692, No Obj: 0.002340, .5R: 1.000000, .75R: 0.760000, count: 25, class_loss = 0.179591, iou_loss = 0.090995, total_loss = 0.270586 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761894, GIOU: 0.754810), Class: 0.998729, Obj: 0.623994, No Obj: 0.000408, .5R: 1.000000, .75R: 0.619048, count: 21, class_loss = 0.203859, iou_loss = 0.134995, total_loss = 0.338854 \n", + " total_bbox = 1081913, rewritten_bbox = 2.667590 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780312, GIOU: 0.772224), Class: 0.999228, Obj: 0.589642, No Obj: 0.003374, .5R: 0.980769, .75R: 0.692308, count: 52, class_loss = 0.539400, iou_loss = 0.278069, total_loss = 0.817470 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.684118, GIOU: 0.666874), Class: 0.990808, Obj: 0.528494, No Obj: 0.000268, .5R: 0.928571, .75R: 0.285714, count: 14, class_loss = 0.204461, iou_loss = 0.147145, total_loss = 0.351606 \n", + " total_bbox = 1081979, rewritten_bbox = 2.667519 % \n", + "\n", + " 9749: 0.444629, 0.443566 avg loss, 0.000010 rate, 0.372819 seconds, 623936 images, 0.209433 hours left\n", + "Loaded: 1.635359 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791953, GIOU: 0.786350), Class: 0.999559, Obj: 0.770627, No Obj: 0.003085, .5R: 1.000000, .75R: 0.694444, count: 36, class_loss = 0.220844, iou_loss = 0.129941, total_loss = 0.350784 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782975, GIOU: 0.775527), Class: 0.999069, Obj: 0.663602, No Obj: 0.000602, .5R: 0.965517, .75R: 0.758621, count: 29, class_loss = 0.310751, iou_loss = 0.176786, total_loss = 0.487537 \n", + " total_bbox = 1082044, rewritten_bbox = 2.667544 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.820700, GIOU: 0.813188), Class: 0.999580, Obj: 0.776900, No Obj: 0.003170, .5R: 0.968750, .75R: 0.906250, count: 32, class_loss = 0.211404, iou_loss = 0.130785, total_loss = 0.342189 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741916, GIOU: 0.730875), Class: 0.994548, Obj: 0.682169, No Obj: 0.000730, .5R: 0.947368, .75R: 0.500000, count: 38, class_loss = 0.400495, iou_loss = 0.303136, total_loss = 0.703630 \n", + " total_bbox = 1082114, rewritten_bbox = 2.667649 % \n", + "\n", + " 9750: 0.471035, 0.446313 avg loss, 0.000010 rate, 0.410363 seconds, 624000 images, 0.208692 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 384 x 384 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.633479 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792219, GIOU: 0.785486), Class: 0.999305, Obj: 0.667874, No Obj: 0.002623, .5R: 1.000000, .75R: 0.814815, count: 27, class_loss = 0.341962, iou_loss = 0.125689, total_loss = 0.467651 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743842, GIOU: 0.733003), Class: 0.996431, Obj: 0.633224, No Obj: 0.000741, .5R: 0.967742, .75R: 0.580645, count: 31, class_loss = 0.377646, iou_loss = 0.206496, total_loss = 0.584142 \n", + " total_bbox = 1082172, rewritten_bbox = 2.667691 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794121, GIOU: 0.788629), Class: 0.999411, Obj: 0.688491, No Obj: 0.003633, .5R: 1.000000, .75R: 0.694444, count: 36, class_loss = 0.346717, iou_loss = 0.168860, total_loss = 0.515577 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746023, GIOU: 0.737512), Class: 0.998271, Obj: 0.660998, No Obj: 0.000648, .5R: 0.961538, .75R: 0.538462, count: 26, class_loss = 0.236590, iou_loss = 0.211178, total_loss = 0.447769 \n", + " total_bbox = 1082234, rewritten_bbox = 2.667815 % \n", + "\n", + " 9751: 0.503785, 0.452060 avg loss, 0.000010 rate, 0.333660 seconds, 624064 images, 0.208026 hours left\n", + "Loaded: 2.189065 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792326, GIOU: 0.787793), Class: 0.999806, Obj: 0.757197, No Obj: 0.003272, .5R: 1.000000, .75R: 0.727273, count: 33, class_loss = 0.225882, iou_loss = 0.131921, total_loss = 0.357803 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738612, GIOU: 0.729148), Class: 0.998846, Obj: 0.514705, No Obj: 0.000373, .5R: 0.944444, .75R: 0.500000, count: 18, class_loss = 0.239367, iou_loss = 0.133752, total_loss = 0.373119 \n", + " total_bbox = 1082285, rewritten_bbox = 2.667782 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788414, GIOU: 0.782686), Class: 0.999777, Obj: 0.813551, No Obj: 0.002839, .5R: 1.000000, .75R: 0.703704, count: 27, class_loss = 0.121521, iou_loss = 0.122287, total_loss = 0.243808 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741979, GIOU: 0.718190), Class: 0.996872, Obj: 0.635302, No Obj: 0.000570, .5R: 0.958333, .75R: 0.541667, count: 24, class_loss = 0.270357, iou_loss = 0.135820, total_loss = 0.406177 \n", + " total_bbox = 1082336, rewritten_bbox = 2.667841 % \n", + "\n", + " 9752: 0.345226, 0.441377 avg loss, 0.000010 rate, 0.288244 seconds, 624128 images, 0.207308 hours left\n", + "Loaded: 1.698550 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759110, GIOU: 0.749969), Class: 0.999399, Obj: 0.704128, No Obj: 0.002984, .5R: 1.000000, .75R: 0.583333, count: 36, class_loss = 0.355856, iou_loss = 0.276886, total_loss = 0.632742 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784425, GIOU: 0.776633), Class: 0.995706, Obj: 0.661459, No Obj: 0.000698, .5R: 1.000000, .75R: 0.689655, count: 29, class_loss = 0.225651, iou_loss = 0.130481, total_loss = 0.356132 \n", + " total_bbox = 1082401, rewritten_bbox = 2.667958 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785352, GIOU: 0.778365), Class: 0.999561, Obj: 0.697549, No Obj: 0.003197, .5R: 1.000000, .75R: 0.750000, count: 32, class_loss = 0.298769, iou_loss = 0.147699, total_loss = 0.446467 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746822, GIOU: 0.739315), Class: 0.999270, Obj: 0.631326, No Obj: 0.000583, .5R: 1.000000, .75R: 0.428571, count: 21, class_loss = 0.338814, iou_loss = 0.160315, total_loss = 0.499128 \n", + " total_bbox = 1082454, rewritten_bbox = 2.667827 % \n", + "\n", + " 9753: 0.483618, 0.445601 avg loss, 0.000010 rate, 0.341416 seconds, 624192 images, 0.206947 hours left\n", + "Loaded: 1.695609 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788313, GIOU: 0.779266), Class: 0.999529, Obj: 0.659328, No Obj: 0.002983, .5R: 1.000000, .75R: 0.727273, count: 33, class_loss = 0.269329, iou_loss = 0.161530, total_loss = 0.430860 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773708, GIOU: 0.764957), Class: 0.998109, Obj: 0.550201, No Obj: 0.000466, .5R: 1.000000, .75R: 0.666667, count: 24, class_loss = 0.282661, iou_loss = 0.130451, total_loss = 0.413112 \n", + " total_bbox = 1082511, rewritten_bbox = 2.667686 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.747810, GIOU: 0.732240), Class: 0.999479, Obj: 0.709975, No Obj: 0.002746, .5R: 0.920000, .75R: 0.600000, count: 25, class_loss = 0.303461, iou_loss = 0.220154, total_loss = 0.523616 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770046, GIOU: 0.756532), Class: 0.998959, Obj: 0.609563, No Obj: 0.000433, .5R: 0.950000, .75R: 0.600000, count: 20, class_loss = 0.216655, iou_loss = 0.147800, total_loss = 0.364456 \n", + " total_bbox = 1082556, rewritten_bbox = 2.667853 % \n", + "\n", + " 9754: 0.433011, 0.444342 avg loss, 0.000010 rate, 0.312674 seconds, 624256 images, 0.206278 hours left\n", + "Loaded: 1.536724 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798325, GIOU: 0.792169), Class: 0.999603, Obj: 0.773781, No Obj: 0.003482, .5R: 1.000000, .75R: 0.774194, count: 31, class_loss = 0.210561, iou_loss = 0.143953, total_loss = 0.354514 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733887, GIOU: 0.712779), Class: 0.992622, Obj: 0.513106, No Obj: 0.000497, .5R: 0.950000, .75R: 0.600000, count: 20, class_loss = 0.317552, iou_loss = 0.226102, total_loss = 0.543653 \n", + " total_bbox = 1082607, rewritten_bbox = 2.667727 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804918, GIOU: 0.798900), Class: 0.999678, Obj: 0.779263, No Obj: 0.003095, .5R: 1.000000, .75R: 0.777778, count: 36, class_loss = 0.254463, iou_loss = 0.153538, total_loss = 0.408001 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756469, GIOU: 0.748600), Class: 0.999053, Obj: 0.649728, No Obj: 0.000562, .5R: 1.000000, .75R: 0.571429, count: 21, class_loss = 0.243918, iou_loss = 0.135869, total_loss = 0.379787 \n", + " total_bbox = 1082664, rewritten_bbox = 2.668233 % \n", + "\n", + " 9755: 0.421489, 0.442057 avg loss, 0.000010 rate, 0.309710 seconds, 624320 images, 0.205587 hours left\n", + "Loaded: 1.550282 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801296, GIOU: 0.793148), Class: 0.999652, Obj: 0.768091, No Obj: 0.003011, .5R: 0.965517, .75R: 0.827586, count: 29, class_loss = 0.187152, iou_loss = 0.142196, total_loss = 0.329348 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763204, GIOU: 0.752303), Class: 0.998703, Obj: 0.637713, No Obj: 0.000544, .5R: 1.000000, .75R: 0.629630, count: 27, class_loss = 0.246894, iou_loss = 0.169837, total_loss = 0.416730 \n", + " total_bbox = 1082720, rewritten_bbox = 2.668188 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799039, GIOU: 0.793315), Class: 0.999659, Obj: 0.766765, No Obj: 0.003308, .5R: 1.000000, .75R: 0.777778, count: 27, class_loss = 0.163898, iou_loss = 0.106758, total_loss = 0.270656 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738528, GIOU: 0.729492), Class: 0.998828, Obj: 0.510918, No Obj: 0.000668, .5R: 0.933333, .75R: 0.566667, count: 30, class_loss = 0.475542, iou_loss = 0.241734, total_loss = 0.717277 \n", + " total_bbox = 1082777, rewritten_bbox = 2.668047 % \n", + "\n", + " 9756: 0.433503, 0.441201 avg loss, 0.000010 rate, 0.298734 seconds, 624384 images, 0.204788 hours left\n", + "Loaded: 1.634070 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765368, GIOU: 0.758780), Class: 0.999640, Obj: 0.666574, No Obj: 0.002814, .5R: 0.964286, .75R: 0.607143, count: 28, class_loss = 0.268199, iou_loss = 0.148277, total_loss = 0.416477 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780436, GIOU: 0.771197), Class: 0.998849, Obj: 0.552294, No Obj: 0.000636, .5R: 1.000000, .75R: 0.677419, count: 31, class_loss = 0.412970, iou_loss = 0.149456, total_loss = 0.562426 \n", + " total_bbox = 1082836, rewritten_bbox = 2.668086 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791844, GIOU: 0.784679), Class: 0.999806, Obj: 0.770809, No Obj: 0.002663, .5R: 1.000000, .75R: 0.692308, count: 26, class_loss = 0.179225, iou_loss = 0.109778, total_loss = 0.289003 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.702092, GIOU: 0.683864), Class: 0.999311, Obj: 0.439783, No Obj: 0.000563, .5R: 0.900000, .75R: 0.400000, count: 30, class_loss = 0.528830, iou_loss = 0.376555, total_loss = 0.905385 \n", + " total_bbox = 1082892, rewritten_bbox = 2.667948 % \n", + "\n", + " 9757: 0.543323, 0.451413 avg loss, 0.000010 rate, 0.314144 seconds, 624448 images, 0.203993 hours left\n", + "Loaded: 1.731922 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803966, GIOU: 0.796151), Class: 0.999570, Obj: 0.722342, No Obj: 0.003284, .5R: 0.971429, .75R: 0.771429, count: 35, class_loss = 0.234319, iou_loss = 0.161341, total_loss = 0.395660 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756748, GIOU: 0.750815), Class: 0.998345, Obj: 0.660843, No Obj: 0.000548, .5R: 1.000000, .75R: 0.500000, count: 22, class_loss = 0.158663, iou_loss = 0.148817, total_loss = 0.307480 \n", + " total_bbox = 1082949, rewritten_bbox = 2.667900 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798615, GIOU: 0.792002), Class: 0.999806, Obj: 0.739237, No Obj: 0.002609, .5R: 1.000000, .75R: 0.666667, count: 24, class_loss = 0.176904, iou_loss = 0.105540, total_loss = 0.282444 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762189, GIOU: 0.750702), Class: 0.999142, Obj: 0.569176, No Obj: 0.000453, .5R: 1.000000, .75R: 0.526316, count: 19, class_loss = 0.245174, iou_loss = 0.104332, total_loss = 0.349506 \n", + " total_bbox = 1082992, rewritten_bbox = 2.667794 % \n", + "\n", + " 9758: 0.333772, 0.439649 avg loss, 0.000010 rate, 0.304295 seconds, 624512 images, 0.203268 hours left\n", + "Loaded: 1.726704 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780020, GIOU: 0.772243), Class: 0.999745, Obj: 0.874693, No Obj: 0.002948, .5R: 1.000000, .75R: 0.727273, count: 22, class_loss = 0.139865, iou_loss = 0.130609, total_loss = 0.270474 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759882, GIOU: 0.752019), Class: 0.999321, Obj: 0.618444, No Obj: 0.000625, .5R: 1.000000, .75R: 0.464286, count: 28, class_loss = 0.291216, iou_loss = 0.182484, total_loss = 0.473700 \n", + " total_bbox = 1083042, rewritten_bbox = 2.667948 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.753588, GIOU: 0.743066), Class: 0.999214, Obj: 0.670247, No Obj: 0.002785, .5R: 1.000000, .75R: 0.535714, count: 28, class_loss = 0.251858, iou_loss = 0.222841, total_loss = 0.474698 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764325, GIOU: 0.755595), Class: 0.999026, Obj: 0.618242, No Obj: 0.000532, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.267749, iou_loss = 0.141039, total_loss = 0.408788 \n", + " total_bbox = 1083093, rewritten_bbox = 2.667823 % \n", + "\n", + " 9759: 0.406915, 0.436376 avg loss, 0.000010 rate, 0.318862 seconds, 624576 images, 0.202611 hours left\n", + "Loaded: 1.603659 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790323, GIOU: 0.782187), Class: 0.999622, Obj: 0.704982, No Obj: 0.002797, .5R: 1.000000, .75R: 0.666667, count: 27, class_loss = 0.241617, iou_loss = 0.143304, total_loss = 0.384921 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775507, GIOU: 0.769502), Class: 0.996728, Obj: 0.550053, No Obj: 0.000511, .5R: 1.000000, .75R: 0.761905, count: 21, class_loss = 0.256301, iou_loss = 0.103443, total_loss = 0.359744 \n", + " total_bbox = 1083141, rewritten_bbox = 2.667704 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795115, GIOU: 0.787649), Class: 0.999686, Obj: 0.756771, No Obj: 0.003660, .5R: 1.000000, .75R: 0.787879, count: 33, class_loss = 0.308085, iou_loss = 0.152893, total_loss = 0.460978 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736052, GIOU: 0.721991), Class: 0.996318, Obj: 0.559264, No Obj: 0.000542, .5R: 1.000000, .75R: 0.333333, count: 27, class_loss = 0.457536, iou_loss = 0.227391, total_loss = 0.684926 \n", + " total_bbox = 1083201, rewritten_bbox = 2.667834 % \n", + "\n", + " 9760: 0.472642, 0.440002 avg loss, 0.000010 rate, 0.304755 seconds, 624640 images, 0.201955 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.171563 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800581, GIOU: 0.793135), Class: 0.999646, Obj: 0.786828, No Obj: 0.002722, .5R: 0.980000, .75R: 0.660000, count: 50, class_loss = 0.273798, iou_loss = 0.282100, total_loss = 0.555899 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746092, GIOU: 0.715704), Class: 0.990821, Obj: 0.422708, No Obj: 0.000157, .5R: 0.928571, .75R: 0.642857, count: 14, class_loss = 0.196902, iou_loss = 0.211382, total_loss = 0.408284 \n", + " total_bbox = 1083265, rewritten_bbox = 2.668138 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784045, GIOU: 0.777586), Class: 0.999359, Obj: 0.755719, No Obj: 0.002770, .5R: 0.975610, .75R: 0.682927, count: 41, class_loss = 0.287403, iou_loss = 0.290083, total_loss = 0.577486 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784173, GIOU: 0.770281), Class: 0.997618, Obj: 0.505554, No Obj: 0.000255, .5R: 0.947368, .75R: 0.842105, count: 19, class_loss = 0.347427, iou_loss = 0.159558, total_loss = 0.506985 \n", + " total_bbox = 1083325, rewritten_bbox = 2.668082 % \n", + "\n", + " 9761: 0.512164, 0.447219 avg loss, 0.000010 rate, 0.750863 seconds, 624704 images, 0.201207 hours left\n", + "Loaded: 1.814472 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771513, GIOU: 0.760716), Class: 0.999140, Obj: 0.665740, No Obj: 0.002069, .5R: 0.972973, .75R: 0.675676, count: 37, class_loss = 0.367571, iou_loss = 0.247667, total_loss = 0.615238 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747271, GIOU: 0.728231), Class: 0.989271, Obj: 0.443094, No Obj: 0.000119, .5R: 0.888889, .75R: 0.666667, count: 9, class_loss = 0.147505, iou_loss = 0.070944, total_loss = 0.218450 \n", + " total_bbox = 1083371, rewritten_bbox = 2.668061 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793565, GIOU: 0.788433), Class: 0.999561, Obj: 0.692532, No Obj: 0.002470, .5R: 1.000000, .75R: 0.692308, count: 39, class_loss = 0.330934, iou_loss = 0.196790, total_loss = 0.527724 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807754, GIOU: 0.804475), Class: 0.999511, Obj: 0.646613, No Obj: 0.000182, .5R: 1.000000, .75R: 0.800000, count: 10, class_loss = 0.100331, iou_loss = 0.037313, total_loss = 0.137644 \n", + " total_bbox = 1083420, rewritten_bbox = 2.668217 % \n", + "\n", + " 9762: 0.374764, 0.439973 avg loss, 0.000010 rate, 0.571358 seconds, 624768 images, 0.199808 hours left\n", + "Loaded: 1.832147 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803151, GIOU: 0.796941), Class: 0.999667, Obj: 0.642369, No Obj: 0.002187, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.427902, iou_loss = 0.169950, total_loss = 0.597852 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.786110, GIOU: 0.781238), Class: 0.999209, Obj: 0.583337, No Obj: 0.000204, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.173800, iou_loss = 0.060354, total_loss = 0.234154 \n", + " total_bbox = 1083471, rewritten_bbox = 2.668184 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805882, GIOU: 0.799873), Class: 0.999627, Obj: 0.812160, No Obj: 0.002876, .5R: 0.975000, .75R: 0.725000, count: 40, class_loss = 0.260447, iou_loss = 0.193494, total_loss = 0.453941 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783113, GIOU: 0.777651), Class: 0.999663, Obj: 0.562580, No Obj: 0.000223, .5R: 1.000000, .75R: 0.631579, count: 19, class_loss = 0.173207, iou_loss = 0.122876, total_loss = 0.296083 \n", + " total_bbox = 1083530, rewritten_bbox = 2.668223 % \n", + "\n", + " 9763: 0.395508, 0.435527 avg loss, 0.000010 rate, 0.706479 seconds, 624832 images, 0.199387 hours left\n", + "Loaded: 1.893549 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768874, GIOU: 0.752084), Class: 0.999333, Obj: 0.649076, No Obj: 0.002392, .5R: 0.950000, .75R: 0.700000, count: 40, class_loss = 0.425474, iou_loss = 0.518265, total_loss = 0.943739 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.727218, GIOU: 0.713901), Class: 0.994111, Obj: 0.403005, No Obj: 0.000261, .5R: 1.000000, .75R: 0.470588, count: 17, class_loss = 0.312902, iou_loss = 0.145372, total_loss = 0.458274 \n", + " total_bbox = 1083587, rewritten_bbox = 2.668083 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795287, GIOU: 0.789797), Class: 0.999390, Obj: 0.653756, No Obj: 0.002817, .5R: 1.000000, .75R: 0.673913, count: 46, class_loss = 0.447573, iou_loss = 0.261043, total_loss = 0.708617 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767030, GIOU: 0.761084), Class: 0.999547, Obj: 0.299276, No Obj: 0.000125, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.281083, iou_loss = 0.099229, total_loss = 0.380312 \n", + " total_bbox = 1083646, rewritten_bbox = 2.668122 % \n", + "\n", + " 9764: 0.622735, 0.454247 avg loss, 0.000010 rate, 0.587717 seconds, 624896 images, 0.199064 hours left\n", + "Loaded: 1.739732 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791600, GIOU: 0.783287), Class: 0.999145, Obj: 0.690638, No Obj: 0.002496, .5R: 1.000000, .75R: 0.642857, count: 42, class_loss = 0.404815, iou_loss = 0.221415, total_loss = 0.626231 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770513, GIOU: 0.762479), Class: 0.999900, Obj: 0.771064, No Obj: 0.000115, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.052276, iou_loss = 0.087592, total_loss = 0.139869 \n", + " total_bbox = 1083696, rewritten_bbox = 2.668092 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800481, GIOU: 0.794360), Class: 0.999216, Obj: 0.793246, No Obj: 0.002698, .5R: 1.000000, .75R: 0.787234, count: 47, class_loss = 0.287064, iou_loss = 0.232435, total_loss = 0.519498 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.704243, GIOU: 0.684994), Class: 0.999585, Obj: 0.649393, No Obj: 0.000107, .5R: 1.000000, .75R: 0.142857, count: 7, class_loss = 0.112896, iou_loss = 0.053757, total_loss = 0.166653 \n", + " total_bbox = 1083750, rewritten_bbox = 2.668143 % \n", + "\n", + " 9765: 0.363063, 0.445129 avg loss, 0.000010 rate, 0.544640 seconds, 624960 images, 0.198700 hours left\n", + "Loaded: 1.993003 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775144, GIOU: 0.765714), Class: 0.999527, Obj: 0.645637, No Obj: 0.001930, .5R: 1.000000, .75R: 0.617647, count: 34, class_loss = 0.361508, iou_loss = 0.198661, total_loss = 0.560169 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754572, GIOU: 0.741937), Class: 0.999489, Obj: 0.486833, No Obj: 0.000140, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.192171, iou_loss = 0.080592, total_loss = 0.272763 \n", + " total_bbox = 1083796, rewritten_bbox = 2.668307 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.820810, GIOU: 0.815211), Class: 0.999462, Obj: 0.814578, No Obj: 0.002827, .5R: 1.000000, .75R: 0.818182, count: 44, class_loss = 0.214003, iou_loss = 0.189793, total_loss = 0.403796 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758027, GIOU: 0.746870), Class: 0.999668, Obj: 0.537964, No Obj: 0.000197, .5R: 0.928571, .75R: 0.500000, count: 14, class_loss = 0.205063, iou_loss = 0.127750, total_loss = 0.332813 \n", + " total_bbox = 1083854, rewritten_bbox = 2.668348 % \n", + "\n", + " 9766: 0.392385, 0.439855 avg loss, 0.000010 rate, 0.601845 seconds, 625024 images, 0.198205 hours left\n", + "Loaded: 1.803265 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798290, GIOU: 0.791919), Class: 0.999269, Obj: 0.684225, No Obj: 0.002701, .5R: 0.978723, .75R: 0.744681, count: 47, class_loss = 0.409443, iou_loss = 0.250864, total_loss = 0.660307 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773199, GIOU: 0.768153), Class: 0.999810, Obj: 0.848265, No Obj: 0.000206, .5R: 1.000000, .75R: 0.818182, count: 11, class_loss = 0.058727, iou_loss = 0.055782, total_loss = 0.114509 \n", + " total_bbox = 1083912, rewritten_bbox = 2.668482 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794493, GIOU: 0.786884), Class: 0.999355, Obj: 0.702300, No Obj: 0.002749, .5R: 0.977778, .75R: 0.733333, count: 45, class_loss = 0.422275, iou_loss = 0.224895, total_loss = 0.647170 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793919, GIOU: 0.787825), Class: 0.998567, Obj: 0.535804, No Obj: 0.000169, .5R: 1.000000, .75R: 0.750000, count: 16, class_loss = 0.188101, iou_loss = 0.090617, total_loss = 0.278718 \n", + " total_bbox = 1083973, rewritten_bbox = 2.668609 % \n", + "\n", + " 9767: 0.425176, 0.438387 avg loss, 0.000010 rate, 0.664370 seconds, 625088 images, 0.197909 hours left\n", + "Loaded: 1.842309 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779202, GIOU: 0.768039), Class: 0.997284, Obj: 0.636650, No Obj: 0.002667, .5R: 0.976744, .75R: 0.720930, count: 43, class_loss = 0.472328, iou_loss = 0.306607, total_loss = 0.778935 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.717215, GIOU: 0.706076), Class: 0.998246, Obj: 0.604788, No Obj: 0.000110, .5R: 0.875000, .75R: 0.500000, count: 8, class_loss = 0.086849, iou_loss = 0.091559, total_loss = 0.178408 \n", + " total_bbox = 1084024, rewritten_bbox = 2.668576 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803302, GIOU: 0.796676), Class: 0.998561, Obj: 0.695653, No Obj: 0.002743, .5R: 1.000000, .75R: 0.700000, count: 50, class_loss = 0.441408, iou_loss = 0.255815, total_loss = 0.697223 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803569, GIOU: 0.797208), Class: 0.999627, Obj: 0.806669, No Obj: 0.000100, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.038288, iou_loss = 0.025627, total_loss = 0.063915 \n", + " total_bbox = 1084081, rewritten_bbox = 2.668620 % \n", + "\n", + " 9768: 0.429620, 0.437510 avg loss, 0.000010 rate, 0.568780 seconds, 625152 images, 0.197527 hours left\n", + "Loaded: 1.754344 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782419, GIOU: 0.774763), Class: 0.999750, Obj: 0.682187, No Obj: 0.002379, .5R: 0.976191, .75R: 0.642857, count: 42, class_loss = 0.376615, iou_loss = 0.275589, total_loss = 0.652205 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771815, GIOU: 0.766790), Class: 0.999543, Obj: 0.620703, No Obj: 0.000198, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.110559, iou_loss = 0.092731, total_loss = 0.203290 \n", + " total_bbox = 1084136, rewritten_bbox = 2.668484 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791471, GIOU: 0.786783), Class: 0.999523, Obj: 0.732508, No Obj: 0.002263, .5R: 1.000000, .75R: 0.714286, count: 35, class_loss = 0.301077, iou_loss = 0.158343, total_loss = 0.459420 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769852, GIOU: 0.762235), Class: 0.999536, Obj: 0.441160, No Obj: 0.000131, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.153673, iou_loss = 0.065834, total_loss = 0.219506 \n", + " total_bbox = 1084180, rewritten_bbox = 2.668376 % \n", + "\n", + " 9769: 0.383605, 0.432120 avg loss, 0.000010 rate, 0.732282 seconds, 625216 images, 0.197106 hours left\n", + "Loaded: 1.813836 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817513, GIOU: 0.812500), Class: 0.999607, Obj: 0.695905, No Obj: 0.002876, .5R: 1.000000, .75R: 0.847826, count: 46, class_loss = 0.452876, iou_loss = 0.195427, total_loss = 0.648303 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.745947, GIOU: 0.738598), Class: 0.999236, Obj: 0.591819, No Obj: 0.000139, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.115927, iou_loss = 0.081997, total_loss = 0.197924 \n", + " total_bbox = 1084237, rewritten_bbox = 2.668605 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805049, GIOU: 0.800152), Class: 0.999647, Obj: 0.755660, No Obj: 0.002884, .5R: 1.000000, .75R: 0.744681, count: 47, class_loss = 0.338326, iou_loss = 0.222422, total_loss = 0.560748 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778235, GIOU: 0.775062), Class: 0.999494, Obj: 0.663109, No Obj: 0.000156, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.057393, iou_loss = 0.041136, total_loss = 0.098529 \n", + " total_bbox = 1084291, rewritten_bbox = 2.668564 % \n", + "\n", + " 9770: 0.376376, 0.426545 avg loss, 0.000010 rate, 0.542058 seconds, 625280 images, 0.196734 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.711870 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808280, GIOU: 0.803600), Class: 0.999459, Obj: 0.658439, No Obj: 0.002119, .5R: 1.000000, .75R: 0.750000, count: 32, class_loss = 0.331354, iou_loss = 0.137149, total_loss = 0.468503 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783250, GIOU: 0.772333), Class: 0.991160, Obj: 0.626022, No Obj: 0.000177, .5R: 0.937500, .75R: 0.687500, count: 16, class_loss = 0.132729, iou_loss = 0.112480, total_loss = 0.245209 \n", + " total_bbox = 1084339, rewritten_bbox = 2.668538 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804726, GIOU: 0.797351), Class: 0.999404, Obj: 0.677671, No Obj: 0.002066, .5R: 1.000000, .75R: 0.676471, count: 34, class_loss = 0.361208, iou_loss = 0.168561, total_loss = 0.529769 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753537, GIOU: 0.739434), Class: 0.999364, Obj: 0.564964, No Obj: 0.000196, .5R: 0.933333, .75R: 0.600000, count: 15, class_loss = 0.220663, iou_loss = 0.125720, total_loss = 0.346383 \n", + " total_bbox = 1084388, rewritten_bbox = 2.668418 % \n", + "\n", + " 9771: 0.397466, 0.423637 avg loss, 0.000010 rate, 0.511013 seconds, 625344 images, 0.196272 hours left\n", + "Loaded: 1.925778 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811171, GIOU: 0.804025), Class: 0.999424, Obj: 0.738990, No Obj: 0.002687, .5R: 1.000000, .75R: 0.804348, count: 46, class_loss = 0.317243, iou_loss = 0.217013, total_loss = 0.534255 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.817521, GIOU: 0.810795), Class: 0.999088, Obj: 0.441705, No Obj: 0.000092, .5R: 1.000000, .75R: 0.700000, count: 10, class_loss = 0.135058, iou_loss = 0.048535, total_loss = 0.183593 \n", + " total_bbox = 1084444, rewritten_bbox = 2.668372 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811624, GIOU: 0.808217), Class: 0.999694, Obj: 0.724099, No Obj: 0.002964, .5R: 1.000000, .75R: 0.822222, count: 45, class_loss = 0.440749, iou_loss = 0.191798, total_loss = 0.632548 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750371, GIOU: 0.737141), Class: 0.999328, Obj: 0.689362, No Obj: 0.000123, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.085631, iou_loss = 0.055184, total_loss = 0.140815 \n", + " total_bbox = 1084496, rewritten_bbox = 2.668336 % \n", + "\n", + " 9772: 0.372803, 0.418554 avg loss, 0.000010 rate, 0.635080 seconds, 625408 images, 0.195723 hours left\n", + "Loaded: 1.681552 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806331, GIOU: 0.801650), Class: 0.999472, Obj: 0.711365, No Obj: 0.002780, .5R: 0.976744, .75R: 0.813953, count: 43, class_loss = 0.450610, iou_loss = 0.214911, total_loss = 0.665522 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.622329, GIOU: 0.592662), Class: 0.994659, Obj: 0.352502, No Obj: 0.000089, .5R: 0.857143, .75R: 0.000000, count: 7, class_loss = 0.152877, iou_loss = 0.168074, total_loss = 0.320951 \n", + " total_bbox = 1084546, rewritten_bbox = 2.668213 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.820261, GIOU: 0.816027), Class: 0.999665, Obj: 0.718721, No Obj: 0.002628, .5R: 1.000000, .75R: 0.804878, count: 41, class_loss = 0.313169, iou_loss = 0.155627, total_loss = 0.468796 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780879, GIOU: 0.774345), Class: 0.999290, Obj: 0.685915, No Obj: 0.000159, .5R: 1.000000, .75R: 0.700000, count: 10, class_loss = 0.113199, iou_loss = 0.051864, total_loss = 0.165063 \n", + " total_bbox = 1084597, rewritten_bbox = 2.668088 % \n", + "\n", + " 9773: 0.405083, 0.417207 avg loss, 0.000010 rate, 0.711561 seconds, 625472 images, 0.195388 hours left\n", + "Loaded: 2.020190 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808555, GIOU: 0.802667), Class: 0.999458, Obj: 0.741506, No Obj: 0.002364, .5R: 1.000000, .75R: 0.815789, count: 38, class_loss = 0.263529, iou_loss = 0.210123, total_loss = 0.473651 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809057, GIOU: 0.802803), Class: 0.999615, Obj: 0.798320, No Obj: 0.000143, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.059919, iou_loss = 0.035525, total_loss = 0.095444 \n", + " total_bbox = 1084643, rewritten_bbox = 2.668159 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815571, GIOU: 0.810505), Class: 0.999654, Obj: 0.676752, No Obj: 0.002801, .5R: 1.000000, .75R: 0.777778, count: 45, class_loss = 0.514490, iou_loss = 0.195803, total_loss = 0.710293 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696355, GIOU: 0.661407), Class: 0.991276, Obj: 0.595646, No Obj: 0.000238, .5R: 0.842105, .75R: 0.631579, count: 19, class_loss = 0.206809, iou_loss = 0.276246, total_loss = 0.483055 \n", + " total_bbox = 1084707, rewritten_bbox = 2.668094 % \n", + "\n", + " 9774: 0.440611, 0.419547 avg loss, 0.000010 rate, 0.562443 seconds, 625536 images, 0.194945 hours left\n", + "Loaded: 1.653537 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799732, GIOU: 0.793367), Class: 0.999292, Obj: 0.661386, No Obj: 0.002823, .5R: 1.000000, .75R: 0.775000, count: 40, class_loss = 0.454060, iou_loss = 0.183061, total_loss = 0.637122 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777013, GIOU: 0.768694), Class: 0.998884, Obj: 0.657121, No Obj: 0.000197, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.139496, iou_loss = 0.076764, total_loss = 0.216260 \n", + " total_bbox = 1084761, rewritten_bbox = 2.668053 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786503, GIOU: 0.778721), Class: 0.999601, Obj: 0.746414, No Obj: 0.002546, .5R: 1.000000, .75R: 0.652174, count: 46, class_loss = 0.291641, iou_loss = 0.239689, total_loss = 0.531330 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743241, GIOU: 0.734860), Class: 0.999157, Obj: 0.570661, No Obj: 0.000114, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.085245, iou_loss = 0.082828, total_loss = 0.168073 \n", + " total_bbox = 1084815, rewritten_bbox = 2.668105 % \n", + "\n", + " 9775: 0.388196, 0.416412 avg loss, 0.000010 rate, 0.637734 seconds, 625600 images, 0.194626 hours left\n", + "Loaded: 1.631535 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.751069, GIOU: 0.737396), Class: 0.999114, Obj: 0.553540, No Obj: 0.002310, .5R: 0.955556, .75R: 0.600000, count: 45, class_loss = 0.570519, iou_loss = 0.358970, total_loss = 0.929490 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755076, GIOU: 0.734948), Class: 0.996968, Obj: 0.560859, No Obj: 0.000202, .5R: 0.909091, .75R: 0.636364, count: 11, class_loss = 0.187322, iou_loss = 0.122431, total_loss = 0.309753 \n", + " total_bbox = 1084871, rewritten_bbox = 2.668151 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784526, GIOU: 0.776347), Class: 0.998971, Obj: 0.550039, No Obj: 0.001964, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.507248, iou_loss = 0.195657, total_loss = 0.702905 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749998, GIOU: 0.739351), Class: 0.998857, Obj: 0.494075, No Obj: 0.000175, .5R: 1.000000, .75R: 0.538462, count: 13, class_loss = 0.221930, iou_loss = 0.076793, total_loss = 0.298724 \n", + " total_bbox = 1084924, rewritten_bbox = 2.668021 % \n", + "\n", + " 9776: 0.560218, 0.430793 avg loss, 0.000010 rate, 0.613330 seconds, 625664 images, 0.194112 hours left\n", + "Loaded: 1.825331 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.822416, GIOU: 0.817262), Class: 0.999683, Obj: 0.785677, No Obj: 0.002584, .5R: 1.000000, .75R: 0.794872, count: 39, class_loss = 0.225322, iou_loss = 0.148842, total_loss = 0.374163 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767237, GIOU: 0.763195), Class: 0.999305, Obj: 0.675389, No Obj: 0.000096, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.066384, iou_loss = 0.046145, total_loss = 0.112529 \n", + " total_bbox = 1084971, rewritten_bbox = 2.668182 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811225, GIOU: 0.805107), Class: 0.999539, Obj: 0.704657, No Obj: 0.002864, .5R: 1.000000, .75R: 0.863636, count: 44, class_loss = 0.369568, iou_loss = 0.218468, total_loss = 0.588036 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756708, GIOU: 0.747280), Class: 0.999136, Obj: 0.409009, No Obj: 0.000100, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.205483, iou_loss = 0.071186, total_loss = 0.276669 \n", + " total_bbox = 1085025, rewritten_bbox = 2.668418 % \n", + "\n", + " 9777: 0.337849, 0.421498 avg loss, 0.000010 rate, 0.563570 seconds, 625728 images, 0.193568 hours left\n", + "Loaded: 1.668881 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791671, GIOU: 0.780710), Class: 0.998821, Obj: 0.674289, No Obj: 0.002268, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.448344, iou_loss = 0.289386, total_loss = 0.737730 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794265, GIOU: 0.788693), Class: 0.999834, Obj: 0.610400, No Obj: 0.000171, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.131976, iou_loss = 0.067871, total_loss = 0.199847 \n", + " total_bbox = 1085081, rewritten_bbox = 2.668464 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778355, GIOU: 0.771606), Class: 0.999473, Obj: 0.688023, No Obj: 0.002458, .5R: 1.000000, .75R: 0.659574, count: 47, class_loss = 0.474883, iou_loss = 0.258936, total_loss = 0.733819 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.810398, GIOU: 0.805573), Class: 0.999729, Obj: 0.711202, No Obj: 0.000292, .5R: 1.000000, .75R: 0.764706, count: 17, class_loss = 0.216816, iou_loss = 0.065860, total_loss = 0.282676 \n", + " total_bbox = 1085145, rewritten_bbox = 2.668491 % \n", + "\n", + " 9778: 0.488518, 0.428200 avg loss, 0.000010 rate, 0.684937 seconds, 625792 images, 0.193112 hours left\n", + "Loaded: 1.493488 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799936, GIOU: 0.794552), Class: 0.998867, Obj: 0.662559, No Obj: 0.002634, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.415977, iou_loss = 0.204090, total_loss = 0.620067 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713364, GIOU: 0.695938), Class: 0.995584, Obj: 0.680088, No Obj: 0.000094, .5R: 0.800000, .75R: 0.800000, count: 5, class_loss = 0.057320, iou_loss = 0.062890, total_loss = 0.120210 \n", + " total_bbox = 1085193, rewritten_bbox = 2.668373 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778188, GIOU: 0.770740), Class: 0.999431, Obj: 0.658430, No Obj: 0.002729, .5R: 1.000000, .75R: 0.529412, count: 51, class_loss = 0.485991, iou_loss = 0.289812, total_loss = 0.775803 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752269, GIOU: 0.745595), Class: 0.998409, Obj: 0.505402, No Obj: 0.000168, .5R: 1.000000, .75R: 0.583333, count: 12, class_loss = 0.203976, iou_loss = 0.094796, total_loss = 0.298772 \n", + " total_bbox = 1085256, rewritten_bbox = 2.668403 % \n", + "\n", + " 9779: 0.453713, 0.430752 avg loss, 0.000010 rate, 0.518444 seconds, 625856 images, 0.192632 hours left\n", + "Loaded: 1.682410 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788108, GIOU: 0.782420), Class: 0.998929, Obj: 0.767244, No Obj: 0.002660, .5R: 0.977273, .75R: 0.659091, count: 44, class_loss = 0.315855, iou_loss = 0.271781, total_loss = 0.587637 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783673, GIOU: 0.777532), Class: 0.999558, Obj: 0.675044, No Obj: 0.000191, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.108301, iou_loss = 0.106537, total_loss = 0.214838 \n", + " total_bbox = 1085314, rewritten_bbox = 2.668352 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778836, GIOU: 0.772630), Class: 0.999286, Obj: 0.612100, No Obj: 0.002371, .5R: 1.000000, .75R: 0.638298, count: 47, class_loss = 0.563636, iou_loss = 0.330882, total_loss = 0.894518 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761132, GIOU: 0.753235), Class: 0.995746, Obj: 0.626482, No Obj: 0.000128, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.080160, iou_loss = 0.055375, total_loss = 0.135535 \n", + " total_bbox = 1085369, rewritten_bbox = 2.668586 % \n", + "\n", + " 9780: 0.458132, 0.433490 avg loss, 0.000010 rate, 0.798674 seconds, 625920 images, 0.191941 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 320 x 320 \n", + " try to allocate additional workspace_size = 1221.07 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000037 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.733129, GIOU: 0.718867), Class: 0.999616, Obj: 0.634291, No Obj: 0.002319, .5R: 0.950000, .75R: 0.650000, count: 20, class_loss = 0.212991, iou_loss = 0.279150, total_loss = 0.492142 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.710161, GIOU: 0.693461), Class: 0.991392, Obj: 0.417031, No Obj: 0.000854, .5R: 0.906250, .75R: 0.406250, count: 32, class_loss = 0.615381, iou_loss = 0.261258, total_loss = 0.876640 \n", + " total_bbox = 1085421, rewritten_bbox = 2.668642 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781729, GIOU: 0.774406), Class: 0.999752, Obj: 0.517390, No Obj: 0.002988, .5R: 1.000000, .75R: 0.619048, count: 21, class_loss = 0.306969, iou_loss = 0.094934, total_loss = 0.401904 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716006, GIOU: 0.702175), Class: 0.994719, Obj: 0.523050, No Obj: 0.001129, .5R: 0.904762, .75R: 0.404762, count: 42, class_loss = 0.584239, iou_loss = 0.390130, total_loss = 0.974369 \n", + " total_bbox = 1085484, rewritten_bbox = 2.668579 % \n", + "\n", + " 9781: 0.686263, 0.458767 avg loss, 0.000010 rate, 0.239160 seconds, 625984 images, 0.191538 hours left\n", + "Loaded: 1.491481 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.748433, GIOU: 0.741990), Class: 0.999730, Obj: 0.551457, No Obj: 0.002343, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.245263, iou_loss = 0.137629, total_loss = 0.382892 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720185, GIOU: 0.702842), Class: 0.998892, Obj: 0.552530, No Obj: 0.000988, .5R: 0.916667, .75R: 0.527778, count: 36, class_loss = 0.411798, iou_loss = 0.349531, total_loss = 0.761329 \n", + " total_bbox = 1085539, rewritten_bbox = 2.668628 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796942, GIOU: 0.786152), Class: 0.999748, Obj: 0.735638, No Obj: 0.003681, .5R: 0.956522, .75R: 0.782609, count: 23, class_loss = 0.189434, iou_loss = 0.100590, total_loss = 0.290024 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755355, GIOU: 0.741267), Class: 0.998501, Obj: 0.651018, No Obj: 0.001028, .5R: 0.964286, .75R: 0.571429, count: 28, class_loss = 0.259976, iou_loss = 0.214316, total_loss = 0.474293 \n", + " total_bbox = 1085590, rewritten_bbox = 2.668595 % \n", + "\n", + " 9782: 0.477135, 0.460604 avg loss, 0.000010 rate, 0.204884 seconds, 626048 images, 0.189768 hours left\n", + "Loaded: 1.770899 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757331, GIOU: 0.747298), Class: 0.999503, Obj: 0.596922, No Obj: 0.002714, .5R: 0.956522, .75R: 0.608696, count: 23, class_loss = 0.304853, iou_loss = 0.128146, total_loss = 0.432999 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752600, GIOU: 0.741881), Class: 0.999119, Obj: 0.622984, No Obj: 0.001160, .5R: 1.000000, .75R: 0.513514, count: 37, class_loss = 0.386912, iou_loss = 0.290247, total_loss = 0.677160 \n", + " total_bbox = 1085650, rewritten_bbox = 2.668724 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760080, GIOU: 0.749211), Class: 0.999704, Obj: 0.643421, No Obj: 0.002763, .5R: 0.961538, .75R: 0.615385, count: 26, class_loss = 0.253638, iou_loss = 0.153501, total_loss = 0.407139 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751098, GIOU: 0.741797), Class: 0.999083, Obj: 0.590037, No Obj: 0.000990, .5R: 0.969697, .75R: 0.606061, count: 33, class_loss = 0.371236, iou_loss = 0.218648, total_loss = 0.589884 \n", + " total_bbox = 1085709, rewritten_bbox = 2.668671 % \n", + "\n", + " 9783: 0.526795, 0.467223 avg loss, 0.000010 rate, 0.212327 seconds, 626112 images, 0.188898 hours left\n", + "Loaded: 1.812993 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799589, GIOU: 0.793738), Class: 0.999823, Obj: 0.743593, No Obj: 0.003205, .5R: 1.000000, .75R: 0.714286, count: 21, class_loss = 0.198075, iou_loss = 0.116265, total_loss = 0.314340 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747247, GIOU: 0.736841), Class: 0.998543, Obj: 0.498969, No Obj: 0.000970, .5R: 1.000000, .75R: 0.514286, count: 35, class_loss = 0.473392, iou_loss = 0.223310, total_loss = 0.696701 \n", + " total_bbox = 1085765, rewritten_bbox = 2.668533 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761234, GIOU: 0.751233), Class: 0.999563, Obj: 0.624576, No Obj: 0.003869, .5R: 0.961538, .75R: 0.615385, count: 26, class_loss = 0.315642, iou_loss = 0.196549, total_loss = 0.512192 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.737241, GIOU: 0.721135), Class: 0.994650, Obj: 0.647231, No Obj: 0.001140, .5R: 0.976191, .75R: 0.595238, count: 42, class_loss = 0.483154, iou_loss = 0.546624, total_loss = 1.029777 \n", + " total_bbox = 1085833, rewritten_bbox = 2.668643 % \n", + "\n", + " 9784: 0.638252, 0.484326 avg loss, 0.000010 rate, 0.223168 seconds, 626176 images, 0.188204 hours left\n", + "Loaded: 1.990191 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770016, GIOU: 0.758173), Class: 0.999550, Obj: 0.542252, No Obj: 0.002072, .5R: 1.000000, .75R: 0.666667, count: 18, class_loss = 0.271171, iou_loss = 0.126219, total_loss = 0.397390 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765993, GIOU: 0.757041), Class: 0.997918, Obj: 0.555924, No Obj: 0.000947, .5R: 1.000000, .75R: 0.600000, count: 35, class_loss = 0.452235, iou_loss = 0.190936, total_loss = 0.643171 \n", + " total_bbox = 1085886, rewritten_bbox = 2.668696 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.751366, GIOU: 0.744050), Class: 0.998831, Obj: 0.622398, No Obj: 0.002207, .5R: 1.000000, .75R: 0.625000, count: 16, class_loss = 0.183557, iou_loss = 0.140785, total_loss = 0.324342 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741837, GIOU: 0.730241), Class: 0.998023, Obj: 0.447339, No Obj: 0.000917, .5R: 0.918919, .75R: 0.567568, count: 37, class_loss = 0.521616, iou_loss = 0.304497, total_loss = 0.826114 \n", + " total_bbox = 1085939, rewritten_bbox = 2.668934 % \n", + "\n", + " 9785: 0.547754, 0.490669 avg loss, 0.000010 rate, 0.227212 seconds, 626240 images, 0.187544 hours left\n", + "Loaded: 1.776979 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.726832, GIOU: 0.718604), Class: 0.999636, Obj: 0.622149, No Obj: 0.002388, .5R: 0.869565, .75R: 0.521739, count: 23, class_loss = 0.205249, iou_loss = 0.217142, total_loss = 0.422391 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739627, GIOU: 0.728895), Class: 0.997976, Obj: 0.545819, No Obj: 0.001010, .5R: 0.971429, .75R: 0.571429, count: 35, class_loss = 0.428708, iou_loss = 0.273066, total_loss = 0.701773 \n", + " total_bbox = 1085997, rewritten_bbox = 2.669068 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767176, GIOU: 0.755765), Class: 0.999752, Obj: 0.582695, No Obj: 0.002965, .5R: 1.000000, .75R: 0.708333, count: 24, class_loss = 0.229553, iou_loss = 0.128934, total_loss = 0.358487 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738448, GIOU: 0.724495), Class: 0.998309, Obj: 0.584473, No Obj: 0.000987, .5R: 1.000000, .75R: 0.500000, count: 36, class_loss = 0.376860, iou_loss = 0.268123, total_loss = 0.644984 \n", + " total_bbox = 1086057, rewritten_bbox = 2.669289 % \n", + "\n", + " 9786: 0.531909, 0.494793 avg loss, 0.000010 rate, 0.260206 seconds, 626304 images, 0.186994 hours left\n", + "Loaded: 2.090615 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806888, GIOU: 0.801331), Class: 0.999881, Obj: 0.724516, No Obj: 0.002554, .5R: 1.000000, .75R: 0.789474, count: 19, class_loss = 0.133023, iou_loss = 0.072158, total_loss = 0.205181 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.697724, GIOU: 0.683541), Class: 0.996818, Obj: 0.575747, No Obj: 0.000856, .5R: 0.896552, .75R: 0.482759, count: 29, class_loss = 0.439796, iou_loss = 0.268934, total_loss = 0.708729 \n", + " total_bbox = 1086105, rewritten_bbox = 2.669447 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.742689, GIOU: 0.735362), Class: 0.999761, Obj: 0.651581, No Obj: 0.002097, .5R: 1.000000, .75R: 0.533333, count: 15, class_loss = 0.167395, iou_loss = 0.105198, total_loss = 0.272593 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757586, GIOU: 0.747767), Class: 0.998153, Obj: 0.471679, No Obj: 0.000865, .5R: 1.000000, .75R: 0.548387, count: 31, class_loss = 0.483345, iou_loss = 0.159381, total_loss = 0.642726 \n", + " total_bbox = 1086151, rewritten_bbox = 2.669518 % \n", + "\n", + " 9787: 0.457307, 0.491044 avg loss, 0.000010 rate, 0.246936 seconds, 626368 images, 0.186337 hours left\n", + "Loaded: 2.010077 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768513, GIOU: 0.759739), Class: 0.999937, Obj: 0.584807, No Obj: 0.002256, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.208524, iou_loss = 0.097617, total_loss = 0.306141 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750786, GIOU: 0.739046), Class: 0.997685, Obj: 0.472204, No Obj: 0.001392, .5R: 0.960784, .75R: 0.588235, count: 51, class_loss = 0.675704, iou_loss = 0.359728, total_loss = 1.035432 \n", + " total_bbox = 1086217, rewritten_bbox = 2.669448 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.723038, GIOU: 0.714178), Class: 0.999694, Obj: 0.681732, No Obj: 0.003702, .5R: 0.964286, .75R: 0.500000, count: 28, class_loss = 0.251957, iou_loss = 0.244131, total_loss = 0.496088 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711700, GIOU: 0.694950), Class: 0.996356, Obj: 0.402277, No Obj: 0.000800, .5R: 0.966667, .75R: 0.400000, count: 30, class_loss = 0.569146, iou_loss = 0.226448, total_loss = 0.795594 \n", + " total_bbox = 1086275, rewritten_bbox = 2.669398 % \n", + "\n", + " 9788: 0.658314, 0.507771 avg loss, 0.000010 rate, 0.245745 seconds, 626432 images, 0.185857 hours left\n", + "Loaded: 1.806196 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789383, GIOU: 0.783946), Class: 0.999670, Obj: 0.612324, No Obj: 0.003526, .5R: 1.000000, .75R: 0.733333, count: 30, class_loss = 0.358869, iou_loss = 0.110397, total_loss = 0.469267 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749308, GIOU: 0.740358), Class: 0.998237, Obj: 0.534522, No Obj: 0.000795, .5R: 1.000000, .75R: 0.480000, count: 25, class_loss = 0.333930, iou_loss = 0.162003, total_loss = 0.495933 \n", + " total_bbox = 1086330, rewritten_bbox = 2.669447 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.733048, GIOU: 0.724188), Class: 0.999743, Obj: 0.710557, No Obj: 0.003243, .5R: 0.962963, .75R: 0.407407, count: 27, class_loss = 0.287832, iou_loss = 0.237284, total_loss = 0.525116 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720131, GIOU: 0.705013), Class: 0.996636, Obj: 0.520822, No Obj: 0.000895, .5R: 0.970588, .75R: 0.470588, count: 34, class_loss = 0.478414, iou_loss = 0.284024, total_loss = 0.762438 \n", + " total_bbox = 1086391, rewritten_bbox = 2.669481 % \n", + "\n", + " 9789: 0.563188, 0.513313 avg loss, 0.000010 rate, 0.257473 seconds, 626496 images, 0.185327 hours left\n", + "Loaded: 1.378789 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779145, GIOU: 0.769135), Class: 0.999434, Obj: 0.740339, No Obj: 0.003339, .5R: 1.000000, .75R: 0.761905, count: 21, class_loss = 0.157796, iou_loss = 0.083357, total_loss = 0.241154 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730542, GIOU: 0.717467), Class: 0.998681, Obj: 0.510816, No Obj: 0.001043, .5R: 0.970588, .75R: 0.529412, count: 34, class_loss = 0.444550, iou_loss = 0.252827, total_loss = 0.697377 \n", + " total_bbox = 1086446, rewritten_bbox = 2.669346 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766683, GIOU: 0.757012), Class: 0.999861, Obj: 0.709705, No Obj: 0.002023, .5R: 0.923077, .75R: 0.692308, count: 13, class_loss = 0.127428, iou_loss = 0.068342, total_loss = 0.195770 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728192, GIOU: 0.715792), Class: 0.997521, Obj: 0.518806, No Obj: 0.001113, .5R: 0.951219, .75R: 0.560976, count: 41, class_loss = 0.563546, iou_loss = 0.332975, total_loss = 0.896522 \n", + " total_bbox = 1086500, rewritten_bbox = 2.669305 % \n", + "\n", + " 9790: 0.507705, 0.512752 avg loss, 0.000010 rate, 0.262589 seconds, 626560 images, 0.184683 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000042 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772523, GIOU: 0.763369), Class: 0.999210, Obj: 0.650797, No Obj: 0.003308, .5R: 1.000000, .75R: 0.655172, count: 29, class_loss = 0.305291, iou_loss = 0.160922, total_loss = 0.466213 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742590, GIOU: 0.732635), Class: 0.996740, Obj: 0.579728, No Obj: 0.000979, .5R: 0.973684, .75R: 0.605263, count: 38, class_loss = 0.483352, iou_loss = 0.256292, total_loss = 0.739644 \n", + " total_bbox = 1086567, rewritten_bbox = 2.669325 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792854, GIOU: 0.787387), Class: 0.999704, Obj: 0.792705, No Obj: 0.003741, .5R: 0.972222, .75R: 0.611111, count: 36, class_loss = 0.149495, iou_loss = 0.147072, total_loss = 0.296567 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782904, GIOU: 0.775226), Class: 0.998926, Obj: 0.563680, No Obj: 0.000780, .5R: 1.000000, .75R: 0.642857, count: 28, class_loss = 0.301401, iou_loss = 0.131747, total_loss = 0.433148 \n", + " total_bbox = 1086631, rewritten_bbox = 2.669351 % \n", + "\n", + " 9791: 0.483893, 0.509866 avg loss, 0.000010 rate, 0.265584 seconds, 626624 images, 0.183796 hours left\n", + "Loaded: 2.058251 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781203, GIOU: 0.774478), Class: 0.999728, Obj: 0.803907, No Obj: 0.003963, .5R: 1.000000, .75R: 0.648649, count: 37, class_loss = 0.181288, iou_loss = 0.238314, total_loss = 0.419602 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762336, GIOU: 0.755044), Class: 0.999403, Obj: 0.585959, No Obj: 0.000567, .5R: 1.000000, .75R: 0.619048, count: 21, class_loss = 0.215084, iou_loss = 0.156750, total_loss = 0.371834 \n", + " total_bbox = 1086689, rewritten_bbox = 2.669577 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771775, GIOU: 0.759528), Class: 0.999811, Obj: 0.767587, No Obj: 0.003147, .5R: 0.962963, .75R: 0.555556, count: 27, class_loss = 0.160083, iou_loss = 0.147010, total_loss = 0.307093 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772891, GIOU: 0.763205), Class: 0.998104, Obj: 0.587662, No Obj: 0.000924, .5R: 0.972222, .75R: 0.694444, count: 36, class_loss = 0.390100, iou_loss = 0.181174, total_loss = 0.571274 \n", + " total_bbox = 1086752, rewritten_bbox = 2.669514 % \n", + "\n", + " 9792: 0.417451, 0.500625 avg loss, 0.000010 rate, 0.265221 seconds, 626688 images, 0.182112 hours left\n", + "Loaded: 1.752113 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768787, GIOU: 0.760525), Class: 0.999626, Obj: 0.711567, No Obj: 0.003586, .5R: 1.000000, .75R: 0.655172, count: 29, class_loss = 0.276515, iou_loss = 0.188316, total_loss = 0.464831 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731615, GIOU: 0.719164), Class: 0.996668, Obj: 0.519440, No Obj: 0.000759, .5R: 0.903226, .75R: 0.516129, count: 31, class_loss = 0.480606, iou_loss = 0.326664, total_loss = 0.807270 \n", + " total_bbox = 1086812, rewritten_bbox = 2.669367 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769110, GIOU: 0.761255), Class: 0.999789, Obj: 0.672734, No Obj: 0.003371, .5R: 0.967742, .75R: 0.709677, count: 31, class_loss = 0.271518, iou_loss = 0.168185, total_loss = 0.439704 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803753, GIOU: 0.798635), Class: 0.999243, Obj: 0.616105, No Obj: 0.000620, .5R: 1.000000, .75R: 0.894737, count: 19, class_loss = 0.151876, iou_loss = 0.060780, total_loss = 0.212656 \n", + " total_bbox = 1086862, rewritten_bbox = 2.669428 % \n", + "\n", + " 9793: 0.481115, 0.498674 avg loss, 0.000010 rate, 0.283042 seconds, 626752 images, 0.181634 hours left\n", + "Loaded: 1.621604 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.823056, GIOU: 0.817932), Class: 0.999345, Obj: 0.710683, No Obj: 0.003613, .5R: 1.000000, .75R: 0.862069, count: 29, class_loss = 0.269653, iou_loss = 0.092108, total_loss = 0.361761 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773744, GIOU: 0.764405), Class: 0.996662, Obj: 0.606469, No Obj: 0.000781, .5R: 0.965517, .75R: 0.689655, count: 29, class_loss = 0.316005, iou_loss = 0.161290, total_loss = 0.477296 \n", + " total_bbox = 1086920, rewritten_bbox = 2.669470 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791198, GIOU: 0.786628), Class: 0.999710, Obj: 0.701593, No Obj: 0.002413, .5R: 1.000000, .75R: 0.736842, count: 19, class_loss = 0.231091, iou_loss = 0.088775, total_loss = 0.319866 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728048, GIOU: 0.710266), Class: 0.994946, Obj: 0.559489, No Obj: 0.000837, .5R: 0.914286, .75R: 0.542857, count: 35, class_loss = 0.459926, iou_loss = 0.389023, total_loss = 0.848949 \n", + " total_bbox = 1086974, rewritten_bbox = 2.669429 % \n", + "\n", + " 9794: 0.501968, 0.499003 avg loss, 0.000010 rate, 0.266108 seconds, 626816 images, 0.180987 hours left\n", + "Loaded: 1.495926 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781044, GIOU: 0.774480), Class: 0.999121, Obj: 0.646192, No Obj: 0.002961, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.297925, iou_loss = 0.222270, total_loss = 0.520195 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780104, GIOU: 0.768889), Class: 0.999543, Obj: 0.663073, No Obj: 0.000926, .5R: 1.000000, .75R: 0.677419, count: 31, class_loss = 0.387442, iou_loss = 0.162212, total_loss = 0.549653 \n", + " total_bbox = 1087037, rewritten_bbox = 2.669734 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800826, GIOU: 0.794398), Class: 0.999837, Obj: 0.665074, No Obj: 0.002897, .5R: 1.000000, .75R: 0.814815, count: 27, class_loss = 0.258091, iou_loss = 0.108327, total_loss = 0.366418 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769828, GIOU: 0.757745), Class: 0.999340, Obj: 0.633071, No Obj: 0.000375, .5R: 1.000000, .75R: 0.583333, count: 12, class_loss = 0.122205, iou_loss = 0.068748, total_loss = 0.190953 \n", + " total_bbox = 1087076, rewritten_bbox = 2.669730 % \n", + "\n", + " 9795: 0.406805, 0.489783 avg loss, 0.000010 rate, 0.255195 seconds, 626880 images, 0.180258 hours left\n", + "Loaded: 1.480432 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792557, GIOU: 0.785550), Class: 0.999768, Obj: 0.702839, No Obj: 0.003997, .5R: 1.000000, .75R: 0.735294, count: 34, class_loss = 0.271442, iou_loss = 0.131601, total_loss = 0.403043 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747711, GIOU: 0.738655), Class: 0.999110, Obj: 0.514123, No Obj: 0.000527, .5R: 1.000000, .75R: 0.458333, count: 24, class_loss = 0.354107, iou_loss = 0.192846, total_loss = 0.546953 \n", + " total_bbox = 1087134, rewritten_bbox = 2.669864 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801032, GIOU: 0.794430), Class: 0.999736, Obj: 0.756554, No Obj: 0.003105, .5R: 1.000000, .75R: 0.769231, count: 26, class_loss = 0.215595, iou_loss = 0.095242, total_loss = 0.310838 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774229, GIOU: 0.766147), Class: 0.999328, Obj: 0.607959, No Obj: 0.000649, .5R: 1.000000, .75R: 0.666667, count: 27, class_loss = 0.334046, iou_loss = 0.127559, total_loss = 0.461605 \n", + " total_bbox = 1087187, rewritten_bbox = 2.669826 % \n", + "\n", + " 9796: 0.430610, 0.483866 avg loss, 0.000010 rate, 0.259489 seconds, 626944 images, 0.179453 hours left\n", + "Loaded: 1.823192 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771398, GIOU: 0.763394), Class: 0.999736, Obj: 0.704022, No Obj: 0.003391, .5R: 0.970588, .75R: 0.617647, count: 34, class_loss = 0.254384, iou_loss = 0.177137, total_loss = 0.431522 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784092, GIOU: 0.775804), Class: 0.999115, Obj: 0.645448, No Obj: 0.000854, .5R: 0.961538, .75R: 0.730769, count: 26, class_loss = 0.229247, iou_loss = 0.164794, total_loss = 0.394041 \n", + " total_bbox = 1087247, rewritten_bbox = 2.669678 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.753261, GIOU: 0.742972), Class: 0.999734, Obj: 0.665254, No Obj: 0.002931, .5R: 0.956522, .75R: 0.565217, count: 23, class_loss = 0.283948, iou_loss = 0.183034, total_loss = 0.466982 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781897, GIOU: 0.772243), Class: 0.998495, Obj: 0.523140, No Obj: 0.000767, .5R: 0.968750, .75R: 0.687500, count: 32, class_loss = 0.449760, iou_loss = 0.171177, total_loss = 0.620937 \n", + " total_bbox = 1087302, rewritten_bbox = 2.669544 % \n", + "\n", + " 9797: 0.478370, 0.483316 avg loss, 0.000010 rate, 0.292818 seconds, 627008 images, 0.178645 hours left\n", + "Loaded: 1.713237 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790849, GIOU: 0.784581), Class: 0.999714, Obj: 0.667832, No Obj: 0.002813, .5R: 1.000000, .75R: 0.800000, count: 30, class_loss = 0.283709, iou_loss = 0.149683, total_loss = 0.433392 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734223, GIOU: 0.723880), Class: 0.998625, Obj: 0.512017, No Obj: 0.000770, .5R: 0.962963, .75R: 0.555556, count: 27, class_loss = 0.384852, iou_loss = 0.174226, total_loss = 0.559078 \n", + " total_bbox = 1087359, rewritten_bbox = 2.669588 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786961, GIOU: 0.780080), Class: 0.999694, Obj: 0.673997, No Obj: 0.002654, .5R: 1.000000, .75R: 0.650000, count: 20, class_loss = 0.294316, iou_loss = 0.093733, total_loss = 0.388049 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714744, GIOU: 0.699801), Class: 0.998525, Obj: 0.563164, No Obj: 0.000986, .5R: 0.902439, .75R: 0.560976, count: 41, class_loss = 0.580204, iou_loss = 0.478439, total_loss = 1.058643 \n", + " total_bbox = 1087420, rewritten_bbox = 2.669622 % \n", + "\n", + " 9798: 0.609790, 0.495964 avg loss, 0.000010 rate, 0.287981 seconds, 627072 images, 0.178051 hours left\n", + "Loaded: 1.869050 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765589, GIOU: 0.757594), Class: 0.999657, Obj: 0.679044, No Obj: 0.003622, .5R: 1.000000, .75R: 0.657143, count: 35, class_loss = 0.297653, iou_loss = 0.204602, total_loss = 0.502255 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714827, GIOU: 0.700400), Class: 0.997957, Obj: 0.484475, No Obj: 0.000551, .5R: 0.884615, .75R: 0.538462, count: 26, class_loss = 0.400872, iou_loss = 0.233388, total_loss = 0.634260 \n", + " total_bbox = 1087481, rewritten_bbox = 2.669564 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798439, GIOU: 0.791153), Class: 0.999534, Obj: 0.734012, No Obj: 0.003041, .5R: 1.000000, .75R: 0.730769, count: 26, class_loss = 0.167976, iou_loss = 0.109885, total_loss = 0.277861 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770227, GIOU: 0.760031), Class: 0.999168, Obj: 0.638054, No Obj: 0.001089, .5R: 1.000000, .75R: 0.694444, count: 36, class_loss = 0.393709, iou_loss = 0.201920, total_loss = 0.595629 \n", + " total_bbox = 1087543, rewritten_bbox = 2.669595 % \n", + "\n", + " 9799: 0.502501, 0.496618 avg loss, 0.000010 rate, 0.257785 seconds, 627136 images, 0.177394 hours left\n", + "Loaded: 1.769393 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811198, GIOU: 0.804294), Class: 0.999790, Obj: 0.754771, No Obj: 0.003190, .5R: 1.000000, .75R: 0.720000, count: 25, class_loss = 0.180859, iou_loss = 0.112395, total_loss = 0.293254 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.698290, GIOU: 0.678866), Class: 0.998187, Obj: 0.568963, No Obj: 0.000789, .5R: 0.944444, .75R: 0.361111, count: 36, class_loss = 0.458301, iou_loss = 0.398878, total_loss = 0.857179 \n", + " total_bbox = 1087604, rewritten_bbox = 2.669906 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789320, GIOU: 0.783097), Class: 0.999545, Obj: 0.792426, No Obj: 0.003919, .5R: 1.000000, .75R: 0.736842, count: 38, class_loss = 0.179067, iou_loss = 0.185344, total_loss = 0.364411 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720742, GIOU: 0.700551), Class: 0.997311, Obj: 0.568345, No Obj: 0.000511, .5R: 0.947368, .75R: 0.473684, count: 19, class_loss = 0.207309, iou_loss = 0.217217, total_loss = 0.424526 \n", + " total_bbox = 1087661, rewritten_bbox = 2.669766 % \n", + "\n", + " 9800: 0.484843, 0.495440 avg loss, 0.000010 rate, 0.294016 seconds, 627200 images, 0.176807 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 544 x 544 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000043 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782264, GIOU: 0.775971), Class: 0.999487, Obj: 0.645789, No Obj: 0.002298, .5R: 0.980000, .75R: 0.620000, count: 50, class_loss = 0.470171, iou_loss = 0.273278, total_loss = 0.743449 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739633, GIOU: 0.719020), Class: 0.985040, Obj: 0.559215, No Obj: 0.000099, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.073508, iou_loss = 0.051280, total_loss = 0.124788 \n", + " total_bbox = 1087717, rewritten_bbox = 2.669720 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775174, GIOU: 0.768995), Class: 0.999414, Obj: 0.678954, No Obj: 0.002621, .5R: 0.978261, .75R: 0.673913, count: 46, class_loss = 0.440343, iou_loss = 0.286244, total_loss = 0.726587 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770826, GIOU: 0.761454), Class: 0.999589, Obj: 0.624961, No Obj: 0.000168, .5R: 1.000000, .75R: 0.750000, count: 16, class_loss = 0.193010, iou_loss = 0.098306, total_loss = 0.291316 \n", + " total_bbox = 1087779, rewritten_bbox = 2.669936 % \n", + "\n", + " 9801: 0.471535, 0.493050 avg loss, 0.000010 rate, 0.832279 seconds, 627264 images, 0.176189 hours left\n", + "Loaded: 1.546320 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792579, GIOU: 0.785927), Class: 0.999597, Obj: 0.721214, No Obj: 0.002328, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.344481, iou_loss = 0.219117, total_loss = 0.563599 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.780221, GIOU: 0.777475), Class: 0.998689, Obj: 0.474257, No Obj: 0.000072, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.096505, iou_loss = 0.047214, total_loss = 0.143719 \n", + " total_bbox = 1087827, rewritten_bbox = 2.670002 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770415, GIOU: 0.762534), Class: 0.999327, Obj: 0.618287, No Obj: 0.001980, .5R: 1.000000, .75R: 0.609756, count: 41, class_loss = 0.527643, iou_loss = 0.279792, total_loss = 0.807435 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.723325, GIOU: 0.708526), Class: 0.999220, Obj: 0.612347, No Obj: 0.000124, .5R: 1.000000, .75R: 0.466667, count: 15, class_loss = 0.185086, iou_loss = 0.142723, total_loss = 0.327809 \n", + " total_bbox = 1087883, rewritten_bbox = 2.670324 % \n", + "\n", + " 9802: 0.460641, 0.489809 avg loss, 0.000010 rate, 0.862056 seconds, 627328 images, 0.174887 hours left\n", + "Loaded: 1.630840 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768047, GIOU: 0.759144), Class: 0.999680, Obj: 0.685474, No Obj: 0.001910, .5R: 0.974359, .75R: 0.615385, count: 39, class_loss = 0.478427, iou_loss = 0.271197, total_loss = 0.749624 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757096, GIOU: 0.747932), Class: 0.997637, Obj: 0.562224, No Obj: 0.000119, .5R: 0.888889, .75R: 0.777778, count: 9, class_loss = 0.106944, iou_loss = 0.069927, total_loss = 0.176871 \n", + " total_bbox = 1087931, rewritten_bbox = 2.670298 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807039, GIOU: 0.801239), Class: 0.999734, Obj: 0.787731, No Obj: 0.002311, .5R: 1.000000, .75R: 0.680851, count: 47, class_loss = 0.262341, iou_loss = 0.189380, total_loss = 0.451721 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767710, GIOU: 0.753330), Class: 0.999733, Obj: 0.574267, No Obj: 0.000196, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.160399, iou_loss = 0.105853, total_loss = 0.266252 \n", + " total_bbox = 1087989, rewritten_bbox = 2.670248 % \n", + "\n", + " 9803: 0.411117, 0.481940 avg loss, 0.000010 rate, 0.718287 seconds, 627392 images, 0.174463 hours left\n", + "Loaded: 1.743462 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811634, GIOU: 0.805593), Class: 0.999421, Obj: 0.700445, No Obj: 0.002779, .5R: 1.000000, .75R: 0.792453, count: 53, class_loss = 0.461088, iou_loss = 0.261279, total_loss = 0.722367 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747723, GIOU: 0.737200), Class: 0.996147, Obj: 0.394418, No Obj: 0.000158, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.221524, iou_loss = 0.105532, total_loss = 0.327056 \n", + " total_bbox = 1088054, rewritten_bbox = 2.670272 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809988, GIOU: 0.804111), Class: 0.999212, Obj: 0.675840, No Obj: 0.002114, .5R: 1.000000, .75R: 0.825000, count: 40, class_loss = 0.455547, iou_loss = 0.169496, total_loss = 0.625043 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.708998, GIOU: 0.685664), Class: 0.999999, Obj: 0.928558, No Obj: 0.000057, .5R: 1.000000, .75R: 0.000000, count: 1, class_loss = 0.041591, iou_loss = 0.010842, total_loss = 0.052433 \n", + " total_bbox = 1088095, rewritten_bbox = 2.670263 % \n", + "\n", + " 9804: 0.431725, 0.476918 avg loss, 0.000010 rate, 0.768825 seconds, 627456 images, 0.174004 hours left\n", + "Loaded: 1.901738 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811147, GIOU: 0.806221), Class: 0.999593, Obj: 0.757526, No Obj: 0.002590, .5R: 1.000000, .75R: 0.764706, count: 51, class_loss = 0.306352, iou_loss = 0.172497, total_loss = 0.478848 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736600, GIOU: 0.733696), Class: 0.993946, Obj: 0.620900, No Obj: 0.000098, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.089326, iou_loss = 0.044147, total_loss = 0.133473 \n", + " total_bbox = 1088151, rewritten_bbox = 2.670126 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787244, GIOU: 0.779862), Class: 0.999570, Obj: 0.710431, No Obj: 0.002271, .5R: 0.956522, .75R: 0.717391, count: 46, class_loss = 0.434058, iou_loss = 0.312064, total_loss = 0.746122 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729558, GIOU: 0.718540), Class: 0.999684, Obj: 0.678090, No Obj: 0.000139, .5R: 1.000000, .75R: 0.333333, count: 9, class_loss = 0.081476, iou_loss = 0.061909, total_loss = 0.143385 \n", + " total_bbox = 1088206, rewritten_bbox = 2.670266 % \n", + "\n", + " 9805: 0.375457, 0.466772 avg loss, 0.000010 rate, 0.962900 seconds, 627520 images, 0.173631 hours left\n", + "Loaded: 1.398389 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779902, GIOU: 0.773693), Class: 0.999831, Obj: 0.741355, No Obj: 0.002236, .5R: 1.000000, .75R: 0.581395, count: 43, class_loss = 0.318031, iou_loss = 0.203791, total_loss = 0.521823 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.732501, GIOU: 0.722870), Class: 0.997645, Obj: 0.446259, No Obj: 0.000091, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.118451, iou_loss = 0.087682, total_loss = 0.206133 \n", + " total_bbox = 1088257, rewritten_bbox = 2.670141 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807014, GIOU: 0.801884), Class: 0.999237, Obj: 0.706082, No Obj: 0.002323, .5R: 1.000000, .75R: 0.800000, count: 45, class_loss = 0.435394, iou_loss = 0.273109, total_loss = 0.708504 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769057, GIOU: 0.764632), Class: 0.999533, Obj: 0.550726, No Obj: 0.000141, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.123591, iou_loss = 0.054520, total_loss = 0.178111 \n", + " total_bbox = 1088309, rewritten_bbox = 2.670381 % \n", + "\n", + " 9806: 0.403643, 0.460459 avg loss, 0.000010 rate, 0.625313 seconds, 627584 images, 0.173447 hours left\n", + "Loaded: 1.656145 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806726, GIOU: 0.801668), Class: 0.999420, Obj: 0.619450, No Obj: 0.002553, .5R: 1.000000, .75R: 0.764706, count: 51, class_loss = 0.528275, iou_loss = 0.247916, total_loss = 0.776190 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779420, GIOU: 0.772978), Class: 0.998870, Obj: 0.678982, No Obj: 0.000198, .5R: 1.000000, .75R: 0.733333, count: 15, class_loss = 0.146640, iou_loss = 0.095301, total_loss = 0.241941 \n", + " total_bbox = 1088375, rewritten_bbox = 2.670495 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805187, GIOU: 0.798863), Class: 0.999500, Obj: 0.722508, No Obj: 0.002492, .5R: 0.980000, .75R: 0.740000, count: 50, class_loss = 0.418216, iou_loss = 0.235824, total_loss = 0.654039 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806261, GIOU: 0.792621), Class: 0.999355, Obj: 0.699151, No Obj: 0.000166, .5R: 1.000000, .75R: 0.888889, count: 9, class_loss = 0.122804, iou_loss = 0.062163, total_loss = 0.184967 \n", + " total_bbox = 1088434, rewritten_bbox = 2.670718 % \n", + "\n", + " 9807: 0.464284, 0.460842 avg loss, 0.000010 rate, 0.972130 seconds, 627648 images, 0.172803 hours left\n", + "Loaded: 1.590431 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809911, GIOU: 0.805041), Class: 0.999409, Obj: 0.687936, No Obj: 0.002100, .5R: 1.000000, .75R: 0.850000, count: 40, class_loss = 0.366960, iou_loss = 0.168280, total_loss = 0.535240 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773569, GIOU: 0.763421), Class: 0.999753, Obj: 0.617701, No Obj: 0.000160, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.163968, iou_loss = 0.079367, total_loss = 0.243335 \n", + " total_bbox = 1088485, rewritten_bbox = 2.670685 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781626, GIOU: 0.774048), Class: 0.999400, Obj: 0.726665, No Obj: 0.002381, .5R: 1.000000, .75R: 0.634615, count: 52, class_loss = 0.371615, iou_loss = 0.273154, total_loss = 0.644768 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.652728, GIOU: 0.593739), Class: 0.995376, Obj: 0.447396, No Obj: 0.000114, .5R: 0.750000, .75R: 0.500000, count: 8, class_loss = 0.154456, iou_loss = 0.232606, total_loss = 0.387062 \n", + " total_bbox = 1088545, rewritten_bbox = 2.670813 % \n", + "\n", + " 9808: 0.452601, 0.460018 avg loss, 0.000010 rate, 0.679491 seconds, 627712 images, 0.172484 hours left\n", + "Loaded: 1.561543 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790950, GIOU: 0.779423), Class: 0.998542, Obj: 0.717545, No Obj: 0.002627, .5R: 0.952381, .75R: 0.785714, count: 42, class_loss = 0.409799, iou_loss = 0.266767, total_loss = 0.676567 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730019, GIOU: 0.724260), Class: 0.997349, Obj: 0.295713, No Obj: 0.000079, .5R: 0.888889, .75R: 0.666667, count: 9, class_loss = 0.191369, iou_loss = 0.112826, total_loss = 0.304194 \n", + " total_bbox = 1088596, rewritten_bbox = 2.670780 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787502, GIOU: 0.779706), Class: 0.998873, Obj: 0.613297, No Obj: 0.001966, .5R: 1.000000, .75R: 0.631579, count: 38, class_loss = 0.446730, iou_loss = 0.249949, total_loss = 0.696680 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753833, GIOU: 0.740175), Class: 0.998672, Obj: 0.625798, No Obj: 0.000085, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.093032, iou_loss = 0.042674, total_loss = 0.135706 \n", + " total_bbox = 1088640, rewritten_bbox = 2.670672 % \n", + "\n", + " 9809: 0.453287, 0.459344 avg loss, 0.000010 rate, 0.734790 seconds, 627776 images, 0.171970 hours left\n", + "Loaded: 1.870449 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785383, GIOU: 0.778487), Class: 0.999381, Obj: 0.724263, No Obj: 0.002876, .5R: 0.982143, .75R: 0.732143, count: 56, class_loss = 0.514475, iou_loss = 0.368426, total_loss = 0.882901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795666, GIOU: 0.789889), Class: 0.998997, Obj: 0.432347, No Obj: 0.000158, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.238581, iou_loss = 0.065490, total_loss = 0.304071 \n", + " total_bbox = 1088710, rewritten_bbox = 2.670592 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812555, GIOU: 0.806830), Class: 0.999258, Obj: 0.780982, No Obj: 0.002822, .5R: 1.000000, .75R: 0.807692, count: 52, class_loss = 0.271669, iou_loss = 0.221033, total_loss = 0.492702 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.678059, GIOU: 0.603240), Class: 0.991731, Obj: 0.363998, No Obj: 0.000068, .5R: 0.666667, .75R: 0.666667, count: 6, class_loss = 0.103168, iou_loss = 0.175736, total_loss = 0.278904 \n", + " total_bbox = 1088768, rewritten_bbox = 2.670449 % \n", + "\n", + " 9810: 0.489645, 0.462374 avg loss, 0.000010 rate, 0.715766 seconds, 627840 images, 0.171468 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 2.015197 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792993, GIOU: 0.786127), Class: 0.999438, Obj: 0.674549, No Obj: 0.002829, .5R: 1.000000, .75R: 0.725490, count: 51, class_loss = 0.515392, iou_loss = 0.238964, total_loss = 0.754356 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754333, GIOU: 0.746572), Class: 0.999673, Obj: 0.553793, No Obj: 0.000151, .5R: 1.000000, .75R: 0.384615, count: 13, class_loss = 0.177284, iou_loss = 0.083015, total_loss = 0.260299 \n", + " total_bbox = 1088832, rewritten_bbox = 2.670568 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784512, GIOU: 0.777048), Class: 0.999636, Obj: 0.787872, No Obj: 0.002715, .5R: 0.978723, .75R: 0.659574, count: 47, class_loss = 0.249412, iou_loss = 0.300845, total_loss = 0.550258 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771365, GIOU: 0.762064), Class: 0.999249, Obj: 0.712625, No Obj: 0.000333, .5R: 1.000000, .75R: 0.526316, count: 19, class_loss = 0.172095, iou_loss = 0.102419, total_loss = 0.274514 \n", + " total_bbox = 1088898, rewritten_bbox = 2.670774 % \n", + "\n", + " 9811: 0.459857, 0.462123 avg loss, 0.000010 rate, 0.578463 seconds, 627904 images, 0.171119 hours left\n", + "Loaded: 1.754552 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817625, GIOU: 0.812765), Class: 0.999655, Obj: 0.735084, No Obj: 0.003202, .5R: 1.000000, .75R: 0.777778, count: 54, class_loss = 0.363962, iou_loss = 0.209037, total_loss = 0.572999 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802341, GIOU: 0.798765), Class: 0.999528, Obj: 0.683826, No Obj: 0.000092, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.070675, iou_loss = 0.069073, total_loss = 0.139748 \n", + " total_bbox = 1088960, rewritten_bbox = 2.670897 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777587, GIOU: 0.768869), Class: 0.997908, Obj: 0.561997, No Obj: 0.001963, .5R: 1.000000, .75R: 0.700000, count: 40, class_loss = 0.511310, iou_loss = 0.267706, total_loss = 0.779015 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.808812, GIOU: 0.806844), Class: 0.994974, Obj: 0.552010, No Obj: 0.000129, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.098587, iou_loss = 0.030647, total_loss = 0.129234 \n", + " total_bbox = 1089008, rewritten_bbox = 2.670871 % \n", + "\n", + " 9812: 0.405249, 0.456435 avg loss, 0.000010 rate, 0.706026 seconds, 627968 images, 0.170769 hours left\n", + "Loaded: 1.819759 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794300, GIOU: 0.788567), Class: 0.999529, Obj: 0.718744, No Obj: 0.002021, .5R: 1.000000, .75R: 0.692308, count: 39, class_loss = 0.231482, iou_loss = 0.182174, total_loss = 0.413656 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806686, GIOU: 0.801240), Class: 0.999429, Obj: 0.665214, No Obj: 0.000211, .5R: 1.000000, .75R: 0.733333, count: 15, class_loss = 0.136941, iou_loss = 0.053865, total_loss = 0.190805 \n", + " total_bbox = 1089062, rewritten_bbox = 2.670830 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774020, GIOU: 0.767439), Class: 0.999544, Obj: 0.708566, No Obj: 0.002366, .5R: 1.000000, .75R: 0.594595, count: 37, class_loss = 0.304840, iou_loss = 0.176671, total_loss = 0.481511 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765420, GIOU: 0.753255), Class: 0.996519, Obj: 0.565884, No Obj: 0.000117, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.110329, iou_loss = 0.074995, total_loss = 0.185324 \n", + " total_bbox = 1089110, rewritten_bbox = 2.670713 % \n", + "\n", + " 9813: 0.317824, 0.442574 avg loss, 0.000010 rate, 0.549446 seconds, 628032 images, 0.170347 hours left\n", + "Loaded: 1.832602 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768249, GIOU: 0.763174), Class: 0.999670, Obj: 0.551919, No Obj: 0.002083, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.642965, iou_loss = 0.238380, total_loss = 0.881345 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.724989, GIOU: 0.708946), Class: 0.992670, Obj: 0.437068, No Obj: 0.000245, .5R: 0.950000, .75R: 0.600000, count: 20, class_loss = 0.350706, iou_loss = 0.212420, total_loss = 0.563126 \n", + " total_bbox = 1089168, rewritten_bbox = 2.670846 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793977, GIOU: 0.785687), Class: 0.999480, Obj: 0.701254, No Obj: 0.002616, .5R: 0.976744, .75R: 0.767442, count: 43, class_loss = 0.399199, iou_loss = 0.213627, total_loss = 0.612826 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.832567, GIOU: 0.828572), Class: 0.999703, Obj: 0.633050, No Obj: 0.000242, .5R: 1.000000, .75R: 0.777778, count: 18, class_loss = 0.155834, iou_loss = 0.057555, total_loss = 0.213389 \n", + " total_bbox = 1089229, rewritten_bbox = 2.670788 % \n", + "\n", + " 9814: 0.567671, 0.455084 avg loss, 0.000010 rate, 0.533597 seconds, 628096 images, 0.169874 hours left\n", + "Loaded: 1.663575 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805523, GIOU: 0.800140), Class: 0.999539, Obj: 0.762662, No Obj: 0.002383, .5R: 0.976191, .75R: 0.785714, count: 42, class_loss = 0.284494, iou_loss = 0.194730, total_loss = 0.479224 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802339, GIOU: 0.796033), Class: 0.999094, Obj: 0.752045, No Obj: 0.000220, .5R: 1.000000, .75R: 0.733333, count: 15, class_loss = 0.098089, iou_loss = 0.057446, total_loss = 0.155535 \n", + " total_bbox = 1089286, rewritten_bbox = 2.671016 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803194, GIOU: 0.794008), Class: 0.999784, Obj: 0.693140, No Obj: 0.001693, .5R: 1.000000, .75R: 0.814815, count: 27, class_loss = 0.273368, iou_loss = 0.126064, total_loss = 0.399432 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.719657, GIOU: 0.703269), Class: 0.994948, Obj: 0.548125, No Obj: 0.000152, .5R: 0.923077, .75R: 0.384615, count: 13, class_loss = 0.164192, iou_loss = 0.132626, total_loss = 0.296818 \n", + " total_bbox = 1089326, rewritten_bbox = 2.671193 % \n", + "\n", + " 9815: 0.332752, 0.442851 avg loss, 0.000010 rate, 0.512689 seconds, 628160 images, 0.169398 hours left\n", + "Loaded: 1.840781 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765421, GIOU: 0.751336), Class: 0.999500, Obj: 0.633096, No Obj: 0.002276, .5R: 0.941176, .75R: 0.676471, count: 34, class_loss = 0.411654, iou_loss = 0.277816, total_loss = 0.689469 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792876, GIOU: 0.781545), Class: 0.998602, Obj: 0.530686, No Obj: 0.000136, .5R: 1.000000, .75R: 0.642857, count: 14, class_loss = 0.141498, iou_loss = 0.086496, total_loss = 0.227994 \n", + " total_bbox = 1089374, rewritten_bbox = 2.671167 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770970, GIOU: 0.757830), Class: 0.999190, Obj: 0.664092, No Obj: 0.002671, .5R: 0.978261, .75R: 0.630435, count: 46, class_loss = 0.458415, iou_loss = 0.400297, total_loss = 0.858712 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778120, GIOU: 0.772157), Class: 0.998622, Obj: 0.627581, No Obj: 0.000179, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.153369, iou_loss = 0.102336, total_loss = 0.255705 \n", + " total_bbox = 1089435, rewritten_bbox = 2.671201 % \n", + "\n", + " 9816: 0.507970, 0.449363 avg loss, 0.000010 rate, 0.649795 seconds, 628224 images, 0.168822 hours left\n", + "Loaded: 1.914557 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780332, GIOU: 0.773557), Class: 0.999278, Obj: 0.684135, No Obj: 0.002994, .5R: 0.951219, .75R: 0.682927, count: 41, class_loss = 0.403273, iou_loss = 0.255558, total_loss = 0.658831 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775700, GIOU: 0.768529), Class: 0.999853, Obj: 0.633006, No Obj: 0.000118, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.096371, iou_loss = 0.046365, total_loss = 0.142735 \n", + " total_bbox = 1089485, rewritten_bbox = 2.671078 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777119, GIOU: 0.770356), Class: 0.999516, Obj: 0.724501, No Obj: 0.002209, .5R: 1.000000, .75R: 0.615385, count: 39, class_loss = 0.331281, iou_loss = 0.307764, total_loss = 0.639045 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740585, GIOU: 0.719103), Class: 0.999568, Obj: 0.628899, No Obj: 0.000195, .5R: 0.933333, .75R: 0.600000, count: 15, class_loss = 0.160923, iou_loss = 0.162721, total_loss = 0.323643 \n", + " total_bbox = 1089539, rewritten_bbox = 2.671221 % \n", + "\n", + " 9817: 0.441064, 0.448533 avg loss, 0.000010 rate, 0.728598 seconds, 628288 images, 0.168407 hours left\n", + "Loaded: 1.551670 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768047, GIOU: 0.761598), Class: 0.999503, Obj: 0.649942, No Obj: 0.002409, .5R: 1.000000, .75R: 0.558140, count: 43, class_loss = 0.448744, iou_loss = 0.282365, total_loss = 0.731108 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769990, GIOU: 0.760423), Class: 0.999940, Obj: 0.789856, No Obj: 0.000161, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.051644, iou_loss = 0.055108, total_loss = 0.106752 \n", + " total_bbox = 1089593, rewritten_bbox = 2.671181 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768389, GIOU: 0.757196), Class: 0.999518, Obj: 0.744454, No Obj: 0.002718, .5R: 0.941177, .75R: 0.705882, count: 51, class_loss = 0.377106, iou_loss = 0.340738, total_loss = 0.717845 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778583, GIOU: 0.776031), Class: 0.997784, Obj: 0.609452, No Obj: 0.000099, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.067339, iou_loss = 0.031226, total_loss = 0.098564 \n", + " total_bbox = 1089650, rewritten_bbox = 2.671133 % \n", + "\n", + " 9818: 0.413567, 0.445036 avg loss, 0.000010 rate, 0.687242 seconds, 628352 images, 0.168071 hours left\n", + "Loaded: 1.772596 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773100, GIOU: 0.766436), Class: 0.999524, Obj: 0.706748, No Obj: 0.002870, .5R: 0.980392, .75R: 0.627451, count: 51, class_loss = 0.434796, iou_loss = 0.284787, total_loss = 0.719583 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779297, GIOU: 0.769275), Class: 0.999168, Obj: 0.455232, No Obj: 0.000238, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.296332, iou_loss = 0.114226, total_loss = 0.410558 \n", + " total_bbox = 1089720, rewritten_bbox = 2.671237 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797096, GIOU: 0.790980), Class: 0.999508, Obj: 0.671562, No Obj: 0.003103, .5R: 1.000000, .75R: 0.767857, count: 56, class_loss = 0.499663, iou_loss = 0.308698, total_loss = 0.808361 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743953, GIOU: 0.737449), Class: 0.998478, Obj: 0.482552, No Obj: 0.000188, .5R: 0.933333, .75R: 0.533333, count: 15, class_loss = 0.251210, iou_loss = 0.110453, total_loss = 0.361663 \n", + " total_bbox = 1089791, rewritten_bbox = 2.671338 % \n", + "\n", + " 9819: 0.575041, 0.458037 avg loss, 0.000010 rate, 0.668454 seconds, 628416 images, 0.167522 hours left\n", + "Loaded: 1.871096 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804285, GIOU: 0.798788), Class: 0.999630, Obj: 0.743304, No Obj: 0.002759, .5R: 1.000000, .75R: 0.790698, count: 43, class_loss = 0.396368, iou_loss = 0.208970, total_loss = 0.605338 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774693, GIOU: 0.768541), Class: 0.997611, Obj: 0.595616, No Obj: 0.000304, .5R: 1.000000, .75R: 0.647059, count: 17, class_loss = 0.288923, iou_loss = 0.109812, total_loss = 0.398735 \n", + " total_bbox = 1089851, rewritten_bbox = 2.671374 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774334, GIOU: 0.764374), Class: 0.999383, Obj: 0.653430, No Obj: 0.002036, .5R: 1.000000, .75R: 0.666667, count: 33, class_loss = 0.329624, iou_loss = 0.175355, total_loss = 0.504979 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.823726, GIOU: 0.820524), Class: 0.999631, Obj: 0.741132, No Obj: 0.000157, .5R: 1.000000, .75R: 1.000000, count: 6, class_loss = 0.048816, iou_loss = 0.013509, total_loss = 0.062325 \n", + " total_bbox = 1089890, rewritten_bbox = 2.671371 % \n", + "\n", + " 9820: 0.392844, 0.451517 avg loss, 0.000010 rate, 0.704678 seconds, 628480 images, 0.167075 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.678499 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809928, GIOU: 0.804496), Class: 0.999538, Obj: 0.745363, No Obj: 0.002482, .5R: 1.000000, .75R: 0.783784, count: 37, class_loss = 0.337206, iou_loss = 0.177268, total_loss = 0.514474 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807920, GIOU: 0.800334), Class: 0.999901, Obj: 0.699584, No Obj: 0.000200, .5R: 1.000000, .75R: 0.833333, count: 12, class_loss = 0.132701, iou_loss = 0.050546, total_loss = 0.183248 \n", + " total_bbox = 1089939, rewritten_bbox = 2.671342 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788305, GIOU: 0.782289), Class: 0.999660, Obj: 0.727652, No Obj: 0.002482, .5R: 1.000000, .75R: 0.769231, count: 39, class_loss = 0.373464, iou_loss = 0.190100, total_loss = 0.563564 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733005, GIOU: 0.723195), Class: 0.997985, Obj: 0.573310, No Obj: 0.000206, .5R: 0.944444, .75R: 0.666667, count: 18, class_loss = 0.184174, iou_loss = 0.129212, total_loss = 0.313386 \n", + " total_bbox = 1089996, rewritten_bbox = 2.671294 % \n", + "\n", + " 9821: 0.393668, 0.445733 avg loss, 0.000010 rate, 0.713580 seconds, 628544 images, 0.166692 hours left\n", + "Loaded: 1.709552 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765760, GIOU: 0.757484), Class: 0.999488, Obj: 0.788104, No Obj: 0.002297, .5R: 1.000000, .75R: 0.555556, count: 36, class_loss = 0.218707, iou_loss = 0.219545, total_loss = 0.438252 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733654, GIOU: 0.714460), Class: 0.992733, Obj: 0.385135, No Obj: 0.000144, .5R: 0.916667, .75R: 0.750000, count: 12, class_loss = 0.226135, iou_loss = 0.090816, total_loss = 0.316951 \n", + " total_bbox = 1090044, rewritten_bbox = 2.671360 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788907, GIOU: 0.781638), Class: 0.999283, Obj: 0.658484, No Obj: 0.002950, .5R: 1.000000, .75R: 0.687500, count: 48, class_loss = 0.545303, iou_loss = 0.275321, total_loss = 0.820624 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771018, GIOU: 0.759828), Class: 0.998521, Obj: 0.282072, No Obj: 0.000085, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.124291, iou_loss = 0.036781, total_loss = 0.161072 \n", + " total_bbox = 1090097, rewritten_bbox = 2.671230 % \n", + "\n", + " 9822: 0.434225, 0.444582 avg loss, 0.000010 rate, 0.604841 seconds, 628608 images, 0.166227 hours left\n", + "Loaded: 1.865210 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789135, GIOU: 0.781474), Class: 0.999517, Obj: 0.734301, No Obj: 0.002942, .5R: 1.000000, .75R: 0.711111, count: 45, class_loss = 0.463993, iou_loss = 0.236414, total_loss = 0.700407 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.737407, GIOU: 0.728581), Class: 0.996612, Obj: 0.478970, No Obj: 0.000159, .5R: 0.909091, .75R: 0.454545, count: 11, class_loss = 0.182578, iou_loss = 0.090787, total_loss = 0.273365 \n", + " total_bbox = 1090153, rewritten_bbox = 2.671093 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799401, GIOU: 0.791138), Class: 0.999398, Obj: 0.760280, No Obj: 0.003248, .5R: 0.978261, .75R: 0.673913, count: 46, class_loss = 0.315006, iou_loss = 0.240707, total_loss = 0.555712 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.795339, GIOU: 0.787560), Class: 0.995175, Obj: 0.432207, No Obj: 0.000128, .5R: 1.000000, .75R: 0.818182, count: 11, class_loss = 0.176999, iou_loss = 0.068920, total_loss = 0.245919 \n", + " total_bbox = 1090210, rewritten_bbox = 2.670953 % \n", + "\n", + " 9823: 0.443851, 0.444509 avg loss, 0.000010 rate, 0.572860 seconds, 628672 images, 0.165709 hours left\n", + "Loaded: 1.797826 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796126, GIOU: 0.788194), Class: 0.999328, Obj: 0.674948, No Obj: 0.002622, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.408049, iou_loss = 0.228654, total_loss = 0.636704 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733213, GIOU: 0.718868), Class: 0.994967, Obj: 0.552286, No Obj: 0.000102, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.133494, iou_loss = 0.074884, total_loss = 0.208378 \n", + " total_bbox = 1090256, rewritten_bbox = 2.670932 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781520, GIOU: 0.775681), Class: 0.999187, Obj: 0.637189, No Obj: 0.002427, .5R: 1.000000, .75R: 0.651163, count: 43, class_loss = 0.447662, iou_loss = 0.245364, total_loss = 0.693026 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753361, GIOU: 0.747056), Class: 0.998362, Obj: 0.424049, No Obj: 0.000149, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.151342, iou_loss = 0.061841, total_loss = 0.213183 \n", + " total_bbox = 1090310, rewritten_bbox = 2.670984 % \n", + "\n", + " 9824: 0.437823, 0.443840 avg loss, 0.000010 rate, 0.598177 seconds, 628736 images, 0.165256 hours left\n", + "Loaded: 1.539065 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786641, GIOU: 0.777225), Class: 0.999212, Obj: 0.642811, No Obj: 0.002402, .5R: 0.976744, .75R: 0.697674, count: 43, class_loss = 0.490965, iou_loss = 0.240154, total_loss = 0.731118 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760379, GIOU: 0.747156), Class: 0.996466, Obj: 0.561505, No Obj: 0.000177, .5R: 0.933333, .75R: 0.666667, count: 15, class_loss = 0.175407, iou_loss = 0.153646, total_loss = 0.329053 \n", + " total_bbox = 1090368, rewritten_bbox = 2.670841 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.811454, GIOU: 0.805509), Class: 0.999595, Obj: 0.819140, No Obj: 0.002769, .5R: 1.000000, .75R: 0.790698, count: 43, class_loss = 0.184079, iou_loss = 0.160650, total_loss = 0.344728 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741921, GIOU: 0.731656), Class: 0.999085, Obj: 0.625327, No Obj: 0.000273, .5R: 0.947368, .75R: 0.578947, count: 19, class_loss = 0.216986, iou_loss = 0.172236, total_loss = 0.389221 \n", + " total_bbox = 1090430, rewritten_bbox = 2.670690 % \n", + "\n", + " 9825: 0.448530, 0.444309 avg loss, 0.000010 rate, 0.831152 seconds, 628800 images, 0.164775 hours left\n", + "Loaded: 1.678630 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.830497, GIOU: 0.824848), Class: 0.999018, Obj: 0.704541, No Obj: 0.002592, .5R: 1.000000, .75R: 0.794872, count: 39, class_loss = 0.394531, iou_loss = 0.176681, total_loss = 0.571213 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751589, GIOU: 0.744468), Class: 0.996567, Obj: 0.560564, No Obj: 0.000222, .5R: 0.944444, .75R: 0.555556, count: 18, class_loss = 0.232108, iou_loss = 0.131166, total_loss = 0.363274 \n", + " total_bbox = 1090487, rewritten_bbox = 2.670550 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797551, GIOU: 0.792239), Class: 0.999375, Obj: 0.719974, No Obj: 0.003072, .5R: 1.000000, .75R: 0.641509, count: 53, class_loss = 0.443345, iou_loss = 0.260595, total_loss = 0.703940 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784699, GIOU: 0.777514), Class: 0.999597, Obj: 0.400129, No Obj: 0.000090, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.150776, iou_loss = 0.058521, total_loss = 0.209297 \n", + " total_bbox = 1090548, rewritten_bbox = 2.670584 % \n", + "\n", + " 9826: 0.461931, 0.446071 avg loss, 0.000010 rate, 0.659721 seconds, 628864 images, 0.164279 hours left\n", + "Loaded: 1.929684 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805121, GIOU: 0.800424), Class: 0.999459, Obj: 0.769348, No Obj: 0.002862, .5R: 1.000000, .75R: 0.782609, count: 46, class_loss = 0.341788, iou_loss = 0.195312, total_loss = 0.537100 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768905, GIOU: 0.757298), Class: 0.999575, Obj: 0.673633, No Obj: 0.000157, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.090457, iou_loss = 0.052532, total_loss = 0.142988 \n", + " total_bbox = 1090602, rewritten_bbox = 2.670543 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791540, GIOU: 0.783422), Class: 0.999602, Obj: 0.668993, No Obj: 0.001647, .5R: 1.000000, .75R: 0.740741, count: 27, class_loss = 0.367416, iou_loss = 0.168590, total_loss = 0.536006 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783630, GIOU: 0.779643), Class: 0.999866, Obj: 0.705267, No Obj: 0.000232, .5R: 1.000000, .75R: 0.769231, count: 13, class_loss = 0.103833, iou_loss = 0.070038, total_loss = 0.173871 \n", + " total_bbox = 1090642, rewritten_bbox = 2.670445 % \n", + "\n", + " 9827: 0.347492, 0.436213 avg loss, 0.000010 rate, 0.771649 seconds, 628928 images, 0.163767 hours left\n", + "Loaded: 1.543373 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803467, GIOU: 0.795713), Class: 0.999199, Obj: 0.756040, No Obj: 0.002712, .5R: 1.000000, .75R: 0.731707, count: 41, class_loss = 0.228464, iou_loss = 0.225097, total_loss = 0.453561 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785671, GIOU: 0.777328), Class: 0.999732, Obj: 0.591792, No Obj: 0.000268, .5R: 1.000000, .75R: 0.684211, count: 19, class_loss = 0.236174, iou_loss = 0.099675, total_loss = 0.335848 \n", + " total_bbox = 1090702, rewritten_bbox = 2.670390 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795309, GIOU: 0.790234), Class: 0.999609, Obj: 0.707399, No Obj: 0.002813, .5R: 1.000000, .75R: 0.764706, count: 51, class_loss = 0.384393, iou_loss = 0.242049, total_loss = 0.626443 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746323, GIOU: 0.734291), Class: 0.997926, Obj: 0.574998, No Obj: 0.000257, .5R: 1.000000, .75R: 0.562500, count: 16, class_loss = 0.243238, iou_loss = 0.090166, total_loss = 0.333404 \n", + " total_bbox = 1090769, rewritten_bbox = 2.670410 % \n", + "\n", + " 9828: 0.437314, 0.436323 avg loss, 0.000010 rate, 0.744833 seconds, 628992 images, 0.163427 hours left\n", + "Loaded: 1.805918 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793902, GIOU: 0.786488), Class: 0.999566, Obj: 0.740633, No Obj: 0.002938, .5R: 1.000000, .75R: 0.711538, count: 52, class_loss = 0.381511, iou_loss = 0.246545, total_loss = 0.628056 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809020, GIOU: 0.802673), Class: 0.998179, Obj: 0.715238, No Obj: 0.000232, .5R: 1.000000, .75R: 0.750000, count: 12, class_loss = 0.117591, iou_loss = 0.048713, total_loss = 0.166305 \n", + " total_bbox = 1090833, rewritten_bbox = 2.670620 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771543, GIOU: 0.761890), Class: 0.999556, Obj: 0.648041, No Obj: 0.002525, .5R: 1.000000, .75R: 0.634146, count: 41, class_loss = 0.422809, iou_loss = 0.286255, total_loss = 0.709064 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751167, GIOU: 0.737578), Class: 0.999478, Obj: 0.413932, No Obj: 0.000122, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.185862, iou_loss = 0.096165, total_loss = 0.282027 \n", + " total_bbox = 1090885, rewritten_bbox = 2.670584 % \n", + "\n", + " 9829: 0.446363, 0.437327 avg loss, 0.000010 rate, 0.564393 seconds, 629056 images, 0.162886 hours left\n", + "Loaded: 1.554123 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800307, GIOU: 0.793937), Class: 0.999540, Obj: 0.730346, No Obj: 0.003193, .5R: 1.000000, .75R: 0.767857, count: 56, class_loss = 0.401299, iou_loss = 0.256122, total_loss = 0.657422 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720843, GIOU: 0.720009), Class: 0.997891, Obj: 0.367840, No Obj: 0.000075, .5R: 0.750000, .75R: 0.500000, count: 4, class_loss = 0.076294, iou_loss = 0.047363, total_loss = 0.123658 \n", + " total_bbox = 1090945, rewritten_bbox = 2.670529 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798584, GIOU: 0.792664), Class: 0.999243, Obj: 0.720865, No Obj: 0.002928, .5R: 1.000000, .75R: 0.760870, count: 46, class_loss = 0.455094, iou_loss = 0.252291, total_loss = 0.707385 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785375, GIOU: 0.777953), Class: 0.997082, Obj: 0.480653, No Obj: 0.000197, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.241963, iou_loss = 0.069992, total_loss = 0.311955 \n", + " total_bbox = 1091004, rewritten_bbox = 2.670384 % \n", + "\n", + " 9830: 0.450105, 0.438605 avg loss, 0.000010 rate, 0.727753 seconds, 629120 images, 0.162383 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.790817 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786980, GIOU: 0.778941), Class: 0.999798, Obj: 0.655952, No Obj: 0.002695, .5R: 1.000000, .75R: 0.781250, count: 32, class_loss = 0.302355, iou_loss = 0.120684, total_loss = 0.423039 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744582, GIOU: 0.734594), Class: 0.998354, Obj: 0.478208, No Obj: 0.000272, .5R: 1.000000, .75R: 0.571429, count: 14, class_loss = 0.203219, iou_loss = 0.103859, total_loss = 0.307078 \n", + " total_bbox = 1091050, rewritten_bbox = 2.670272 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780814, GIOU: 0.774059), Class: 0.999678, Obj: 0.669738, No Obj: 0.002712, .5R: 1.000000, .75R: 0.771429, count: 35, class_loss = 0.298917, iou_loss = 0.194600, total_loss = 0.493517 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761523, GIOU: 0.752393), Class: 0.999121, Obj: 0.519108, No Obj: 0.000472, .5R: 1.000000, .75R: 0.600000, count: 20, class_loss = 0.330782, iou_loss = 0.121823, total_loss = 0.452605 \n", + " total_bbox = 1091105, rewritten_bbox = 2.670137 % \n", + "\n", + " 9831: 0.419059, 0.436650 avg loss, 0.000010 rate, 0.415807 seconds, 629184 images, 0.161837 hours left\n", + "Loaded: 2.209590 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.818109, GIOU: 0.813650), Class: 0.999779, Obj: 0.835078, No Obj: 0.003058, .5R: 1.000000, .75R: 0.827586, count: 29, class_loss = 0.195452, iou_loss = 0.099940, total_loss = 0.295392 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735949, GIOU: 0.727077), Class: 0.998944, Obj: 0.581735, No Obj: 0.000452, .5R: 0.904762, .75R: 0.476190, count: 21, class_loss = 0.281473, iou_loss = 0.226272, total_loss = 0.507745 \n", + " total_bbox = 1091155, rewritten_bbox = 2.670198 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791865, GIOU: 0.786453), Class: 0.999255, Obj: 0.648007, No Obj: 0.002766, .5R: 1.000000, .75R: 0.705882, count: 34, class_loss = 0.308502, iou_loss = 0.169531, total_loss = 0.478033 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754261, GIOU: 0.745112), Class: 0.999160, Obj: 0.573129, No Obj: 0.000320, .5R: 1.000000, .75R: 0.625000, count: 16, class_loss = 0.187896, iou_loss = 0.120692, total_loss = 0.308588 \n", + " total_bbox = 1091205, rewritten_bbox = 2.670076 % \n", + "\n", + " 9832: 0.397439, 0.432729 avg loss, 0.000010 rate, 0.432358 seconds, 629248 images, 0.161256 hours left\n", + "Loaded: 2.041599 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776163, GIOU: 0.768575), Class: 0.999222, Obj: 0.664236, No Obj: 0.003433, .5R: 1.000000, .75R: 0.613636, count: 44, class_loss = 0.432341, iou_loss = 0.256626, total_loss = 0.688967 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784757, GIOU: 0.778666), Class: 0.999405, Obj: 0.587502, No Obj: 0.000298, .5R: 1.000000, .75R: 0.647059, count: 17, class_loss = 0.187952, iou_loss = 0.093313, total_loss = 0.281265 \n", + " total_bbox = 1091266, rewritten_bbox = 2.670201 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792684, GIOU: 0.786388), Class: 0.999444, Obj: 0.668005, No Obj: 0.003478, .5R: 1.000000, .75R: 0.720930, count: 43, class_loss = 0.379116, iou_loss = 0.220379, total_loss = 0.599495 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788854, GIOU: 0.781638), Class: 0.999001, Obj: 0.673318, No Obj: 0.000621, .5R: 1.000000, .75R: 0.656250, count: 32, class_loss = 0.284825, iou_loss = 0.182917, total_loss = 0.467742 \n", + " total_bbox = 1091341, rewritten_bbox = 2.670201 % \n", + "\n", + " 9833: 0.509367, 0.440393 avg loss, 0.000010 rate, 0.367160 seconds, 629312 images, 0.160881 hours left\n", + "Loaded: 2.047484 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771984, GIOU: 0.762577), Class: 0.999384, Obj: 0.640416, No Obj: 0.002535, .5R: 1.000000, .75R: 0.724138, count: 29, class_loss = 0.389885, iou_loss = 0.168947, total_loss = 0.558832 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792286, GIOU: 0.785144), Class: 0.999221, Obj: 0.704839, No Obj: 0.000796, .5R: 1.000000, .75R: 0.705882, count: 34, class_loss = 0.260399, iou_loss = 0.177080, total_loss = 0.437480 \n", + " total_bbox = 1091404, rewritten_bbox = 2.670230 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802901, GIOU: 0.796249), Class: 0.999618, Obj: 0.650236, No Obj: 0.002365, .5R: 1.000000, .75R: 0.793103, count: 29, class_loss = 0.324411, iou_loss = 0.114147, total_loss = 0.438558 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733420, GIOU: 0.719485), Class: 0.998976, Obj: 0.553098, No Obj: 0.000375, .5R: 0.944444, .75R: 0.500000, count: 18, class_loss = 0.250788, iou_loss = 0.135771, total_loss = 0.386559 \n", + " total_bbox = 1091451, rewritten_bbox = 2.670115 % \n", + "\n", + " 9834: 0.455357, 0.441890 avg loss, 0.000010 rate, 0.416181 seconds, 629376 images, 0.160389 hours left\n", + "Loaded: 1.932948 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814970, GIOU: 0.809515), Class: 0.999463, Obj: 0.785915, No Obj: 0.003822, .5R: 0.974359, .75R: 0.871795, count: 39, class_loss = 0.187363, iou_loss = 0.134602, total_loss = 0.321965 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.720801, GIOU: 0.702384), Class: 0.997612, Obj: 0.419084, No Obj: 0.000250, .5R: 1.000000, .75R: 0.294118, count: 17, class_loss = 0.316763, iou_loss = 0.188018, total_loss = 0.504780 \n", + " total_bbox = 1091507, rewritten_bbox = 2.670161 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783181, GIOU: 0.774649), Class: 0.999720, Obj: 0.610961, No Obj: 0.002808, .5R: 1.000000, .75R: 0.666667, count: 36, class_loss = 0.506114, iou_loss = 0.157252, total_loss = 0.663366 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794777, GIOU: 0.788627), Class: 0.999804, Obj: 0.553835, No Obj: 0.000276, .5R: 1.000000, .75R: 0.818182, count: 11, class_loss = 0.140579, iou_loss = 0.045142, total_loss = 0.185721 \n", + " total_bbox = 1091554, rewritten_bbox = 2.670047 % \n", + "\n", + " 9835: 0.418958, 0.439596 avg loss, 0.000010 rate, 0.384646 seconds, 629440 images, 0.159922 hours left\n", + "Loaded: 1.922389 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792974, GIOU: 0.782498), Class: 0.999555, Obj: 0.749013, No Obj: 0.002118, .5R: 1.000000, .75R: 0.600000, count: 25, class_loss = 0.194768, iou_loss = 0.111452, total_loss = 0.306220 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742665, GIOU: 0.732685), Class: 0.993993, Obj: 0.534569, No Obj: 0.000473, .5R: 0.913043, .75R: 0.608696, count: 23, class_loss = 0.353540, iou_loss = 0.167337, total_loss = 0.520876 \n", + " total_bbox = 1091602, rewritten_bbox = 2.669929 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764236, GIOU: 0.755444), Class: 0.999754, Obj: 0.689112, No Obj: 0.002897, .5R: 0.971429, .75R: 0.685714, count: 35, class_loss = 0.344273, iou_loss = 0.182982, total_loss = 0.527255 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734765, GIOU: 0.713384), Class: 0.993591, Obj: 0.577006, No Obj: 0.000278, .5R: 0.846154, .75R: 0.692308, count: 13, class_loss = 0.123563, iou_loss = 0.143389, total_loss = 0.266953 \n", + " total_bbox = 1091650, rewritten_bbox = 2.669903 % \n", + "\n", + " 9836: 0.405326, 0.436169 avg loss, 0.000010 rate, 0.393320 seconds, 629504 images, 0.159388 hours left\n", + "Loaded: 1.646106 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.814243, GIOU: 0.810284), Class: 0.999275, Obj: 0.733112, No Obj: 0.003510, .5R: 1.000000, .75R: 0.815789, count: 38, class_loss = 0.286331, iou_loss = 0.137536, total_loss = 0.423868 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800779, GIOU: 0.793603), Class: 0.998787, Obj: 0.699098, No Obj: 0.000549, .5R: 0.958333, .75R: 0.750000, count: 24, class_loss = 0.190832, iou_loss = 0.112120, total_loss = 0.302952 \n", + " total_bbox = 1091712, rewritten_bbox = 2.670027 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787199, GIOU: 0.778246), Class: 0.999720, Obj: 0.705272, No Obj: 0.002648, .5R: 1.000000, .75R: 0.645161, count: 31, class_loss = 0.308343, iou_loss = 0.164564, total_loss = 0.472907 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.744217, GIOU: 0.731200), Class: 0.999021, Obj: 0.646709, No Obj: 0.000342, .5R: 0.944444, .75R: 0.722222, count: 18, class_loss = 0.167495, iou_loss = 0.105845, total_loss = 0.273340 \n", + " total_bbox = 1091761, rewritten_bbox = 2.669998 % \n", + "\n", + " 9837: 0.368267, 0.429379 avg loss, 0.000010 rate, 0.487802 seconds, 629568 images, 0.158849 hours left\n", + "Loaded: 1.699372 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.756710, GIOU: 0.747127), Class: 0.999683, Obj: 0.645624, No Obj: 0.002773, .5R: 0.972222, .75R: 0.583333, count: 36, class_loss = 0.377541, iou_loss = 0.306381, total_loss = 0.683922 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803226, GIOU: 0.798095), Class: 0.993855, Obj: 0.648818, No Obj: 0.000406, .5R: 1.000000, .75R: 0.894737, count: 19, class_loss = 0.207557, iou_loss = 0.093448, total_loss = 0.301005 \n", + " total_bbox = 1091816, rewritten_bbox = 2.669864 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792525, GIOU: 0.785831), Class: 0.999663, Obj: 0.707280, No Obj: 0.003111, .5R: 1.000000, .75R: 0.743590, count: 39, class_loss = 0.344087, iou_loss = 0.214630, total_loss = 0.558717 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747138, GIOU: 0.700451), Class: 0.992429, Obj: 0.632173, No Obj: 0.000250, .5R: 0.900000, .75R: 0.700000, count: 10, class_loss = 0.117112, iou_loss = 0.200359, total_loss = 0.317471 \n", + " total_bbox = 1091865, rewritten_bbox = 2.669927 % \n", + "\n", + " 9838: 0.465279, 0.432969 avg loss, 0.000010 rate, 0.482457 seconds, 629632 images, 0.158227 hours left\n", + "Loaded: 1.948566 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783061, GIOU: 0.773477), Class: 0.999534, Obj: 0.657464, No Obj: 0.003308, .5R: 1.000000, .75R: 0.675000, count: 40, class_loss = 0.401053, iou_loss = 0.200033, total_loss = 0.601086 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753170, GIOU: 0.744420), Class: 0.997922, Obj: 0.566972, No Obj: 0.000373, .5R: 1.000000, .75R: 0.529412, count: 17, class_loss = 0.235039, iou_loss = 0.107164, total_loss = 0.342204 \n", + " total_bbox = 1091922, rewritten_bbox = 2.669879 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773539, GIOU: 0.766222), Class: 0.999383, Obj: 0.653722, No Obj: 0.002506, .5R: 0.968750, .75R: 0.625000, count: 32, class_loss = 0.336619, iou_loss = 0.185374, total_loss = 0.521993 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763211, GIOU: 0.753903), Class: 0.998092, Obj: 0.552321, No Obj: 0.000520, .5R: 1.000000, .75R: 0.576923, count: 26, class_loss = 0.374300, iou_loss = 0.164858, total_loss = 0.539158 \n", + " total_bbox = 1091980, rewritten_bbox = 2.669829 % \n", + "\n", + " 9839: 0.501110, 0.439783 avg loss, 0.000010 rate, 0.430995 seconds, 629696 images, 0.157626 hours left\n", + "Loaded: 1.398971 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804900, GIOU: 0.799322), Class: 0.999672, Obj: 0.788464, No Obj: 0.003117, .5R: 1.000000, .75R: 0.750000, count: 36, class_loss = 0.263598, iou_loss = 0.131360, total_loss = 0.394957 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769117, GIOU: 0.758152), Class: 0.992747, Obj: 0.623488, No Obj: 0.000357, .5R: 0.928571, .75R: 0.714286, count: 14, class_loss = 0.148668, iou_loss = 0.062226, total_loss = 0.210893 \n", + " total_bbox = 1092030, rewritten_bbox = 2.669707 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812035, GIOU: 0.807871), Class: 0.999843, Obj: 0.757877, No Obj: 0.004072, .5R: 1.000000, .75R: 0.813953, count: 43, class_loss = 0.248678, iou_loss = 0.144931, total_loss = 0.393609 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761594, GIOU: 0.753138), Class: 0.998595, Obj: 0.573495, No Obj: 0.000483, .5R: 0.952381, .75R: 0.666667, count: 21, class_loss = 0.212940, iou_loss = 0.138478, total_loss = 0.351418 \n", + " total_bbox = 1092094, rewritten_bbox = 2.669734 % \n", + "\n", + " 9840: 0.337720, 0.429577 avg loss, 0.000010 rate, 0.344271 seconds, 629760 images, 0.157114 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 320 x 320 \n", + " try to allocate additional workspace_size = 1221.07 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.151674 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759137, GIOU: 0.747298), Class: 0.999527, Obj: 0.526281, No Obj: 0.002555, .5R: 1.000000, .75R: 0.541667, count: 24, class_loss = 0.389300, iou_loss = 0.131811, total_loss = 0.521111 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778057, GIOU: 0.769158), Class: 0.999114, Obj: 0.679320, No Obj: 0.001227, .5R: 1.000000, .75R: 0.565217, count: 46, class_loss = 0.382875, iou_loss = 0.245989, total_loss = 0.628864 \n", + " total_bbox = 1092164, rewritten_bbox = 2.670112 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768826, GIOU: 0.761473), Class: 0.999766, Obj: 0.665513, No Obj: 0.003258, .5R: 1.000000, .75R: 0.608696, count: 23, class_loss = 0.194514, iou_loss = 0.111070, total_loss = 0.305584 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772842, GIOU: 0.765363), Class: 0.998715, Obj: 0.607521, No Obj: 0.001166, .5R: 0.969697, .75R: 0.545455, count: 33, class_loss = 0.323438, iou_loss = 0.191332, total_loss = 0.514770 \n", + " total_bbox = 1092220, rewritten_bbox = 2.669975 % \n", + "\n", + " 9841: 0.492582, 0.435877 avg loss, 0.000010 rate, 0.271180 seconds, 629824 images, 0.156318 hours left\n", + "Loaded: 1.787799 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782733, GIOU: 0.775884), Class: 0.998866, Obj: 0.520429, No Obj: 0.002043, .5R: 1.000000, .75R: 0.928571, count: 14, class_loss = 0.297305, iou_loss = 0.066833, total_loss = 0.364138 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751238, GIOU: 0.740344), Class: 0.998878, Obj: 0.504905, No Obj: 0.001123, .5R: 0.976744, .75R: 0.534884, count: 43, class_loss = 0.683030, iou_loss = 0.281196, total_loss = 0.964225 \n", + " total_bbox = 1092277, rewritten_bbox = 2.670110 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760649, GIOU: 0.752111), Class: 0.999863, Obj: 0.722335, No Obj: 0.002875, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.237634, iou_loss = 0.082313, total_loss = 0.319948 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735847, GIOU: 0.720676), Class: 0.998886, Obj: 0.569681, No Obj: 0.000967, .5R: 0.969697, .75R: 0.484848, count: 33, class_loss = 0.359305, iou_loss = 0.214134, total_loss = 0.573439 \n", + " total_bbox = 1092329, rewritten_bbox = 2.670075 % \n", + "\n", + " 9842: 0.555438, 0.447833 avg loss, 0.000010 rate, 0.282578 seconds, 629888 images, 0.154942 hours left\n", + "Loaded: 1.929096 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795151, GIOU: 0.788909), Class: 0.999860, Obj: 0.729528, No Obj: 0.003221, .5R: 1.000000, .75R: 0.761905, count: 21, class_loss = 0.236192, iou_loss = 0.064263, total_loss = 0.300455 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756849, GIOU: 0.747058), Class: 0.997993, Obj: 0.546744, No Obj: 0.001183, .5R: 0.972222, .75R: 0.583333, count: 36, class_loss = 0.424631, iou_loss = 0.222631, total_loss = 0.647262 \n", + " total_bbox = 1092386, rewritten_bbox = 2.669935 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.736959, GIOU: 0.717902), Class: 0.999800, Obj: 0.554836, No Obj: 0.002658, .5R: 0.920000, .75R: 0.480000, count: 25, class_loss = 0.299680, iou_loss = 0.213220, total_loss = 0.512900 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.727851, GIOU: 0.711876), Class: 0.996746, Obj: 0.440995, No Obj: 0.000665, .5R: 0.961538, .75R: 0.538462, count: 26, class_loss = 0.421489, iou_loss = 0.211234, total_loss = 0.632723 \n", + " total_bbox = 1092437, rewritten_bbox = 2.669994 % \n", + "\n", + " 9843: 0.523335, 0.455384 avg loss, 0.000010 rate, 0.259325 seconds, 629952 images, 0.154304 hours left\n", + "Loaded: 1.664504 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757643, GIOU: 0.750683), Class: 0.999627, Obj: 0.674012, No Obj: 0.003533, .5R: 0.925926, .75R: 0.592593, count: 27, class_loss = 0.299729, iou_loss = 0.212827, total_loss = 0.512557 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.709010, GIOU: 0.691726), Class: 0.996647, Obj: 0.500588, No Obj: 0.001129, .5R: 0.948718, .75R: 0.384615, count: 39, class_loss = 0.661220, iou_loss = 0.360668, total_loss = 1.021889 \n", + " total_bbox = 1092503, rewritten_bbox = 2.669924 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792256, GIOU: 0.782874), Class: 0.999747, Obj: 0.567293, No Obj: 0.002085, .5R: 1.000000, .75R: 0.555556, count: 18, class_loss = 0.195009, iou_loss = 0.074171, total_loss = 0.269181 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711905, GIOU: 0.697167), Class: 0.991215, Obj: 0.443178, No Obj: 0.000919, .5R: 0.842105, .75R: 0.526316, count: 38, class_loss = 0.634536, iou_loss = 0.382161, total_loss = 1.016698 \n", + " total_bbox = 1092559, rewritten_bbox = 2.669879 % \n", + "\n", + " 9844: 0.705081, 0.480353 avg loss, 0.000010 rate, 0.296061 seconds, 630016 images, 0.153715 hours left\n", + "Loaded: 1.620993 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.750334, GIOU: 0.741476), Class: 0.999589, Obj: 0.654756, No Obj: 0.003633, .5R: 1.000000, .75R: 0.517241, count: 29, class_loss = 0.378026, iou_loss = 0.181319, total_loss = 0.559344 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.749818, GIOU: 0.740595), Class: 0.998589, Obj: 0.603669, No Obj: 0.000875, .5R: 1.000000, .75R: 0.518519, count: 27, class_loss = 0.308044, iou_loss = 0.137568, total_loss = 0.445612 \n", + " total_bbox = 1092615, rewritten_bbox = 2.670108 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770496, GIOU: 0.763011), Class: 0.999541, Obj: 0.563231, No Obj: 0.003971, .5R: 1.000000, .75R: 0.666667, count: 30, class_loss = 0.412279, iou_loss = 0.163229, total_loss = 0.575508 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.666468, GIOU: 0.646820), Class: 0.990172, Obj: 0.431119, No Obj: 0.001025, .5R: 0.813953, .75R: 0.395349, count: 43, class_loss = 0.690340, iou_loss = 0.518829, total_loss = 1.209169 \n", + " total_bbox = 1092688, rewritten_bbox = 2.670021 % \n", + "\n", + " 9845: 0.697408, 0.502059 avg loss, 0.000010 rate, 0.246864 seconds, 630080 images, 0.153029 hours left\n", + "Loaded: 1.675493 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.764416, GIOU: 0.756509), Class: 0.999220, Obj: 0.633549, No Obj: 0.003844, .5R: 0.966667, .75R: 0.700000, count: 30, class_loss = 0.323433, iou_loss = 0.205460, total_loss = 0.528893 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.672604, GIOU: 0.653668), Class: 0.992635, Obj: 0.501414, No Obj: 0.000849, .5R: 0.866667, .75R: 0.433333, count: 30, class_loss = 0.452522, iou_loss = 0.438175, total_loss = 0.890696 \n", + " total_bbox = 1092748, rewritten_bbox = 2.669966 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.749113, GIOU: 0.743714), Class: 0.999627, Obj: 0.718199, No Obj: 0.002350, .5R: 1.000000, .75R: 0.588235, count: 17, class_loss = 0.140651, iou_loss = 0.123290, total_loss = 0.263941 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.732900, GIOU: 0.721885), Class: 0.998314, Obj: 0.519008, No Obj: 0.001345, .5R: 0.918367, .75R: 0.551020, count: 49, class_loss = 0.677290, iou_loss = 0.488166, total_loss = 1.165456 \n", + " total_bbox = 1092814, rewritten_bbox = 2.669896 % \n", + "\n", + " 9846: 0.712247, 0.523078 avg loss, 0.000010 rate, 0.242640 seconds, 630144 images, 0.152303 hours left\n", + "Loaded: 1.738780 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759106, GIOU: 0.753463), Class: 0.999797, Obj: 0.769764, No Obj: 0.003016, .5R: 1.000000, .75R: 0.545455, count: 22, class_loss = 0.192503, iou_loss = 0.135651, total_loss = 0.328155 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769285, GIOU: 0.758509), Class: 0.998025, Obj: 0.505612, No Obj: 0.000792, .5R: 1.000000, .75R: 0.615385, count: 26, class_loss = 0.385545, iou_loss = 0.155713, total_loss = 0.541258 \n", + " total_bbox = 1092862, rewritten_bbox = 2.669962 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.740967, GIOU: 0.732399), Class: 0.999709, Obj: 0.676094, No Obj: 0.003799, .5R: 0.960000, .75R: 0.520000, count: 25, class_loss = 0.274609, iou_loss = 0.165249, total_loss = 0.439858 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751491, GIOU: 0.741832), Class: 0.997066, Obj: 0.578514, No Obj: 0.000851, .5R: 0.962963, .75R: 0.481481, count: 27, class_loss = 0.315573, iou_loss = 0.235489, total_loss = 0.551063 \n", + " total_bbox = 1092914, rewritten_bbox = 2.669926 % \n", + "\n", + " 9847: 0.465083, 0.517278 avg loss, 0.000010 rate, 0.268335 seconds, 630208 images, 0.151601 hours left\n", + "Loaded: 2.467439 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757284, GIOU: 0.748068), Class: 0.999654, Obj: 0.639294, No Obj: 0.003103, .5R: 1.000000, .75R: 0.684211, count: 19, class_loss = 0.293611, iou_loss = 0.110778, total_loss = 0.404389 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779132, GIOU: 0.771442), Class: 0.999387, Obj: 0.631658, No Obj: 0.001329, .5R: 0.975000, .75R: 0.700000, count: 40, class_loss = 0.403566, iou_loss = 0.217727, total_loss = 0.621292 \n", + " total_bbox = 1092973, rewritten_bbox = 2.669874 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793079, GIOU: 0.788384), Class: 0.999736, Obj: 0.702620, No Obj: 0.002814, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.224004, iou_loss = 0.099992, total_loss = 0.323995 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716389, GIOU: 0.691581), Class: 0.998945, Obj: 0.643743, No Obj: 0.000885, .5R: 0.933333, .75R: 0.600000, count: 30, class_loss = 0.330783, iou_loss = 0.300354, total_loss = 0.631137 \n", + " total_bbox = 1093026, rewritten_bbox = 2.670019 % \n", + "\n", + " 9848: 0.495203, 0.515071 avg loss, 0.000010 rate, 0.292481 seconds, 630272 images, 0.150939 hours left\n", + "Loaded: 1.838234 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761411, GIOU: 0.752197), Class: 0.999160, Obj: 0.605793, No Obj: 0.004005, .5R: 0.968750, .75R: 0.593750, count: 32, class_loss = 0.340846, iou_loss = 0.182783, total_loss = 0.523629 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.790437, GIOU: 0.783521), Class: 0.999062, Obj: 0.636641, No Obj: 0.000661, .5R: 1.000000, .75R: 0.722222, count: 18, class_loss = 0.210306, iou_loss = 0.075431, total_loss = 0.285737 \n", + " total_bbox = 1093076, rewritten_bbox = 2.669988 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766311, GIOU: 0.754603), Class: 0.999906, Obj: 0.712806, No Obj: 0.002183, .5R: 0.933333, .75R: 0.666667, count: 15, class_loss = 0.158223, iou_loss = 0.081238, total_loss = 0.239461 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765482, GIOU: 0.756001), Class: 0.998474, Obj: 0.628455, No Obj: 0.001273, .5R: 1.000000, .75R: 0.589744, count: 39, class_loss = 0.405406, iou_loss = 0.203353, total_loss = 0.608759 \n", + " total_bbox = 1093130, rewritten_bbox = 2.670039 % \n", + "\n", + " 9849: 0.414396, 0.505003 avg loss, 0.000010 rate, 0.242525 seconds, 630336 images, 0.150595 hours left\n", + "Loaded: 1.914926 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806133, GIOU: 0.799236), Class: 0.999679, Obj: 0.549812, No Obj: 0.003523, .5R: 1.000000, .75R: 0.703704, count: 27, class_loss = 0.381266, iou_loss = 0.109462, total_loss = 0.490728 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735906, GIOU: 0.726044), Class: 0.998309, Obj: 0.445035, No Obj: 0.000652, .5R: 0.956522, .75R: 0.478261, count: 23, class_loss = 0.359740, iou_loss = 0.149625, total_loss = 0.509365 \n", + " total_bbox = 1093180, rewritten_bbox = 2.670009 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755071, GIOU: 0.745544), Class: 0.999591, Obj: 0.737214, No Obj: 0.002498, .5R: 1.000000, .75R: 0.650000, count: 20, class_loss = 0.140245, iou_loss = 0.174393, total_loss = 0.314638 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759758, GIOU: 0.749558), Class: 0.999147, Obj: 0.622580, No Obj: 0.001240, .5R: 0.974359, .75R: 0.564103, count: 39, class_loss = 0.391830, iou_loss = 0.227287, total_loss = 0.619117 \n", + " total_bbox = 1093239, rewritten_bbox = 2.670139 % \n", + "\n", + " 9850: 0.483462, 0.502849 avg loss, 0.000010 rate, 0.200529 seconds, 630400 images, 0.149961 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000032 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754430, GIOU: 0.742080), Class: 0.999399, Obj: 0.569979, No Obj: 0.003418, .5R: 0.978723, .75R: 0.574468, count: 47, class_loss = 0.591311, iou_loss = 0.335838, total_loss = 0.927148 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758753, GIOU: 0.748067), Class: 0.998764, Obj: 0.538096, No Obj: 0.000271, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.156343, iou_loss = 0.063031, total_loss = 0.219374 \n", + " total_bbox = 1093297, rewritten_bbox = 2.670089 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815878, GIOU: 0.812554), Class: 0.999478, Obj: 0.775988, No Obj: 0.003536, .5R: 1.000000, .75R: 0.785714, count: 42, class_loss = 0.228475, iou_loss = 0.148850, total_loss = 0.377325 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.726525, GIOU: 0.680659), Class: 0.981819, Obj: 0.507302, No Obj: 0.000350, .5R: 0.882353, .75R: 0.705882, count: 17, class_loss = 0.244970, iou_loss = 0.121540, total_loss = 0.366511 \n", + " total_bbox = 1093356, rewritten_bbox = 2.670036 % \n", + "\n", + " 9851: 0.472589, 0.499823 avg loss, 0.000010 rate, 0.373520 seconds, 630464 images, 0.149343 hours left\n", + "Loaded: 1.640812 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802513, GIOU: 0.799625), Class: 0.999335, Obj: 0.751327, No Obj: 0.002998, .5R: 1.000000, .75R: 0.731707, count: 41, class_loss = 0.267763, iou_loss = 0.192469, total_loss = 0.460232 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747519, GIOU: 0.721803), Class: 0.993364, Obj: 0.596339, No Obj: 0.000568, .5R: 0.965517, .75R: 0.689655, count: 29, class_loss = 0.376437, iou_loss = 0.176495, total_loss = 0.552932 \n", + " total_bbox = 1093426, rewritten_bbox = 2.670231 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767288, GIOU: 0.757341), Class: 0.999774, Obj: 0.715765, No Obj: 0.002856, .5R: 0.972973, .75R: 0.594595, count: 37, class_loss = 0.332286, iou_loss = 0.189060, total_loss = 0.521345 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754998, GIOU: 0.741787), Class: 0.999663, Obj: 0.589761, No Obj: 0.000388, .5R: 1.000000, .75R: 0.588235, count: 17, class_loss = 0.254629, iou_loss = 0.131769, total_loss = 0.386398 \n", + " total_bbox = 1093480, rewritten_bbox = 2.670282 % \n", + "\n", + " 9852: 0.480227, 0.497864 avg loss, 0.000010 rate, 0.408626 seconds, 630528 images, 0.148005 hours left\n", + "Loaded: 1.602256 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795503, GIOU: 0.786645), Class: 0.999577, Obj: 0.758126, No Obj: 0.003150, .5R: 0.974359, .75R: 0.641026, count: 39, class_loss = 0.253716, iou_loss = 0.223604, total_loss = 0.477320 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805615, GIOU: 0.800033), Class: 0.999620, Obj: 0.501826, No Obj: 0.000339, .5R: 1.000000, .75R: 0.733333, count: 15, class_loss = 0.201553, iou_loss = 0.054756, total_loss = 0.256309 \n", + " total_bbox = 1093534, rewritten_bbox = 2.670242 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803471, GIOU: 0.798142), Class: 0.999137, Obj: 0.700401, No Obj: 0.003632, .5R: 1.000000, .75R: 0.808511, count: 47, class_loss = 0.324814, iou_loss = 0.195122, total_loss = 0.519936 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741618, GIOU: 0.718670), Class: 0.999485, Obj: 0.681294, No Obj: 0.000387, .5R: 0.923077, .75R: 0.538462, count: 13, class_loss = 0.148190, iou_loss = 0.102809, total_loss = 0.250999 \n", + " total_bbox = 1093594, rewritten_bbox = 2.670278 % \n", + "\n", + " 9853: 0.376141, 0.485691 avg loss, 0.000010 rate, 0.338255 seconds, 630592 images, 0.147368 hours left\n", + "Loaded: 1.856096 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797504, GIOU: 0.788116), Class: 0.999768, Obj: 0.771960, No Obj: 0.002772, .5R: 1.000000, .75R: 0.633333, count: 30, class_loss = 0.210724, iou_loss = 0.133158, total_loss = 0.343882 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791436, GIOU: 0.787084), Class: 0.999261, Obj: 0.555027, No Obj: 0.000523, .5R: 1.000000, .75R: 0.740741, count: 27, class_loss = 0.314808, iou_loss = 0.136248, total_loss = 0.451056 \n", + " total_bbox = 1093651, rewritten_bbox = 2.670413 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790835, GIOU: 0.786586), Class: 0.999746, Obj: 0.658784, No Obj: 0.003119, .5R: 1.000000, .75R: 0.729730, count: 37, class_loss = 0.404364, iou_loss = 0.191748, total_loss = 0.596112 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.693586, GIOU: 0.667805), Class: 0.996138, Obj: 0.587120, No Obj: 0.000193, .5R: 0.888889, .75R: 0.666667, count: 9, class_loss = 0.115134, iou_loss = 0.136192, total_loss = 0.251326 \n", + " total_bbox = 1093697, rewritten_bbox = 2.670301 % \n", + "\n", + " 9854: 0.410594, 0.478182 avg loss, 0.000010 rate, 0.341635 seconds, 630656 images, 0.146686 hours left\n", + "Loaded: 1.707312 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774079, GIOU: 0.760802), Class: 0.998952, Obj: 0.687637, No Obj: 0.003064, .5R: 0.972222, .75R: 0.666667, count: 36, class_loss = 0.353764, iou_loss = 0.219562, total_loss = 0.573326 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797366, GIOU: 0.789659), Class: 0.998684, Obj: 0.615383, No Obj: 0.000412, .5R: 1.000000, .75R: 0.700000, count: 20, class_loss = 0.225110, iou_loss = 0.091859, total_loss = 0.316969 \n", + " total_bbox = 1093753, rewritten_bbox = 2.670164 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797064, GIOU: 0.791917), Class: 0.999735, Obj: 0.705201, No Obj: 0.002795, .5R: 1.000000, .75R: 0.666667, count: 36, class_loss = 0.307269, iou_loss = 0.134343, total_loss = 0.441612 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779700, GIOU: 0.775530), Class: 0.999390, Obj: 0.551766, No Obj: 0.000266, .5R: 1.000000, .75R: 0.583333, count: 12, class_loss = 0.141224, iou_loss = 0.052042, total_loss = 0.193265 \n", + " total_bbox = 1093801, rewritten_bbox = 2.670047 % \n", + "\n", + " 9855: 0.381293, 0.468493 avg loss, 0.000010 rate, 0.350216 seconds, 630720 images, 0.146111 hours left\n", + "Loaded: 1.791673 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781140, GIOU: 0.771752), Class: 0.999258, Obj: 0.703517, No Obj: 0.003442, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.372805, iou_loss = 0.216921, total_loss = 0.589727 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742903, GIOU: 0.731237), Class: 0.999393, Obj: 0.588264, No Obj: 0.000228, .5R: 0.888889, .75R: 0.555556, count: 9, class_loss = 0.106641, iou_loss = 0.089079, total_loss = 0.195720 \n", + " total_bbox = 1093853, rewritten_bbox = 2.670012 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802624, GIOU: 0.793528), Class: 0.999699, Obj: 0.872053, No Obj: 0.003305, .5R: 1.000000, .75R: 0.857143, count: 35, class_loss = 0.190627, iou_loss = 0.152068, total_loss = 0.342695 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751077, GIOU: 0.741522), Class: 0.998839, Obj: 0.515790, No Obj: 0.000339, .5R: 1.000000, .75R: 0.631579, count: 19, class_loss = 0.252774, iou_loss = 0.135355, total_loss = 0.388130 \n", + " total_bbox = 1093907, rewritten_bbox = 2.669971 % \n", + "\n", + " 9856: 0.379068, 0.459550 avg loss, 0.000010 rate, 0.337640 seconds, 630784 images, 0.145480 hours left\n", + "Loaded: 1.814087 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778864, GIOU: 0.768997), Class: 0.999708, Obj: 0.737428, No Obj: 0.003008, .5R: 1.000000, .75R: 0.685714, count: 35, class_loss = 0.315778, iou_loss = 0.234477, total_loss = 0.550256 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797201, GIOU: 0.788560), Class: 0.998858, Obj: 0.654329, No Obj: 0.000688, .5R: 0.961538, .75R: 0.692308, count: 26, class_loss = 0.327167, iou_loss = 0.105650, total_loss = 0.432818 \n", + " total_bbox = 1093968, rewritten_bbox = 2.670005 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797558, GIOU: 0.792835), Class: 0.999825, Obj: 0.790383, No Obj: 0.002407, .5R: 0.961538, .75R: 0.769231, count: 26, class_loss = 0.218097, iou_loss = 0.110841, total_loss = 0.328938 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776494, GIOU: 0.768369), Class: 0.999499, Obj: 0.651616, No Obj: 0.000705, .5R: 1.000000, .75R: 0.611111, count: 36, class_loss = 0.330583, iou_loss = 0.174527, total_loss = 0.505110 \n", + " total_bbox = 1094030, rewritten_bbox = 2.670037 % \n", + "\n", + " 9857: 0.454280, 0.459023 avg loss, 0.000010 rate, 0.431146 seconds, 630848 images, 0.144877 hours left\n", + "Loaded: 2.134087 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766232, GIOU: 0.755528), Class: 0.999653, Obj: 0.723030, No Obj: 0.003407, .5R: 0.916667, .75R: 0.666667, count: 36, class_loss = 0.347583, iou_loss = 0.185693, total_loss = 0.533276 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741785, GIOU: 0.726877), Class: 0.997414, Obj: 0.562730, No Obj: 0.000294, .5R: 0.928571, .75R: 0.642857, count: 14, class_loss = 0.159902, iou_loss = 0.167993, total_loss = 0.327895 \n", + " total_bbox = 1094080, rewritten_bbox = 2.669914 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784720, GIOU: 0.772796), Class: 0.999576, Obj: 0.687906, No Obj: 0.002990, .5R: 0.972222, .75R: 0.694444, count: 36, class_loss = 0.327724, iou_loss = 0.225679, total_loss = 0.553404 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757778, GIOU: 0.749340), Class: 0.999148, Obj: 0.637410, No Obj: 0.000485, .5R: 1.000000, .75R: 0.461538, count: 26, class_loss = 0.267205, iou_loss = 0.158632, total_loss = 0.425837 \n", + " total_bbox = 1094142, rewritten_bbox = 2.669946 % \n", + "\n", + " 9858: 0.460103, 0.459131 avg loss, 0.000010 rate, 0.385772 seconds, 630912 images, 0.144320 hours left\n", + "Loaded: 1.812496 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779909, GIOU: 0.774117), Class: 0.999729, Obj: 0.679326, No Obj: 0.002325, .5R: 0.923077, .75R: 0.769231, count: 26, class_loss = 0.254349, iou_loss = 0.168377, total_loss = 0.422727 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751715, GIOU: 0.741524), Class: 0.999670, Obj: 0.637305, No Obj: 0.000432, .5R: 1.000000, .75R: 0.578947, count: 19, class_loss = 0.221377, iou_loss = 0.132199, total_loss = 0.353576 \n", + " total_bbox = 1094187, rewritten_bbox = 2.670019 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787113, GIOU: 0.778566), Class: 0.999265, Obj: 0.794814, No Obj: 0.003506, .5R: 1.000000, .75R: 0.700000, count: 40, class_loss = 0.230992, iou_loss = 0.184845, total_loss = 0.415837 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758858, GIOU: 0.748643), Class: 0.994944, Obj: 0.594359, No Obj: 0.000303, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.165900, iou_loss = 0.076385, total_loss = 0.242285 \n", + " total_bbox = 1094238, rewritten_bbox = 2.669894 % \n", + "\n", + " 9859: 0.358606, 0.449079 avg loss, 0.000010 rate, 0.395772 seconds, 630976 images, 0.143870 hours left\n", + "Loaded: 1.589540 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795727, GIOU: 0.788975), Class: 0.999692, Obj: 0.728755, No Obj: 0.003058, .5R: 1.000000, .75R: 0.694444, count: 36, class_loss = 0.286900, iou_loss = 0.171776, total_loss = 0.458676 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782132, GIOU: 0.775866), Class: 0.999086, Obj: 0.612279, No Obj: 0.000658, .5R: 1.000000, .75R: 0.735294, count: 34, class_loss = 0.415828, iou_loss = 0.178471, total_loss = 0.594299 \n", + " total_bbox = 1094308, rewritten_bbox = 2.670181 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789435, GIOU: 0.782501), Class: 0.999607, Obj: 0.778315, No Obj: 0.003243, .5R: 1.000000, .75R: 0.694444, count: 36, class_loss = 0.227001, iou_loss = 0.160186, total_loss = 0.387188 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771497, GIOU: 0.762513), Class: 0.985121, Obj: 0.550883, No Obj: 0.000330, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.216962, iou_loss = 0.094434, total_loss = 0.311396 \n", + " total_bbox = 1094358, rewritten_bbox = 2.670059 % \n", + "\n", + " 9860: 0.437890, 0.447960 avg loss, 0.000010 rate, 0.337375 seconds, 631040 images, 0.143301 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 512 x 512 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000043 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769828, GIOU: 0.756973), Class: 0.999346, Obj: 0.696849, No Obj: 0.002838, .5R: 0.977778, .75R: 0.666667, count: 45, class_loss = 0.454696, iou_loss = 0.385529, total_loss = 0.840225 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.802599, GIOU: 0.794021), Class: 0.998512, Obj: 0.303549, No Obj: 0.000044, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.076316, iou_loss = 0.020083, total_loss = 0.096399 \n", + " total_bbox = 1094407, rewritten_bbox = 2.670122 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804801, GIOU: 0.796315), Class: 0.999544, Obj: 0.711261, No Obj: 0.002741, .5R: 1.000000, .75R: 0.727273, count: 44, class_loss = 0.355533, iou_loss = 0.291754, total_loss = 0.647287 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766742, GIOU: 0.754521), Class: 0.998447, Obj: 0.590538, No Obj: 0.000177, .5R: 0.916667, .75R: 0.666667, count: 12, class_loss = 0.139213, iou_loss = 0.080557, total_loss = 0.219770 \n", + " total_bbox = 1094463, rewritten_bbox = 2.670259 % \n", + "\n", + " 9861: 0.450921, 0.448256 avg loss, 0.000010 rate, 0.563662 seconds, 631104 images, 0.142617 hours left\n", + "Loaded: 2.693436 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813009, GIOU: 0.806533), Class: 0.999535, Obj: 0.763343, No Obj: 0.002593, .5R: 1.000000, .75R: 0.775000, count: 40, class_loss = 0.255922, iou_loss = 0.174194, total_loss = 0.430116 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733093, GIOU: 0.722765), Class: 0.996897, Obj: 0.362124, No Obj: 0.000086, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.148206, iou_loss = 0.076258, total_loss = 0.224464 \n", + " total_bbox = 1094509, rewritten_bbox = 2.670238 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789067, GIOU: 0.782081), Class: 0.999282, Obj: 0.691354, No Obj: 0.002553, .5R: 1.000000, .75R: 0.717391, count: 46, class_loss = 0.408712, iou_loss = 0.264294, total_loss = 0.673006 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788750, GIOU: 0.783384), Class: 0.999032, Obj: 0.487253, No Obj: 0.000104, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.116688, iou_loss = 0.026754, total_loss = 0.143443 \n", + " total_bbox = 1094560, rewritten_bbox = 2.670297 % \n", + "\n", + " 9862: 0.367757, 0.440206 avg loss, 0.000010 rate, 0.632548 seconds, 631168 images, 0.141409 hours left\n", + "Loaded: 1.795873 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784971, GIOU: 0.778971), Class: 0.999360, Obj: 0.539559, No Obj: 0.002507, .5R: 0.980392, .75R: 0.705882, count: 51, class_loss = 0.787613, iou_loss = 0.277912, total_loss = 1.065524 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784208, GIOU: 0.777139), Class: 0.999582, Obj: 0.577821, No Obj: 0.000161, .5R: 1.000000, .75R: 0.777778, count: 9, class_loss = 0.130684, iou_loss = 0.033990, total_loss = 0.164674 \n", + " total_bbox = 1094620, rewritten_bbox = 2.670333 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808252, GIOU: 0.802791), Class: 0.999566, Obj: 0.786940, No Obj: 0.002561, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.262822, iou_loss = 0.156968, total_loss = 0.419790 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779822, GIOU: 0.772286), Class: 0.997395, Obj: 0.694506, No Obj: 0.000210, .5R: 1.000000, .75R: 0.764706, count: 17, class_loss = 0.124670, iou_loss = 0.087895, total_loss = 0.212566 \n", + " total_bbox = 1094679, rewritten_bbox = 2.670280 % \n", + "\n", + " 9863: 0.465638, 0.442749 avg loss, 0.000010 rate, 0.550987 seconds, 631232 images, 0.141270 hours left\n", + "Loaded: 1.682015 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786113, GIOU: 0.778950), Class: 0.999524, Obj: 0.661844, No Obj: 0.002108, .5R: 1.000000, .75R: 0.650000, count: 40, class_loss = 0.426399, iou_loss = 0.238202, total_loss = 0.664601 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774226, GIOU: 0.766422), Class: 0.998749, Obj: 0.579014, No Obj: 0.000225, .5R: 0.928571, .75R: 0.642857, count: 14, class_loss = 0.175363, iou_loss = 0.107832, total_loss = 0.283194 \n", + " total_bbox = 1094733, rewritten_bbox = 2.670423 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765299, GIOU: 0.755564), Class: 0.999566, Obj: 0.665986, No Obj: 0.002397, .5R: 0.977778, .75R: 0.622222, count: 45, class_loss = 0.435961, iou_loss = 0.331265, total_loss = 0.767226 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760056, GIOU: 0.752166), Class: 0.998498, Obj: 0.579156, No Obj: 0.000247, .5R: 1.000000, .75R: 0.473684, count: 19, class_loss = 0.216821, iou_loss = 0.092697, total_loss = 0.309518 \n", + " total_bbox = 1094797, rewritten_bbox = 2.670723 % \n", + "\n", + " 9864: 0.506135, 0.449088 avg loss, 0.000010 rate, 0.634092 seconds, 631296 images, 0.140750 hours left\n", + "Loaded: 1.686170 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791322, GIOU: 0.785650), Class: 0.999366, Obj: 0.680214, No Obj: 0.002758, .5R: 0.978261, .75R: 0.739130, count: 46, class_loss = 0.434426, iou_loss = 0.271080, total_loss = 0.705505 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753193, GIOU: 0.743771), Class: 0.994817, Obj: 0.425914, No Obj: 0.000118, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.213379, iou_loss = 0.081141, total_loss = 0.294520 \n", + " total_bbox = 1094852, rewritten_bbox = 2.670681 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793389, GIOU: 0.786985), Class: 0.999192, Obj: 0.682685, No Obj: 0.002594, .5R: 0.951219, .75R: 0.804878, count: 41, class_loss = 0.307908, iou_loss = 0.231179, total_loss = 0.539087 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.723031, GIOU: 0.694174), Class: 0.999031, Obj: 0.474751, No Obj: 0.000190, .5R: 0.933333, .75R: 0.533333, count: 15, class_loss = 0.282398, iou_loss = 0.216289, total_loss = 0.498687 \n", + " total_bbox = 1094908, rewritten_bbox = 2.670635 % \n", + "\n", + " 9865: 0.509450, 0.455124 avg loss, 0.000010 rate, 0.646218 seconds, 631360 images, 0.140221 hours left\n", + "Loaded: 1.541142 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797261, GIOU: 0.788278), Class: 0.999366, Obj: 0.688641, No Obj: 0.002570, .5R: 0.975610, .75R: 0.731707, count: 41, class_loss = 0.381764, iou_loss = 0.284319, total_loss = 0.666083 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.812804, GIOU: 0.805668), Class: 0.999185, Obj: 0.554356, No Obj: 0.000161, .5R: 1.000000, .75R: 0.800000, count: 15, class_loss = 0.164918, iou_loss = 0.079319, total_loss = 0.244237 \n", + " total_bbox = 1094964, rewritten_bbox = 2.670590 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781205, GIOU: 0.771885), Class: 0.999041, Obj: 0.717712, No Obj: 0.002887, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.342986, iou_loss = 0.245897, total_loss = 0.588883 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783730, GIOU: 0.773173), Class: 0.999094, Obj: 0.473382, No Obj: 0.000156, .5R: 1.000000, .75R: 0.714286, count: 14, class_loss = 0.190461, iou_loss = 0.078072, total_loss = 0.268533 \n", + " total_bbox = 1095024, rewritten_bbox = 2.670444 % \n", + "\n", + " 9866: 0.441934, 0.453805 avg loss, 0.000010 rate, 0.640475 seconds, 631424 images, 0.139693 hours left\n", + "Loaded: 1.447952 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785059, GIOU: 0.775018), Class: 0.999591, Obj: 0.674688, No Obj: 0.002406, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.368927, iou_loss = 0.227855, total_loss = 0.596781 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.663765, GIOU: 0.639728), Class: 0.986121, Obj: 0.509370, No Obj: 0.000146, .5R: 0.900000, .75R: 0.400000, count: 10, class_loss = 0.164965, iou_loss = 0.103560, total_loss = 0.268525 \n", + " total_bbox = 1095076, rewritten_bbox = 2.670317 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790876, GIOU: 0.783998), Class: 0.998588, Obj: 0.653618, No Obj: 0.002690, .5R: 0.978261, .75R: 0.673913, count: 46, class_loss = 0.494915, iou_loss = 0.302582, total_loss = 0.797497 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785696, GIOU: 0.773561), Class: 0.998439, Obj: 0.634950, No Obj: 0.000171, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.163519, iou_loss = 0.070960, total_loss = 0.234479 \n", + " total_bbox = 1095135, rewritten_bbox = 2.670264 % \n", + "\n", + " 9867: 0.474321, 0.455857 avg loss, 0.000010 rate, 0.585208 seconds, 631488 images, 0.139108 hours left\n", + "Loaded: 1.507314 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809079, GIOU: 0.803951), Class: 0.999554, Obj: 0.747004, No Obj: 0.002844, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.356305, iou_loss = 0.212437, total_loss = 0.568742 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.778525, GIOU: 0.772732), Class: 0.998906, Obj: 0.511821, No Obj: 0.000220, .5R: 1.000000, .75R: 0.684211, count: 19, class_loss = 0.264097, iou_loss = 0.123372, total_loss = 0.387469 \n", + " total_bbox = 1095196, rewritten_bbox = 2.670207 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790713, GIOU: 0.784007), Class: 0.999096, Obj: 0.671339, No Obj: 0.002797, .5R: 1.000000, .75R: 0.720000, count: 50, class_loss = 0.475653, iou_loss = 0.276301, total_loss = 0.751954 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.804698, GIOU: 0.800803), Class: 0.999328, Obj: 0.599090, No Obj: 0.000141, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.085958, iou_loss = 0.038977, total_loss = 0.124935 \n", + " total_bbox = 1095254, rewritten_bbox = 2.670248 % \n", + "\n", + " 9868: 0.458275, 0.456098 avg loss, 0.000010 rate, 0.554952 seconds, 631552 images, 0.138468 hours left\n", + "Loaded: 1.448391 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765552, GIOU: 0.758512), Class: 0.999266, Obj: 0.768414, No Obj: 0.002984, .5R: 0.976744, .75R: 0.651163, count: 43, class_loss = 0.452572, iou_loss = 0.283846, total_loss = 0.736418 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771875, GIOU: 0.765644), Class: 0.997457, Obj: 0.636970, No Obj: 0.000201, .5R: 1.000000, .75R: 0.588235, count: 17, class_loss = 0.142315, iou_loss = 0.096131, total_loss = 0.238446 \n", + " total_bbox = 1095314, rewritten_bbox = 2.670193 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785951, GIOU: 0.777736), Class: 0.999711, Obj: 0.717109, No Obj: 0.002427, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.333164, iou_loss = 0.206277, total_loss = 0.539441 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.789704, GIOU: 0.784155), Class: 0.999579, Obj: 0.642937, No Obj: 0.000149, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.076006, iou_loss = 0.046339, total_loss = 0.122345 \n", + " total_bbox = 1095363, rewritten_bbox = 2.670074 % \n", + "\n", + " 9869: 0.409162, 0.451405 avg loss, 0.000010 rate, 0.597068 seconds, 631616 images, 0.137841 hours left\n", + "Loaded: 1.678032 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.839206, GIOU: 0.836258), Class: 0.999589, Obj: 0.808666, No Obj: 0.003271, .5R: 1.000000, .75R: 0.869565, count: 46, class_loss = 0.273653, iou_loss = 0.127849, total_loss = 0.401502 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801933, GIOU: 0.795909), Class: 0.999852, Obj: 0.441515, No Obj: 0.000090, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.100503, iou_loss = 0.034628, total_loss = 0.135131 \n", + " total_bbox = 1095415, rewritten_bbox = 2.670038 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806550, GIOU: 0.800164), Class: 0.999737, Obj: 0.746711, No Obj: 0.002413, .5R: 1.000000, .75R: 0.743590, count: 39, class_loss = 0.217332, iou_loss = 0.166176, total_loss = 0.383508 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781411, GIOU: 0.774010), Class: 0.999894, Obj: 0.745975, No Obj: 0.000227, .5R: 1.000000, .75R: 0.500000, count: 14, class_loss = 0.126756, iou_loss = 0.083123, total_loss = 0.209879 \n", + " total_bbox = 1095468, rewritten_bbox = 2.669909 % \n", + "\n", + " 9870: 0.282505, 0.434515 avg loss, 0.000010 rate, 0.572451 seconds, 631680 images, 0.137207 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 416 x 416 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.880970 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794722, GIOU: 0.787541), Class: 0.999747, Obj: 0.831255, No Obj: 0.003703, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.289488, iou_loss = 0.189842, total_loss = 0.479330 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762092, GIOU: 0.749026), Class: 0.998939, Obj: 0.658617, No Obj: 0.000510, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.170100, iou_loss = 0.135983, total_loss = 0.306083 \n", + " total_bbox = 1095531, rewritten_bbox = 2.669938 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.748230, GIOU: 0.739260), Class: 0.999606, Obj: 0.671270, No Obj: 0.002975, .5R: 0.921053, .75R: 0.605263, count: 38, class_loss = 0.369067, iou_loss = 0.288851, total_loss = 0.657918 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.798916, GIOU: 0.790395), Class: 0.998712, Obj: 0.656510, No Obj: 0.000329, .5R: 1.000000, .75R: 0.800000, count: 15, class_loss = 0.156010, iou_loss = 0.083955, total_loss = 0.239964 \n", + " total_bbox = 1095584, rewritten_bbox = 2.669900 % \n", + "\n", + " 9871: 0.420824, 0.433146 avg loss, 0.000010 rate, 0.388661 seconds, 631744 images, 0.136648 hours left\n", + "Loaded: 1.640213 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774454, GIOU: 0.765874), Class: 0.999599, Obj: 0.699231, No Obj: 0.002937, .5R: 0.972222, .75R: 0.611111, count: 36, class_loss = 0.305164, iou_loss = 0.217789, total_loss = 0.522953 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765031, GIOU: 0.754033), Class: 0.999239, Obj: 0.572663, No Obj: 0.000481, .5R: 1.000000, .75R: 0.565217, count: 23, class_loss = 0.263473, iou_loss = 0.125952, total_loss = 0.389425 \n", + " total_bbox = 1095643, rewritten_bbox = 2.669848 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792623, GIOU: 0.784038), Class: 0.999055, Obj: 0.716068, No Obj: 0.002355, .5R: 0.965517, .75R: 0.724138, count: 29, class_loss = 0.215826, iou_loss = 0.153345, total_loss = 0.369171 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753645, GIOU: 0.732989), Class: 0.994955, Obj: 0.540681, No Obj: 0.000518, .5R: 0.896552, .75R: 0.689655, count: 29, class_loss = 0.443007, iou_loss = 0.239705, total_loss = 0.682712 \n", + " total_bbox = 1095701, rewritten_bbox = 2.669980 % \n", + "\n", + " 9872: 0.491065, 0.438938 avg loss, 0.000010 rate, 0.379411 seconds, 631808 images, 0.136095 hours left\n", + "Loaded: 1.832765 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803622, GIOU: 0.796287), Class: 0.999557, Obj: 0.713463, No Obj: 0.002595, .5R: 1.000000, .75R: 0.700000, count: 30, class_loss = 0.281093, iou_loss = 0.149995, total_loss = 0.431087 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800984, GIOU: 0.796345), Class: 0.999381, Obj: 0.608347, No Obj: 0.000407, .5R: 1.000000, .75R: 0.789474, count: 19, class_loss = 0.231558, iou_loss = 0.073477, total_loss = 0.305035 \n", + " total_bbox = 1095750, rewritten_bbox = 2.669952 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801244, GIOU: 0.793392), Class: 0.999550, Obj: 0.786424, No Obj: 0.003559, .5R: 1.000000, .75R: 0.702703, count: 37, class_loss = 0.293800, iou_loss = 0.169322, total_loss = 0.463122 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767206, GIOU: 0.758726), Class: 0.998378, Obj: 0.621864, No Obj: 0.000431, .5R: 1.000000, .75R: 0.478261, count: 23, class_loss = 0.284295, iou_loss = 0.159829, total_loss = 0.444125 \n", + " total_bbox = 1095810, rewritten_bbox = 2.670171 % \n", + "\n", + " 9873: 0.410842, 0.436128 avg loss, 0.000010 rate, 0.376872 seconds, 631872 images, 0.135452 hours left\n", + "Loaded: 1.784360 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793477, GIOU: 0.784395), Class: 0.999795, Obj: 0.665225, No Obj: 0.002370, .5R: 1.000000, .75R: 0.730769, count: 26, class_loss = 0.294627, iou_loss = 0.115383, total_loss = 0.410010 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.745940, GIOU: 0.724423), Class: 0.994703, Obj: 0.634501, No Obj: 0.000464, .5R: 0.954545, .75R: 0.772727, count: 22, class_loss = 0.220116, iou_loss = 0.260395, total_loss = 0.480511 \n", + " total_bbox = 1095858, rewritten_bbox = 2.670054 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802724, GIOU: 0.795019), Class: 0.999430, Obj: 0.697382, No Obj: 0.003367, .5R: 1.000000, .75R: 0.823529, count: 34, class_loss = 0.369455, iou_loss = 0.134076, total_loss = 0.503531 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736645, GIOU: 0.713477), Class: 0.998742, Obj: 0.596199, No Obj: 0.000462, .5R: 0.950000, .75R: 0.500000, count: 20, class_loss = 0.247143, iou_loss = 0.177322, total_loss = 0.424464 \n", + " total_bbox = 1095912, rewritten_bbox = 2.669922 % \n", + "\n", + " 9874: 0.454629, 0.437978 avg loss, 0.000010 rate, 0.335779 seconds, 631936 images, 0.134879 hours left\n", + "Loaded: 2.043440 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791452, GIOU: 0.786015), Class: 0.999790, Obj: 0.783099, No Obj: 0.002193, .5R: 0.962963, .75R: 0.703704, count: 27, class_loss = 0.184494, iou_loss = 0.118699, total_loss = 0.303193 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775117, GIOU: 0.766158), Class: 0.999526, Obj: 0.692533, No Obj: 0.000645, .5R: 0.958333, .75R: 0.666667, count: 24, class_loss = 0.268653, iou_loss = 0.145497, total_loss = 0.414150 \n", + " total_bbox = 1095963, rewritten_bbox = 2.669798 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793231, GIOU: 0.788673), Class: 0.999604, Obj: 0.747572, No Obj: 0.002561, .5R: 1.000000, .75R: 0.720000, count: 25, class_loss = 0.248540, iou_loss = 0.103249, total_loss = 0.351788 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769590, GIOU: 0.761609), Class: 0.998500, Obj: 0.591197, No Obj: 0.000466, .5R: 0.961538, .75R: 0.615385, count: 26, class_loss = 0.332036, iou_loss = 0.171017, total_loss = 0.503052 \n", + " total_bbox = 1096014, rewritten_bbox = 2.669948 % \n", + "\n", + " 9875: 0.393046, 0.433485 avg loss, 0.000010 rate, 0.335191 seconds, 632000 images, 0.134273 hours left\n", + "Loaded: 1.779186 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802575, GIOU: 0.796351), Class: 0.999626, Obj: 0.786585, No Obj: 0.003003, .5R: 1.000000, .75R: 0.717949, count: 39, class_loss = 0.222120, iou_loss = 0.163981, total_loss = 0.386101 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734442, GIOU: 0.711972), Class: 0.998987, Obj: 0.533300, No Obj: 0.000369, .5R: 0.857143, .75R: 0.642857, count: 14, class_loss = 0.196222, iou_loss = 0.168288, total_loss = 0.364510 \n", + " total_bbox = 1096067, rewritten_bbox = 2.670001 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794436, GIOU: 0.786688), Class: 0.999612, Obj: 0.782427, No Obj: 0.003016, .5R: 1.000000, .75R: 0.666667, count: 42, class_loss = 0.248297, iou_loss = 0.237803, total_loss = 0.486100 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.810231, GIOU: 0.803394), Class: 0.999308, Obj: 0.651581, No Obj: 0.000469, .5R: 1.000000, .75R: 0.764706, count: 17, class_loss = 0.209954, iou_loss = 0.064489, total_loss = 0.274444 \n", + " total_bbox = 1096126, rewritten_bbox = 2.670313 % \n", + "\n", + " 9876: 0.377789, 0.427915 avg loss, 0.000010 rate, 0.342588 seconds, 632064 images, 0.133756 hours left\n", + "Loaded: 1.732689 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815711, GIOU: 0.807867), Class: 0.999743, Obj: 0.789822, No Obj: 0.002801, .5R: 1.000000, .75R: 0.828571, count: 35, class_loss = 0.184579, iou_loss = 0.204607, total_loss = 0.389186 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750800, GIOU: 0.731691), Class: 0.998682, Obj: 0.490493, No Obj: 0.000314, .5R: 0.933333, .75R: 0.733333, count: 15, class_loss = 0.214530, iou_loss = 0.135327, total_loss = 0.349857 \n", + " total_bbox = 1096176, rewritten_bbox = 2.670283 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774232, GIOU: 0.762865), Class: 0.999742, Obj: 0.815910, No Obj: 0.002725, .5R: 1.000000, .75R: 0.629630, count: 27, class_loss = 0.163016, iou_loss = 0.145900, total_loss = 0.308917 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765976, GIOU: 0.757096), Class: 0.999223, Obj: 0.644615, No Obj: 0.000747, .5R: 1.000000, .75R: 0.615385, count: 39, class_loss = 0.342899, iou_loss = 0.216575, total_loss = 0.559474 \n", + " total_bbox = 1096242, rewritten_bbox = 2.670396 % \n", + "\n", + " 9877: 0.401859, 0.425310 avg loss, 0.000010 rate, 0.311754 seconds, 632128 images, 0.133149 hours left\n", + "Loaded: 1.572825 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770572, GIOU: 0.759252), Class: 0.999687, Obj: 0.696446, No Obj: 0.003356, .5R: 0.976744, .75R: 0.651163, count: 43, class_loss = 0.342026, iou_loss = 0.289243, total_loss = 0.631270 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731406, GIOU: 0.724162), Class: 0.999188, Obj: 0.503343, No Obj: 0.000308, .5R: 1.000000, .75R: 0.357143, count: 14, class_loss = 0.246873, iou_loss = 0.107180, total_loss = 0.354052 \n", + " total_bbox = 1096299, rewritten_bbox = 2.670439 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.822800, GIOU: 0.817863), Class: 0.999797, Obj: 0.796710, No Obj: 0.002542, .5R: 1.000000, .75R: 0.846154, count: 26, class_loss = 0.212439, iou_loss = 0.087671, total_loss = 0.300110 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.757280, GIOU: 0.740407), Class: 0.993242, Obj: 0.600425, No Obj: 0.000439, .5R: 0.956522, .75R: 0.565217, count: 23, class_loss = 0.300374, iou_loss = 0.153610, total_loss = 0.453984 \n", + " total_bbox = 1096348, rewritten_bbox = 2.670320 % \n", + "\n", + " 9878: 0.434854, 0.426264 avg loss, 0.000010 rate, 0.402462 seconds, 632192 images, 0.132516 hours left\n", + "Loaded: 1.766840 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791298, GIOU: 0.784789), Class: 0.999535, Obj: 0.678307, No Obj: 0.003338, .5R: 1.000000, .75R: 0.702703, count: 37, class_loss = 0.450316, iou_loss = 0.232845, total_loss = 0.683161 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793341, GIOU: 0.784572), Class: 0.999418, Obj: 0.666286, No Obj: 0.000477, .5R: 0.954545, .75R: 0.727273, count: 22, class_loss = 0.204008, iou_loss = 0.124549, total_loss = 0.328557 \n", + " total_bbox = 1096407, rewritten_bbox = 2.670359 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790478, GIOU: 0.780518), Class: 0.999460, Obj: 0.717819, No Obj: 0.003595, .5R: 0.976744, .75R: 0.720930, count: 43, class_loss = 0.356473, iou_loss = 0.246625, total_loss = 0.603099 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.776681, GIOU: 0.769364), Class: 0.998560, Obj: 0.590289, No Obj: 0.000329, .5R: 1.000000, .75R: 0.692308, count: 13, class_loss = 0.142016, iou_loss = 0.097232, total_loss = 0.239248 \n", + " total_bbox = 1096463, rewritten_bbox = 2.670314 % \n", + "\n", + " 9879: 0.463516, 0.429989 avg loss, 0.000010 rate, 0.412680 seconds, 632256 images, 0.131861 hours left\n", + "Loaded: 2.022683 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796093, GIOU: 0.788495), Class: 0.999653, Obj: 0.595125, No Obj: 0.002488, .5R: 1.000000, .75R: 0.714286, count: 35, class_loss = 0.414106, iou_loss = 0.138064, total_loss = 0.552170 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746237, GIOU: 0.732124), Class: 0.998498, Obj: 0.630834, No Obj: 0.000532, .5R: 0.956522, .75R: 0.521739, count: 23, class_loss = 0.275572, iou_loss = 0.172979, total_loss = 0.448551 \n", + " total_bbox = 1096521, rewritten_bbox = 2.670264 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769384, GIOU: 0.758857), Class: 0.999629, Obj: 0.628751, No Obj: 0.001928, .5R: 1.000000, .75R: 0.615385, count: 26, class_loss = 0.277396, iou_loss = 0.146451, total_loss = 0.423847 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.732637, GIOU: 0.714357), Class: 0.997320, Obj: 0.523554, No Obj: 0.000266, .5R: 0.875000, .75R: 0.562500, count: 16, class_loss = 0.208021, iou_loss = 0.196032, total_loss = 0.404053 \n", + " total_bbox = 1096563, rewritten_bbox = 2.670161 % \n", + "\n", + " 9880: 0.457155, 0.432706 avg loss, 0.000010 rate, 0.386367 seconds, 632320 images, 0.131274 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 352 x 352 \n", + " try to allocate additional workspace_size = 1264.58 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000085 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.735055, GIOU: 0.721470), Class: 0.999792, Obj: 0.665530, No Obj: 0.002164, .5R: 1.000000, .75R: 0.500000, count: 18, class_loss = 0.191610, iou_loss = 0.152206, total_loss = 0.343815 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774622, GIOU: 0.764839), Class: 0.999542, Obj: 0.570407, No Obj: 0.000673, .5R: 1.000000, .75R: 0.640000, count: 25, class_loss = 0.327734, iou_loss = 0.132311, total_loss = 0.460046 \n", + " total_bbox = 1096606, rewritten_bbox = 2.670148 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775239, GIOU: 0.766616), Class: 0.999423, Obj: 0.576765, No Obj: 0.003204, .5R: 1.000000, .75R: 0.666667, count: 33, class_loss = 0.394440, iou_loss = 0.184240, total_loss = 0.578680 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.690981, GIOU: 0.677106), Class: 0.997117, Obj: 0.550903, No Obj: 0.000859, .5R: 0.864865, .75R: 0.378378, count: 37, class_loss = 0.468979, iou_loss = 0.405384, total_loss = 0.874363 \n", + " total_bbox = 1096676, rewritten_bbox = 2.670342 % \n", + "\n", + " 9881: 0.564226, 0.445858 avg loss, 0.000010 rate, 0.284910 seconds, 632384 images, 0.130765 hours left\n", + "Loaded: 2.120332 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790299, GIOU: 0.785023), Class: 0.999783, Obj: 0.720660, No Obj: 0.003497, .5R: 1.000000, .75R: 0.718750, count: 32, class_loss = 0.224013, iou_loss = 0.144672, total_loss = 0.368685 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762220, GIOU: 0.755088), Class: 0.998587, Obj: 0.642212, No Obj: 0.000710, .5R: 0.958333, .75R: 0.666667, count: 24, class_loss = 0.240102, iou_loss = 0.173605, total_loss = 0.413707 \n", + " total_bbox = 1096732, rewritten_bbox = 2.670479 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789144, GIOU: 0.782961), Class: 0.999658, Obj: 0.660221, No Obj: 0.002469, .5R: 1.000000, .75R: 0.708333, count: 24, class_loss = 0.230753, iou_loss = 0.110747, total_loss = 0.341500 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741103, GIOU: 0.729655), Class: 0.999194, Obj: 0.477265, No Obj: 0.000641, .5R: 0.960000, .75R: 0.520000, count: 25, class_loss = 0.447158, iou_loss = 0.196565, total_loss = 0.643723 \n", + " total_bbox = 1096781, rewritten_bbox = 2.670451 % \n", + "\n", + " 9882: 0.441904, 0.445463 avg loss, 0.000010 rate, 0.309490 seconds, 632448 images, 0.129551 hours left\n", + "Loaded: 1.843355 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762263, GIOU: 0.753154), Class: 0.999571, Obj: 0.660419, No Obj: 0.003040, .5R: 1.000000, .75R: 0.500000, count: 28, class_loss = 0.270819, iou_loss = 0.189362, total_loss = 0.460181 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731999, GIOU: 0.710355), Class: 0.996674, Obj: 0.571682, No Obj: 0.000663, .5R: 0.884615, .75R: 0.615385, count: 26, class_loss = 0.335642, iou_loss = 0.305404, total_loss = 0.641046 \n", + " total_bbox = 1096835, rewritten_bbox = 2.670320 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792579, GIOU: 0.783351), Class: 0.999323, Obj: 0.561675, No Obj: 0.003423, .5R: 1.000000, .75R: 0.689655, count: 29, class_loss = 0.435576, iou_loss = 0.144215, total_loss = 0.579790 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733468, GIOU: 0.719600), Class: 0.998694, Obj: 0.658130, No Obj: 0.000586, .5R: 0.928571, .75R: 0.500000, count: 14, class_loss = 0.200491, iou_loss = 0.149770, total_loss = 0.350261 \n", + " total_bbox = 1096878, rewritten_bbox = 2.670215 % \n", + "\n", + " 9883: 0.507820, 0.451698 avg loss, 0.000010 rate, 0.297515 seconds, 632512 images, 0.129052 hours left\n", + "Loaded: 1.757880 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787288, GIOU: 0.780337), Class: 0.999431, Obj: 0.682377, No Obj: 0.002952, .5R: 0.965517, .75R: 0.758621, count: 29, class_loss = 0.244704, iou_loss = 0.122672, total_loss = 0.367376 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751270, GIOU: 0.741577), Class: 0.999423, Obj: 0.534201, No Obj: 0.000632, .5R: 1.000000, .75R: 0.600000, count: 20, class_loss = 0.308268, iou_loss = 0.130401, total_loss = 0.438669 \n", + " total_bbox = 1096927, rewritten_bbox = 2.670096 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800041, GIOU: 0.792801), Class: 0.999760, Obj: 0.733748, No Obj: 0.004194, .5R: 1.000000, .75R: 0.764706, count: 34, class_loss = 0.243454, iou_loss = 0.150154, total_loss = 0.393607 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.710147, GIOU: 0.694146), Class: 0.993367, Obj: 0.459780, No Obj: 0.000552, .5R: 0.900000, .75R: 0.550000, count: 20, class_loss = 0.343109, iou_loss = 0.307089, total_loss = 0.650198 \n", + " total_bbox = 1096981, rewritten_bbox = 2.669964 % \n", + "\n", + " 9884: 0.462463, 0.452775 avg loss, 0.000010 rate, 0.262791 seconds, 632576 images, 0.128459 hours left\n", + "Loaded: 1.503648 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771674, GIOU: 0.765225), Class: 0.999792, Obj: 0.768041, No Obj: 0.002844, .5R: 1.000000, .75R: 0.636364, count: 22, class_loss = 0.170635, iou_loss = 0.111814, total_loss = 0.282449 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777946, GIOU: 0.770150), Class: 0.999027, Obj: 0.612013, No Obj: 0.000776, .5R: 1.000000, .75R: 0.677419, count: 31, class_loss = 0.279016, iou_loss = 0.150270, total_loss = 0.429287 \n", + " total_bbox = 1097034, rewritten_bbox = 2.669835 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807636, GIOU: 0.801110), Class: 0.999832, Obj: 0.674113, No Obj: 0.002447, .5R: 1.000000, .75R: 0.777778, count: 18, class_loss = 0.176626, iou_loss = 0.067944, total_loss = 0.244571 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.755236, GIOU: 0.745085), Class: 0.998885, Obj: 0.559137, No Obj: 0.001019, .5R: 1.000000, .75R: 0.536585, count: 41, class_loss = 0.477329, iou_loss = 0.247099, total_loss = 0.724428 \n", + " total_bbox = 1097093, rewritten_bbox = 2.669783 % \n", + "\n", + " 9885: 0.420184, 0.449516 avg loss, 0.000010 rate, 0.264571 seconds, 632640 images, 0.127825 hours left\n", + "Loaded: 2.144333 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784841, GIOU: 0.777322), Class: 0.999691, Obj: 0.729645, No Obj: 0.002957, .5R: 1.000000, .75R: 0.608696, count: 23, class_loss = 0.230906, iou_loss = 0.132067, total_loss = 0.362973 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.724599, GIOU: 0.713031), Class: 0.998388, Obj: 0.541373, No Obj: 0.000535, .5R: 1.000000, .75R: 0.500000, count: 20, class_loss = 0.270989, iou_loss = 0.149456, total_loss = 0.420444 \n", + " total_bbox = 1097136, rewritten_bbox = 2.669769 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769853, GIOU: 0.761359), Class: 0.999814, Obj: 0.653046, No Obj: 0.002367, .5R: 1.000000, .75R: 0.666667, count: 24, class_loss = 0.235851, iou_loss = 0.152475, total_loss = 0.388327 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754074, GIOU: 0.741687), Class: 0.998043, Obj: 0.551229, No Obj: 0.000892, .5R: 0.972222, .75R: 0.583333, count: 36, class_loss = 0.444635, iou_loss = 0.240160, total_loss = 0.684795 \n", + " total_bbox = 1097196, rewritten_bbox = 2.669988 % \n", + "\n", + " 9886: 0.464135, 0.450978 avg loss, 0.000010 rate, 0.264006 seconds, 632704 images, 0.127112 hours left\n", + "Loaded: 1.695837 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766552, GIOU: 0.756273), Class: 0.999769, Obj: 0.697221, No Obj: 0.002444, .5R: 1.000000, .75R: 0.695652, count: 23, class_loss = 0.168158, iou_loss = 0.143752, total_loss = 0.311910 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783438, GIOU: 0.776034), Class: 0.999407, Obj: 0.634405, No Obj: 0.000495, .5R: 1.000000, .75R: 0.823529, count: 17, class_loss = 0.149080, iou_loss = 0.082943, total_loss = 0.232023 \n", + " total_bbox = 1097236, rewritten_bbox = 2.669891 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755531, GIOU: 0.746637), Class: 0.999835, Obj: 0.717976, No Obj: 0.002666, .5R: 1.000000, .75R: 0.481481, count: 27, class_loss = 0.251880, iou_loss = 0.207390, total_loss = 0.459270 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735946, GIOU: 0.721658), Class: 0.998819, Obj: 0.705967, No Obj: 0.000840, .5R: 1.000000, .75R: 0.516129, count: 31, class_loss = 0.293614, iou_loss = 0.228078, total_loss = 0.521693 \n", + " total_bbox = 1097294, rewritten_bbox = 2.670205 % \n", + "\n", + " 9887: 0.381224, 0.444002 avg loss, 0.000010 rate, 0.250872 seconds, 632768 images, 0.126603 hours left\n", + "Loaded: 1.630549 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770613, GIOU: 0.761864), Class: 0.999683, Obj: 0.658750, No Obj: 0.003787, .5R: 1.000000, .75R: 0.656250, count: 32, class_loss = 0.292548, iou_loss = 0.167419, total_loss = 0.459967 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771039, GIOU: 0.763794), Class: 0.997868, Obj: 0.487660, No Obj: 0.000803, .5R: 0.967742, .75R: 0.645161, count: 31, class_loss = 0.430064, iou_loss = 0.195900, total_loss = 0.625965 \n", + " total_bbox = 1097357, rewritten_bbox = 2.670143 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.743129, GIOU: 0.732653), Class: 0.999780, Obj: 0.631730, No Obj: 0.002178, .5R: 0.950000, .75R: 0.550000, count: 20, class_loss = 0.202969, iou_loss = 0.156978, total_loss = 0.359947 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748065, GIOU: 0.730584), Class: 0.994089, Obj: 0.498417, No Obj: 0.000675, .5R: 0.965517, .75R: 0.655172, count: 29, class_loss = 0.426328, iou_loss = 0.186066, total_loss = 0.612394 \n", + " total_bbox = 1097406, rewritten_bbox = 2.670024 % \n", + "\n", + " 9888: 0.514568, 0.451059 avg loss, 0.000010 rate, 0.246884 seconds, 632832 images, 0.125948 hours left\n", + "Loaded: 1.883394 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790758, GIOU: 0.785619), Class: 0.999530, Obj: 0.673152, No Obj: 0.003366, .5R: 1.000000, .75R: 0.806452, count: 31, class_loss = 0.301909, iou_loss = 0.132624, total_loss = 0.434533 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.752306, GIOU: 0.742813), Class: 0.998695, Obj: 0.562225, No Obj: 0.000459, .5R: 1.000000, .75R: 0.538462, count: 13, class_loss = 0.233753, iou_loss = 0.128759, total_loss = 0.362512 \n", + " total_bbox = 1097450, rewritten_bbox = 2.670008 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805239, GIOU: 0.800451), Class: 0.999522, Obj: 0.752571, No Obj: 0.003101, .5R: 1.000000, .75R: 0.766667, count: 30, class_loss = 0.178541, iou_loss = 0.112842, total_loss = 0.291383 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.738015, GIOU: 0.729757), Class: 0.997641, Obj: 0.514513, No Obj: 0.000847, .5R: 1.000000, .75R: 0.437500, count: 32, class_loss = 0.477925, iou_loss = 0.249033, total_loss = 0.726959 \n", + " total_bbox = 1097512, rewritten_bbox = 2.670039 % \n", + "\n", + " 9889: 0.453847, 0.451338 avg loss, 0.000010 rate, 0.293389 seconds, 632896 images, 0.125273 hours left\n", + "Loaded: 1.783161 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.818931, GIOU: 0.812808), Class: 0.999781, Obj: 0.776738, No Obj: 0.002164, .5R: 1.000000, .75R: 0.894737, count: 19, class_loss = 0.120221, iou_loss = 0.055794, total_loss = 0.176015 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774295, GIOU: 0.767561), Class: 0.995730, Obj: 0.601688, No Obj: 0.000710, .5R: 1.000000, .75R: 0.714286, count: 28, class_loss = 0.286956, iou_loss = 0.147876, total_loss = 0.434832 \n", + " total_bbox = 1097559, rewritten_bbox = 2.669925 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763223, GIOU: 0.755292), Class: 0.999640, Obj: 0.766749, No Obj: 0.002160, .5R: 0.937500, .75R: 0.625000, count: 16, class_loss = 0.106260, iou_loss = 0.070963, total_loss = 0.177223 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.705959, GIOU: 0.686493), Class: 0.996509, Obj: 0.565701, No Obj: 0.000937, .5R: 0.918919, .75R: 0.459459, count: 37, class_loss = 0.577749, iou_loss = 0.358439, total_loss = 0.936189 \n", + " total_bbox = 1097612, rewritten_bbox = 2.669978 % \n", + "\n", + " 9890: 0.431065, 0.449310 avg loss, 0.000010 rate, 0.240264 seconds, 632960 images, 0.124691 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 576 x 576 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000058 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794701, GIOU: 0.788996), Class: 0.999527, Obj: 0.730212, No Obj: 0.002257, .5R: 1.000000, .75R: 0.653061, count: 49, class_loss = 0.396377, iou_loss = 0.260906, total_loss = 0.657283 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807863, GIOU: 0.804353), Class: 0.999461, Obj: 0.521990, No Obj: 0.000052, .5R: 1.000000, .75R: 1.000000, count: 2, class_loss = 0.066999, iou_loss = 0.014343, total_loss = 0.081342 \n", + " total_bbox = 1097663, rewritten_bbox = 2.669945 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767807, GIOU: 0.760044), Class: 0.999403, Obj: 0.548269, No Obj: 0.001782, .5R: 0.975610, .75R: 0.658537, count: 41, class_loss = 0.582093, iou_loss = 0.279880, total_loss = 0.861972 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761569, GIOU: 0.751752), Class: 0.999564, Obj: 0.516697, No Obj: 0.000103, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.139211, iou_loss = 0.093925, total_loss = 0.233135 \n", + " total_bbox = 1097715, rewritten_bbox = 2.670092 % \n", + "\n", + " 9891: 0.458433, 0.450223 avg loss, 0.000010 rate, 0.764364 seconds, 633024 images, 0.124063 hours left\n", + "Loaded: 1.555113 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.805409, GIOU: 0.800337), Class: 0.999278, Obj: 0.633966, No Obj: 0.002337, .5R: 1.000000, .75R: 0.800000, count: 50, class_loss = 0.541098, iou_loss = 0.287861, total_loss = 0.828958 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.826689, GIOU: 0.821968), Class: 0.997411, Obj: 0.480570, No Obj: 0.000040, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.053648, iou_loss = 0.009586, total_loss = 0.063234 \n", + " total_bbox = 1097768, rewritten_bbox = 2.670054 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773958, GIOU: 0.767585), Class: 0.999090, Obj: 0.671072, No Obj: 0.002210, .5R: 0.977273, .75R: 0.704545, count: 44, class_loss = 0.430742, iou_loss = 0.248330, total_loss = 0.679072 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.730071, GIOU: 0.718370), Class: 0.999116, Obj: 0.411326, No Obj: 0.000119, .5R: 1.000000, .75R: 0.250000, count: 8, class_loss = 0.148836, iou_loss = 0.061327, total_loss = 0.210164 \n", + " total_bbox = 1097820, rewritten_bbox = 2.669928 % \n", + "\n", + " 9892: 0.445357, 0.449736 avg loss, 0.000010 rate, 0.956489 seconds, 633088 images, 0.123054 hours left\n", + "Loaded: 1.403176 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760666, GIOU: 0.750523), Class: 0.998833, Obj: 0.441647, No Obj: 0.001984, .5R: 0.979592, .75R: 0.571429, count: 49, class_loss = 0.902110, iou_loss = 0.472222, total_loss = 1.374332 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760960, GIOU: 0.754659), Class: 0.998932, Obj: 0.590697, No Obj: 0.000135, .5R: 0.923077, .75R: 0.846154, count: 13, class_loss = 0.138247, iou_loss = 0.144514, total_loss = 0.282762 \n", + " total_bbox = 1097882, rewritten_bbox = 2.669959 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782664, GIOU: 0.774252), Class: 0.999449, Obj: 0.670521, No Obj: 0.002105, .5R: 1.000000, .75R: 0.702128, count: 47, class_loss = 0.493518, iou_loss = 0.239692, total_loss = 0.733210 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758355, GIOU: 0.747101), Class: 0.999534, Obj: 0.644354, No Obj: 0.000114, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.136536, iou_loss = 0.049954, total_loss = 0.186489 \n", + " total_bbox = 1097935, rewritten_bbox = 2.670103 % \n", + "\n", + " 9893: 0.644198, 0.469182 avg loss, 0.000010 rate, 0.837037 seconds, 633152 images, 0.122576 hours left\n", + "Loaded: 2.007157 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798071, GIOU: 0.790854), Class: 0.998693, Obj: 0.644935, No Obj: 0.001910, .5R: 1.000000, .75R: 0.658537, count: 41, class_loss = 0.390104, iou_loss = 0.273998, total_loss = 0.664102 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.825893, GIOU: 0.823093), Class: 0.999897, Obj: 0.641092, No Obj: 0.000078, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.070498, iou_loss = 0.022798, total_loss = 0.093297 \n", + " total_bbox = 1097982, rewritten_bbox = 2.670171 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.826628, GIOU: 0.822534), Class: 0.999095, Obj: 0.663161, No Obj: 0.001916, .5R: 1.000000, .75R: 0.871795, count: 39, class_loss = 0.384351, iou_loss = 0.178048, total_loss = 0.562399 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.707516, GIOU: 0.675219), Class: 0.997995, Obj: 0.182583, No Obj: 0.000056, .5R: 0.875000, .75R: 0.625000, count: 8, class_loss = 0.219318, iou_loss = 0.104446, total_loss = 0.323763 \n", + " total_bbox = 1098029, rewritten_bbox = 2.670239 % \n", + "\n", + " 9894: 0.410890, 0.463353 avg loss, 0.000010 rate, 0.751972 seconds, 633216 images, 0.122017 hours left\n", + "Loaded: 1.774153 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782085, GIOU: 0.775680), Class: 0.999731, Obj: 0.735444, No Obj: 0.002106, .5R: 1.000000, .75R: 0.666667, count: 48, class_loss = 0.419212, iou_loss = 0.255605, total_loss = 0.674817 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775471, GIOU: 0.769775), Class: 0.999083, Obj: 0.534471, No Obj: 0.000093, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.154899, iou_loss = 0.060492, total_loss = 0.215391 \n", + " total_bbox = 1098085, rewritten_bbox = 2.670376 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809767, GIOU: 0.805890), Class: 0.999525, Obj: 0.687436, No Obj: 0.002722, .5R: 1.000000, .75R: 0.792453, count: 53, class_loss = 0.439722, iou_loss = 0.235958, total_loss = 0.675680 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.712304, GIOU: 0.705240), Class: 0.992361, Obj: 0.542977, No Obj: 0.000118, .5R: 0.888889, .75R: 0.444444, count: 9, class_loss = 0.149669, iou_loss = 0.091539, total_loss = 0.241208 \n", + " total_bbox = 1098147, rewritten_bbox = 2.670225 % \n", + "\n", + " 9895: 0.451774, 0.462195 avg loss, 0.000010 rate, 0.763564 seconds, 633280 images, 0.121609 hours left\n", + "Loaded: 1.635251 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775858, GIOU: 0.766908), Class: 0.999647, Obj: 0.712294, No Obj: 0.002183, .5R: 1.000000, .75R: 0.651163, count: 43, class_loss = 0.415606, iou_loss = 0.325151, total_loss = 0.740756 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762066, GIOU: 0.752258), Class: 0.999805, Obj: 0.514880, No Obj: 0.000055, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.087886, iou_loss = 0.042449, total_loss = 0.130334 \n", + " total_bbox = 1098194, rewritten_bbox = 2.670202 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.748742, GIOU: 0.737915), Class: 0.998719, Obj: 0.432252, No Obj: 0.001690, .5R: 0.916667, .75R: 0.555556, count: 36, class_loss = 0.691110, iou_loss = 0.334360, total_loss = 1.025471 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.567490, GIOU: 0.520484), Class: 0.994194, Obj: 0.329245, No Obj: 0.000023, .5R: 0.500000, .75R: 0.500000, count: 4, class_loss = 0.075451, iou_loss = 0.080466, total_loss = 0.155917 \n", + " total_bbox = 1098234, rewritten_bbox = 2.670105 % \n", + "\n", + " 9896: 0.513119, 0.467288 avg loss, 0.000010 rate, 0.878947 seconds, 633344 images, 0.121133 hours left\n", + "Loaded: 1.681405 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810623, GIOU: 0.806407), Class: 0.999480, Obj: 0.725504, No Obj: 0.002194, .5R: 1.000000, .75R: 0.853658, count: 41, class_loss = 0.400655, iou_loss = 0.162310, total_loss = 0.562965 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.743175, GIOU: 0.735842), Class: 0.999703, Obj: 0.439696, No Obj: 0.000112, .5R: 1.000000, .75R: 0.500000, count: 16, class_loss = 0.224441, iou_loss = 0.140297, total_loss = 0.364738 \n", + " total_bbox = 1098291, rewritten_bbox = 2.670057 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.765895, GIOU: 0.756089), Class: 0.999390, Obj: 0.721428, No Obj: 0.002227, .5R: 0.980000, .75R: 0.620000, count: 50, class_loss = 0.382216, iou_loss = 0.334430, total_loss = 0.716646 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.759434, GIOU: 0.749086), Class: 0.999566, Obj: 0.686092, No Obj: 0.000146, .5R: 1.000000, .75R: 0.545455, count: 11, class_loss = 0.102774, iou_loss = 0.081486, total_loss = 0.184260 \n", + " total_bbox = 1098352, rewritten_bbox = 2.670273 % \n", + "\n", + " 9897: 0.457152, 0.466274 avg loss, 0.000010 rate, 0.734050 seconds, 633408 images, 0.120648 hours left\n", + "Loaded: 1.526975 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788814, GIOU: 0.780939), Class: 0.999128, Obj: 0.623859, No Obj: 0.001974, .5R: 1.000000, .75R: 0.731707, count: 41, class_loss = 0.501684, iou_loss = 0.270285, total_loss = 0.771969 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.825133, GIOU: 0.821947), Class: 0.999599, Obj: 0.566301, No Obj: 0.000232, .5R: 1.000000, .75R: 0.818182, count: 22, class_loss = 0.263627, iou_loss = 0.092959, total_loss = 0.356587 \n", + " total_bbox = 1098415, rewritten_bbox = 2.670484 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800796, GIOU: 0.795246), Class: 0.999442, Obj: 0.742116, No Obj: 0.002283, .5R: 1.000000, .75R: 0.760870, count: 46, class_loss = 0.325505, iou_loss = 0.223209, total_loss = 0.548715 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769558, GIOU: 0.764836), Class: 0.999404, Obj: 0.738472, No Obj: 0.000147, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.095049, iou_loss = 0.067307, total_loss = 0.162355 \n", + " total_bbox = 1098470, rewritten_bbox = 2.670533 % \n", + "\n", + " 9898: 0.459906, 0.465637 avg loss, 0.000010 rate, 0.773566 seconds, 633472 images, 0.120133 hours left\n", + "Loaded: 1.693578 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792852, GIOU: 0.786801), Class: 0.999326, Obj: 0.689762, No Obj: 0.002843, .5R: 1.000000, .75R: 0.701754, count: 57, class_loss = 0.465233, iou_loss = 0.284091, total_loss = 0.749324 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785557, GIOU: 0.781584), Class: 0.999468, Obj: 0.464610, No Obj: 0.000086, .5R: 1.000000, .75R: 0.400000, count: 5, class_loss = 0.062279, iou_loss = 0.029967, total_loss = 0.092246 \n", + " total_bbox = 1098532, rewritten_bbox = 2.670473 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784661, GIOU: 0.774674), Class: 0.999647, Obj: 0.718459, No Obj: 0.002142, .5R: 0.977778, .75R: 0.644444, count: 45, class_loss = 0.382917, iou_loss = 0.253432, total_loss = 0.636349 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769639, GIOU: 0.760758), Class: 0.995547, Obj: 0.489261, No Obj: 0.000135, .5R: 1.000000, .75R: 0.636364, count: 11, class_loss = 0.183310, iou_loss = 0.062376, total_loss = 0.245685 \n", + " total_bbox = 1098588, rewritten_bbox = 2.670337 % \n", + "\n", + " 9899: 0.430901, 0.462164 avg loss, 0.000010 rate, 0.819088 seconds, 633536 images, 0.119584 hours left\n", + "Loaded: 1.685695 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783200, GIOU: 0.774909), Class: 0.999546, Obj: 0.801714, No Obj: 0.002395, .5R: 0.981132, .75R: 0.641509, count: 53, class_loss = 0.272894, iou_loss = 0.318979, total_loss = 0.591873 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.569965, GIOU: 0.533923), Class: 0.929695, Obj: 0.426169, No Obj: 0.000055, .5R: 0.500000, .75R: 0.000000, count: 2, class_loss = 0.056912, iou_loss = 0.044105, total_loss = 0.101016 \n", + " total_bbox = 1098643, rewritten_bbox = 2.670567 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799390, GIOU: 0.792383), Class: 0.999528, Obj: 0.690551, No Obj: 0.002051, .5R: 1.000000, .75R: 0.743590, count: 39, class_loss = 0.418435, iou_loss = 0.189140, total_loss = 0.607575 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773638, GIOU: 0.769980), Class: 0.999898, Obj: 0.676309, No Obj: 0.000121, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.095675, iou_loss = 0.061825, total_loss = 0.157500 \n", + " total_bbox = 1098691, rewritten_bbox = 2.670450 % \n", + "\n", + " 9900: 0.364491, 0.452396 avg loss, 0.000010 rate, 0.894851 seconds, 633600 images, 0.119093 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 576 x 576 \n", + " try to allocate additional workspace_size = 606.13 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.698480 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789096, GIOU: 0.782723), Class: 0.999506, Obj: 0.668411, No Obj: 0.002827, .5R: 1.000000, .75R: 0.711864, count: 59, class_loss = 0.539643, iou_loss = 0.350053, total_loss = 0.889695 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.735456, GIOU: 0.724619), Class: 0.999967, Obj: 0.972100, No Obj: 0.000054, .5R: 1.000000, .75R: 0.000000, count: 1, class_loss = 0.032027, iou_loss = 0.011887, total_loss = 0.043913 \n", + " total_bbox = 1098751, rewritten_bbox = 2.670487 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800558, GIOU: 0.795347), Class: 0.999463, Obj: 0.644860, No Obj: 0.002288, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.467183, iou_loss = 0.256138, total_loss = 0.723320 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777570, GIOU: 0.771432), Class: 0.999488, Obj: 0.685698, No Obj: 0.000127, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.074877, iou_loss = 0.054518, total_loss = 0.129395 \n", + " total_bbox = 1098810, rewritten_bbox = 2.670343 % \n", + "\n", + " 9901: 0.446581, 0.451815 avg loss, 0.000010 rate, 0.772398 seconds, 633664 images, 0.118619 hours left\n", + "Loaded: 1.491584 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802480, GIOU: 0.796727), Class: 0.999612, Obj: 0.791144, No Obj: 0.002327, .5R: 1.000000, .75R: 0.808511, count: 47, class_loss = 0.306782, iou_loss = 0.250509, total_loss = 0.557291 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784388, GIOU: 0.780319), Class: 0.996889, Obj: 0.532819, No Obj: 0.000040, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.037074, iou_loss = 0.011125, total_loss = 0.048199 \n", + " total_bbox = 1098860, rewritten_bbox = 2.670313 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786069, GIOU: 0.776425), Class: 0.999246, Obj: 0.668545, No Obj: 0.002453, .5R: 0.979592, .75R: 0.755102, count: 49, class_loss = 0.530063, iou_loss = 0.360731, total_loss = 0.890794 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.726603, GIOU: 0.706740), Class: 0.995245, Obj: 0.618188, No Obj: 0.000123, .5R: 0.928571, .75R: 0.642857, count: 14, class_loss = 0.140894, iou_loss = 0.105603, total_loss = 0.246497 \n", + " total_bbox = 1098923, rewritten_bbox = 2.670251 % \n", + "\n", + " 9902: 0.435695, 0.450203 avg loss, 0.000010 rate, 0.791457 seconds, 633728 images, 0.118112 hours left\n", + "Loaded: 1.576461 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806181, GIOU: 0.799945), Class: 0.999116, Obj: 0.626575, No Obj: 0.002958, .5R: 0.983871, .75R: 0.758065, count: 62, class_loss = 0.678018, iou_loss = 0.338662, total_loss = 1.016681 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.740136, GIOU: 0.730734), Class: 0.999019, Obj: 0.507709, No Obj: 0.000070, .5R: 1.000000, .75R: 0.200000, count: 5, class_loss = 0.093106, iou_loss = 0.043539, total_loss = 0.136645 \n", + " total_bbox = 1098990, rewritten_bbox = 2.670088 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797162, GIOU: 0.792262), Class: 0.999774, Obj: 0.718873, No Obj: 0.002552, .5R: 1.000000, .75R: 0.719298, count: 57, class_loss = 0.464753, iou_loss = 0.360943, total_loss = 0.825697 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.610086, GIOU: 0.599522), Class: 0.993488, Obj: 0.114432, No Obj: 0.000036, .5R: 1.000000, .75R: 0.000000, count: 4, class_loss = 0.113532, iou_loss = 0.088002, total_loss = 0.201534 \n", + " total_bbox = 1099051, rewritten_bbox = 2.670395 % \n", + "\n", + " 9903: 0.545139, 0.459696 avg loss, 0.000010 rate, 0.850345 seconds, 633792 images, 0.117553 hours left\n", + "Loaded: 1.826057 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.757274, GIOU: 0.748797), Class: 0.998924, Obj: 0.633512, No Obj: 0.002393, .5R: 0.979592, .75R: 0.591837, count: 49, class_loss = 0.613321, iou_loss = 0.414279, total_loss = 1.027599 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777486, GIOU: 0.769880), Class: 0.999303, Obj: 0.539567, No Obj: 0.000048, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.047837, iou_loss = 0.049090, total_loss = 0.096927 \n", + " total_bbox = 1099105, rewritten_bbox = 2.670264 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788489, GIOU: 0.781982), Class: 0.999569, Obj: 0.676988, No Obj: 0.002201, .5R: 1.000000, .75R: 0.700000, count: 50, class_loss = 0.503081, iou_loss = 0.336198, total_loss = 0.839279 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797954, GIOU: 0.790510), Class: 0.999738, Obj: 0.609203, No Obj: 0.000100, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.076321, iou_loss = 0.036261, total_loss = 0.112582 \n", + " total_bbox = 1099162, rewritten_bbox = 2.670489 % \n", + "\n", + " 9904: 0.519097, 0.465637 avg loss, 0.000010 rate, 0.700542 seconds, 633856 images, 0.117031 hours left\n", + "Loaded: 1.593003 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779338, GIOU: 0.772867), Class: 0.999427, Obj: 0.669725, No Obj: 0.002620, .5R: 1.000000, .75R: 0.702128, count: 47, class_loss = 0.647596, iou_loss = 0.245107, total_loss = 0.892704 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.809703, GIOU: 0.804420), Class: 0.999520, Obj: 0.489892, No Obj: 0.000069, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.086798, iou_loss = 0.017932, total_loss = 0.104730 \n", + " total_bbox = 1099214, rewritten_bbox = 2.670363 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807102, GIOU: 0.803074), Class: 0.999294, Obj: 0.699299, No Obj: 0.002572, .5R: 1.000000, .75R: 0.792453, count: 53, class_loss = 0.504535, iou_loss = 0.224534, total_loss = 0.729068 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758412, GIOU: 0.749140), Class: 0.999046, Obj: 0.507905, No Obj: 0.000087, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.131816, iou_loss = 0.042712, total_loss = 0.174528 \n", + " total_bbox = 1099272, rewritten_bbox = 2.670313 % \n", + "\n", + " 9905: 0.475257, 0.466599 avg loss, 0.000010 rate, 0.876132 seconds, 633920 images, 0.116535 hours left\n", + "Loaded: 1.481907 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755468, GIOU: 0.744933), Class: 0.999367, Obj: 0.615438, No Obj: 0.001895, .5R: 1.000000, .75R: 0.585366, count: 41, class_loss = 0.631024, iou_loss = 0.305300, total_loss = 0.936323 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766663, GIOU: 0.756593), Class: 0.998980, Obj: 0.659246, No Obj: 0.000187, .5R: 1.000000, .75R: 0.473684, count: 19, class_loss = 0.172965, iou_loss = 0.147054, total_loss = 0.320019 \n", + " total_bbox = 1099332, rewritten_bbox = 2.670349 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.777213, GIOU: 0.768909), Class: 0.999001, Obj: 0.685913, No Obj: 0.002205, .5R: 0.975610, .75R: 0.731707, count: 41, class_loss = 0.442406, iou_loss = 0.264875, total_loss = 0.707281 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748103, GIOU: 0.742675), Class: 0.999732, Obj: 0.808663, No Obj: 0.000062, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.025751, iou_loss = 0.029205, total_loss = 0.054956 \n", + " total_bbox = 1099378, rewritten_bbox = 2.670237 % \n", + "\n", + " 9906: 0.504645, 0.470403 avg loss, 0.000010 rate, 0.802880 seconds, 633984 images, 0.116021 hours left\n", + "Loaded: 1.556286 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766387, GIOU: 0.754451), Class: 0.999086, Obj: 0.599977, No Obj: 0.001857, .5R: 0.954545, .75R: 0.568182, count: 44, class_loss = 0.521245, iou_loss = 0.321325, total_loss = 0.842570 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728779, GIOU: 0.704920), Class: 0.997137, Obj: 0.546959, No Obj: 0.000125, .5R: 0.909091, .75R: 0.363636, count: 11, class_loss = 0.154443, iou_loss = 0.116864, total_loss = 0.271307 \n", + " total_bbox = 1099433, rewritten_bbox = 2.670104 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766357, GIOU: 0.759262), Class: 0.999319, Obj: 0.637824, No Obj: 0.002381, .5R: 1.000000, .75R: 0.603774, count: 53, class_loss = 0.634696, iou_loss = 0.349160, total_loss = 0.983856 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696659, GIOU: 0.686843), Class: 0.999528, Obj: 0.507264, No Obj: 0.000094, .5R: 0.800000, .75R: 0.400000, count: 5, class_loss = 0.117876, iou_loss = 0.062670, total_loss = 0.180546 \n", + " total_bbox = 1099491, rewritten_bbox = 2.670054 % \n", + "\n", + " 9907: 0.569570, 0.480320 avg loss, 0.000010 rate, 0.686391 seconds, 634048 images, 0.115457 hours left\n", + "Loaded: 1.889699 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798943, GIOU: 0.793415), Class: 0.999442, Obj: 0.657842, No Obj: 0.002275, .5R: 1.000000, .75R: 0.714286, count: 49, class_loss = 0.478730, iou_loss = 0.287778, total_loss = 0.766508 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.596821, GIOU: 0.530853), Class: 0.995286, Obj: 0.186220, No Obj: 0.000045, .5R: 0.750000, .75R: 0.250000, count: 4, class_loss = 0.123646, iou_loss = 0.085530, total_loss = 0.209176 \n", + " total_bbox = 1099544, rewritten_bbox = 2.670016 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802266, GIOU: 0.797763), Class: 0.999517, Obj: 0.716725, No Obj: 0.002156, .5R: 1.000000, .75R: 0.787234, count: 47, class_loss = 0.380313, iou_loss = 0.220427, total_loss = 0.600741 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741156, GIOU: 0.732232), Class: 0.997797, Obj: 0.408730, No Obj: 0.000079, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.143682, iou_loss = 0.050186, total_loss = 0.193868 \n", + " total_bbox = 1099597, rewritten_bbox = 2.670069 % \n", + "\n", + " 9908: 0.442573, 0.476545 avg loss, 0.000010 rate, 0.798800 seconds, 634112 images, 0.114883 hours left\n", + "Loaded: 1.938440 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783320, GIOU: 0.775053), Class: 0.998807, Obj: 0.638100, No Obj: 0.002122, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.482571, iou_loss = 0.302331, total_loss = 0.784901 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794240, GIOU: 0.788324), Class: 0.999865, Obj: 0.629062, No Obj: 0.000070, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.063332, iou_loss = 0.042525, total_loss = 0.105858 \n", + " total_bbox = 1099647, rewritten_bbox = 2.670130 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812549, GIOU: 0.806992), Class: 0.999474, Obj: 0.718681, No Obj: 0.002027, .5R: 1.000000, .75R: 0.739130, count: 46, class_loss = 0.409429, iou_loss = 0.224495, total_loss = 0.633924 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748974, GIOU: 0.734814), Class: 0.999294, Obj: 0.570430, No Obj: 0.000080, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.090412, iou_loss = 0.047545, total_loss = 0.137957 \n", + " total_bbox = 1099700, rewritten_bbox = 2.670092 % \n", + "\n", + " 9909: 0.415660, 0.470457 avg loss, 0.000010 rate, 0.941556 seconds, 634176 images, 0.114421 hours left\n", + "Loaded: 1.951918 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792520, GIOU: 0.782600), Class: 0.999727, Obj: 0.739203, No Obj: 0.001849, .5R: 0.974359, .75R: 0.820513, count: 39, class_loss = 0.318692, iou_loss = 0.212363, total_loss = 0.531055 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742802, GIOU: 0.735613), Class: 0.998938, Obj: 0.650724, No Obj: 0.000082, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.082616, iou_loss = 0.049894, total_loss = 0.132510 \n", + " total_bbox = 1099747, rewritten_bbox = 2.670069 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.759520, GIOU: 0.748667), Class: 0.999248, Obj: 0.655838, No Obj: 0.002086, .5R: 0.960000, .75R: 0.540000, count: 50, class_loss = 0.537337, iou_loss = 0.408197, total_loss = 0.945535 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746868, GIOU: 0.732037), Class: 0.993239, Obj: 0.037904, No Obj: 0.000030, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.101572, iou_loss = 0.023691, total_loss = 0.125263 \n", + " total_bbox = 1099800, rewritten_bbox = 2.670213 % \n", + "\n", + " 9910: 0.433591, 0.466770 avg loss, 0.000010 rate, 0.848025 seconds, 634240 images, 0.114007 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 0.000045 seconds\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.810153, GIOU: 0.807731), Class: 0.999371, Obj: 0.590398, No Obj: 0.001819, .5R: 1.000000, .75R: 0.733333, count: 45, class_loss = 0.586889, iou_loss = 0.239604, total_loss = 0.826494 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764587, GIOU: 0.759698), Class: 0.999829, Obj: 0.696567, No Obj: 0.000055, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.030663, iou_loss = 0.028412, total_loss = 0.059075 \n", + " total_bbox = 1099850, rewritten_bbox = 2.670182 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773458, GIOU: 0.766579), Class: 0.999447, Obj: 0.519024, No Obj: 0.001804, .5R: 1.000000, .75R: 0.622222, count: 45, class_loss = 0.696604, iou_loss = 0.284789, total_loss = 0.981393 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773636, GIOU: 0.766129), Class: 0.999586, Obj: 0.539226, No Obj: 0.000152, .5R: 1.000000, .75R: 0.588235, count: 17, class_loss = 0.223240, iou_loss = 0.114677, total_loss = 0.337917 \n", + " total_bbox = 1099912, rewritten_bbox = 2.670123 % \n", + "\n", + " 9911: 0.551220, 0.475215 avg loss, 0.000010 rate, 1.016385 seconds, 634304 images, 0.113566 hours left\n", + "Loaded: 1.839422 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.755055, GIOU: 0.742493), Class: 0.998478, Obj: 0.551990, No Obj: 0.001788, .5R: 0.977273, .75R: 0.590909, count: 44, class_loss = 0.587522, iou_loss = 0.341574, total_loss = 0.929096 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.789979, GIOU: 0.782768), Class: 0.999604, Obj: 0.702068, No Obj: 0.000077, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.041649, iou_loss = 0.032560, total_loss = 0.074209 \n", + " total_bbox = 1099964, rewritten_bbox = 2.670087 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812255, GIOU: 0.807053), Class: 0.999630, Obj: 0.671386, No Obj: 0.001960, .5R: 1.000000, .75R: 0.822222, count: 45, class_loss = 0.395825, iou_loss = 0.230250, total_loss = 0.626075 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.709637, GIOU: 0.696194), Class: 0.996616, Obj: 0.604894, No Obj: 0.000072, .5R: 0.888889, .75R: 0.444444, count: 9, class_loss = 0.115901, iou_loss = 0.119231, total_loss = 0.235132 \n", + " total_bbox = 1100018, rewritten_bbox = 2.670138 % \n", + "\n", + " 9912: 0.466128, 0.474306 avg loss, 0.000010 rate, 1.406377 seconds, 634368 images, 0.112682 hours left\n", + "Loaded: 1.292076 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781072, GIOU: 0.771692), Class: 0.998412, Obj: 0.557113, No Obj: 0.002176, .5R: 0.980769, .75R: 0.634615, count: 52, class_loss = 0.769995, iou_loss = 0.376480, total_loss = 1.146474 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.623610, GIOU: 0.597822), Class: 0.989465, Obj: 0.240597, No Obj: 0.000038, .5R: 0.750000, .75R: 0.250000, count: 4, class_loss = 0.099406, iou_loss = 0.060670, total_loss = 0.160075 \n", + " total_bbox = 1100074, rewritten_bbox = 2.670093 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771550, GIOU: 0.766086), Class: 0.999221, Obj: 0.658387, No Obj: 0.002057, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.606878, iou_loss = 0.277822, total_loss = 0.884700 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.644879, GIOU: 0.621598), Class: 0.994330, Obj: 0.531870, No Obj: 0.000062, .5R: 0.833333, .75R: 0.500000, count: 6, class_loss = 0.086897, iou_loss = 0.120185, total_loss = 0.207082 \n", + " total_bbox = 1100124, rewritten_bbox = 2.669972 % \n", + "\n", + " 9913: 0.599583, 0.486834 avg loss, 0.000010 rate, 1.164675 seconds, 634432 images, 0.112349 hours left\n", + "Loaded: 1.326611 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754652, GIOU: 0.745432), Class: 0.999243, Obj: 0.600310, No Obj: 0.002047, .5R: 1.000000, .75R: 0.528302, count: 53, class_loss = 0.608235, iou_loss = 0.459700, total_loss = 1.067935 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733063, GIOU: 0.718606), Class: 0.998448, Obj: 0.672145, No Obj: 0.000104, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.074859, iou_loss = 0.068351, total_loss = 0.143210 \n", + " total_bbox = 1100185, rewritten_bbox = 2.669915 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779644, GIOU: 0.774041), Class: 0.999644, Obj: 0.707540, No Obj: 0.002199, .5R: 0.978723, .75R: 0.680851, count: 47, class_loss = 0.457332, iou_loss = 0.278138, total_loss = 0.735470 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761074, GIOU: 0.740855), Class: 0.999657, Obj: 0.263780, No Obj: 0.000035, .5R: 1.000000, .75R: 0.500000, count: 2, class_loss = 0.039465, iou_loss = 0.010637, total_loss = 0.050103 \n", + " total_bbox = 1100234, rewritten_bbox = 2.669796 % \n", + "\n", + " 9914: 0.499179, 0.488069 avg loss, 0.000010 rate, 0.912873 seconds, 634496 images, 0.111819 hours left\n", + "Loaded: 1.564610 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779357, GIOU: 0.773868), Class: 0.999502, Obj: 0.682848, No Obj: 0.002253, .5R: 0.980000, .75R: 0.620000, count: 50, class_loss = 0.504695, iou_loss = 0.319916, total_loss = 0.824611 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.663129, GIOU: 0.634055), Class: 0.998438, Obj: 0.023302, No Obj: 0.000034, .5R: 1.000000, .75R: 0.000000, count: 4, class_loss = 0.132694, iou_loss = 0.049073, total_loss = 0.181767 \n", + " total_bbox = 1100288, rewritten_bbox = 2.669665 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778642, GIOU: 0.771318), Class: 0.999172, Obj: 0.628240, No Obj: 0.001986, .5R: 1.000000, .75R: 0.648148, count: 54, class_loss = 0.626505, iou_loss = 0.313896, total_loss = 0.940401 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.811467, GIOU: 0.802298), Class: 0.997968, Obj: 0.667439, No Obj: 0.000129, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.104097, iou_loss = 0.068562, total_loss = 0.172660 \n", + " total_bbox = 1100353, rewritten_bbox = 2.669598 % \n", + "\n", + " 9915: 0.529860, 0.492248 avg loss, 0.000010 rate, 0.920136 seconds, 634560 images, 0.111236 hours left\n", + "Loaded: 1.528003 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797343, GIOU: 0.792440), Class: 0.999196, Obj: 0.745481, No Obj: 0.001902, .5R: 1.000000, .75R: 0.704545, count: 44, class_loss = 0.416294, iou_loss = 0.215087, total_loss = 0.631381 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.437560, GIOU: 0.261430), Class: 0.999491, Obj: 0.214537, No Obj: 0.000042, .5R: 0.500000, .75R: 0.500000, count: 2, class_loss = 0.078541, iou_loss = 0.115282, total_loss = 0.193823 \n", + " total_bbox = 1100399, rewritten_bbox = 2.669668 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780855, GIOU: 0.773925), Class: 0.998666, Obj: 0.698930, No Obj: 0.002185, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.434720, iou_loss = 0.323881, total_loss = 0.758601 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742936, GIOU: 0.727849), Class: 0.999353, Obj: 0.295306, No Obj: 0.000079, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.186120, iou_loss = 0.069074, total_loss = 0.255194 \n", + " total_bbox = 1100454, rewritten_bbox = 2.669535 % \n", + "\n", + " 9916: 0.459750, 0.488998 avg loss, 0.000010 rate, 0.825969 seconds, 634624 images, 0.110710 hours left\n", + "Loaded: 1.810107 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780020, GIOU: 0.774547), Class: 0.999086, Obj: 0.630382, No Obj: 0.002473, .5R: 0.981481, .75R: 0.685185, count: 54, class_loss = 0.686477, iou_loss = 0.411469, total_loss = 1.097946 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696623, GIOU: 0.684828), Class: 0.999357, Obj: 0.448972, No Obj: 0.000062, .5R: 0.857143, .75R: 0.285714, count: 7, class_loss = 0.105614, iou_loss = 0.071737, total_loss = 0.177351 \n", + " total_bbox = 1100515, rewritten_bbox = 2.669477 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792207, GIOU: 0.785052), Class: 0.999425, Obj: 0.642940, No Obj: 0.002240, .5R: 0.978723, .75R: 0.787234, count: 47, class_loss = 0.570862, iou_loss = 0.220017, total_loss = 0.790880 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765126, GIOU: 0.758238), Class: 0.999746, Obj: 0.584064, No Obj: 0.000158, .5R: 1.000000, .75R: 0.600000, count: 15, class_loss = 0.191970, iou_loss = 0.094083, total_loss = 0.286053 \n", + " total_bbox = 1100577, rewritten_bbox = 2.669327 % \n", + "\n", + " 9917: 0.588057, 0.498904 avg loss, 0.000010 rate, 0.871292 seconds, 634688 images, 0.110152 hours left\n", + "Loaded: 1.665123 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790901, GIOU: 0.786031), Class: 0.998906, Obj: 0.630045, No Obj: 0.002581, .5R: 1.000000, .75R: 0.682540, count: 63, class_loss = 0.779365, iou_loss = 0.360389, total_loss = 1.139753 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.412164, GIOU: 0.352316), Class: 0.990317, Obj: 0.005709, No Obj: 0.000020, .5R: 0.333333, .75R: 0.000000, count: 3, class_loss = 0.105535, iou_loss = 0.105119, total_loss = 0.210654 \n", + " total_bbox = 1100643, rewritten_bbox = 2.669440 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.795097, GIOU: 0.788990), Class: 0.999422, Obj: 0.631671, No Obj: 0.002092, .5R: 1.000000, .75R: 0.702128, count: 47, class_loss = 0.694386, iou_loss = 0.258131, total_loss = 0.952518 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760830, GIOU: 0.747168), Class: 0.995581, Obj: 0.421742, No Obj: 0.000045, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.095286, iou_loss = 0.038127, total_loss = 0.133413 \n", + " total_bbox = 1100695, rewritten_bbox = 2.669404 % \n", + "\n", + " 9918: 0.609084, 0.509922 avg loss, 0.000010 rate, 0.781052 seconds, 634752 images, 0.109669 hours left\n", + "Loaded: 1.550652 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772489, GIOU: 0.765369), Class: 0.999113, Obj: 0.613108, No Obj: 0.002166, .5R: 0.980000, .75R: 0.660000, count: 50, class_loss = 0.691175, iou_loss = 0.371328, total_loss = 1.062503 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728024, GIOU: 0.722784), Class: 0.998107, Obj: 0.475577, No Obj: 0.000082, .5R: 0.900000, .75R: 0.700000, count: 10, class_loss = 0.149922, iou_loss = 0.099125, total_loss = 0.249047 \n", + " total_bbox = 1100755, rewritten_bbox = 2.669441 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793262, GIOU: 0.787180), Class: 0.999236, Obj: 0.671479, No Obj: 0.002688, .5R: 1.000000, .75R: 0.701754, count: 57, class_loss = 0.651988, iou_loss = 0.301770, total_loss = 0.953758 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.728226, GIOU: 0.724126), Class: 0.998871, Obj: 0.436028, No Obj: 0.000089, .5R: 0.875000, .75R: 0.625000, count: 8, class_loss = 0.143817, iou_loss = 0.093322, total_loss = 0.237138 \n", + " total_bbox = 1100820, rewritten_bbox = 2.669374 % \n", + "\n", + " 9919: 0.625612, 0.521491 avg loss, 0.000010 rate, 0.774950 seconds, 634816 images, 0.109130 hours left\n", + "Loaded: 1.709942 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782102, GIOU: 0.773879), Class: 0.999046, Obj: 0.568959, No Obj: 0.001767, .5R: 1.000000, .75R: 0.690476, count: 42, class_loss = 0.532375, iou_loss = 0.249039, total_loss = 0.781414 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.829817, GIOU: 0.826230), Class: 0.999972, Obj: 0.786710, No Obj: 0.000076, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.045935, iou_loss = 0.014917, total_loss = 0.060852 \n", + " total_bbox = 1100867, rewritten_bbox = 2.669351 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.821531, GIOU: 0.816716), Class: 0.999083, Obj: 0.745242, No Obj: 0.002390, .5R: 1.000000, .75R: 0.851852, count: 54, class_loss = 0.408664, iou_loss = 0.240146, total_loss = 0.648810 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.693123, GIOU: 0.677332), Class: 0.995837, Obj: 0.503311, No Obj: 0.000095, .5R: 0.888889, .75R: 0.333333, count: 9, class_loss = 0.183392, iou_loss = 0.071108, total_loss = 0.254500 \n", + " total_bbox = 1100930, rewritten_bbox = 2.669198 % \n", + "\n", + " 9920: 0.436394, 0.512981 avg loss, 0.000010 rate, 0.887733 seconds, 634880 images, 0.108561 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.938346 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773746, GIOU: 0.767278), Class: 0.998902, Obj: 0.636963, No Obj: 0.001986, .5R: 0.978723, .75R: 0.680851, count: 47, class_loss = 0.653432, iou_loss = 0.341651, total_loss = 0.995083 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739220, GIOU: 0.727724), Class: 0.999851, Obj: 0.594222, No Obj: 0.000062, .5R: 1.000000, .75R: 0.333333, count: 3, class_loss = 0.065265, iou_loss = 0.025891, total_loss = 0.091156 \n", + " total_bbox = 1100980, rewritten_bbox = 2.669168 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.781049, GIOU: 0.771560), Class: 0.999191, Obj: 0.671249, No Obj: 0.002166, .5R: 1.000000, .75R: 0.723404, count: 47, class_loss = 0.567824, iou_loss = 0.344845, total_loss = 0.912668 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725734, GIOU: 0.707738), Class: 0.999856, Obj: 0.101193, No Obj: 0.000019, .5R: 1.000000, .75R: 0.000000, count: 1, class_loss = 0.042461, iou_loss = 0.006496, total_loss = 0.048957 \n", + " total_bbox = 1101028, rewritten_bbox = 2.669142 % \n", + "\n", + " 9921: 0.511966, 0.512880 avg loss, 0.000010 rate, 0.805718 seconds, 634944 images, 0.108053 hours left\n", + "Loaded: 1.489080 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762997, GIOU: 0.753641), Class: 0.999141, Obj: 0.630422, No Obj: 0.002055, .5R: 1.000000, .75R: 0.600000, count: 45, class_loss = 0.546743, iou_loss = 0.358800, total_loss = 0.905543 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.750370, GIOU: 0.733681), Class: 0.999780, Obj: 0.317524, No Obj: 0.000078, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.192692, iou_loss = 0.061593, total_loss = 0.254285 \n", + " total_bbox = 1101079, rewritten_bbox = 2.669109 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.799677, GIOU: 0.793700), Class: 0.999075, Obj: 0.554919, No Obj: 0.002114, .5R: 1.000000, .75R: 0.750000, count: 52, class_loss = 0.696104, iou_loss = 0.321068, total_loss = 1.017172 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721084, GIOU: 0.705910), Class: 0.996892, Obj: 0.337597, No Obj: 0.000076, .5R: 0.909091, .75R: 0.636364, count: 11, class_loss = 0.226413, iou_loss = 0.072931, total_loss = 0.299343 \n", + " total_bbox = 1101142, rewritten_bbox = 2.669138 % \n", + "\n", + " 9922: 0.619086, 0.523500 avg loss, 0.000010 rate, 0.980882 seconds, 635008 images, 0.107575 hours left\n", + "Loaded: 1.789827 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782912, GIOU: 0.776561), Class: 0.998876, Obj: 0.611196, No Obj: 0.002189, .5R: 1.000000, .75R: 0.727273, count: 55, class_loss = 0.657405, iou_loss = 0.354874, total_loss = 1.012280 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771894, GIOU: 0.752852), Class: 0.984223, Obj: 0.329282, No Obj: 0.000053, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.073997, iou_loss = 0.027931, total_loss = 0.101928 \n", + " total_bbox = 1101200, rewritten_bbox = 2.669179 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770137, GIOU: 0.760390), Class: 0.998730, Obj: 0.589657, No Obj: 0.002119, .5R: 0.980000, .75R: 0.580000, count: 50, class_loss = 0.837774, iou_loss = 0.347347, total_loss = 1.185122 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.717154, GIOU: 0.711407), Class: 0.999417, Obj: 0.463704, No Obj: 0.000075, .5R: 1.000000, .75R: 0.333333, count: 9, class_loss = 0.139747, iou_loss = 0.132553, total_loss = 0.272300 \n", + " total_bbox = 1101259, rewritten_bbox = 2.669218 % \n", + "\n", + " 9923: 0.642907, 0.535441 avg loss, 0.000010 rate, 0.951281 seconds, 635072 images, 0.107035 hours left\n", + "Loaded: 1.404647 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801841, GIOU: 0.796984), Class: 0.999606, Obj: 0.737233, No Obj: 0.001859, .5R: 1.000000, .75R: 0.775000, count: 40, class_loss = 0.335771, iou_loss = 0.201498, total_loss = 0.537269 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751708, GIOU: 0.744845), Class: 0.999586, Obj: 0.666454, No Obj: 0.000069, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.072641, iou_loss = 0.033827, total_loss = 0.106468 \n", + " total_bbox = 1101304, rewritten_bbox = 2.669109 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.749983, GIOU: 0.735524), Class: 0.999304, Obj: 0.547716, No Obj: 0.001906, .5R: 0.958333, .75R: 0.520833, count: 48, class_loss = 0.639621, iou_loss = 0.494819, total_loss = 1.134440 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.725236, GIOU: 0.713296), Class: 0.997971, Obj: 0.432678, No Obj: 0.000047, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.104016, iou_loss = 0.058468, total_loss = 0.162484 \n", + " total_bbox = 1101358, rewritten_bbox = 2.669159 % \n", + "\n", + " 9924: 0.485165, 0.530413 avg loss, 0.000010 rate, 0.941235 seconds, 635136 images, 0.106553 hours left\n", + "Loaded: 1.583766 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790670, GIOU: 0.783747), Class: 0.998926, Obj: 0.691850, No Obj: 0.002240, .5R: 1.000000, .75R: 0.620000, count: 50, class_loss = 0.516155, iou_loss = 0.332707, total_loss = 0.848862 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.631238, GIOU: 0.605630), Class: 0.997531, Obj: 0.113387, No Obj: 0.000039, .5R: 0.714286, .75R: 0.142857, count: 7, class_loss = 0.167489, iou_loss = 0.155925, total_loss = 0.323413 \n", + " total_bbox = 1101415, rewritten_bbox = 2.669294 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793415, GIOU: 0.787630), Class: 0.999550, Obj: 0.650638, No Obj: 0.002036, .5R: 0.979592, .75R: 0.673469, count: 49, class_loss = 0.468885, iou_loss = 0.298341, total_loss = 0.767226 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746454, GIOU: 0.728962), Class: 0.997931, Obj: 0.589840, No Obj: 0.000106, .5R: 0.900000, .75R: 0.500000, count: 10, class_loss = 0.127783, iou_loss = 0.084437, total_loss = 0.212220 \n", + " total_bbox = 1101474, rewritten_bbox = 2.669423 % \n", + "\n", + " 9925: 0.537930, 0.531165 avg loss, 0.000010 rate, 0.844736 seconds, 635200 images, 0.105983 hours left\n", + "Loaded: 1.692414 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798264, GIOU: 0.791947), Class: 0.999191, Obj: 0.652836, No Obj: 0.002450, .5R: 1.000000, .75R: 0.754717, count: 53, class_loss = 0.517528, iou_loss = 0.320709, total_loss = 0.838237 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758169, GIOU: 0.750283), Class: 0.998606, Obj: 0.625632, No Obj: 0.000100, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.175364, iou_loss = 0.062449, total_loss = 0.237813 \n", + " total_bbox = 1101535, rewritten_bbox = 2.669275 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.754995, GIOU: 0.742245), Class: 0.998343, Obj: 0.684749, No Obj: 0.001907, .5R: 0.937500, .75R: 0.562500, count: 48, class_loss = 0.434013, iou_loss = 0.470097, total_loss = 0.904111 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.713189, GIOU: 0.701803), Class: 0.994114, Obj: 0.523670, No Obj: 0.000127, .5R: 0.928571, .75R: 0.571429, count: 14, class_loss = 0.208147, iou_loss = 0.137637, total_loss = 0.345785 \n", + " total_bbox = 1101597, rewritten_bbox = 2.669488 % \n", + "\n", + " 9926: 0.581486, 0.536197 avg loss, 0.000010 rate, 1.009369 seconds, 635264 images, 0.105430 hours left\n", + "Loaded: 1.896757 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.818074, GIOU: 0.811950), Class: 0.999387, Obj: 0.714382, No Obj: 0.002050, .5R: 1.000000, .75R: 0.795455, count: 44, class_loss = 0.388488, iou_loss = 0.267146, total_loss = 0.655635 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774176, GIOU: 0.766912), Class: 0.998161, Obj: 0.390657, No Obj: 0.000054, .5R: 1.000000, .75R: 0.400000, count: 5, class_loss = 0.073338, iou_loss = 0.028994, total_loss = 0.102331 \n", + " total_bbox = 1101646, rewritten_bbox = 2.669551 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787795, GIOU: 0.780541), Class: 0.999471, Obj: 0.608654, No Obj: 0.001842, .5R: 1.000000, .75R: 0.666667, count: 42, class_loss = 0.514094, iou_loss = 0.213612, total_loss = 0.727706 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775831, GIOU: 0.766989), Class: 0.993979, Obj: 0.282378, No Obj: 0.000077, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.178849, iou_loss = 0.052260, total_loss = 0.231109 \n", + " total_bbox = 1101696, rewritten_bbox = 2.669430 % \n", + "\n", + " 9927: 0.429195, 0.525497 avg loss, 0.000010 rate, 1.191250 seconds, 635328 images, 0.104931 hours left\n", + "Loaded: 1.482162 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779996, GIOU: 0.770987), Class: 0.999528, Obj: 0.652543, No Obj: 0.002168, .5R: 0.978261, .75R: 0.717391, count: 46, class_loss = 0.600046, iou_loss = 0.244292, total_loss = 0.844338 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788022, GIOU: 0.779308), Class: 0.999622, Obj: 0.683518, No Obj: 0.000146, .5R: 0.933333, .75R: 0.666667, count: 15, class_loss = 0.136061, iou_loss = 0.099947, total_loss = 0.236008 \n", + " total_bbox = 1101757, rewritten_bbox = 2.669463 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780548, GIOU: 0.773327), Class: 0.999568, Obj: 0.635155, No Obj: 0.001693, .5R: 0.974359, .75R: 0.692308, count: 39, class_loss = 0.415835, iou_loss = 0.275127, total_loss = 0.690961 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.699843, GIOU: 0.692478), Class: 0.996924, Obj: 0.463318, No Obj: 0.000097, .5R: 0.888889, .75R: 0.444444, count: 9, class_loss = 0.125684, iou_loss = 0.077243, total_loss = 0.202927 \n", + " total_bbox = 1101805, rewritten_bbox = 2.669438 % \n", + "\n", + " 9928: 0.493559, 0.522303 avg loss, 0.000010 rate, 0.910761 seconds, 635392 images, 0.104510 hours left\n", + "Loaded: 1.407609 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792673, GIOU: 0.788185), Class: 0.999555, Obj: 0.697549, No Obj: 0.001852, .5R: 1.000000, .75R: 0.738095, count: 42, class_loss = 0.504101, iou_loss = 0.239981, total_loss = 0.744081 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739687, GIOU: 0.732776), Class: 0.999741, Obj: 0.574313, No Obj: 0.000058, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.071516, iou_loss = 0.045307, total_loss = 0.116822 \n", + " total_bbox = 1101855, rewritten_bbox = 2.669408 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807535, GIOU: 0.801236), Class: 0.999294, Obj: 0.678922, No Obj: 0.002031, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.494962, iou_loss = 0.243290, total_loss = 0.738252 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.805253, GIOU: 0.801457), Class: 0.999915, Obj: 0.521769, No Obj: 0.000025, .5R: 1.000000, .75R: 1.000000, count: 1, class_loss = 0.009425, iou_loss = 0.002833, total_loss = 0.012258 \n", + " total_bbox = 1101906, rewritten_bbox = 2.669375 % \n", + "\n", + " 9929: 0.402853, 0.510358 avg loss, 0.000010 rate, 0.875015 seconds, 635456 images, 0.103944 hours left\n", + "Loaded: 1.862007 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782708, GIOU: 0.774057), Class: 0.999596, Obj: 0.610179, No Obj: 0.002197, .5R: 0.980392, .75R: 0.686275, count: 51, class_loss = 0.747790, iou_loss = 0.338859, total_loss = 1.086649 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.712612, GIOU: 0.710791), Class: 0.999598, Obj: 0.163097, No Obj: 0.000026, .5R: 1.000000, .75R: 0.333333, count: 3, class_loss = 0.077968, iou_loss = 0.026079, total_loss = 0.104047 \n", + " total_bbox = 1101960, rewritten_bbox = 2.669335 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776548, GIOU: 0.769528), Class: 0.999353, Obj: 0.671092, No Obj: 0.002315, .5R: 1.000000, .75R: 0.625000, count: 48, class_loss = 0.587225, iou_loss = 0.333993, total_loss = 0.921218 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.819056, GIOU: 0.813465), Class: 0.999464, Obj: 0.509593, No Obj: 0.000082, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.100923, iou_loss = 0.040784, total_loss = 0.141707 \n", + " total_bbox = 1102015, rewritten_bbox = 2.669201 % \n", + "\n", + " 9930: 0.563405, 0.515663 avg loss, 0.000010 rate, 1.084516 seconds, 635520 images, 0.103355 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 2.141417 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.742111, GIOU: 0.727604), Class: 0.999002, Obj: 0.576556, No Obj: 0.002299, .5R: 0.916667, .75R: 0.562500, count: 48, class_loss = 0.612715, iou_loss = 0.500458, total_loss = 1.113173 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.692400, GIOU: 0.677776), Class: 0.996612, Obj: 0.385267, No Obj: 0.000087, .5R: 1.000000, .75R: 0.230769, count: 13, class_loss = 0.242634, iou_loss = 0.118256, total_loss = 0.360890 \n", + " total_bbox = 1102076, rewritten_bbox = 2.669054 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773828, GIOU: 0.766355), Class: 0.999177, Obj: 0.621589, No Obj: 0.002318, .5R: 1.000000, .75R: 0.660000, count: 50, class_loss = 0.553865, iou_loss = 0.351245, total_loss = 0.905110 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.714746, GIOU: 0.694458), Class: 0.991541, Obj: 0.418084, No Obj: 0.000075, .5R: 0.833333, .75R: 0.500000, count: 6, class_loss = 0.112371, iou_loss = 0.052336, total_loss = 0.164707 \n", + " total_bbox = 1102132, rewritten_bbox = 2.668918 % \n", + "\n", + " 9931: 0.635970, 0.527694 avg loss, 0.000010 rate, 0.853817 seconds, 635584 images, 0.102895 hours left\n", + "Loaded: 1.629207 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803820, GIOU: 0.797171), Class: 0.999497, Obj: 0.714816, No Obj: 0.002540, .5R: 1.000000, .75R: 0.754098, count: 61, class_loss = 0.489740, iou_loss = 0.335596, total_loss = 0.825336 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.745220, GIOU: 0.715987), Class: 0.999787, Obj: 0.415457, No Obj: 0.000063, .5R: 0.857143, .75R: 0.571429, count: 7, class_loss = 0.112014, iou_loss = 0.126141, total_loss = 0.238155 \n", + " total_bbox = 1102200, rewritten_bbox = 2.669116 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798775, GIOU: 0.791805), Class: 0.999656, Obj: 0.754015, No Obj: 0.001954, .5R: 1.000000, .75R: 0.725000, count: 40, class_loss = 0.343806, iou_loss = 0.222882, total_loss = 0.566688 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781877, GIOU: 0.777286), Class: 0.999878, Obj: 0.594565, No Obj: 0.000045, .5R: 1.000000, .75R: 0.500000, count: 2, class_loss = 0.020808, iou_loss = 0.016226, total_loss = 0.037034 \n", + " total_bbox = 1102242, rewritten_bbox = 2.669015 % \n", + "\n", + " 9932: 0.416803, 0.516605 avg loss, 0.000010 rate, 0.894216 seconds, 635648 images, 0.102440 hours left\n", + "Loaded: 1.699274 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774003, GIOU: 0.765043), Class: 0.998794, Obj: 0.622367, No Obj: 0.002129, .5R: 0.979592, .75R: 0.653061, count: 49, class_loss = 0.536693, iou_loss = 0.371542, total_loss = 0.908235 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.777559, GIOU: 0.766107), Class: 0.999463, Obj: 0.487411, No Obj: 0.000054, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.085987, iou_loss = 0.047019, total_loss = 0.133006 \n", + " total_bbox = 1102296, rewritten_bbox = 2.668884 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.752017, GIOU: 0.746070), Class: 0.999537, Obj: 0.666985, No Obj: 0.001677, .5R: 0.973684, .75R: 0.526316, count: 38, class_loss = 0.454387, iou_loss = 0.305802, total_loss = 0.760190 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754459, GIOU: 0.749189), Class: 0.998901, Obj: 0.532827, No Obj: 0.000101, .5R: 1.000000, .75R: 0.400000, count: 10, class_loss = 0.162262, iou_loss = 0.059906, total_loss = 0.222168 \n", + " total_bbox = 1102344, rewritten_bbox = 2.668949 % \n", + "\n", + " 9933: 0.505900, 0.515534 avg loss, 0.000010 rate, 1.003502 seconds, 635712 images, 0.101893 hours left\n", + "Loaded: 1.774602 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784575, GIOU: 0.777431), Class: 0.999236, Obj: 0.697054, No Obj: 0.001898, .5R: 1.000000, .75R: 0.652174, count: 46, class_loss = 0.392926, iou_loss = 0.282136, total_loss = 0.675062 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742169, GIOU: 0.731904), Class: 0.999761, Obj: 0.652906, No Obj: 0.000101, .5R: 1.000000, .75R: 0.333333, count: 9, class_loss = 0.115909, iou_loss = 0.062312, total_loss = 0.178221 \n", + " total_bbox = 1102399, rewritten_bbox = 2.668997 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774991, GIOU: 0.765324), Class: 0.998345, Obj: 0.512612, No Obj: 0.001794, .5R: 0.978261, .75R: 0.543478, count: 46, class_loss = 0.773613, iou_loss = 0.332169, total_loss = 1.105782 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.733973, GIOU: 0.714657), Class: 0.999207, Obj: 0.188387, No Obj: 0.000048, .5R: 1.000000, .75R: 0.428571, count: 7, class_loss = 0.193669, iou_loss = 0.049738, total_loss = 0.243407 \n", + " total_bbox = 1102452, rewritten_bbox = 2.668869 % \n", + "\n", + " 9934: 0.550618, 0.519042 avg loss, 0.000010 rate, 0.915955 seconds, 635776 images, 0.101378 hours left\n", + "Loaded: 1.450539 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789040, GIOU: 0.781972), Class: 0.999123, Obj: 0.627051, No Obj: 0.002554, .5R: 1.000000, .75R: 0.660714, count: 56, class_loss = 0.578863, iou_loss = 0.303414, total_loss = 0.882277 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748711, GIOU: 0.739571), Class: 0.999292, Obj: 0.587267, No Obj: 0.000052, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.059044, iou_loss = 0.031312, total_loss = 0.090355 \n", + " total_bbox = 1102512, rewritten_bbox = 2.668905 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779883, GIOU: 0.772203), Class: 0.999000, Obj: 0.563091, No Obj: 0.002346, .5R: 0.983333, .75R: 0.750000, count: 60, class_loss = 0.838820, iou_loss = 0.371674, total_loss = 1.210494 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.783983, GIOU: 0.776303), Class: 0.999247, Obj: 0.710433, No Obj: 0.000078, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.065854, iou_loss = 0.029331, total_loss = 0.095184 \n", + " total_bbox = 1102578, rewritten_bbox = 2.668836 % \n", + "\n", + " 9935: 0.569577, 0.524096 avg loss, 0.000010 rate, 1.160157 seconds, 635840 images, 0.100858 hours left\n", + "Loaded: 1.335785 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790052, GIOU: 0.782559), Class: 0.999635, Obj: 0.659001, No Obj: 0.002309, .5R: 0.981132, .75R: 0.660377, count: 53, class_loss = 0.521591, iou_loss = 0.365513, total_loss = 0.887104 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.732517, GIOU: 0.727623), Class: 0.999946, Obj: 0.390005, No Obj: 0.000030, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.051879, iou_loss = 0.034551, total_loss = 0.086431 \n", + " total_bbox = 1102635, rewritten_bbox = 2.668789 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796057, GIOU: 0.788985), Class: 0.999587, Obj: 0.661000, No Obj: 0.001885, .5R: 1.000000, .75R: 0.761905, count: 42, class_loss = 0.427071, iou_loss = 0.218373, total_loss = 0.645444 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763092, GIOU: 0.753244), Class: 0.998724, Obj: 0.271632, No Obj: 0.000056, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.120593, iou_loss = 0.038328, total_loss = 0.158921 \n", + " total_bbox = 1102683, rewritten_bbox = 2.668673 % \n", + "\n", + " 9936: 0.444475, 0.516134 avg loss, 0.000010 rate, 1.004201 seconds, 635904 images, 0.100321 hours left\n", + "Loaded: 1.647359 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790677, GIOU: 0.780885), Class: 0.999459, Obj: 0.699753, No Obj: 0.002428, .5R: 0.979592, .75R: 0.734694, count: 49, class_loss = 0.445488, iou_loss = 0.305338, total_loss = 0.750826 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.742250, GIOU: 0.725342), Class: 0.998829, Obj: 0.588941, No Obj: 0.000115, .5R: 0.923077, .75R: 0.538462, count: 13, class_loss = 0.138410, iou_loss = 0.129118, total_loss = 0.267528 \n", + " total_bbox = 1102745, rewritten_bbox = 2.668613 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.819902, GIOU: 0.816491), Class: 0.999098, Obj: 0.615463, No Obj: 0.002324, .5R: 0.981132, .75R: 0.849057, count: 53, class_loss = 0.553482, iou_loss = 0.260145, total_loss = 0.813627 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.676367, GIOU: 0.669834), Class: 0.999383, Obj: 0.523104, No Obj: 0.000035, .5R: 1.000000, .75R: 0.333333, count: 3, class_loss = 0.053431, iou_loss = 0.053820, total_loss = 0.107250 \n", + " total_bbox = 1102801, rewritten_bbox = 2.668659 % \n", + "\n", + " 9937: 0.484808, 0.513001 avg loss, 0.000010 rate, 0.916791 seconds, 635968 images, 0.099734 hours left\n", + "Loaded: 1.652678 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788384, GIOU: 0.779266), Class: 0.999570, Obj: 0.581803, No Obj: 0.001669, .5R: 0.975610, .75R: 0.731707, count: 41, class_loss = 0.591411, iou_loss = 0.288849, total_loss = 0.880260 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753842, GIOU: 0.740212), Class: 0.999242, Obj: 0.504844, No Obj: 0.000051, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.110946, iou_loss = 0.054185, total_loss = 0.165131 \n", + " total_bbox = 1102848, rewritten_bbox = 2.668545 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808080, GIOU: 0.801728), Class: 0.998734, Obj: 0.781083, No Obj: 0.001969, .5R: 0.978261, .75R: 0.760870, count: 46, class_loss = 0.301246, iou_loss = 0.274695, total_loss = 0.575940 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771756, GIOU: 0.764919), Class: 0.999279, Obj: 0.458527, No Obj: 0.000063, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.109649, iou_loss = 0.036459, total_loss = 0.146108 \n", + " total_bbox = 1102899, rewritten_bbox = 2.668694 % \n", + "\n", + " 9938: 0.441860, 0.505887 avg loss, 0.000010 rate, 0.873843 seconds, 636032 images, 0.099185 hours left\n", + "Loaded: 1.607121 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771640, GIOU: 0.763007), Class: 0.999313, Obj: 0.652356, No Obj: 0.002436, .5R: 0.963636, .75R: 0.654545, count: 55, class_loss = 0.532471, iou_loss = 0.409702, total_loss = 0.942173 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791131, GIOU: 0.780963), Class: 0.998193, Obj: 0.564961, No Obj: 0.000100, .5R: 1.000000, .75R: 0.800000, count: 10, class_loss = 0.161608, iou_loss = 0.047762, total_loss = 0.209370 \n", + " total_bbox = 1102964, rewritten_bbox = 2.668537 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779450, GIOU: 0.770522), Class: 0.998624, Obj: 0.583628, No Obj: 0.001826, .5R: 1.000000, .75R: 0.608696, count: 46, class_loss = 0.712268, iou_loss = 0.298152, total_loss = 1.010420 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758734, GIOU: 0.754795), Class: 0.997475, Obj: 0.613321, No Obj: 0.000085, .5R: 0.857143, .75R: 0.857143, count: 7, class_loss = 0.070903, iou_loss = 0.088456, total_loss = 0.159359 \n", + " total_bbox = 1103017, rewritten_bbox = 2.668499 % \n", + "\n", + " 9939: 0.580330, 0.513331 avg loss, 0.000010 rate, 0.920029 seconds, 636096 images, 0.098628 hours left\n", + "Loaded: 1.441170 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787718, GIOU: 0.780194), Class: 0.999556, Obj: 0.620513, No Obj: 0.002008, .5R: 0.980392, .75R: 0.803922, count: 51, class_loss = 0.664873, iou_loss = 0.310631, total_loss = 0.975504 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782471, GIOU: 0.772250), Class: 0.995770, Obj: 0.410860, No Obj: 0.000075, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.185395, iou_loss = 0.083070, total_loss = 0.268465 \n", + " total_bbox = 1103078, rewritten_bbox = 2.668533 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787455, GIOU: 0.782416), Class: 0.999009, Obj: 0.705963, No Obj: 0.002535, .5R: 0.982143, .75R: 0.732143, count: 56, class_loss = 0.529016, iou_loss = 0.401842, total_loss = 0.930858 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.787791, GIOU: 0.782839), Class: 0.999771, Obj: 0.814706, No Obj: 0.000070, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.058127, iou_loss = 0.013793, total_loss = 0.071921 \n", + " total_bbox = 1103137, rewritten_bbox = 2.668481 % \n", + "\n", + " 9940: 0.561687, 0.518167 avg loss, 0.000010 rate, 0.905916 seconds, 636160 images, 0.098070 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.752966 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780398, GIOU: 0.772628), Class: 0.999485, Obj: 0.603306, No Obj: 0.001855, .5R: 1.000000, .75R: 0.722222, count: 54, class_loss = 0.654988, iou_loss = 0.399527, total_loss = 1.054514 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.578177, GIOU: 0.563460), Class: 0.991154, Obj: 0.265012, No Obj: 0.000038, .5R: 0.666667, .75R: 0.333333, count: 3, class_loss = 0.069920, iou_loss = 0.072535, total_loss = 0.142455 \n", + " total_bbox = 1103194, rewritten_bbox = 2.668615 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785168, GIOU: 0.779067), Class: 0.999195, Obj: 0.707679, No Obj: 0.002448, .5R: 1.000000, .75R: 0.641509, count: 53, class_loss = 0.565202, iou_loss = 0.303177, total_loss = 0.868378 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779179, GIOU: 0.772446), Class: 0.999605, Obj: 0.571730, No Obj: 0.000147, .5R: 1.000000, .75R: 0.461538, count: 13, class_loss = 0.188264, iou_loss = 0.066346, total_loss = 0.254610 \n", + " total_bbox = 1103260, rewritten_bbox = 2.668637 % \n", + "\n", + " 9941: 0.579989, 0.524349 avg loss, 0.000010 rate, 0.980689 seconds, 636224 images, 0.097481 hours left\n", + "Loaded: 1.812173 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760067, GIOU: 0.752391), Class: 0.998797, Obj: 0.610258, No Obj: 0.001682, .5R: 0.975610, .75R: 0.634146, count: 41, class_loss = 0.510406, iou_loss = 0.287002, total_loss = 0.797407 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756602, GIOU: 0.748716), Class: 0.998934, Obj: 0.428558, No Obj: 0.000070, .5R: 0.857143, .75R: 0.571429, count: 7, class_loss = 0.110091, iou_loss = 0.058622, total_loss = 0.168713 \n", + " total_bbox = 1103308, rewritten_bbox = 2.668611 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778734, GIOU: 0.773220), Class: 0.999390, Obj: 0.577147, No Obj: 0.001766, .5R: 0.976191, .75R: 0.690476, count: 42, class_loss = 0.546121, iou_loss = 0.379330, total_loss = 0.925451 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.774593, GIOU: 0.769970), Class: 0.996987, Obj: 0.472423, No Obj: 0.000067, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.148643, iou_loss = 0.059285, total_loss = 0.207927 \n", + " total_bbox = 1103359, rewritten_bbox = 2.668669 % \n", + "\n", + " 9942: 0.524875, 0.524402 avg loss, 0.000010 rate, 0.868155 seconds, 636288 images, 0.096955 hours left\n", + "Loaded: 1.794489 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.778604, GIOU: 0.771029), Class: 0.999409, Obj: 0.592755, No Obj: 0.001780, .5R: 0.978723, .75R: 0.680851, count: 47, class_loss = 0.556662, iou_loss = 0.330458, total_loss = 0.887120 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.787474, GIOU: 0.776493), Class: 0.999665, Obj: 0.331945, No Obj: 0.000026, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.060122, iou_loss = 0.018243, total_loss = 0.078365 \n", + " total_bbox = 1103409, rewritten_bbox = 2.668820 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790310, GIOU: 0.783977), Class: 0.999709, Obj: 0.797172, No Obj: 0.001975, .5R: 1.000000, .75R: 0.674419, count: 43, class_loss = 0.338755, iou_loss = 0.246147, total_loss = 0.584902 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721844, GIOU: 0.707722), Class: 0.991117, Obj: 0.507227, No Obj: 0.000144, .5R: 0.875000, .75R: 0.500000, count: 16, class_loss = 0.255350, iou_loss = 0.154770, total_loss = 0.410120 \n", + " total_bbox = 1103468, rewritten_bbox = 2.668949 % \n", + "\n", + " 9943: 0.490127, 0.520974 avg loss, 0.000010 rate, 0.974901 seconds, 636352 images, 0.096417 hours left\n", + "Loaded: 1.570327 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.791040, GIOU: 0.784597), Class: 0.999424, Obj: 0.568840, No Obj: 0.001788, .5R: 0.972222, .75R: 0.750000, count: 36, class_loss = 0.637813, iou_loss = 0.170639, total_loss = 0.808452 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.690255, GIOU: 0.672146), Class: 0.999109, Obj: 0.458990, No Obj: 0.000108, .5R: 0.928571, .75R: 0.285714, count: 14, class_loss = 0.193360, iou_loss = 0.184049, total_loss = 0.377409 \n", + " total_bbox = 1103518, rewritten_bbox = 2.668828 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780230, GIOU: 0.774853), Class: 0.998821, Obj: 0.680805, No Obj: 0.001660, .5R: 1.000000, .75R: 0.722222, count: 36, class_loss = 0.429975, iou_loss = 0.193079, total_loss = 0.623055 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.737137, GIOU: 0.731230), Class: 0.998821, Obj: 0.488523, No Obj: 0.000122, .5R: 0.944444, .75R: 0.555556, count: 18, class_loss = 0.231741, iou_loss = 0.124785, total_loss = 0.356526 \n", + " total_bbox = 1103572, rewritten_bbox = 2.668969 % \n", + "\n", + " 9944: 0.541360, 0.523013 avg loss, 0.000010 rate, 0.897631 seconds, 636416 images, 0.095892 hours left\n", + "Loaded: 1.475988 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.763623, GIOU: 0.752560), Class: 0.999230, Obj: 0.509063, No Obj: 0.001859, .5R: 0.957447, .75R: 0.638298, count: 47, class_loss = 0.879521, iou_loss = 0.382625, total_loss = 1.262146 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.808128, GIOU: 0.802720), Class: 0.999664, Obj: 0.486591, No Obj: 0.000055, .5R: 1.000000, .75R: 1.000000, count: 6, class_loss = 0.100691, iou_loss = 0.028034, total_loss = 0.128725 \n", + " total_bbox = 1103625, rewritten_bbox = 2.668932 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801931, GIOU: 0.797577), Class: 0.999320, Obj: 0.603847, No Obj: 0.001862, .5R: 0.977778, .75R: 0.800000, count: 45, class_loss = 0.509738, iou_loss = 0.239812, total_loss = 0.749551 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.840488, GIOU: 0.835370), Class: 0.999936, Obj: 0.634060, No Obj: 0.000064, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.060619, iou_loss = 0.009782, total_loss = 0.070401 \n", + " total_bbox = 1103674, rewritten_bbox = 2.668904 % \n", + "\n", + " 9945: 0.552706, 0.525982 avg loss, 0.000010 rate, 0.940285 seconds, 636480 images, 0.095317 hours left\n", + "Loaded: 1.698605 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793212, GIOU: 0.785891), Class: 0.998657, Obj: 0.639663, No Obj: 0.001920, .5R: 1.000000, .75R: 0.673913, count: 46, class_loss = 0.589273, iou_loss = 0.250419, total_loss = 0.839693 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806724, GIOU: 0.797477), Class: 0.999776, Obj: 0.656045, No Obj: 0.000113, .5R: 1.000000, .75R: 0.800000, count: 10, class_loss = 0.112134, iou_loss = 0.054944, total_loss = 0.167078 \n", + " total_bbox = 1103730, rewritten_bbox = 2.668769 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783501, GIOU: 0.776352), Class: 0.998797, Obj: 0.678685, No Obj: 0.002195, .5R: 1.000000, .75R: 0.680000, count: 50, class_loss = 0.458539, iou_loss = 0.273720, total_loss = 0.732259 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.687683, GIOU: 0.644955), Class: 0.997496, Obj: 0.729518, No Obj: 0.000071, .5R: 0.857143, .75R: 0.571429, count: 7, class_loss = 0.044727, iou_loss = 0.118224, total_loss = 0.162951 \n", + " total_bbox = 1103787, rewritten_bbox = 2.668721 % \n", + "\n", + " 9946: 0.475495, 0.520934 avg loss, 0.000010 rate, 0.983184 seconds, 636544 images, 0.094733 hours left\n", + "Loaded: 1.445388 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808370, GIOU: 0.802367), Class: 0.999221, Obj: 0.682134, No Obj: 0.001930, .5R: 0.975000, .75R: 0.800000, count: 40, class_loss = 0.340242, iou_loss = 0.222161, total_loss = 0.562403 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785801, GIOU: 0.772249), Class: 0.998768, Obj: 0.511553, No Obj: 0.000093, .5R: 1.000000, .75R: 0.700000, count: 10, class_loss = 0.127343, iou_loss = 0.051884, total_loss = 0.179227 \n", + " total_bbox = 1103837, rewritten_bbox = 2.668601 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779233, GIOU: 0.770773), Class: 0.999695, Obj: 0.600513, No Obj: 0.001633, .5R: 1.000000, .75R: 0.675000, count: 40, class_loss = 0.613229, iou_loss = 0.259071, total_loss = 0.872300 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767125, GIOU: 0.757367), Class: 0.998747, Obj: 0.530660, No Obj: 0.000169, .5R: 1.000000, .75R: 0.444444, count: 18, class_loss = 0.245772, iou_loss = 0.151452, total_loss = 0.397224 \n", + " total_bbox = 1103895, rewritten_bbox = 2.668551 % \n", + "\n", + " 9947: 0.502789, 0.519119 avg loss, 0.000010 rate, 0.981118 seconds, 636608 images, 0.094188 hours left\n", + "Loaded: 1.557261 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793066, GIOU: 0.783691), Class: 0.999781, Obj: 0.737877, No Obj: 0.001502, .5R: 0.972973, .75R: 0.783784, count: 37, class_loss = 0.294042, iou_loss = 0.218111, total_loss = 0.512153 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770449, GIOU: 0.757832), Class: 0.999682, Obj: 0.624448, No Obj: 0.000106, .5R: 1.000000, .75R: 0.777778, count: 9, class_loss = 0.158319, iou_loss = 0.062529, total_loss = 0.220849 \n", + " total_bbox = 1103941, rewritten_bbox = 2.668621 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.782397, GIOU: 0.775041), Class: 0.999520, Obj: 0.596431, No Obj: 0.002112, .5R: 0.981818, .75R: 0.654545, count: 55, class_loss = 0.729599, iou_loss = 0.380744, total_loss = 1.110342 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.751175, GIOU: 0.737676), Class: 0.999460, Obj: 0.606441, No Obj: 0.000127, .5R: 1.000000, .75R: 0.400000, count: 10, class_loss = 0.130821, iou_loss = 0.084561, total_loss = 0.215382 \n", + " total_bbox = 1104006, rewritten_bbox = 2.668554 % \n", + "\n", + " 9948: 0.514681, 0.518675 avg loss, 0.000010 rate, 0.973453 seconds, 636672 images, 0.093603 hours left\n", + "Loaded: 1.615519 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815451, GIOU: 0.812480), Class: 0.999407, Obj: 0.731953, No Obj: 0.002343, .5R: 1.000000, .75R: 0.877551, count: 49, class_loss = 0.378331, iou_loss = 0.242838, total_loss = 0.621169 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.693877, GIOU: 0.680248), Class: 0.997089, Obj: 0.417476, No Obj: 0.000057, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.098127, iou_loss = 0.054560, total_loss = 0.152687 \n", + " total_bbox = 1104061, rewritten_bbox = 2.668512 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794257, GIOU: 0.788742), Class: 0.999151, Obj: 0.600278, No Obj: 0.001771, .5R: 1.000000, .75R: 0.744681, count: 47, class_loss = 0.525403, iou_loss = 0.304924, total_loss = 0.830328 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.685252, GIOU: 0.648674), Class: 0.998751, Obj: 0.135435, No Obj: 0.000020, .5R: 0.666667, .75R: 0.666667, count: 3, class_loss = 0.074478, iou_loss = 0.040045, total_loss = 0.114523 \n", + " total_bbox = 1104111, rewritten_bbox = 2.668482 % \n", + "\n", + " 9949: 0.429677, 0.509775 avg loss, 0.000010 rate, 0.916163 seconds, 636736 images, 0.093033 hours left\n", + "Loaded: 1.932034 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768029, GIOU: 0.760329), Class: 0.999013, Obj: 0.600317, No Obj: 0.001739, .5R: 0.979592, .75R: 0.632653, count: 49, class_loss = 0.574600, iou_loss = 0.339489, total_loss = 0.914089 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791627, GIOU: 0.786059), Class: 0.999638, Obj: 0.371305, No Obj: 0.000062, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.105895, iou_loss = 0.036938, total_loss = 0.142833 \n", + " total_bbox = 1104165, rewritten_bbox = 2.668442 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.828278, GIOU: 0.825614), Class: 0.999256, Obj: 0.649530, No Obj: 0.002218, .5R: 1.000000, .75R: 0.851064, count: 47, class_loss = 0.566769, iou_loss = 0.200891, total_loss = 0.767659 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.734166, GIOU: 0.723461), Class: 0.999313, Obj: 0.514066, No Obj: 0.000093, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.146820, iou_loss = 0.080647, total_loss = 0.227467 \n", + " total_bbox = 1104222, rewritten_bbox = 2.668395 % \n", + "\n", + " 9950: 0.513012, 0.510099 avg loss, 0.000010 rate, 0.692770 seconds, 636800 images, 0.092461 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.510610 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792650, GIOU: 0.787083), Class: 0.999426, Obj: 0.659296, No Obj: 0.002222, .5R: 0.980769, .75R: 0.692308, count: 52, class_loss = 0.541589, iou_loss = 0.271601, total_loss = 0.813190 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716737, GIOU: 0.704996), Class: 0.999493, Obj: 0.305442, No Obj: 0.000053, .5R: 1.000000, .75R: 0.285714, count: 7, class_loss = 0.155110, iou_loss = 0.081840, total_loss = 0.236950 \n", + " total_bbox = 1104281, rewritten_bbox = 2.668524 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767941, GIOU: 0.757241), Class: 0.999157, Obj: 0.673181, No Obj: 0.002454, .5R: 0.984615, .75R: 0.615385, count: 65, class_loss = 0.617341, iou_loss = 0.579635, total_loss = 1.196976 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.779371, GIOU: 0.773456), Class: 0.999166, Obj: 0.452309, No Obj: 0.000066, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.099651, iou_loss = 0.017152, total_loss = 0.116803 \n", + " total_bbox = 1104350, rewritten_bbox = 2.668719 % \n", + "\n", + " 9951: 0.590980, 0.518187 avg loss, 0.000010 rate, 0.951689 seconds, 636864 images, 0.091903 hours left\n", + "Loaded: 1.475306 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773178, GIOU: 0.763495), Class: 0.999439, Obj: 0.654059, No Obj: 0.001744, .5R: 1.000000, .75R: 0.692308, count: 39, class_loss = 0.418699, iou_loss = 0.279469, total_loss = 0.698168 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761545, GIOU: 0.757549), Class: 0.998486, Obj: 0.425015, No Obj: 0.000062, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.074317, iou_loss = 0.038522, total_loss = 0.112839 \n", + " total_bbox = 1104394, rewritten_bbox = 2.668794 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776416, GIOU: 0.768499), Class: 0.998271, Obj: 0.575098, No Obj: 0.001786, .5R: 1.000000, .75R: 0.645833, count: 48, class_loss = 0.626202, iou_loss = 0.334675, total_loss = 0.960877 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.763210, GIOU: 0.751911), Class: 0.996121, Obj: 0.740415, No Obj: 0.000118, .5R: 0.888889, .75R: 0.888889, count: 9, class_loss = 0.072427, iou_loss = 0.053643, total_loss = 0.126069 \n", + " total_bbox = 1104451, rewritten_bbox = 2.668656 % \n", + "\n", + " 9952: 0.474488, 0.513817 avg loss, 0.000010 rate, 0.849484 seconds, 636928 images, 0.091319 hours left\n", + "Loaded: 1.793163 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780725, GIOU: 0.774742), Class: 0.999091, Obj: 0.505574, No Obj: 0.001767, .5R: 1.000000, .75R: 0.687500, count: 48, class_loss = 0.741799, iou_loss = 0.330166, total_loss = 1.071966 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.775093, GIOU: 0.769014), Class: 0.999717, Obj: 0.539609, No Obj: 0.000081, .5R: 1.000000, .75R: 0.500000, count: 8, class_loss = 0.096565, iou_loss = 0.050185, total_loss = 0.146750 \n", + " total_bbox = 1104507, rewritten_bbox = 2.668792 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813552, GIOU: 0.808569), Class: 0.999662, Obj: 0.718967, No Obj: 0.002934, .5R: 1.000000, .75R: 0.746269, count: 67, class_loss = 0.534743, iou_loss = 0.358662, total_loss = 0.893404 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.704483, GIOU: 0.660742), Class: 0.978841, Obj: 0.633654, No Obj: 0.000098, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.121514, iou_loss = 0.065907, total_loss = 0.187421 \n", + " total_bbox = 1104580, rewritten_bbox = 2.669069 % \n", + "\n", + " 9953: 0.574885, 0.519924 avg loss, 0.000010 rate, 0.960642 seconds, 636992 images, 0.090716 hours left\n", + "Loaded: 1.920226 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806633, GIOU: 0.799787), Class: 0.999530, Obj: 0.603968, No Obj: 0.002186, .5R: 0.981132, .75R: 0.735849, count: 53, class_loss = 0.626036, iou_loss = 0.312278, total_loss = 0.938314 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.615659, GIOU: 0.575741), Class: 0.997083, Obj: 0.117461, No Obj: 0.000029, .5R: 0.500000, .75R: 0.500000, count: 2, class_loss = 0.090621, iou_loss = 0.055853, total_loss = 0.146474 \n", + " total_bbox = 1104635, rewritten_bbox = 2.669026 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.761829, GIOU: 0.753307), Class: 0.999607, Obj: 0.614162, No Obj: 0.001522, .5R: 0.974359, .75R: 0.589744, count: 39, class_loss = 0.510901, iou_loss = 0.275441, total_loss = 0.786343 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794158, GIOU: 0.786556), Class: 0.999772, Obj: 0.640310, No Obj: 0.000109, .5R: 1.000000, .75R: 0.750000, count: 12, class_loss = 0.156298, iou_loss = 0.068871, total_loss = 0.225169 \n", + " total_bbox = 1104686, rewritten_bbox = 2.669175 % \n", + "\n", + " 9954: 0.524075, 0.520339 avg loss, 0.000010 rate, 0.862684 seconds, 637056 images, 0.090168 hours left\n", + "Loaded: 1.597206 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788505, GIOU: 0.782770), Class: 0.999061, Obj: 0.622376, No Obj: 0.002167, .5R: 0.981818, .75R: 0.727273, count: 55, class_loss = 0.618426, iou_loss = 0.356036, total_loss = 0.974461 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.773428, GIOU: 0.766812), Class: 0.999580, Obj: 0.687851, No Obj: 0.000096, .5R: 1.000000, .75R: 0.555556, count: 9, class_loss = 0.088846, iou_loss = 0.054330, total_loss = 0.143176 \n", + " total_bbox = 1104750, rewritten_bbox = 2.669382 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.812565, GIOU: 0.806319), Class: 0.999261, Obj: 0.719144, No Obj: 0.002900, .5R: 0.985507, .75R: 0.797101, count: 69, class_loss = 0.534236, iou_loss = 0.343944, total_loss = 0.878179 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.706437, GIOU: 0.682740), Class: 0.998804, Obj: 0.247658, No Obj: 0.000035, .5R: 1.000000, .75R: 0.000000, count: 1, class_loss = 0.054575, iou_loss = 0.016964, total_loss = 0.071539 \n", + " total_bbox = 1104820, rewritten_bbox = 2.669394 % \n", + "\n", + " 9955: 0.516839, 0.519989 avg loss, 0.000010 rate, 0.800128 seconds, 637120 images, 0.089622 hours left\n", + "Loaded: 1.881433 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775045, GIOU: 0.768549), Class: 0.999297, Obj: 0.604916, No Obj: 0.001943, .5R: 0.979167, .75R: 0.604167, count: 48, class_loss = 0.504230, iou_loss = 0.293044, total_loss = 0.797274 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.769529, GIOU: 0.768794), Class: 0.999619, Obj: 0.670108, No Obj: 0.000056, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.052626, iou_loss = 0.020930, total_loss = 0.073557 \n", + " total_bbox = 1104873, rewritten_bbox = 2.669266 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776175, GIOU: 0.769387), Class: 0.999463, Obj: 0.695498, No Obj: 0.001867, .5R: 1.000000, .75R: 0.697674, count: 43, class_loss = 0.429539, iou_loss = 0.288091, total_loss = 0.717630 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807703, GIOU: 0.802313), Class: 0.999794, Obj: 0.244594, No Obj: 0.000062, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.188174, iou_loss = 0.032590, total_loss = 0.220764 \n", + " total_bbox = 1104923, rewritten_bbox = 2.669236 % \n", + "\n", + " 9956: 0.452306, 0.513221 avg loss, 0.000010 rate, 0.948558 seconds, 637184 images, 0.089026 hours left\n", + "Loaded: 1.420373 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775533, GIOU: 0.765038), Class: 0.999393, Obj: 0.595584, No Obj: 0.001834, .5R: 0.948718, .75R: 0.692308, count: 39, class_loss = 0.538099, iou_loss = 0.324985, total_loss = 0.863084 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807421, GIOU: 0.798138), Class: 0.999659, Obj: 0.672630, No Obj: 0.000051, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.084274, iou_loss = 0.009791, total_loss = 0.094065 \n", + " total_bbox = 1104965, rewritten_bbox = 2.669134 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780912, GIOU: 0.772622), Class: 0.999249, Obj: 0.613894, No Obj: 0.002148, .5R: 0.956522, .75R: 0.739130, count: 46, class_loss = 0.540439, iou_loss = 0.310671, total_loss = 0.851110 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.611913, GIOU: 0.579225), Class: 0.988719, Obj: 0.269094, No Obj: 0.000036, .5R: 0.750000, .75R: 0.250000, count: 4, class_loss = 0.086667, iou_loss = 0.041806, total_loss = 0.128473 \n", + " total_bbox = 1105015, rewritten_bbox = 2.669194 % \n", + "\n", + " 9957: 0.484183, 0.510317 avg loss, 0.000010 rate, 0.912926 seconds, 637248 images, 0.088481 hours left\n", + "Loaded: 1.836061 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789270, GIOU: 0.780740), Class: 0.998971, Obj: 0.621143, No Obj: 0.002113, .5R: 1.000000, .75R: 0.693878, count: 49, class_loss = 0.601213, iou_loss = 0.301898, total_loss = 0.903111 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.684428, GIOU: 0.674165), Class: 0.997233, Obj: 0.323883, No Obj: 0.000047, .5R: 1.000000, .75R: 0.400000, count: 5, class_loss = 0.109434, iou_loss = 0.059626, total_loss = 0.169060 \n", + " total_bbox = 1105069, rewritten_bbox = 2.669064 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768878, GIOU: 0.759248), Class: 0.998239, Obj: 0.497567, No Obj: 0.001662, .5R: 1.000000, .75R: 0.680851, count: 47, class_loss = 0.770585, iou_loss = 0.329495, total_loss = 1.100080 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.801224, GIOU: 0.793779), Class: 0.999316, Obj: 0.564228, No Obj: 0.000061, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.067437, iou_loss = 0.024213, total_loss = 0.091651 \n", + " total_bbox = 1105121, rewritten_bbox = 2.669029 % \n", + "\n", + " 9958: 0.565975, 0.515883 avg loss, 0.000010 rate, 0.883492 seconds, 637312 images, 0.087875 hours left\n", + "Loaded: 1.527393 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769100, GIOU: 0.764431), Class: 0.998984, Obj: 0.613048, No Obj: 0.001721, .5R: 1.000000, .75R: 0.609756, count: 41, class_loss = 0.522790, iou_loss = 0.293041, total_loss = 0.815830 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.818236, GIOU: 0.809822), Class: 0.999993, Obj: 0.782835, No Obj: 0.000046, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.073792, iou_loss = 0.016428, total_loss = 0.090220 \n", + " total_bbox = 1105165, rewritten_bbox = 2.669013 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.756666, GIOU: 0.747038), Class: 0.999495, Obj: 0.635486, No Obj: 0.001819, .5R: 1.000000, .75R: 0.547619, count: 42, class_loss = 0.452388, iou_loss = 0.284597, total_loss = 0.736985 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.781165, GIOU: 0.771265), Class: 0.999346, Obj: 0.640581, No Obj: 0.000105, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.098137, iou_loss = 0.058132, total_loss = 0.156269 \n", + " total_bbox = 1105217, rewritten_bbox = 2.669069 % \n", + "\n", + " 9959: 0.449826, 0.509277 avg loss, 0.000010 rate, 0.732577 seconds, 637376 images, 0.087314 hours left\n", + "Loaded: 1.487310 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796734, GIOU: 0.790872), Class: 0.999440, Obj: 0.608780, No Obj: 0.001799, .5R: 0.976191, .75R: 0.809524, count: 42, class_loss = 0.543235, iou_loss = 0.246142, total_loss = 0.789377 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.715926, GIOU: 0.708106), Class: 0.998829, Obj: 0.202943, No Obj: 0.000061, .5R: 0.833333, .75R: 0.666667, count: 6, class_loss = 0.155726, iou_loss = 0.081968, total_loss = 0.237694 \n", + " total_bbox = 1105265, rewritten_bbox = 2.668953 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803129, GIOU: 0.797862), Class: 0.999350, Obj: 0.650662, No Obj: 0.002219, .5R: 1.000000, .75R: 0.793103, count: 58, class_loss = 0.535137, iou_loss = 0.314388, total_loss = 0.849524 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.810637, GIOU: 0.802709), Class: 0.999273, Obj: 0.373914, No Obj: 0.000074, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.106113, iou_loss = 0.019810, total_loss = 0.125923 \n", + " total_bbox = 1105327, rewritten_bbox = 2.668984 % \n", + "\n", + " 9960: 0.500630, 0.508412 avg loss, 0.000010 rate, 0.762630 seconds, 637440 images, 0.086699 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 2.128608 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.785870, GIOU: 0.778778), Class: 0.998623, Obj: 0.503003, No Obj: 0.001640, .5R: 0.976744, .75R: 0.697674, count: 43, class_loss = 0.733039, iou_loss = 0.301556, total_loss = 1.034594 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.772107, GIOU: 0.763972), Class: 0.999374, Obj: 0.643531, No Obj: 0.000088, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.080954, iou_loss = 0.048079, total_loss = 0.129034 \n", + " total_bbox = 1105378, rewritten_bbox = 2.668861 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.808845, GIOU: 0.804640), Class: 0.999660, Obj: 0.787248, No Obj: 0.001993, .5R: 0.978261, .75R: 0.804348, count: 46, class_loss = 0.265473, iou_loss = 0.174344, total_loss = 0.439816 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785876, GIOU: 0.775255), Class: 0.999759, Obj: 0.475654, No Obj: 0.000071, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.086502, iou_loss = 0.025291, total_loss = 0.111793 \n", + " total_bbox = 1105429, rewritten_bbox = 2.668828 % \n", + "\n", + " 9961: 0.428809, 0.500452 avg loss, 0.000010 rate, 0.898915 seconds, 637504 images, 0.086082 hours left\n", + "Loaded: 1.989173 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768265, GIOU: 0.760460), Class: 0.999471, Obj: 0.698002, No Obj: 0.002007, .5R: 1.000000, .75R: 0.698113, count: 53, class_loss = 0.487223, iou_loss = 0.347283, total_loss = 0.834506 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.696454, GIOU: 0.685214), Class: 0.999288, Obj: 0.292694, No Obj: 0.000061, .5R: 0.857143, .75R: 0.285714, count: 7, class_loss = 0.137943, iou_loss = 0.091753, total_loss = 0.229696 \n", + " total_bbox = 1105489, rewritten_bbox = 2.668774 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794134, GIOU: 0.787614), Class: 0.999058, Obj: 0.598913, No Obj: 0.002270, .5R: 1.000000, .75R: 0.791667, count: 48, class_loss = 0.570372, iou_loss = 0.252809, total_loss = 0.823181 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.710583, GIOU: 0.707626), Class: 0.999197, Obj: 0.631338, No Obj: 0.000064, .5R: 0.875000, .75R: 0.750000, count: 8, class_loss = 0.090277, iou_loss = 0.156249, total_loss = 0.246526 \n", + " total_bbox = 1105545, rewritten_bbox = 2.668638 % \n", + "\n", + " 9962: 0.533477, 0.503755 avg loss, 0.000010 rate, 0.839930 seconds, 637568 images, 0.085549 hours left\n", + "Loaded: 1.661007 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767262, GIOU: 0.758079), Class: 0.999401, Obj: 0.622655, No Obj: 0.002143, .5R: 0.982143, .75R: 0.642857, count: 56, class_loss = 0.593045, iou_loss = 0.428735, total_loss = 1.021780 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753350, GIOU: 0.743736), Class: 0.999235, Obj: 0.562515, No Obj: 0.000110, .5R: 1.000000, .75R: 0.500000, count: 12, class_loss = 0.138308, iou_loss = 0.074596, total_loss = 0.212904 \n", + " total_bbox = 1105613, rewritten_bbox = 2.668746 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776905, GIOU: 0.770918), Class: 0.998991, Obj: 0.555252, No Obj: 0.002419, .5R: 0.940298, .75R: 0.641791, count: 67, class_loss = 0.882753, iou_loss = 0.532954, total_loss = 1.415707 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.789181, GIOU: 0.782325), Class: 0.999549, Obj: 0.508243, No Obj: 0.000059, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.066718, iou_loss = 0.048277, total_loss = 0.114995 \n", + " total_bbox = 1105684, rewritten_bbox = 2.668574 % \n", + "\n", + " 9963: 0.691346, 0.522514 avg loss, 0.000010 rate, 0.851064 seconds, 637632 images, 0.084993 hours left\n", + "Loaded: 1.441964 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770047, GIOU: 0.760713), Class: 0.999486, Obj: 0.646201, No Obj: 0.001917, .5R: 0.978261, .75R: 0.652174, count: 46, class_loss = 0.529493, iou_loss = 0.268601, total_loss = 0.798094 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.746736, GIOU: 0.745573), Class: 0.998811, Obj: 0.495109, No Obj: 0.000052, .5R: 0.750000, .75R: 0.750000, count: 4, class_loss = 0.048030, iou_loss = 0.034683, total_loss = 0.082714 \n", + " total_bbox = 1105734, rewritten_bbox = 2.668544 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789580, GIOU: 0.782584), Class: 0.999519, Obj: 0.641325, No Obj: 0.002086, .5R: 1.000000, .75R: 0.720000, count: 50, class_loss = 0.628265, iou_loss = 0.297793, total_loss = 0.926059 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.839763, GIOU: 0.833708), Class: 0.997034, Obj: 0.473035, No Obj: 0.000043, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.050456, iou_loss = 0.008445, total_loss = 0.058901 \n", + " total_bbox = 1105787, rewritten_bbox = 2.668688 % \n", + "\n", + " 9964: 0.466442, 0.516907 avg loss, 0.000010 rate, 0.830208 seconds, 637696 images, 0.084401 hours left\n", + "Loaded: 1.913595 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.751364, GIOU: 0.740235), Class: 0.999627, Obj: 0.596921, No Obj: 0.001934, .5R: 0.944444, .75R: 0.592593, count: 54, class_loss = 0.701705, iou_loss = 0.572647, total_loss = 1.274352 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.716135, GIOU: 0.698092), Class: 0.999341, Obj: 0.577463, No Obj: 0.000080, .5R: 1.000000, .75R: 0.222222, count: 9, class_loss = 0.083040, iou_loss = 0.080102, total_loss = 0.163142 \n", + " total_bbox = 1105850, rewritten_bbox = 2.668716 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802563, GIOU: 0.797834), Class: 0.999379, Obj: 0.631237, No Obj: 0.002354, .5R: 1.000000, .75R: 0.745098, count: 51, class_loss = 0.574770, iou_loss = 0.246227, total_loss = 0.820997 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.767321, GIOU: 0.765541), Class: 0.981600, Obj: 0.592624, No Obj: 0.000034, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.033504, iou_loss = 0.016709, total_loss = 0.050213 \n", + " total_bbox = 1105904, rewritten_bbox = 2.668586 % \n", + "\n", + " 9965: 0.577176, 0.522934 avg loss, 0.000010 rate, 0.915546 seconds, 637760 images, 0.083784 hours left\n", + "Loaded: 1.371251 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780209, GIOU: 0.770553), Class: 0.999476, Obj: 0.715403, No Obj: 0.002234, .5R: 1.000000, .75R: 0.709091, count: 55, class_loss = 0.422496, iou_loss = 0.360306, total_loss = 0.782801 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.816050, GIOU: 0.804691), Class: 0.999823, Obj: 0.625836, No Obj: 0.000083, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.082392, iou_loss = 0.043148, total_loss = 0.125540 \n", + " total_bbox = 1105967, rewritten_bbox = 2.668615 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766100, GIOU: 0.758537), Class: 0.998863, Obj: 0.524183, No Obj: 0.001493, .5R: 0.955556, .75R: 0.666667, count: 45, class_loss = 0.618217, iou_loss = 0.314961, total_loss = 0.933179 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.758498, GIOU: 0.752160), Class: 0.999860, Obj: 0.465076, No Obj: 0.000064, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.094449, iou_loss = 0.044733, total_loss = 0.139183 \n", + " total_bbox = 1106017, rewritten_bbox = 2.668494 % \n", + "\n", + " 9966: 0.495176, 0.520158 avg loss, 0.000010 rate, 1.012328 seconds, 637824 images, 0.083222 hours left\n", + "Loaded: 1.600020 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767949, GIOU: 0.757692), Class: 0.999502, Obj: 0.713132, No Obj: 0.001988, .5R: 0.979592, .75R: 0.673469, count: 49, class_loss = 0.443990, iou_loss = 0.411914, total_loss = 0.855904 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791865, GIOU: 0.784162), Class: 0.999525, Obj: 0.762701, No Obj: 0.000069, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.037495, iou_loss = 0.027152, total_loss = 0.064646 \n", + " total_bbox = 1106071, rewritten_bbox = 2.668725 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.809407, GIOU: 0.802869), Class: 0.999531, Obj: 0.654288, No Obj: 0.002353, .5R: 1.000000, .75R: 0.766667, count: 60, class_loss = 0.662609, iou_loss = 0.280161, total_loss = 0.942770 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.753416, GIOU: 0.740226), Class: 0.999738, Obj: 0.627978, No Obj: 0.000108, .5R: 1.000000, .75R: 0.400000, count: 10, class_loss = 0.150416, iou_loss = 0.099526, total_loss = 0.249942 \n", + " total_bbox = 1106141, rewritten_bbox = 2.668828 % \n", + "\n", + " 9967: 0.528316, 0.520974 avg loss, 0.000010 rate, 1.024212 seconds, 637888 images, 0.082615 hours left\n", + "Loaded: 1.679842 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801689, GIOU: 0.793577), Class: 0.999058, Obj: 0.664275, No Obj: 0.002059, .5R: 1.000000, .75R: 0.750000, count: 44, class_loss = 0.524741, iou_loss = 0.223643, total_loss = 0.748384 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.000000, GIOU: 0.000000), Class: 0.000000, Obj: 0.000000, No Obj: 0.000021, .5R: 0.000000, .75R: 0.000000, count: 1, class_loss = 0.019827, iou_loss = 0.000000, total_loss = 0.019827 \n", + " total_bbox = 1106185, rewritten_bbox = 2.668903 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790741, GIOU: 0.782248), Class: 0.999569, Obj: 0.660559, No Obj: 0.002227, .5R: 1.000000, .75R: 0.750000, count: 56, class_loss = 0.716476, iou_loss = 0.262025, total_loss = 0.978501 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762118, GIOU: 0.754041), Class: 0.998535, Obj: 0.360321, No Obj: 0.000092, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.210338, iou_loss = 0.104059, total_loss = 0.314397 \n", + " total_bbox = 1106251, rewritten_bbox = 2.668834 % \n", + "\n", + " 9968: 0.515277, 0.520404 avg loss, 0.000010 rate, 1.058551 seconds, 637952 images, 0.082030 hours left\n", + "Loaded: 1.341041 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780164, GIOU: 0.771876), Class: 0.999129, Obj: 0.673311, No Obj: 0.001921, .5R: 1.000000, .75R: 0.680851, count: 47, class_loss = 0.406623, iou_loss = 0.272807, total_loss = 0.679430 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803496, GIOU: 0.794223), Class: 0.999797, Obj: 0.817079, No Obj: 0.000089, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.035817, iou_loss = 0.016855, total_loss = 0.052672 \n", + " total_bbox = 1106303, rewritten_bbox = 2.668708 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793941, GIOU: 0.787530), Class: 0.999320, Obj: 0.581575, No Obj: 0.002017, .5R: 1.000000, .75R: 0.765957, count: 47, class_loss = 0.581038, iou_loss = 0.312448, total_loss = 0.893486 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.807629, GIOU: 0.803163), Class: 0.997694, Obj: 0.493042, No Obj: 0.000056, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.050710, iou_loss = 0.021213, total_loss = 0.071923 \n", + " total_bbox = 1106354, rewritten_bbox = 2.668676 % \n", + "\n", + " 9969: 0.424378, 0.510801 avg loss, 0.000010 rate, 1.062350 seconds, 638016 images, 0.081453 hours left\n", + "Loaded: 1.639024 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.797040, GIOU: 0.790898), Class: 0.999237, Obj: 0.698265, No Obj: 0.002203, .5R: 1.000000, .75R: 0.714286, count: 56, class_loss = 0.452612, iou_loss = 0.329641, total_loss = 0.782253 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.768775, GIOU: 0.758642), Class: 0.997002, Obj: 0.633818, No Obj: 0.000037, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.025638, iou_loss = 0.018099, total_loss = 0.043737 \n", + " total_bbox = 1106413, rewritten_bbox = 2.668895 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.752470, GIOU: 0.743562), Class: 0.999497, Obj: 0.473986, No Obj: 0.001676, .5R: 0.978261, .75R: 0.434783, count: 46, class_loss = 0.737490, iou_loss = 0.350808, total_loss = 1.088297 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.797578, GIOU: 0.789266), Class: 0.999490, Obj: 0.218916, No Obj: 0.000049, .5R: 1.000000, .75R: 0.833333, count: 6, class_loss = 0.175724, iou_loss = 0.056562, total_loss = 0.232286 \n", + " total_bbox = 1106465, rewritten_bbox = 2.668860 % \n", + "\n", + " 9970: 0.536643, 0.513385 avg loss, 0.000010 rate, 0.900045 seconds, 638080 images, 0.080846 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.954525 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.760178, GIOU: 0.750600), Class: 0.998464, Obj: 0.527681, No Obj: 0.001778, .5R: 0.981818, .75R: 0.618182, count: 55, class_loss = 0.802473, iou_loss = 0.445575, total_loss = 1.248048 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.766345, GIOU: 0.756383), Class: 0.999628, Obj: 0.640235, No Obj: 0.000054, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.055661, iou_loss = 0.031390, total_loss = 0.087051 \n", + " total_bbox = 1106525, rewritten_bbox = 2.668986 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.767359, GIOU: 0.757930), Class: 0.998520, Obj: 0.675562, No Obj: 0.002049, .5R: 0.913043, .75R: 0.717391, count: 46, class_loss = 0.561020, iou_loss = 0.388558, total_loss = 0.949578 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754888, GIOU: 0.740832), Class: 0.997314, Obj: 0.576378, No Obj: 0.000097, .5R: 0.857143, .75R: 0.714286, count: 7, class_loss = 0.150450, iou_loss = 0.053207, total_loss = 0.203657 \n", + " total_bbox = 1106578, rewritten_bbox = 2.668858 % \n", + "\n", + " 9971: 0.622083, 0.524255 avg loss, 0.000010 rate, 0.981591 seconds, 638144 images, 0.080249 hours left\n", + "Loaded: 1.636286 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786120, GIOU: 0.777637), Class: 0.999354, Obj: 0.675330, No Obj: 0.002110, .5R: 0.979592, .75R: 0.714286, count: 49, class_loss = 0.574426, iou_loss = 0.361610, total_loss = 0.936036 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.806296, GIOU: 0.800956), Class: 0.999314, Obj: 0.335962, No Obj: 0.000049, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.184695, iou_loss = 0.036216, total_loss = 0.220912 \n", + " total_bbox = 1106635, rewritten_bbox = 2.668902 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.790850, GIOU: 0.784828), Class: 0.999043, Obj: 0.649546, No Obj: 0.002202, .5R: 1.000000, .75R: 0.687500, count: 48, class_loss = 0.432538, iou_loss = 0.291022, total_loss = 0.723560 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731127, GIOU: 0.723026), Class: 0.999692, Obj: 0.621910, No Obj: 0.000068, .5R: 1.000000, .75R: 0.428571, count: 7, class_loss = 0.083041, iou_loss = 0.045565, total_loss = 0.128606 \n", + " total_bbox = 1106690, rewritten_bbox = 2.668859 % \n", + "\n", + " 9972: 0.502278, 0.522058 avg loss, 0.000010 rate, 0.814435 seconds, 638208 images, 0.079683 hours left\n", + "Loaded: 1.650849 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.793393, GIOU: 0.782286), Class: 0.999297, Obj: 0.663067, No Obj: 0.002410, .5R: 0.981132, .75R: 0.773585, count: 53, class_loss = 0.559885, iou_loss = 0.360870, total_loss = 0.920755 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.678210, GIOU: 0.656880), Class: 0.989367, Obj: 0.263582, No Obj: 0.000052, .5R: 1.000000, .75R: 0.200000, count: 5, class_loss = 0.147015, iou_loss = 0.070628, total_loss = 0.217643 \n", + " total_bbox = 1106748, rewritten_bbox = 2.668810 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.773970, GIOU: 0.765363), Class: 0.999051, Obj: 0.577396, No Obj: 0.001945, .5R: 0.979167, .75R: 0.625000, count: 48, class_loss = 0.683569, iou_loss = 0.328967, total_loss = 1.012536 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.800208, GIOU: 0.792283), Class: 0.999517, Obj: 0.647934, No Obj: 0.000087, .5R: 1.000000, .75R: 0.857143, count: 7, class_loss = 0.098667, iou_loss = 0.036265, total_loss = 0.134932 \n", + " total_bbox = 1106803, rewritten_bbox = 2.668768 % \n", + "\n", + " 9973: 0.571466, 0.526998 avg loss, 0.000010 rate, 0.974255 seconds, 638272 images, 0.079077 hours left\n", + "Loaded: 1.798595 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.807311, GIOU: 0.800590), Class: 0.999005, Obj: 0.655005, No Obj: 0.002264, .5R: 1.000000, .75R: 0.750000, count: 52, class_loss = 0.526215, iou_loss = 0.296684, total_loss = 0.822899 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.788152, GIOU: 0.781803), Class: 0.999049, Obj: 0.615739, No Obj: 0.000065, .5R: 1.000000, .75R: 0.714286, count: 7, class_loss = 0.090790, iou_loss = 0.040940, total_loss = 0.131730 \n", + " total_bbox = 1106862, rewritten_bbox = 2.668716 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796613, GIOU: 0.790694), Class: 0.999547, Obj: 0.701158, No Obj: 0.002327, .5R: 1.000000, .75R: 0.698113, count: 53, class_loss = 0.498348, iou_loss = 0.268155, total_loss = 0.766503 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.771111, GIOU: 0.759257), Class: 0.999217, Obj: 0.624714, No Obj: 0.000050, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.048157, iou_loss = 0.025758, total_loss = 0.073914 \n", + " total_bbox = 1106919, rewritten_bbox = 2.668849 % \n", + "\n", + " 9974: 0.448762, 0.519175 avg loss, 0.000010 rate, 0.982613 seconds, 638336 images, 0.078484 hours left\n", + "Loaded: 1.851836 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780956, GIOU: 0.772657), Class: 0.999271, Obj: 0.586342, No Obj: 0.001821, .5R: 1.000000, .75R: 0.658537, count: 41, class_loss = 0.627268, iou_loss = 0.257562, total_loss = 0.884830 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.741888, GIOU: 0.737275), Class: 0.996718, Obj: 0.456262, No Obj: 0.000083, .5R: 1.000000, .75R: 0.500000, count: 10, class_loss = 0.164678, iou_loss = 0.057745, total_loss = 0.222423 \n", + " total_bbox = 1106970, rewritten_bbox = 2.668726 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786106, GIOU: 0.777398), Class: 0.998889, Obj: 0.655003, No Obj: 0.002654, .5R: 0.967742, .75R: 0.629032, count: 62, class_loss = 0.637524, iou_loss = 0.433591, total_loss = 1.071116 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.872887, GIOU: 0.870801), Class: 0.999974, Obj: 0.653268, No Obj: 0.000054, .5R: 1.000000, .75R: 1.000000, count: 2, class_loss = 0.040964, iou_loss = 0.003454, total_loss = 0.044418 \n", + " total_bbox = 1107034, rewritten_bbox = 2.668843 % \n", + "\n", + " 9975: 0.555697, 0.522827 avg loss, 0.000010 rate, 0.928134 seconds, 638400 images, 0.077900 hours left\n", + "Loaded: 1.894018 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.813408, GIOU: 0.807621), Class: 0.999629, Obj: 0.699522, No Obj: 0.002304, .5R: 1.000000, .75R: 0.804348, count: 46, class_loss = 0.366250, iou_loss = 0.201801, total_loss = 0.568051 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764746, GIOU: 0.756993), Class: 0.997507, Obj: 0.648590, No Obj: 0.000055, .5R: 1.000000, .75R: 0.666667, count: 6, class_loss = 0.054793, iou_loss = 0.057303, total_loss = 0.112096 \n", + " total_bbox = 1107086, rewritten_bbox = 2.668808 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.770847, GIOU: 0.761967), Class: 0.998436, Obj: 0.562109, No Obj: 0.001898, .5R: 1.000000, .75R: 0.640000, count: 50, class_loss = 0.640599, iou_loss = 0.362289, total_loss = 1.002887 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.703055, GIOU: 0.690464), Class: 0.998214, Obj: 0.681503, No Obj: 0.000071, .5R: 0.857143, .75R: 0.428571, count: 7, class_loss = 0.090883, iou_loss = 0.090265, total_loss = 0.181149 \n", + " total_bbox = 1107143, rewritten_bbox = 2.668851 % \n", + "\n", + " 9976: 0.466045, 0.517149 avg loss, 0.000010 rate, 0.949176 seconds, 638464 images, 0.077314 hours left\n", + "Loaded: 1.183750 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.768286, GIOU: 0.762092), Class: 0.999289, Obj: 0.579909, No Obj: 0.001573, .5R: 0.975000, .75R: 0.675000, count: 40, class_loss = 0.590087, iou_loss = 0.291044, total_loss = 0.881131 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.729598, GIOU: 0.718216), Class: 0.999297, Obj: 0.635102, No Obj: 0.000062, .5R: 1.000000, .75R: 0.200000, count: 5, class_loss = 0.062183, iou_loss = 0.049316, total_loss = 0.111498 \n", + " total_bbox = 1107188, rewritten_bbox = 2.668743 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.789832, GIOU: 0.782737), Class: 0.998748, Obj: 0.626778, No Obj: 0.002129, .5R: 1.000000, .75R: 0.734694, count: 49, class_loss = 0.534533, iou_loss = 0.288074, total_loss = 0.822608 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.676023, GIOU: 0.619372), Class: 0.995851, Obj: 0.482380, No Obj: 0.000113, .5R: 0.818182, .75R: 0.454545, count: 11, class_loss = 0.188290, iou_loss = 0.114132, total_loss = 0.302423 \n", + " total_bbox = 1107248, rewritten_bbox = 2.668689 % \n", + "\n", + " 9977: 0.529415, 0.518375 avg loss, 0.000010 rate, 1.025395 seconds, 638528 images, 0.076730 hours left\n", + "Loaded: 1.543176 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.801721, GIOU: 0.796291), Class: 0.999217, Obj: 0.687965, No Obj: 0.001963, .5R: 1.000000, .75R: 0.782609, count: 46, class_loss = 0.459481, iou_loss = 0.229510, total_loss = 0.688991 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.815288, GIOU: 0.808774), Class: 0.999886, Obj: 0.340868, No Obj: 0.000053, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.124618, iou_loss = 0.018397, total_loss = 0.143015 \n", + " total_bbox = 1107299, rewritten_bbox = 2.668656 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806486, GIOU: 0.800181), Class: 0.998948, Obj: 0.669617, No Obj: 0.001934, .5R: 1.000000, .75R: 0.836735, count: 49, class_loss = 0.518739, iou_loss = 0.253542, total_loss = 0.772281 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.784265, GIOU: 0.781144), Class: 0.999961, Obj: 0.644151, No Obj: 0.000025, .5R: 1.000000, .75R: 1.000000, count: 2, class_loss = 0.022366, iou_loss = 0.014009, total_loss = 0.036375 \n", + " total_bbox = 1107350, rewritten_bbox = 2.668714 % \n", + "\n", + " 9978: 0.410166, 0.507554 avg loss, 0.000010 rate, 0.970780 seconds, 638592 images, 0.076104 hours left\n", + "Loaded: 1.406704 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.788117, GIOU: 0.781241), Class: 0.999377, Obj: 0.604933, No Obj: 0.001367, .5R: 1.000000, .75R: 0.710526, count: 38, class_loss = 0.434542, iou_loss = 0.193973, total_loss = 0.628515 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.698366, GIOU: 0.674948), Class: 0.999930, Obj: 0.191902, No Obj: 0.000028, .5R: 1.000000, .75R: 0.000000, count: 2, class_loss = 0.046514, iou_loss = 0.015466, total_loss = 0.061980 \n", + " total_bbox = 1107390, rewritten_bbox = 2.668708 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776920, GIOU: 0.769417), Class: 0.998183, Obj: 0.572735, No Obj: 0.001607, .5R: 0.953488, .75R: 0.651163, count: 43, class_loss = 0.537437, iou_loss = 0.286424, total_loss = 0.823861 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.731069, GIOU: 0.720053), Class: 0.999112, Obj: 0.317970, No Obj: 0.000033, .5R: 1.000000, .75R: 0.400000, count: 5, class_loss = 0.105204, iou_loss = 0.044316, total_loss = 0.149520 \n", + " total_bbox = 1107438, rewritten_bbox = 2.668772 % \n", + "\n", + " 9979: 0.415969, 0.498396 avg loss, 0.000010 rate, 0.905541 seconds, 638656 images, 0.075496 hours left\n", + "Loaded: 1.826919 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.796519, GIOU: 0.789112), Class: 0.998393, Obj: 0.606763, No Obj: 0.002215, .5R: 1.000000, .75R: 0.711538, count: 52, class_loss = 0.634984, iou_loss = 0.303030, total_loss = 0.938014 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.792968, GIOU: 0.790000), Class: 0.999837, Obj: 0.753408, No Obj: 0.000065, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.048527, iou_loss = 0.016538, total_loss = 0.065066 \n", + " total_bbox = 1107494, rewritten_bbox = 2.668728 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.803312, GIOU: 0.796812), Class: 0.999058, Obj: 0.597167, No Obj: 0.002168, .5R: 1.000000, .75R: 0.735849, count: 53, class_loss = 0.594595, iou_loss = 0.328113, total_loss = 0.922709 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765793, GIOU: 0.758045), Class: 0.999761, Obj: 0.433680, No Obj: 0.000105, .5R: 1.000000, .75R: 0.615385, count: 13, class_loss = 0.198069, iou_loss = 0.096885, total_loss = 0.294954 \n", + " total_bbox = 1107560, rewritten_bbox = 2.668749 % \n", + "\n", + " 9980: 0.555186, 0.504075 avg loss, 0.000010 rate, 0.864336 seconds, 638720 images, 0.074877 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.583700 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798381, GIOU: 0.791637), Class: 0.999532, Obj: 0.527975, No Obj: 0.001328, .5R: 0.975000, .75R: 0.750000, count: 40, class_loss = 0.509616, iou_loss = 0.257215, total_loss = 0.766832 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.584295, GIOU: 0.523303), Class: 0.964306, Obj: 0.077951, No Obj: 0.000032, .5R: 0.666667, .75R: 0.666667, count: 3, class_loss = 0.103310, iou_loss = 0.060440, total_loss = 0.163750 \n", + " total_bbox = 1107603, rewritten_bbox = 2.668736 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798075, GIOU: 0.792357), Class: 0.999510, Obj: 0.801264, No Obj: 0.002218, .5R: 1.000000, .75R: 0.780000, count: 50, class_loss = 0.298605, iou_loss = 0.285375, total_loss = 0.583980 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.760369, GIOU: 0.745873), Class: 0.999669, Obj: 0.868838, No Obj: 0.000053, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.044294, iou_loss = 0.013834, total_loss = 0.058129 \n", + " total_bbox = 1107656, rewritten_bbox = 2.668969 % \n", + "\n", + " 9981: 0.393173, 0.492985 avg loss, 0.000010 rate, 0.950240 seconds, 638784 images, 0.074277 hours left\n", + "Loaded: 1.614776 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.800370, GIOU: 0.794654), Class: 0.998961, Obj: 0.633257, No Obj: 0.002085, .5R: 1.000000, .75R: 0.760000, count: 50, class_loss = 0.531369, iou_loss = 0.249937, total_loss = 0.781306 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.736388, GIOU: 0.730278), Class: 0.999571, Obj: 0.427928, No Obj: 0.000055, .5R: 1.000000, .75R: 0.428571, count: 7, class_loss = 0.110506, iou_loss = 0.063383, total_loss = 0.173890 \n", + " total_bbox = 1107713, rewritten_bbox = 2.669103 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780795, GIOU: 0.771416), Class: 0.999170, Obj: 0.633048, No Obj: 0.001832, .5R: 1.000000, .75R: 0.744681, count: 47, class_loss = 0.598233, iou_loss = 0.321764, total_loss = 0.919997 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.704464, GIOU: 0.693373), Class: 0.997977, Obj: 0.519872, No Obj: 0.000061, .5R: 1.000000, .75R: 0.285714, count: 7, class_loss = 0.080941, iou_loss = 0.069418, total_loss = 0.150359 \n", + " total_bbox = 1107767, rewritten_bbox = 2.669063 % \n", + "\n", + " 9982: 0.506388, 0.494325 avg loss, 0.000010 rate, 0.876355 seconds, 638848 images, 0.073668 hours left\n", + "Loaded: 1.534537 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.758668, GIOU: 0.751467), Class: 0.999774, Obj: 0.651826, No Obj: 0.001714, .5R: 1.000000, .75R: 0.613636, count: 44, class_loss = 0.540164, iou_loss = 0.341187, total_loss = 0.881352 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.697700, GIOU: 0.688977), Class: 0.999136, Obj: 0.493088, No Obj: 0.000140, .5R: 0.857143, .75R: 0.428571, count: 14, class_loss = 0.254402, iou_loss = 0.159425, total_loss = 0.413827 \n", + " total_bbox = 1107825, rewritten_bbox = 2.668923 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.780716, GIOU: 0.772668), Class: 0.999481, Obj: 0.642286, No Obj: 0.001643, .5R: 1.000000, .75R: 0.642857, count: 42, class_loss = 0.537176, iou_loss = 0.295238, total_loss = 0.832414 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.785868, GIOU: 0.781695), Class: 0.999789, Obj: 0.617814, No Obj: 0.000100, .5R: 1.000000, .75R: 0.750000, count: 8, class_loss = 0.097041, iou_loss = 0.072677, total_loss = 0.169718 \n", + " total_bbox = 1107875, rewritten_bbox = 2.668803 % \n", + "\n", + " 9983: 0.574328, 0.502325 avg loss, 0.000010 rate, 0.844741 seconds, 638912 images, 0.073056 hours left\n", + "Loaded: 1.549188 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.779259, GIOU: 0.773241), Class: 0.999338, Obj: 0.673747, No Obj: 0.001927, .5R: 1.000000, .75R: 0.659091, count: 44, class_loss = 0.444723, iou_loss = 0.293084, total_loss = 0.737807 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.308490, GIOU: 0.277379), Class: 0.989328, Obj: 0.077985, No Obj: 0.000022, .5R: 0.000000, .75R: 0.000000, count: 1, class_loss = 0.034663, iou_loss = 0.040651, total_loss = 0.075313 \n", + " total_bbox = 1107920, rewritten_bbox = 2.668694 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794491, GIOU: 0.789877), Class: 0.999549, Obj: 0.732276, No Obj: 0.001769, .5R: 0.973684, .75R: 0.763158, count: 38, class_loss = 0.372344, iou_loss = 0.239524, total_loss = 0.611869 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.764737, GIOU: 0.753542), Class: 0.999712, Obj: 0.456681, No Obj: 0.000095, .5R: 1.000000, .75R: 0.600000, count: 10, class_loss = 0.155159, iou_loss = 0.075457, total_loss = 0.230616 \n", + " total_bbox = 1107968, rewritten_bbox = 2.668579 % \n", + "\n", + " 9984: 0.413901, 0.493483 avg loss, 0.000010 rate, 0.800555 seconds, 638976 images, 0.072438 hours left\n", + "Loaded: 2.016282 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804402, GIOU: 0.799229), Class: 0.999241, Obj: 0.669695, No Obj: 0.002127, .5R: 1.000000, .75R: 0.725490, count: 51, class_loss = 0.543706, iou_loss = 0.274091, total_loss = 0.817797 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.765182, GIOU: 0.748915), Class: 0.998687, Obj: 0.500921, No Obj: 0.000073, .5R: 1.000000, .75R: 0.666667, count: 9, class_loss = 0.129729, iou_loss = 0.095969, total_loss = 0.225697 \n", + " total_bbox = 1108028, rewritten_bbox = 2.668525 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786142, GIOU: 0.777746), Class: 0.998769, Obj: 0.615359, No Obj: 0.002060, .5R: 0.980000, .75R: 0.720000, count: 50, class_loss = 0.595115, iou_loss = 0.325648, total_loss = 0.920763 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.762764, GIOU: 0.755886), Class: 0.987655, Obj: 0.509819, No Obj: 0.000054, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.092566, iou_loss = 0.041065, total_loss = 0.133631 \n", + " total_bbox = 1108084, rewritten_bbox = 2.668570 % \n", + "\n", + " 9985: 0.524472, 0.496582 avg loss, 0.000010 rate, 0.876266 seconds, 639040 images, 0.071818 hours left\n", + "Loaded: 1.766227 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.794097, GIOU: 0.786208), Class: 0.999119, Obj: 0.701566, No Obj: 0.002022, .5R: 1.000000, .75R: 0.695652, count: 46, class_loss = 0.406182, iou_loss = 0.290785, total_loss = 0.696967 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.782383, GIOU: 0.774182), Class: 0.999865, Obj: 0.337715, No Obj: 0.000095, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.228798, iou_loss = 0.060877, total_loss = 0.289675 \n", + " total_bbox = 1108141, rewritten_bbox = 2.668523 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772482, GIOU: 0.762575), Class: 0.999012, Obj: 0.686043, No Obj: 0.002321, .5R: 0.981132, .75R: 0.622642, count: 53, class_loss = 0.563618, iou_loss = 0.428208, total_loss = 0.991826 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.813005, GIOU: 0.805313), Class: 0.999674, Obj: 0.259395, No Obj: 0.000065, .5R: 1.000000, .75R: 0.875000, count: 8, class_loss = 0.210072, iou_loss = 0.034268, total_loss = 0.244340 \n", + " total_bbox = 1108202, rewritten_bbox = 2.668376 % \n", + "\n", + " 9986: 0.555702, 0.502494 avg loss, 0.000010 rate, 0.817648 seconds, 639104 images, 0.071220 hours left\n", + "Loaded: 1.751944 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.775020, GIOU: 0.766925), Class: 0.998953, Obj: 0.576259, No Obj: 0.001815, .5R: 1.000000, .75R: 0.641026, count: 39, class_loss = 0.594836, iou_loss = 0.294622, total_loss = 0.889458 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.841779, GIOU: 0.839391), Class: 0.999939, Obj: 0.648603, No Obj: 0.000046, .5R: 1.000000, .75R: 1.000000, count: 3, class_loss = 0.065309, iou_loss = 0.007770, total_loss = 0.073079 \n", + " total_bbox = 1108244, rewritten_bbox = 2.668275 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.783814, GIOU: 0.776855), Class: 0.997892, Obj: 0.624402, No Obj: 0.002112, .5R: 1.000000, .75R: 0.705882, count: 51, class_loss = 0.587388, iou_loss = 0.375989, total_loss = 0.963377 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.694842, GIOU: 0.671712), Class: 0.996482, Obj: 0.327328, No Obj: 0.000044, .5R: 0.833333, .75R: 0.500000, count: 6, class_loss = 0.118552, iou_loss = 0.060513, total_loss = 0.179065 \n", + " total_bbox = 1108301, rewritten_bbox = 2.668319 % \n", + "\n", + " 9987: 0.526245, 0.504869 avg loss, 0.000010 rate, 0.809893 seconds, 639168 images, 0.070609 hours left\n", + "Loaded: 1.693822 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.774448, GIOU: 0.765132), Class: 0.998745, Obj: 0.551316, No Obj: 0.001964, .5R: 1.000000, .75R: 0.660000, count: 50, class_loss = 0.708226, iou_loss = 0.383799, total_loss = 1.092024 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.794454, GIOU: 0.787682), Class: 0.999980, Obj: 0.620884, No Obj: 0.000058, .5R: 1.000000, .75R: 1.000000, count: 4, class_loss = 0.077113, iou_loss = 0.019966, total_loss = 0.097079 \n", + " total_bbox = 1108355, rewritten_bbox = 2.668188 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.769103, GIOU: 0.760316), Class: 0.998848, Obj: 0.663311, No Obj: 0.002069, .5R: 0.981132, .75R: 0.660377, count: 53, class_loss = 0.559313, iou_loss = 0.387821, total_loss = 0.947134 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.718225, GIOU: 0.704309), Class: 0.996297, Obj: 0.450763, No Obj: 0.000061, .5R: 1.000000, .75R: 0.333333, count: 6, class_loss = 0.097284, iou_loss = 0.045863, total_loss = 0.143147 \n", + " total_bbox = 1108414, rewritten_bbox = 2.668227 % \n", + "\n", + " 9988: 0.569846, 0.511367 avg loss, 0.000010 rate, 0.869985 seconds, 639232 images, 0.069995 hours left\n", + "Loaded: 1.683477 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.756644, GIOU: 0.748480), Class: 0.999170, Obj: 0.632158, No Obj: 0.002086, .5R: 0.959184, .75R: 0.571429, count: 49, class_loss = 0.566333, iou_loss = 0.358286, total_loss = 0.924619 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.704271, GIOU: 0.680491), Class: 0.995865, Obj: 0.397899, No Obj: 0.000069, .5R: 0.818182, .75R: 0.636364, count: 11, class_loss = 0.172625, iou_loss = 0.126783, total_loss = 0.299408 \n", + " total_bbox = 1108474, rewritten_bbox = 2.668082 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786717, GIOU: 0.778177), Class: 0.999398, Obj: 0.676299, No Obj: 0.002051, .5R: 0.979167, .75R: 0.687500, count: 48, class_loss = 0.508472, iou_loss = 0.293343, total_loss = 0.801815 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.748200, GIOU: 0.743662), Class: 0.997388, Obj: 0.270801, No Obj: 0.000042, .5R: 1.000000, .75R: 0.500000, count: 4, class_loss = 0.098622, iou_loss = 0.028268, total_loss = 0.126890 \n", + " total_bbox = 1108526, rewritten_bbox = 2.667957 % \n", + "\n", + " 9989: 0.538183, 0.514048 avg loss, 0.000010 rate, 0.878178 seconds, 639296 images, 0.069381 hours left\n", + "Loaded: 1.670944 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787088, GIOU: 0.778849), Class: 0.999516, Obj: 0.638119, No Obj: 0.001952, .5R: 0.980000, .75R: 0.720000, count: 50, class_loss = 0.526479, iou_loss = 0.298390, total_loss = 0.824870 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.631506, GIOU: 0.608584), Class: 0.993491, Obj: 0.631585, No Obj: 0.000074, .5R: 0.833333, .75R: 0.333333, count: 6, class_loss = 0.082954, iou_loss = 0.229988, total_loss = 0.312942 \n", + " total_bbox = 1108582, rewritten_bbox = 2.667913 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.762536, GIOU: 0.754689), Class: 0.999053, Obj: 0.608148, No Obj: 0.001751, .5R: 0.977273, .75R: 0.590909, count: 44, class_loss = 0.545130, iou_loss = 0.330239, total_loss = 0.875369 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.747757, GIOU: 0.737482), Class: 0.999803, Obj: 0.662887, No Obj: 0.000051, .5R: 1.000000, .75R: 0.500000, count: 6, class_loss = 0.043259, iou_loss = 0.036438, total_loss = 0.079697 \n", + " total_bbox = 1108632, rewritten_bbox = 2.667792 % \n", + "\n", + " 9990: 0.523219, 0.514965 avg loss, 0.000010 rate, 0.812741 seconds, 639360 images, 0.068765 hours left\n", + "Resizing, random_coef = 1.40 \n", + "\n", + " 608 x 608 \n", + " try to allocate additional workspace_size = 52.43 MB \n", + " CUDA allocate done! \n", + "Loaded: 1.632312 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792428, GIOU: 0.786629), Class: 0.998823, Obj: 0.566623, No Obj: 0.002045, .5R: 1.000000, .75R: 0.745098, count: 51, class_loss = 0.668618, iou_loss = 0.344095, total_loss = 1.012713 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.677441, GIOU: 0.648433), Class: 0.994814, Obj: 0.451074, No Obj: 0.000064, .5R: 1.000000, .75R: 0.000000, count: 5, class_loss = 0.124929, iou_loss = 0.068503, total_loss = 0.193432 \n", + " total_bbox = 1108688, rewritten_bbox = 2.667838 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787932, GIOU: 0.781146), Class: 0.999666, Obj: 0.713053, No Obj: 0.001816, .5R: 0.955556, .75R: 0.866667, count: 45, class_loss = 0.394307, iou_loss = 0.307168, total_loss = 0.701475 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.770995, GIOU: 0.760963), Class: 0.996566, Obj: 0.491881, No Obj: 0.000123, .5R: 1.000000, .75R: 0.666667, count: 15, class_loss = 0.276760, iou_loss = 0.118214, total_loss = 0.394974 \n", + " total_bbox = 1108748, rewritten_bbox = 2.667874 % \n", + "\n", + " 9991: 0.575649, 0.521034 avg loss, 0.000010 rate, 0.796149 seconds, 639424 images, 0.068146 hours left\n", + "Loaded: 1.910020 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.815277, GIOU: 0.809489), Class: 0.999259, Obj: 0.639255, No Obj: 0.001650, .5R: 1.000000, .75R: 0.790698, count: 43, class_loss = 0.485971, iou_loss = 0.197482, total_loss = 0.683454 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.754333, GIOU: 0.741050), Class: 0.999135, Obj: 0.550840, No Obj: 0.000105, .5R: 0.923077, .75R: 0.692308, count: 13, class_loss = 0.160720, iou_loss = 0.103936, total_loss = 0.264656 \n", + " total_bbox = 1108804, rewritten_bbox = 2.667739 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.804488, GIOU: 0.797298), Class: 0.998994, Obj: 0.723225, No Obj: 0.002512, .5R: 0.967213, .75R: 0.819672, count: 61, class_loss = 0.579012, iou_loss = 0.320026, total_loss = 0.899039 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.721833, GIOU: 0.705842), Class: 0.996952, Obj: 0.281942, No Obj: 0.000085, .5R: 0.888889, .75R: 0.444444, count: 9, class_loss = 0.189458, iou_loss = 0.093016, total_loss = 0.282474 \n", + " total_bbox = 1108874, rewritten_bbox = 2.667751 % \n", + "\n", + " 9992: 0.532406, 0.522171 avg loss, 0.000010 rate, 1.018425 seconds, 639488 images, 0.067526 hours left\n", + "Loaded: 1.755557 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806100, GIOU: 0.798461), Class: 0.999796, Obj: 0.830383, No Obj: 0.001645, .5R: 1.000000, .75R: 0.750000, count: 40, class_loss = 0.170915, iou_loss = 0.213413, total_loss = 0.384328 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.796955, GIOU: 0.790136), Class: 0.999688, Obj: 0.678162, No Obj: 0.000101, .5R: 1.000000, .75R: 0.727273, count: 11, class_loss = 0.068250, iou_loss = 0.052611, total_loss = 0.120862 \n", + " total_bbox = 1108925, rewritten_bbox = 2.667809 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.776149, GIOU: 0.766354), Class: 0.999616, Obj: 0.701543, No Obj: 0.002152, .5R: 0.981132, .75R: 0.716981, count: 53, class_loss = 0.509337, iou_loss = 0.361682, total_loss = 0.871019 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.727062, GIOU: 0.712831), Class: 0.999531, Obj: 0.308466, No Obj: 0.000056, .5R: 1.000000, .75R: 0.333333, count: 6, class_loss = 0.157391, iou_loss = 0.058959, total_loss = 0.216349 \n", + " total_bbox = 1108984, rewritten_bbox = 2.667938 % \n", + "\n", + " 9993: 0.398139, 0.509768 avg loss, 0.000010 rate, 1.017431 seconds, 639552 images, 0.066916 hours left\n", + "Loaded: 1.292497 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.784830, GIOU: 0.776554), Class: 0.999165, Obj: 0.618330, No Obj: 0.002506, .5R: 0.984615, .75R: 0.707692, count: 65, class_loss = 0.917366, iou_loss = 0.392614, total_loss = 1.309981 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.691488, GIOU: 0.672749), Class: 0.997512, Obj: 0.370901, No Obj: 0.000087, .5R: 1.000000, .75R: 0.125000, count: 8, class_loss = 0.185662, iou_loss = 0.122297, total_loss = 0.307958 \n", + " total_bbox = 1109057, rewritten_bbox = 2.668032 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787717, GIOU: 0.777652), Class: 0.999387, Obj: 0.688151, No Obj: 0.002455, .5R: 1.000000, .75R: 0.709091, count: 55, class_loss = 0.443881, iou_loss = 0.282433, total_loss = 0.726315 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.790062, GIOU: 0.780978), Class: 0.996212, Obj: 0.182101, No Obj: 0.000051, .5R: 1.000000, .75R: 0.600000, count: 5, class_loss = 0.155522, iou_loss = 0.023590, total_loss = 0.179112 \n", + " total_bbox = 1109117, rewritten_bbox = 2.668068 % \n", + "\n", + " 9994: 0.630841, 0.521875 avg loss, 0.000010 rate, 0.894671 seconds, 639616 images, 0.066301 hours left\n", + "Loaded: 1.759667 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.806489, GIOU: 0.801645), Class: 0.998838, Obj: 0.662274, No Obj: 0.001992, .5R: 1.000000, .75R: 0.809524, count: 42, class_loss = 0.493270, iou_loss = 0.193257, total_loss = 0.686528 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.739251, GIOU: 0.719674), Class: 0.998261, Obj: 0.412794, No Obj: 0.000059, .5R: 0.875000, .75R: 0.875000, count: 8, class_loss = 0.146257, iou_loss = 0.067984, total_loss = 0.214241 \n", + " total_bbox = 1109167, rewritten_bbox = 2.667948 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.766559, GIOU: 0.759935), Class: 0.999323, Obj: 0.594307, No Obj: 0.001751, .5R: 0.976191, .75R: 0.619048, count: 42, class_loss = 0.473384, iou_loss = 0.322115, total_loss = 0.795499 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.816866, GIOU: 0.808023), Class: 0.999872, Obj: 0.453944, No Obj: 0.000049, .5R: 1.000000, .75R: 1.000000, count: 4, class_loss = 0.064375, iou_loss = 0.014772, total_loss = 0.079148 \n", + " total_bbox = 1109213, rewritten_bbox = 2.667928 % \n", + "\n", + " 9995: 0.443854, 0.514073 avg loss, 0.000010 rate, 0.834212 seconds, 639680 images, 0.065674 hours left\n", + "Loaded: 1.669720 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786284, GIOU: 0.776518), Class: 0.999195, Obj: 0.687395, No Obj: 0.002141, .5R: 0.962963, .75R: 0.722222, count: 54, class_loss = 0.445411, iou_loss = 0.350844, total_loss = 0.796255 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.816342, GIOU: 0.811665), Class: 0.999801, Obj: 0.527592, No Obj: 0.000071, .5R: 1.000000, .75R: 1.000000, count: 5, class_loss = 0.051798, iou_loss = 0.017400, total_loss = 0.069198 \n", + " total_bbox = 1109272, rewritten_bbox = 2.667876 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.787082, GIOU: 0.779157), Class: 0.999239, Obj: 0.577102, No Obj: 0.001917, .5R: 1.000000, .75R: 0.705882, count: 51, class_loss = 0.657374, iou_loss = 0.375735, total_loss = 1.033109 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.684762, GIOU: 0.663503), Class: 0.999985, Obj: 0.431900, No Obj: 0.000036, .5R: 1.000000, .75R: 0.000000, count: 1, class_loss = 0.040764, iou_loss = 0.016995, total_loss = 0.057759 \n", + " total_bbox = 1109324, rewritten_bbox = 2.667931 % \n", + "\n", + " 9996: 0.489080, 0.511574 avg loss, 0.000010 rate, 0.916015 seconds, 639744 images, 0.065053 hours left\n", + "Loaded: 1.758927 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.798934, GIOU: 0.792868), Class: 0.999658, Obj: 0.693118, No Obj: 0.002529, .5R: 0.983871, .75R: 0.741935, count: 62, class_loss = 0.627641, iou_loss = 0.312139, total_loss = 0.939781 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.793388, GIOU: 0.781141), Class: 0.999576, Obj: 0.479138, No Obj: 0.000108, .5R: 1.000000, .75R: 0.625000, count: 8, class_loss = 0.161803, iou_loss = 0.043201, total_loss = 0.205004 \n", + " total_bbox = 1109394, rewritten_bbox = 2.667853 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.802742, GIOU: 0.796210), Class: 0.999485, Obj: 0.733868, No Obj: 0.002464, .5R: 1.000000, .75R: 0.754717, count: 53, class_loss = 0.439167, iou_loss = 0.296775, total_loss = 0.735941 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.803975, GIOU: 0.789924), Class: 0.999718, Obj: 0.835657, No Obj: 0.000042, .5R: 1.000000, .75R: 0.666667, count: 3, class_loss = 0.010930, iou_loss = 0.014031, total_loss = 0.024960 \n", + " total_bbox = 1109450, rewritten_bbox = 2.667898 % \n", + "\n", + " 9997: 0.476421, 0.508058 avg loss, 0.000010 rate, 0.789537 seconds, 639808 images, 0.064431 hours left\n", + "Loaded: 1.566550 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.817353, GIOU: 0.812256), Class: 0.999500, Obj: 0.601425, No Obj: 0.001924, .5R: 1.000000, .75R: 0.840909, count: 44, class_loss = 0.559031, iou_loss = 0.204954, total_loss = 0.763984 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.756827, GIOU: 0.750278), Class: 0.999846, Obj: 0.712522, No Obj: 0.000077, .5R: 1.000000, .75R: 0.750000, count: 4, class_loss = 0.085474, iou_loss = 0.030190, total_loss = 0.115664 \n", + " total_bbox = 1109498, rewritten_bbox = 2.667783 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.771378, GIOU: 0.762788), Class: 0.999487, Obj: 0.621430, No Obj: 0.001901, .5R: 0.958333, .75R: 0.729167, count: 48, class_loss = 0.529863, iou_loss = 0.335745, total_loss = 0.865608 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.791582, GIOU: 0.789141), Class: 0.999679, Obj: 0.258038, No Obj: 0.000079, .5R: 1.000000, .75R: 0.571429, count: 7, class_loss = 0.167409, iou_loss = 0.034840, total_loss = 0.202250 \n", + " total_bbox = 1109553, rewritten_bbox = 2.667831 % \n", + "\n", + " 9998: 0.486877, 0.505940 avg loss, 0.000010 rate, 0.823715 seconds, 639872 images, 0.063808 hours left\n", + "Loaded: 1.801028 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.786467, GIOU: 0.778834), Class: 0.999490, Obj: 0.722363, No Obj: 0.002468, .5R: 1.000000, .75R: 0.718750, count: 64, class_loss = 0.484847, iou_loss = 0.400114, total_loss = 0.884961 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.624300, GIOU: 0.610398), Class: 0.998938, Obj: 0.332005, No Obj: 0.000050, .5R: 0.800000, .75R: 0.400000, count: 5, class_loss = 0.111830, iou_loss = 0.095450, total_loss = 0.207280 \n", + " total_bbox = 1109622, rewritten_bbox = 2.667845 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.824839, GIOU: 0.821481), Class: 0.999606, Obj: 0.769744, No Obj: 0.002090, .5R: 1.000000, .75R: 0.928571, count: 42, class_loss = 0.302891, iou_loss = 0.139006, total_loss = 0.441897 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.790199, GIOU: 0.785642), Class: 0.999558, Obj: 0.638100, No Obj: 0.000062, .5R: 1.000000, .75R: 0.800000, count: 5, class_loss = 0.043590, iou_loss = 0.025626, total_loss = 0.069216 \n", + " total_bbox = 1109669, rewritten_bbox = 2.667823 % \n", + "\n", + " 9999: 0.400838, 0.495430 avg loss, 0.000010 rate, 0.877172 seconds, 639936 images, 0.063184 hours left\n", + "Loaded: 0.896997 seconds - performance bottleneck on CPU or Disk HDD/SSD\n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.792283, GIOU: 0.788668), Class: 0.999654, Obj: 0.749508, No Obj: 0.001799, .5R: 1.000000, .75R: 0.722222, count: 36, class_loss = 0.263795, iou_loss = 0.206330, total_loss = 0.470126 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.761025, GIOU: 0.751856), Class: 0.999347, Obj: 0.545562, No Obj: 0.000104, .5R: 1.000000, .75R: 0.416667, count: 12, class_loss = 0.154484, iou_loss = 0.076107, total_loss = 0.230592 \n", + " total_bbox = 1109717, rewritten_bbox = 2.667707 % \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 16 Avg (IOU: 0.772747, GIOU: 0.763229), Class: 0.999311, Obj: 0.639035, No Obj: 0.002301, .5R: 0.964912, .75R: 0.649123, count: 57, class_loss = 0.617471, iou_loss = 0.389214, total_loss = 1.006685 \n", + "v3 (mse loss, Normalizer: (iou: 0.75, cls: 1.00) Region 23 Avg (IOU: 0.711567, GIOU: 0.706072), Class: 0.997548, Obj: 0.393094, No Obj: 0.000066, .5R: 0.875000, .75R: 0.500000, count: 8, class_loss = 0.122778, iou_loss = 0.082316, total_loss = 0.205095 \n", + " total_bbox = 1109782, rewritten_bbox = 2.667641 % \n", + "\n", + " 10000: 0.478124, 0.493700 avg loss, 0.000010 rate, 0.947155 seconds, 640000 images, 0.062559 hours left\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_10000.weights\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_last.weights\n", + "Saving weights to /content/darknet/backup//yolov3-tiny-custom_final.weights\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Ij0N1ZSyMsee", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "ec1c36c4-5993-441d-bd01-ead88fbd1b03" + }, + "source": [ + "# testing local image\n", + "!./darknet detect cfg/yolov3-tiny-custom.cfg yolov3-tiny-custom_5000.weights \"image7.jpg\" -dont-show\n", + "imShow('predictions.jpg')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + " CUDA-version: 10010 (10010), cuDNN: 7.6.5, GPU count: 1 \n", + " OpenCV version: 3.2.0\n", + " 0 : compute_capability = 370, cudnn_half = 0, GPU: Tesla K80 \n", + "net.optimized_memory = 0 \n", + "mini_batch = 1, batch = 2, time_steps = 1, train = 0 \n", + " layer filters size/strd(dil) input output\n", + " 0 conv 16 3 x 3/ 1 416 x 416 x 3 -> 416 x 416 x 16 0.150 BF\n", + " 1 max 2x 2/ 2 416 x 416 x 16 -> 208 x 208 x 16 0.003 BF\n", + " 2 conv 32 3 x 3/ 1 208 x 208 x 16 -> 208 x 208 x 32 0.399 BF\n", + " 3 max 2x 2/ 2 208 x 208 x 32 -> 104 x 104 x 32 0.001 BF\n", + " 4 conv 64 3 x 3/ 1 104 x 104 x 32 -> 104 x 104 x 64 0.399 BF\n", + " 5 max 2x 2/ 2 104 x 104 x 64 -> 52 x 52 x 64 0.001 BF\n", + " 6 conv 128 3 x 3/ 1 52 x 52 x 64 -> 52 x 52 x 128 0.399 BF\n", + " 7 max 2x 2/ 2 52 x 52 x 128 -> 26 x 26 x 128 0.000 BF\n", + " 8 conv 256 3 x 3/ 1 26 x 26 x 128 -> 26 x 26 x 256 0.399 BF\n", + " 9 max 2x 2/ 2 26 x 26 x 256 -> 13 x 13 x 256 0.000 BF\n", + " 10 conv 512 3 x 3/ 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BF\n", + " 11 max 2x 2/ 1 13 x 13 x 512 -> 13 x 13 x 512 0.000 BF\n", + " 12 conv 1024 3 x 3/ 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BF\n", + " 13 conv 256 1 x 1/ 1 13 x 13 x1024 -> 13 x 13 x 256 0.089 BF\n", + " 14 conv 512 3 x 3/ 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BF\n", + " 15 conv 18 1 x 1/ 1 13 x 13 x 512 -> 13 x 13 x 18 0.003 BF\n", + " 16 yolo\n", + "[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00\n", + " 17 route 13 \t\t -> 13 x 13 x 256 \n", + " 18 conv 128 1 x 1/ 1 13 x 13 x 256 -> 13 x 13 x 128 0.011 BF\n", + " 19 upsample 2x 13 x 13 x 128 -> 26 x 26 x 128\n", + " 20 route 19 8 \t -> 26 x 26 x 384 \n", + " 21 conv 256 3 x 3/ 1 26 x 26 x 384 -> 26 x 26 x 256 1.196 BF\n", + " 22 conv 18 1 x 1/ 1 26 x 26 x 256 -> 26 x 26 x 18 0.006 BF\n", + " 23 yolo\n", + "[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00\n", + "Total BFLOPS 5.448 \n", + "avg_outputs = 324846 \n", + " Allocate additional workspace_size = 12.46 MB \n", + "Loading weights from yolov3-tiny-custom_5000.weights...\n", + " seen 64, trained: 320 K-images (5 Kilo-batches_64) \n", + "Done! Loaded 24 layers from weights-file \n", + "image7.jpg: Predicted in 12.113000 milli-seconds.\n", + "Unable to init server: Could not connect: Connection refused\n", + "\n", + "(predictions:1802): Gtk-\u001b[1;33mWARNING\u001b[0m **: \u001b[34m19:08:07.272\u001b[0m: cannot open display: \n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + } + ] +} \ No newline at end of file diff --git a/server/index.js b/server/index.js index 92f8d56..e9f40b2 100644 --- a/server/index.js +++ b/server/index.js @@ -3,6 +3,7 @@ const app = express(); const students = [ { id: "28-09121", name: "Omar Sherif", github_username: "osheriff", email: "omarr@whatever.com" }, + { id: "40-19169", name: "Ahmed Alaa eldin seif eldin", github_username: "ahmedalaaseif", email: "ahmedalaamanutd@gmail.com" }, { id: "21-094123", name: "Mathew White", github_username: "matheww", email: "matheww@whatever.com" }, { id: "15-10312", name: "Dom Sundle", github_username: "domss", email: "domss.whatever.com" }, { id: "7223", name: "Gehad Ismail", github_username: "Gehad93", email: "gehad.ismail@guc.edu.eg" }