🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
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Updated
Jun 22, 2024 - C++
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
Light-weight Single Person Pose Estimator
This repository contains the source code of our work on designing efficient CNNs for computer vision
face image illumination quality assessment implement by pytorch
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Implementation of ShuffleNetV2 for pytorch
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
Multi-backbone, Prune, Quantization, KD
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
Tensorflow ShuffleNet v2 implementation
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2
A PyTorch Implementation of ShuffleFaceNet.
implement the shufflenetv2, and test the performance
a tensorflow based implementation of ShuffleNetV2 on the Tiny ImageNet dataset
ShuffleNet_V2 for ncnn framework
Implementation of MobileNet, MobileNetv2, ShuffleNet, ShuffleNetv2, EfficientNet in Pytorch.
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
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