forked from NEU-REAL/PPG-SLAM
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtrainBow.cpp
More file actions
189 lines (177 loc) · 8.96 KB
/
Copy pathtrainBow.cpp
File metadata and controls
189 lines (177 loc) · 8.96 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
#include <ctime>
#include <iostream>
#include <unistd.h>
#include <fstream>
#include <chrono>
#include <opencv2/opencv.hpp>
#include "feature/include/PPGExtractor.h"
#include "sensors/include/GeometricCamera.h"
#include "sensors/include/Pinhole.h"
#include "DBoW3/DBoW3.h"
std::vector<cv::Mat> getFeatures(PPGExtractor *pExt, std::string dataPath, int n = 1e6)
{
std::vector<cv::Mat> features;
std::ifstream imgFile(dataPath + "/mav0/cam0/data.csv", std::ifstream::in);
std::string str_line, str_ts, str_path;
getline(imgFile, str_line);
cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(3.0, cv::Size(8, 8));
while (!imgFile.eof())
{
getline(imgFile, str_line);
if(str_line.empty())
break;
std::size_t pos = str_line.find(",", 0);
str_ts = str_line.substr(0, pos);
std::string imgPath = dataPath + "/mav0/cam0/data/" + str_ts + ".png";
cv::Mat image = cv::imread(imgPath, 0);
if (image.empty() || n-- < 0)
break;
if(n%4 != 0)
continue;
clahe->apply(image, image);
cv::Mat mPointDesc;
std::vector<KeyPointEx> keyPoints, keyPointsUn;
std::vector<KeyEdge> keyEdges;
pExt->run(image, keyPoints,keyPointsUn, keyEdges, mPointDesc);
features.push_back(mPointDesc.clone());
std::cerr<<imgPath << ":"<<keyPoints.size()<<std::endl;
cv::Mat showMat;
cv::cvtColor(image,showMat, cv::COLOR_GRAY2BGR);
for(KeyPointEx kp : keyPoints)
cv::circle(showMat, cv::Point(kp.mPos[0],kp.mPos[1]),2, cv::Scalar(0,255,0), -1);
cv::imshow("aaa", showMat);
cv::waitKey(10);
}
std::cerr << dataPath << " size " << features.size() << std::endl;
return features;
}
int main()
{
cv::FileStorage fsSettings("config/EuRoC.yaml", cv::FileStorage::READ);
int width = fsSettings["Camera.width"].operator int();
int height = fsSettings["Camera.height"].operator int();
float fps = fsSettings["Camera.fps"].real();
GeometricCamera* pCam;
std::vector<float> vCalibration(8,0);
vCalibration[0] = fsSettings["Camera.fx"].real();
vCalibration[1] = fsSettings["Camera.fy"].real();
vCalibration[2] = fsSettings["Camera.cx"].real();
vCalibration[3] = fsSettings["Camera.cy"].real();
vCalibration[4] = fsSettings["Camera.k1"].real();
vCalibration[5] = fsSettings["Camera.k2"].real();
vCalibration[6] = fsSettings["Camera.p1"].real();
vCalibration[7] = fsSettings["Camera.p2"].real();
pCam = new Pinhole(vCalibration, width, height, fps);
PPGExtractor ext(pCam, "net");
// std::vector<cv::Mat> featureMag1 = getFeatures(&ext, "/home/z/Datasets/euroc/MH_01_easy");
// std::vector<cv::Mat> featureMag2 = getFeatures(&ext, "/home/z/Datasets/euroc/MH_02_easy");
// std::vector<cv::Mat> featureMag3 = getFeatures(&ext, "/home/z/Datasets/euroc/MH_03_medium");
std::vector<cv::Mat> featureMag4 = getFeatures(&ext, "/home/z/Datasets/euroc/MH_04_difficult");
// std::vector<cv::Mat> featureMag5 = getFeatures(&ext, "/home/z/Datasets/euroc/MH_05_difficult");
// std::vector<cv::Mat> featureMag1 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale1_512_16");
// std::vector<cv::Mat> featureMag2 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale2_512_16");
// std::vector<cv::Mat> featureMag3 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale3_512_16");
// std::vector<cv::Mat> featureMag4 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale4_512_16");
// std::vector<cv::Mat> featureMag5 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale5_512_16");
// std::vector<cv::Mat> featureMag6 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale5_512_16");
std::vector<cv::Mat> allfeatures;
allfeatures.insert(allfeatures.end(), featureMag4.begin(), featureMag4.end());
// allfeatures.insert(allfeatures.end(), featureMag5.begin(), featureMag5.end());
// allfeatures.insert(allfeatures.end(), featureMag3.begin(), featureMag3.end());
// allfeatures.insert(allfeatures.end(), featureMag4.begin(), featureMag4.end());
// allfeatures.insert(allfeatures.end(), featureMag5.begin(), featureMag5.end());
// allfeatures.insert(allfeatures.end(), featureMag6.begin(), featureMag6.end());
{
DBoW3::Vocabulary voc1(20, 3, DBoW3::TF_IDF, DBoW3::L2_NORM);
std::cerr << "start" << std::endl;
std::chrono::time_point<std::chrono::system_clock> t1 = std::chrono::system_clock::now();
voc1.create(allfeatures);
std::chrono::time_point<std::chrono::system_clock> t2 = std::chrono::system_clock::now();
unsigned long int dur1 = std::chrono::duration_cast<std::chrono::milliseconds>(t2 - t1).count();
std::cerr << "end 10x1 " << dur1 * 0.001 << std::endl;
voc1.save("voc_tum_10x1.gz");
}
return 0;
}
// int main()
// {
// Settings setting_("TUM-VI.yaml");
// cv::Size imSzz = setting_.imSize();
// PPGExtractor ext(imSzz.width, imSzz.height, setting_.camera()->toK(), cv::Mat::zeros(4, 1, CV_32F), "net", false);
// std::vector<cv::Mat> featureMH1 = getFeatures(&ext, "/home/z/Datasets/tum/dataset-magistrale1_512_16", 2000);
// {
// DBoW3::Vocabulary voc1("Vocabulary/voc_tum_9x3.gz");
// DBoW3::Database DB(voc1, false);
// for(unsigned int i=0;i<featureMH1.size();i++)
// DB.add(featureMH1[i]);
// DBoW3::QueryResults rst;
// DB.query(featureMH1[450], rst, 20);
// for(unsigned int i=0;i<rst.size();i++)
// {
// std::cout<<i<<" "<<rst[i].Id<<" "<<rst[i].Score<<std::endl;
// cv::Mat img = featureMH1[rst[i].Id];
// cv::imshow("img" + std::to_string(rst[i].Id), img);
// cv::waitKey(0);
// }
// }
// return 0;
// }
// int main()
// {
// CameraGeneric *camera = new Pinhole(0,"settings_euroc.yaml");
// SOLD2net net(camera, "sold2_net");
// std::vector<cv::Mat> featureMH1 = getFeatures(&net,camera,"/home/z/Datasets/MH_01_easy");
// std::vector<cv::Mat> featureMH2 = getFeatures(&net,camera,"/home/z/Datasets/MH_02_easy");
// std::vector<cv::Mat> featureMH3 = getFeatures(&net,camera,"/home/z/Datasets/MH_03_medium");
// std::vector<cv::Mat> featureMH4 = getFeatures(&net,camera,"/home/z/Datasets/MH_04_difficult");
// std::vector<cv::Mat> featureMH5 = getFeatures(&net,camera,"/home/z/Datasets/MH_05_difficult");
// std::vector<cv::Mat> featureV11 = getFeatures(&net,camera,"/home/z/Datasets/V1_01_easy");
// std::vector<cv::Mat> featureV12 = getFeatures(&net,camera,"/home/z/Datasets/V1_02_medium");
// std::vector<cv::Mat> featureV13 = getFeatures(&net,camera,"/home/z/Datasets/V1_03_difficult");
// std::vector<cv::Mat> featureV21 = getFeatures(&net,camera,"/home/z/Datasets/V2_01_easy");
// std::vector<cv::Mat> featureV22 = getFeatures(&net,camera,"/home/z/Datasets/V2_02_medium");
// std::vector<cv::Mat> featureV23 = getFeatures(&net,camera,"/home/z/Datasets/V2_03_difficult");
// std::vector<cv::Mat> allfeatures;
// allfeatures.insert(allfeatures.end(), featureMH1.begin(), featureMH1.end());
// allfeatures.insert(allfeatures.end(), featureMH2.begin(), featureMH2.end());
// allfeatures.insert(allfeatures.end(), featureMH3.begin(), featureMH3.end());
// allfeatures.insert(allfeatures.end(), featureMH4.begin(), featureMH4.end());
// allfeatures.insert(allfeatures.end(), featureMH5.begin(), featureMH5.end());
// allfeatures.insert(allfeatures.end(), featureV11.begin(), featureV11.end());
// allfeatures.insert(allfeatures.end(), featureV12.begin(), featureV12.end());
// allfeatures.insert(allfeatures.end(), featureV13.begin(), featureV13.end());
// allfeatures.insert(allfeatures.end(), featureV21.begin(), featureV21.end());
// allfeatures.insert(allfeatures.end(), featureV22.begin(), featureV22.end());
// allfeatures.insert(allfeatures.end(), featureV23.begin(), featureV23.end());
// {
// DBoW3::Vocabulary voc1(9, 3, DBoW3::TF_IDF, DBoW3::L2_NORM);
// std::cerr<<"start"<<std::endl;
// std::chrono::time_point<std::chrono::system_clock> t1 = std::chrono::system_clock::now();
// voc1.create(allfeatures);
// std::chrono::time_point<std::chrono::system_clock> t2 = std::chrono::system_clock::now();
// unsigned long int dur1 = std::chrono::duration_cast<std::chrono::milliseconds>(t2-t1).count();
// std::cerr<<"end 9x3 "<<dur1 * 0.001<<std::endl;
// voc1.save("voc_euroc_9x3.gz");
// }
// {
// DBoW3::Vocabulary voc2(20, 3, DBoW3::TF_IDF, DBoW3::L2_NORM);
// std::cerr<<"start"<<std::endl;
// std::chrono::time_point<std::chrono::system_clock> t3 = std::chrono::system_clock::now();
// voc2.create(allfeatures);
// std::chrono::time_point<std::chrono::system_clock> t4 = std::chrono::system_clock::now();
// unsigned long int dur2 = std::chrono::duration_cast<std::chrono::milliseconds>(t4-t3).count();
// std::cerr<<"end 20x3 "<<dur2 * 0.001<<std::endl;
// voc2.save("voc_euroc_20x3.gz");
// }
// {
// DBoW3::Vocabulary voc3(10, 5, DBoW3::TF_IDF, DBoW3::L2_NORM);
// std::cerr<<"start"<<std::endl;
// std::chrono::time_point<std::chrono::system_clock> t5 = std::chrono::system_clock::now();
// voc3.create(allfeatures);
// std::chrono::time_point<std::chrono::system_clock> t6 = std::chrono::system_clock::now();
// unsigned long int dur3 = std::chrono::duration_cast<std::chrono::milliseconds>(t6-t5).count();
// std::cerr<<"end 10x5 "<<dur3 * 0.001<<std::endl;
// voc3.save("voc_euroc_10x5.gz");
// }
// return 0;
// }