9 double calcAccuracy(std::string line, cv::Rect bb_rect, cv::Rect &groundtruth_rect)
11 std::vector<float> numbers;
12 std::istringstream s( line );
20 double x1 = std::min(numbers[0], std::min(numbers[2], std::min(numbers[4], numbers[6])));
21 double x2 = std::max(numbers[0], std::max(numbers[2], std::max(numbers[4], numbers[6])));
22 double y1 = std::min(numbers[1], std::min(numbers[3], std::min(numbers[5], numbers[7])));
23 double y2 = std::max(numbers[1], std::max(numbers[3], std::max(numbers[5], numbers[7])));
25 groundtruth_rect = cv::Rect(x1, y1, x2-x1, y2-y1);
27 double rects_intersection = (groundtruth_rect & bb_rect).area();
28 double rects_union = (groundtruth_rect | bb_rect).area();
29 double accuracy = rects_intersection/rects_union;
34 int main(int argc, char *argv[])
36 //load region, images and prepare for output
37 std::string region, images, output;
38 int visualize_delay = -1, fit_size_x = -1, fit_size_y = -1;
43 static struct option long_options[] = {
44 {"debug", no_argument, 0, 'd' },
45 {"visualDebug", no_argument, 0, 'p' },
46 {"help", no_argument, 0, 'h' },
47 {"output", required_argument, 0, 'o' },
48 {"visualize", optional_argument, 0, 'v' },
49 {"fit", optional_argument, 0, 'f' },
53 int c = getopt_long(argc, argv, "dphv::f::o:",
54 long_options, &option_index);
60 tracker.m_debug = true;
63 tracker.m_visual_debug = true;
64 visualize_delay = 500;
67 std::cerr << "Usage: \n"
68 << argv[0] << " [options]\n"
69 << argv[0] << " [options] <directory>\n"
70 << argv[0] << " [options] <path/to/region.txt or groundtruth.txt> <path/to/images.txt> [path/to/output.txt]\n"
72 << " --visualize | -v[delay_ms]\n"
73 << " --output | -o <output.txt>\n"
75 << " --visualDebug | -p\n"
76 << " --fit | -f[WxH]\n";
83 visualize_delay = optarg ? atol(optarg) : 1;
86 std::string sizes = optarg ? optarg : "128x128";
87 std::string delimiter = "x";
88 size_t pos = sizes.find(delimiter);
89 std::string first_argument = sizes.substr(0, pos);
90 sizes.erase(0, pos + delimiter.length());
92 fit_size_x = stol(first_argument);
93 fit_size_y = stol(sizes);
98 switch (argc - optind) {
100 if (chdir(argv[optind]) == -1) {
101 perror(argv[optind]);
106 region = access("groundtruth.txt", F_OK) == 0 ? "groundtruth.txt" : "region.txt";
107 images = "images.txt";
109 output = "output.txt";
114 region = std::string(argv[optind + 0]);
115 images = std::string(argv[optind + 1]);
116 if (output.empty()) {
117 if ((argc - optind) == 3)
118 output = std::string(argv[optind + 2]);
120 output = std::string(dirname(argv[optind + 0])) + "/output.txt";
124 std::cerr << "Too many arguments\n";
127 VOT vot_io(region, images, output);
129 // if groundtruth.txt is used use intersection over union (IOU) to calculate tracker accuracy
130 std::ifstream groundtruth_stream;
131 if (region.compare("groundtruth.txt") == 0) {
132 std::cout << region << std::endl;
133 groundtruth_stream.open(region.c_str());
135 std::getline(groundtruth_stream, line);
140 //img = firts frame, initPos = initial position in the first frame
141 cv::Rect init_rect = vot_io.getInitRectangle();
142 vot_io.outputBoundingBox(init_rect);
143 vot_io.getNextImage(image);
145 tracker.init(image, init_rect, fit_size_x, fit_size_y);
149 double avg_time = 0., sum_accuracy = 0.;
151 while (vot_io.getNextImage(image) == 1){
152 double time_profile_counter = cv::getCPUTickCount();
153 tracker.track(image);
154 time_profile_counter = cv::getCPUTickCount() - time_profile_counter;
155 std::cout << " -> speed : " << time_profile_counter/((double)cvGetTickFrequency()*1000) << "ms. per frame";
156 avg_time += time_profile_counter/((double)cvGetTickFrequency()*1000);
159 bb = tracker.getBBox();
160 bb_rect = cv::Rect(bb.cx - bb.w/2., bb.cy - bb.h/2., bb.w, bb.h);
161 vot_io.outputBoundingBox(bb_rect);
163 if (groundtruth_stream.is_open()) {
165 std::getline(groundtruth_stream, line);
167 cv::Rect groundtruthRect;
168 double accuracy = calcAccuracy(line, bb_rect, groundtruthRect);
169 if (visualize_delay >= 0)
170 cv::rectangle(image, groundtruthRect, CV_RGB(255, 0,0), 1);
171 std::cout << ", accuracy: " << accuracy;
172 sum_accuracy += accuracy;
175 std::cout << std::endl;
177 if (visualize_delay >= 0) {
178 cv::Point pt(bb.cx, bb.cy);
179 cv::Size size(bb.w, bb.h);
180 cv::RotatedRect rotatedRectangle(pt,size, bb.a);
182 cv::Point2f vertices[4];
183 rotatedRectangle.points(vertices);
185 for (int i = 0; i < 4; i++)
186 cv::line(image, vertices[i], vertices[(i+1)%4], cv::Scalar(0,255,0), 2);
187 // cv::rectangle(image, cv::Rect(bb.cx - bb.w/2., bb.cy - bb.h/2., bb.w, bb.h), CV_RGB(0,255,0), 2);
188 std::string angle = std::to_string (bb.a);
189 angle.erase ( angle.find_last_not_of('0') + 1, std::string::npos );
190 angle.erase ( angle.find_last_not_of('.') + 1, std::string::npos );
191 cv::putText(image, "Frame: " + std::to_string(frames) + " " + angle + " angle", cv::Point(0, image.rows-1), cv::FONT_HERSHEY_SIMPLEX, 0.7, cv::Scalar(0,255,0),2,cv::LINE_AA);
192 cv::imshow("output", image);
193 int ret = cv::waitKey(visualize_delay);
194 if (visualize_delay > 0 && ret != -1 && ret != 255)
198 // std::stringstream s;
200 // int countTmp = frames;
201 // s << "imgs" << "/img" << (countTmp/10000);
202 // countTmp = countTmp%10000;
203 // s << (countTmp/1000);
204 // countTmp = countTmp%1000;
205 // s << (countTmp/100);
206 // countTmp = countTmp%100;
207 // s << (countTmp/10);
208 // countTmp = countTmp%10;
212 // //set image output parameters
213 // std::vector<int> compression_params;
214 // compression_params.push_back(CV_IMWRITE_JPEG_QUALITY);
215 // compression_params.push_back(90);
216 // cv::imwrite(ss.c_str(), image, compression_params);
219 std::cout << "Average processing speed " << avg_time/frames << "ms. (" << 1./(avg_time/frames)*1000 << " fps)" << std::endl;
220 if (groundtruth_stream.is_open()) {
221 std::cout << "Average accuracy: " << sum_accuracy/frames << std::endl;
222 groundtruth_stream.close();