10 double calcAccuracy(std::string line, cv::Rect bb_rect, cv::Rect &groundtruth_rect)
12 std::vector<float> numbers;
13 std::istringstream s(line);
21 double x1 = std::min(numbers[0], std::min(numbers[2], std::min(numbers[4], numbers[6])));
22 double x2 = std::max(numbers[0], std::max(numbers[2], std::max(numbers[4], numbers[6])));
23 double y1 = std::min(numbers[1], std::min(numbers[3], std::min(numbers[5], numbers[7])));
24 double y2 = std::max(numbers[1], std::max(numbers[3], std::max(numbers[5], numbers[7])));
26 groundtruth_rect = cv::Rect(x1, y1, x2 - x1, y2 - y1);
28 double rects_intersection = (groundtruth_rect & bb_rect).area();
29 double rects_union = (groundtruth_rect | bb_rect).area();
30 double accuracy = rects_intersection / rects_union;
35 int main(int argc, char *argv[])
37 // load region, images and prepare for output
38 std::string region, images, output;
39 int visualize_delay = -1, fit_size_x = -1, fit_size_y = -1;
44 static struct option long_options[] = {{"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'},
52 int c = getopt_long(argc, argv, "dphv::f::o:", long_options, &option_index);
57 tracker.m_debug = true;
60 tracker.m_visual_debug = true;
61 visualize_delay = 500;
66 << argv[0] << " [options]\n"
67 << argv[0] << " [options] <directory>\n"
69 << " [options] <path/to/region.txt or groundtruth.txt> <path/to/images.txt> [path/to/output.txt]\n"
71 << " --visualize | -v[delay_ms]\n"
72 << " --output | -o <output.txt>\n"
74 << " --visualDebug | -p\n"
75 << " --fit | -f[WxH]\n";
82 visualize_delay = optarg ? atol(optarg) : 1;
85 std::string sizes = optarg ? optarg : "128x128";
86 std::string delimiter = "x";
87 size_t pos = sizes.find(delimiter);
88 std::string first_argument = sizes.substr(0, pos);
89 sizes.erase(0, pos + delimiter.length());
91 fit_size_x = stol(first_argument);
92 fit_size_y = stol(sizes);
97 switch (argc - optind) {
99 if (chdir(argv[optind]) == -1) {
100 perror(argv[optind]);
105 region = access("groundtruth.txt", F_OK) == 0 ? "groundtruth.txt" : "region.txt";
106 images = "images.txt";
107 if (output.empty()) output = "output.txt";
112 region = std::string(argv[optind + 0]);
113 images = std::string(argv[optind + 1]);
114 if (output.empty()) {
115 if ((argc - optind) == 3)
116 output = std::string(argv[optind + 2]);
118 output = std::string(dirname(argv[optind + 0])) + "/output.txt";
122 std::cerr << "Too many arguments\n";
125 VOT vot_io(region, images, output);
127 // if groundtruth.txt is used use intersection over union (IOU) to calculate tracker accuracy
128 std::ifstream groundtruth_stream;
129 if (region.compare("groundtruth.txt") == 0) {
130 groundtruth_stream.open(region.c_str());
132 std::getline(groundtruth_stream, line);
137 // img = firts frame, initPos = initial position in the first frame
138 cv::Rect init_rect = vot_io.getInitRectangle();
139 vot_io.outputBoundingBox(init_rect);
140 vot_io.getNextImage(image);
142 tracker.init(image, init_rect, fit_size_x, fit_size_y);
146 double avg_time = 0., sum_accuracy = 0.;
149 std::cout << std::fixed << std::setprecision(2);
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 "response : " << tracker.getFilterResponse();
157 avg_time += time_profile_counter/((double)cvGetTickFrequency()*1000);
160 bb = tracker.getBBox();
161 bb_rect = cv::Rect(bb.cx - bb.w / 2., bb.cy - bb.h / 2., bb.w, bb.h);
162 vot_io.outputBoundingBox(bb_rect);
164 if (groundtruth_stream.is_open()) {
166 std::getline(groundtruth_stream, line);
168 cv::Rect groundtruthRect;
169 double accuracy = calcAccuracy(line, bb_rect, groundtruthRect);
170 if (visualize_delay >= 0) 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),
189 std::string angle = std::to_string(bb.a);
190 angle.erase(angle.find_last_not_of('0') + 1, std::string::npos);
191 angle.erase(angle.find_last_not_of('.') + 1, std::string::npos);
192 cv::putText(image, "Frame: " + std::to_string(frames) + " " + angle + " angle",
193 cv::Point(0, image.rows - 1), cv::FONT_HERSHEY_SIMPLEX, 0.7, cv::Scalar(0, 255, 0), 2);
194 cv::imshow("output", image);
195 int ret = cv::waitKey(visualize_delay);
196 if (visualize_delay > 0 && ret != -1 && ret != 255) break;
199 // std::stringstream s;
201 // int countTmp = frames;
202 // s << "imgs" << "/img" << (countTmp/10000);
203 // countTmp = countTmp%10000;
204 // s << (countTmp/1000);
205 // countTmp = countTmp%1000;
206 // s << (countTmp/100);
207 // countTmp = countTmp%100;
208 // s << (countTmp/10);
209 // countTmp = countTmp%10;
213 // //set image output parameters
214 // std::vector<int> compression_params;
215 // compression_params.push_back(CV_IMWRITE_JPEG_QUALITY);
216 // compression_params.push_back(90);
217 // cv::imwrite(ss.c_str(), image, compression_params);
220 std::cout << "Average processing speed: " << avg_time / frames << "ms (" << 1. / (avg_time / frames) * 1000 << " fps)";
221 if (groundtruth_stream.is_open()) {
222 std::cout << "; Average accuracy: " << sum_accuracy/frames << std::endl;
223 groundtruth_stream.close();
225 std::cout << std::endl;