Added flag -save_labels to save detections as training labels txt-files (pseudo labeling concept)
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| | | static int coco_ids[] = {1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,31,32,33,34,35,36,37,38,39,40,41,42,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,70,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90}; |
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| | | void replace_image_to_label(char *input_path, char *output_path) { |
| | | find_replace(input_path, "images", "labels", output_path); |
| | | find_replace(output_path, "JPEGImages", "labels", output_path); |
| | | find_replace(output_path, ".jpg", ".txt", output_path); |
| | | find_replace(output_path, ".png", ".txt", output_path); |
| | | find_replace(output_path, ".bmp", ".txt", output_path); |
| | | find_replace(output_path, ".JPG", ".txt", output_path); |
| | | find_replace(output_path, ".JPEG", ".txt", output_path); |
| | | find_replace(output_path, ".ppm", ".txt", output_path); |
| | | } |
| | | |
| | | void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear, int dont_show) |
| | | { |
| | | list *options = read_data_cfg(datacfg); |
| | |
| | | if (nms) do_nms_obj(dets, nboxes, 1, nms); |
| | | |
| | | char labelpath[4096]; |
| | | find_replace(path, "images", "labels", labelpath); |
| | | find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | find_replace(labelpath, ".png", ".txt", labelpath); |
| | | find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | replace_image_to_label(path, labelpath); |
| | | //find_replace(path, "images", "labels", labelpath); |
| | | //find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | //find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | //find_replace(labelpath, ".png", ".txt", labelpath); |
| | | //find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | |
| | | int num_labels = 0; |
| | | box_label *truth = read_boxes(labelpath, &num_labels); |
| | |
| | | if (nms) do_nms_sort(dets, nboxes, l.classes, nms); |
| | | |
| | | char labelpath[4096]; |
| | | find_replace(path, "images", "labels", labelpath); |
| | | find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | find_replace(labelpath, ".png", ".txt", labelpath); |
| | | find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | replace_image_to_label(path, labelpath); |
| | | //find_replace(path, "images", "labels", labelpath); |
| | | //find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | //find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | //find_replace(labelpath, ".png", ".txt", labelpath); |
| | | //find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | int num_labels = 0; |
| | | box_label *truth = read_boxes(labelpath, &num_labels); |
| | | int i, j; |
| | |
| | | for (i = 0; i < number_of_images; ++i) { |
| | | char *path = paths[i]; |
| | | char labelpath[4096]; |
| | | find_replace(path, "images", "labels", labelpath); |
| | | find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | find_replace(labelpath, ".png", ".txt", labelpath); |
| | | find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | replace_image_to_label(path, labelpath); |
| | | //find_replace(path, "images", "labels", labelpath); |
| | | //find_replace(labelpath, "JPEGImages", "labels", labelpath); |
| | | //find_replace(labelpath, ".jpg", ".txt", labelpath); |
| | | //find_replace(labelpath, ".png", ".txt", labelpath); |
| | | //find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | int num_labels = 0; |
| | | box_label *truth = read_boxes(labelpath, &num_labels); |
| | | //printf(" new path: %s \n", labelpath); |
| | |
| | | #endif // OPENCV |
| | | |
| | | void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, |
| | | float hier_thresh, int dont_show, int ext_output) |
| | | float hier_thresh, int dont_show, int ext_output, int save_labels) |
| | | { |
| | | list *options = read_data_cfg(datacfg); |
| | | char *name_list = option_find_str(options, "names", "data/names.list"); |
| | |
| | | if (!dont_show) { |
| | | show_image(im, "predictions"); |
| | | } |
| | | /* |
| | | |
| | | // pseudo labeling concept - fast.ai |
| | | if(save_labels) |
| | | { |
| | | char labelpath[4096]; |
| | | find_replace(input, ".jpg", ".txt", labelpath); |
| | | find_replace(labelpath, ".png", ".txt", labelpath); |
| | | find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | replace_image_to_label(input, labelpath); |
| | | //find_replace(input, ".jpg", ".txt", labelpath); |
| | | //find_replace(labelpath, ".png", ".txt", labelpath); |
| | | //find_replace(labelpath, ".bmp", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".JPEG", ".txt", labelpath); |
| | | //find_replace(labelpath, ".ppm", ".txt", labelpath); |
| | | |
| | | FILE* fw = fopen(labelpath, "wb"); |
| | | int i; |
| | |
| | | } |
| | | fclose(fw); |
| | | } |
| | | */ |
| | | |
| | | free_detections(dets, nboxes); |
| | | free_image(im); |
| | | free_image(sized); |
| | |
| | | // extended output in test mode (output of rect bound coords) |
| | | // and for recall mode (extended output table-like format with results for best_class fit) |
| | | int ext_output = find_arg(argc, argv, "-ext_output"); |
| | | int save_labels = find_arg(argc, argv, "-save_labels"); |
| | | if(argc < 4){ |
| | | fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]); |
| | | return; |
| | |
| | | if(strlen(weights) > 0) |
| | | if (weights[strlen(weights) - 1] == 0x0d) weights[strlen(weights) - 1] = 0; |
| | | char *filename = (argc > 6) ? argv[6]: 0; |
| | | if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, hier_thresh, dont_show, ext_output); |
| | | if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, hier_thresh, dont_show, ext_output, save_labels); |
| | | else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, gpus, ngpus, clear, dont_show); |
| | | else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights, outfile); |
| | | else if(0==strcmp(argv[2], "recall")) validate_detector_recall(datacfg, cfg, weights); |
| | |
| | | { |
| | | int i, j; |
| | | if (!show_img) return; |
| | | static int frame_id = 0; |
| | | frame_id++; |
| | | |
| | | for (i = 0; i < num; ++i) { |
| | | char labelstr[4096] = { 0 }; |
| | |
| | | color.val[1] = green * 256; |
| | | color.val[2] = blue * 256; |
| | | |
| | | // you should create directory: result_img |
| | | //static int img_id = 0; |
| | | //img_id++; |
| | | //char image_name[1024]; |
| | | //sprintf(image_name, "result_img/img_%d_%d_%d.jpg", frame_id, img_id, class_id); |
| | | //CvRect rect = cvRect(pt1.x, pt1.y, pt2.x - pt1.x, pt2.y - pt1.y); |
| | | //cvSetImageROI(show_img, rect); |
| | | //cvSaveImage(image_name, show_img, 0); |
| | | //cvResetImageROI(show_img); |
| | | |
| | | cvRectangle(show_img, pt1, pt2, color, width, 8, 0); |
| | | //printf("left=%d, right=%d, top=%d, bottom=%d, obj_id=%d, obj=%s \n", left, right, top, bot, class_id, names[class_id]); |
| | | cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, width, 8, 0); |