| | |
| | | int w = val[t].w; |
| | | int h = val[t].h; |
| | | get_detection_boxes(l, w, h, thresh, probs, boxes, 0); |
| | | if (nms) do_nms_sort(boxes, probs, side*side*l.n, classes, iou_thresh); |
| | | if (nms) do_nms_sort_v2(boxes, probs, side*side*l.n, classes, iou_thresh); |
| | | print_cocos(fp, image_id, boxes, probs, side*side*l.n, classes, w, h); |
| | | free_image(val[t]); |
| | | free_image(val_resized[t]); |
| | |
| | | network_predict(net, X); |
| | | printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time)); |
| | | get_detection_boxes(l, 1, 1, thresh, probs, boxes, 0); |
| | | if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms); |
| | | if (nms) do_nms_sort_v2(boxes, probs, l.side*l.side*l.n, l.classes, nms); |
| | | draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, alphabet, 80); |
| | | save_image(im, "prediction"); |
| | | show_image(im, "predictions"); |
| | |
| | | char *out_filename = find_char_arg(argc, argv, "-out_filename", 0); |
| | | char *prefix = find_char_arg(argc, argv, "-prefix", 0); |
| | | float thresh = find_float_arg(argc, argv, "-thresh", .2); |
| | | float hier_thresh = find_float_arg(argc, argv, "-hier", .5); |
| | | int cam_index = find_int_arg(argc, argv, "-c", 0); |
| | | int frame_skip = find_int_arg(argc, argv, "-s", 0); |
| | | |
| | |
| | | else if(0==strcmp(argv[2], "train")) train_coco(cfg, weights); |
| | | else if(0==strcmp(argv[2], "valid")) validate_coco(cfg, weights); |
| | | else if(0==strcmp(argv[2], "recall")) validate_coco_recall(cfg, weights); |
| | | else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, cam_index, filename, coco_classes, 80, frame_skip, |
| | | else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, hier_thresh, cam_index, filename, coco_classes, 80, frame_skip, |
| | | prefix, out_filename, http_stream_port, dont_show); |
| | | } |