| | |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | |
| | | printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", i, loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs); |
| | | if(i%1000==0){ |
| | | if(i%1000==0 || (i < 1000 && i%100 == 0)){ |
| | | char buff[256]; |
| | | sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i); |
| | | save_weights(net, buff); |
| | |
| | | convert_detections(predictions, l.classes, l.n, l.sqrt, l.side, 1, 1, thresh, probs, boxes, 0); |
| | | if (nms) do_nms_sort(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, coco_labels, 80); |
| | | save_image(im, "prediction"); |
| | | show_image(im, "predictions"); |
| | | |
| | | show_image(sized, "resized"); |
| | | free_image(im); |
| | | free_image(sized); |
| | | #ifdef OPENCV |
| | |
| | | } |
| | | float thresh = find_float_arg(argc, argv, "-thresh", .2); |
| | | int cam_index = find_int_arg(argc, argv, "-c", 0); |
| | | int frame_skip = find_int_arg(argc, argv, "-s", 0); |
| | | |
| | | if(argc < 4){ |
| | | fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]); |
| | |
| | | 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, coco_labels, 80); |
| | | else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, cam_index, filename, coco_classes, coco_labels, 80, frame_skip); |
| | | } |