| | |
| | | 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]); |
| | |
| | | find_replace(labelpath, "JPEGImages", "labels", 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); |
| | |
| | | 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"); |