| | |
| | | #endif |
| | | |
| | | char *voc_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"}; |
| | | image voc_labels[20]; |
| | | |
| | | void train_yolo(char *cfgfile, char *weightfile) |
| | | { |
| | |
| | | printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time)); |
| | | convert_yolo_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, voc_names, 0, 20); |
| | | draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, voc_labels, 20); |
| | | show_image(im, "predictions"); |
| | | |
| | | show_image(sized, "resized"); |
| | |
| | | |
| | | void run_yolo(int argc, char **argv) |
| | | { |
| | | int i; |
| | | for(i = 0; i < 20; ++i){ |
| | | char buff[256]; |
| | | sprintf(buff, "data/labels/%s.png", voc_names[i]); |
| | | voc_labels[i] = load_image_color(buff, 0, 0); |
| | | } |
| | | |
| | | float thresh = find_float_arg(argc, argv, "-thresh", .2); |
| | | int cam_index = find_int_arg(argc, argv, "-c", 0); |
| | | if(argc < 4){ |