| | |
| | | #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[80]; |
| | | image voc_labels[20]; |
| | | |
| | | void train_yolo(char *cfgfile, char *weightfile) |
| | | { |
| | | char *train_images = "data/voc.0712.trainval"; |
| | | char *train_images = "/data/voc/train.txt"; |
| | | char *backup_directory = "/home/pjreddie/backup/"; |
| | | srand(time(0)); |
| | | data_seed = time(0); |
| | |
| | | int i=0; |
| | | |
| | | float thresh = .001; |
| | | int nms = 0; |
| | | float iou_thresh = .5; |
| | | float nms_thresh = .5; |
| | | float nms = 0; |
| | | |
| | | int total = 0; |
| | | int correct = 0; |
| | |
| | | char *id = basecfg(path); |
| | | float *predictions = network_predict(net, sized.data); |
| | | convert_yolo_detections(predictions, classes, l.n, square, side, 1, 1, thresh, probs, boxes, 1); |
| | | if (nms) do_nms(boxes, probs, side*side*l.n, 1, nms_thresh); |
| | | if (nms) do_nms(boxes, probs, side*side*l.n, 1, nms); |
| | | |
| | | char *labelpath = find_replace(path, "images", "labels"); |
| | | labelpath = find_replace(labelpath, "JPEGImages", "labels"); |
| | |
| | | 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, voc_labels, 20); |
| | | //draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, voc_labels, 20); |
| | | draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, 0, 20); |
| | | show_image(im, "predictions"); |
| | | save_image(im, "predictions"); |
| | | |
| | | show_image(sized, "resized"); |
| | | free_image(im); |
| | |
| | | #endif |
| | | */ |
| | | |
| | | void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index); |
| | | #ifndef GPU |
| | | void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index) |
| | | { |
| | | fprintf(stderr, "Darknet must be compiled with CUDA for YOLO demo.\n"); |
| | | } |
| | | #endif |
| | | void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index, char *filename); |
| | | |
| | | void run_yolo(int argc, char **argv) |
| | | { |
| | |
| | | else if(0==strcmp(argv[2], "train")) train_yolo(cfg, weights); |
| | | else if(0==strcmp(argv[2], "valid")) validate_yolo(cfg, weights); |
| | | else if(0==strcmp(argv[2], "recall")) validate_yolo_recall(cfg, weights); |
| | | else if(0==strcmp(argv[2], "demo")) demo_yolo(cfg, weights, thresh, cam_index); |
| | | else if(0==strcmp(argv[2], "demo")) demo_yolo(cfg, weights, thresh, cam_index, filename); |
| | | } |