| | |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #include "opencv2/imgproc/imgproc_c.h" |
| | | #include "opencv2/core/version.hpp" |
| | | #ifndef CV_VERSION_EPOCH |
| | | #include "opencv2/videoio/videoio_c.h" |
| | | #endif |
| | | #endif |
| | | |
| | | char *voc_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"}; |
| | |
| | | |
| | | void test_yolo(char *cfgfile, char *weightfile, char *filename, float thresh) |
| | | { |
| | | image *alphabet = load_alphabet(); |
| | | image **alphabet = load_alphabet(); |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | |
| | | time=clock(); |
| | | network_predict(net, X); |
| | | printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time)); |
| | | get_detection_boxes(l, 1, 1, thresh, probs, boxes, 1); |
| | | 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); |
| | | //draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, alphabet, 20); |
| | | draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, alphabet, 20); |