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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
Added Yolo v3
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@ -1000,7 +1000,7 @@ void calc_anchors(char *datacfg, int num_of_clusters, int final_width, int final
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}
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#endif // OPENCV
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void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, int dont_show)
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void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, float hier_thresh, int dont_show)
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{
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list *options = read_data_cfg(datacfg);
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char *name_list = option_find_str(options, "names", "data/names.list");
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@ -1017,7 +1017,7 @@ void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filenam
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char buff[256];
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char *input = buff;
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int j;
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float nms=.4;
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float nms=.45; // 0.4F
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while(1){
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if(filename){
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strncpy(input, filename, 256);
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@ -1030,21 +1030,27 @@ void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filenam
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strtok(input, "\n");
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}
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image im = load_image_color(input,0,0);
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image sized = resize_image(im, net.w, net.h);
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//image sized = letterbox_image(im, net.w, net.h);
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int letter = 0;
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//image sized = resize_image(im, net.w, net.h);
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image sized = letterbox_image(im, net.w, net.h); letter = 1;
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layer l = net.layers[net.n-1];
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box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
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float **probs = calloc(l.w*l.h*l.n, sizeof(float *));
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for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = calloc(l.classes, sizeof(float *));
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//box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
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//float **probs = calloc(l.w*l.h*l.n, sizeof(float *));
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//for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = calloc(l.classes, sizeof(float *));
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float *X = sized.data;
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time=clock();
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network_predict(net, X);
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printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
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get_region_boxes(l, 1, 1, thresh, probs, boxes, 0, 0);
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if (nms) do_nms_sort(boxes, probs, l.w*l.h*l.n, l.classes, nms);
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draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, names, alphabet, l.classes);
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//get_region_boxes(l, 1, 1, thresh, probs, boxes, 0, 0);
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// if (nms) do_nms_sort(boxes, probs, l.w*l.h*l.n, l.classes, nms);
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//draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, names, alphabet, l.classes);
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int nboxes = 0;
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detection *dets = get_network_boxes(&net, im.w, im.h, thresh, hier_thresh, 0, 1, &nboxes, letter);
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if (nms) do_nms_sort_v3(dets, nboxes, l.classes, nms);
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draw_detections_v3(im, dets, nboxes, thresh, names, alphabet, l.classes);
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free_detections(dets, nboxes);
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save_image(im, "predictions");
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if (!dont_show) {
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show_image(im, "predictions");
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@ -1052,8 +1058,8 @@ void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filenam
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free_image(im);
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free_image(sized);
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free(boxes);
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free_ptrs((void **)probs, l.w*l.h*l.n);
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//free(boxes);
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//free_ptrs((void **)probs, l.w*l.h*l.n);
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#ifdef OPENCV
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if (!dont_show) {
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cvWaitKey(0);
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@ -1071,7 +1077,8 @@ void run_detector(int argc, char **argv)
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int http_stream_port = find_int_arg(argc, argv, "-http_port", -1);
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char *out_filename = find_char_arg(argc, argv, "-out_filename", 0);
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char *prefix = find_char_arg(argc, argv, "-prefix", 0);
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float thresh = find_float_arg(argc, argv, "-thresh", .24);
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float thresh = find_float_arg(argc, argv, "-thresh", .25); // 0.24
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float hier_thresh = find_float_arg(argc, argv, "-hier", .5);
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int cam_index = find_int_arg(argc, argv, "-c", 0);
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int frame_skip = find_int_arg(argc, argv, "-s", 0);
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int num_of_clusters = find_int_arg(argc, argv, "-num_of_clusters", 5);
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@ -1112,7 +1119,7 @@ void run_detector(int argc, char **argv)
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if(weights)
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if (weights[strlen(weights) - 1] == 0x0d) weights[strlen(weights) - 1] = 0;
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char *filename = (argc > 6) ? argv[6]: 0;
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if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, dont_show);
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if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, hier_thresh, dont_show);
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else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, gpus, ngpus, clear, dont_show);
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else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights);
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else if(0==strcmp(argv[2], "recall")) validate_detector_recall(datacfg, cfg, weights);
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@ -1125,7 +1132,7 @@ void run_detector(int argc, char **argv)
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char **names = get_labels(name_list);
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if(filename)
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if (filename[strlen(filename) - 1] == 0x0d) filename[strlen(filename) - 1] = 0;
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demo(cfg, weights, thresh, cam_index, filename, names, classes, frame_skip, prefix, out_filename,
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demo(cfg, weights, thresh, hier_thresh, cam_index, filename, names, classes, frame_skip, prefix, out_filename,
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http_stream_port, dont_show);
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}
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}
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