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Fixed typo for calc_anchors
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@ -413,7 +413,7 @@ Example of custom object detection: `darknet.exe detector test data/obj.data yol
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* increase network resolution in your `.cfg`-file (`height=608`, `width=608` or any value multiple of 32) - it will increase precision
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* recalculate anchors for your dataset for `width` and `height` from cfg-file:
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`darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -heigh 416`
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`darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -height 416`
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then set the same 9 `anchors` in each of 3 `[yolo]`-layers in your cfg-file
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* desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides, on different backgrounds
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@ -1,10 +1,10 @@
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rem # How to calculate Yolo v2 anchors using K-means++
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darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -heigh 416
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darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -height 416
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rem darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -heigh 416 -show
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rem darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -height 416 -show
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@ -294,7 +294,6 @@ int nms_comparator_v3(const void *pa, const void *pb)
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void do_nms_obj(detection *dets, int total, int classes, float thresh)
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{
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printf(" total = %d, classes = %d, thresh = %f \n", total, classes, thresh);
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int i, j, k;
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k = total - 1;
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for (i = 0; i <= k; ++i) {
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@ -1107,7 +1107,7 @@ void run_detector(int argc, char **argv)
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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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int width = find_int_arg(argc, argv, "-width", 13);
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int heigh = find_int_arg(argc, argv, "-heigh", 13);
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int height = find_int_arg(argc, argv, "-height", 13);
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if(argc < 4){
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fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
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return;
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@ -1148,7 +1148,7 @@ void run_detector(int argc, char **argv)
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else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights, outfile);
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else if(0==strcmp(argv[2], "recall")) validate_detector_recall(datacfg, cfg, weights);
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else if(0==strcmp(argv[2], "map")) validate_detector_map(datacfg, cfg, weights, thresh);
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else if(0==strcmp(argv[2], "calc_anchors")) calc_anchors(datacfg, num_of_clusters, width, heigh, show);
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else if(0==strcmp(argv[2], "calc_anchors")) calc_anchors(datacfg, num_of_clusters, width, height, show);
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else if(0==strcmp(argv[2], "demo")) {
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list *options = read_data_cfg(datacfg);
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int classes = option_find_int(options, "classes", 20);
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