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https://github.com/pjreddie/darknet.git
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Show avg-loss chart during Training, if compiled with OpenCV. Use -dont_show to disable.
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@ -25,11 +25,13 @@
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#pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib")
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#endif
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#endif
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IplImage* draw_train_chart(float max_img_loss, int max_batches, int number_of_lines, int img_size);
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void draw_train_loss(IplImage* img, int img_size, float avg_loss, float max_img_loss, int current_batch, int max_batches);
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#endif // OPENCV
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static int coco_ids[] = {1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,31,32,33,34,35,36,37,38,39,40,41,42,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,70,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90};
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void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear)
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void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear, int dont_show)
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{
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list *options = read_data_cfg(datacfg);
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char *train_images = option_find_str(options, "train", "data/train.list");
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@ -94,6 +96,15 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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args.saturation = net.saturation;
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args.hue = net.hue;
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#ifdef OPENCV
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IplImage* img = NULL;
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float max_img_loss = 5;
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int number_of_lines = 100;
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int img_size = 1000;
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if (!dont_show)
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img = draw_train_chart(max_img_loss, net.max_batches, number_of_lines, img_size);
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#endif //OPENCV
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pthread_t load_thread = load_data(args);
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clock_t time;
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int count = 0;
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@ -159,6 +170,12 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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i = get_current_batch(net);
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printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs);
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#ifdef OPENCV
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if(!dont_show)
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draw_train_loss(img, img_size, avg_loss, max_img_loss, i, net.max_batches);
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#endif // OPENCV
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//if (i % 1000 == 0 || (i < 1000 && i % 100 == 0)) {
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if (i % 100 == 0) {
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#ifdef GPU
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@ -176,6 +193,9 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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char buff[256];
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sprintf(buff, "%s/%s_final.weights", backup_directory, base);
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save_weights(net, buff);
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//cvReleaseImage(&img);
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//cvDestroyAllWindows();
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}
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@ -1089,11 +1109,11 @@ void run_detector(int argc, char **argv)
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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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else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, gpus, ngpus, clear);
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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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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, final_width, final_heigh, show);
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else if(0==strcmp(argv[2], "calc_anchors")) calc_anchors(datacfg, num_of_clusters, final_width, final_heigh, 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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