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Merge pull request #2923 from willbattel/save-best-map
Save weights with best mAP during training
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@ -110,6 +110,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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iter_save_last = get_current_batch(net);
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iter_map = get_current_batch(net);
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float mean_average_precision = -1;
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float best_map = mean_average_precision;
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load_args args = { 0 };
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args.w = net.w;
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@ -241,7 +242,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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next_map_calc = fmax(next_map_calc, 400);
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if (calc_map) {
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printf("\n (next mAP calculation at %d iterations) ", next_map_calc);
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if (mean_average_precision > 0) printf("\n Last accuracy mAP@0.5 = %2.2f %% ", mean_average_precision * 100);
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if (mean_average_precision > 0) printf("\n Last accuracy mAP@0.5 = %2.2f %%, best = %2.2f %% ", mean_average_precision * 100, best_map * 100);
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}
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if (net.cudnn_half) {
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@ -275,6 +276,14 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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iter_map = i;
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mean_average_precision = validate_detector_map(datacfg, cfgfile, weightfile, 0.25, 0.5, 0, &net_map);// &net_combined);
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printf("\n mean_average_precision (mAP@0.5) = %f \n", mean_average_precision);
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if (mean_average_precision > best_map) {
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best_map = mean_average_precision;
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printf("New best mAP!\n");
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char buff[256];
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sprintf(buff, "%s/%s_best.weights", backup_directory, base);
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save_weights(net, buff);
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}
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draw_precision = 1;
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}
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#ifdef OPENCV
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