| | |
| | | #ifdef _DEBUG |
| | | #include <stdlib.h> |
| | | #include <crtdbg.h> |
| | | #endif |
| | | |
| | | #include "network.h" |
| | | #include "region_layer.h" |
| | | #include "cost_layer.h" |
| | |
| | | } |
| | | #endif // OPENCV |
| | | |
| | | void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, float hier_thresh, int dont_show) |
| | | void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, |
| | | float hier_thresh, int dont_show, int ext_output) |
| | | { |
| | | list *options = read_data_cfg(datacfg); |
| | | char *name_list = option_find_str(options, "names", "data/names.list"); |
| | |
| | | int nboxes = 0; |
| | | detection *dets = get_network_boxes(&net, im.w, im.h, thresh, hier_thresh, 0, 1, &nboxes, letterbox); |
| | | if (nms) do_nms_sort(dets, nboxes, l.classes, nms); |
| | | draw_detections_v3(im, dets, nboxes, thresh, names, alphabet, l.classes); |
| | | draw_detections_v3(im, dets, nboxes, thresh, names, alphabet, l.classes, ext_output); |
| | | free_detections(dets, nboxes); |
| | | save_image(im, "predictions"); |
| | | if (!dont_show) { |
| | |
| | | #endif |
| | | if (filename) break; |
| | | } |
| | | |
| | | // free memory |
| | | free_ptrs(names, net.layers[net.n - 1].classes); |
| | | free_list(options); |
| | | |
| | | int i; |
| | | const int nsize = 8; |
| | | for (j = 0; j < nsize; ++j) { |
| | | for (i = 32; i < 127; ++i) { |
| | | free_image(alphabet[j][i]); |
| | | } |
| | | free(alphabet[j]); |
| | | } |
| | | free(alphabet); |
| | | |
| | | free_network(net); |
| | | } |
| | | |
| | | void run_detector(int argc, char **argv) |
| | |
| | | int num_of_clusters = find_int_arg(argc, argv, "-num_of_clusters", 5); |
| | | int width = find_int_arg(argc, argv, "-width", -1); |
| | | int height = find_int_arg(argc, argv, "-height", -1); |
| | | // extended output in test mode (output of rect bound coords) |
| | | // and for recall mode (extended output table-like format with results for best_class fit) |
| | | int ext_output = find_arg(argc, argv, "-ext_output"); |
| | | if(argc < 4){ |
| | | fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]); |
| | | return; |
| | |
| | | if(strlen(weights) > 0) |
| | | if (weights[strlen(weights) - 1] == 0x0d) weights[strlen(weights) - 1] = 0; |
| | | char *filename = (argc > 6) ? argv[6]: 0; |
| | | if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, hier_thresh, dont_show); |
| | | if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh, hier_thresh, dont_show, ext_output); |
| | | else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, gpus, ngpus, clear, dont_show); |
| | | else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights, outfile); |
| | | else if(0==strcmp(argv[2], "recall")) validate_detector_recall(datacfg, cfg, weights); |