| | |
| | | for(c = 0; c < side; ++c){ |
| | | j = (r*side + c) * elems; |
| | | int class = max_index(box+j, classes); |
| | | if(box[j+class] > .2){ |
| | | if(box[j+class] > 0.2){ |
| | | printf("%f %s\n", box[j+class], class_names[class]); |
| | | float red = get_color(0,class,classes); |
| | | float green = get_color(1,class,classes); |
| | |
| | | |
| | | int classes = layer.classes; |
| | | int background = (layer.background || layer.objectness); |
| | | printf("%d\n", background); |
| | | int side = sqrt(get_detection_layer_locations(layer)); |
| | | |
| | | char **paths; |
| | |
| | | //plist = get_paths("/home/pjreddie/data/voc/no_2012_val.txt"); |
| | | //plist = get_paths("/home/pjreddie/data/voc/no_2007_test.txt"); |
| | | //plist = get_paths("/home/pjreddie/data/voc/val_2012.txt"); |
| | | plist = get_paths("/home/pjreddie/data/voc/no_2007_test.txt"); |
| | | //plist = get_paths("/home/pjreddie/data/voc/no_2007_test.txt"); |
| | | //plist = get_paths("/home/pjreddie/data/coco/trainval.txt"); |
| | | //plist = get_paths("/home/pjreddie/data/voc/all2007-2012.txt"); |
| | | plist = get_paths("/home/pjreddie/data/voc/all2007-2012.txt"); |
| | | } |
| | | paths = (char **)list_to_array(plist); |
| | | pthread_t load_thread = load_data_detection_thread(imgs, paths, plist->size, classes, net.w, net.h, side, side, background, &buffer); |
| | |
| | | fprintf(stderr, "Total Detection Time: %f Seconds\n", (double)(time(0) - start)); |
| | | } |
| | | |
| | | void test_detection(char *cfgfile, char *weightfile) |
| | | void test_detection(char *cfgfile, char *weightfile, char *filename) |
| | | { |
| | | |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | |
| | | set_batch_network(&net, 1); |
| | | srand(2222222); |
| | | clock_t time; |
| | | char filename[256]; |
| | | char input[256]; |
| | | while(1){ |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename,0,0); |
| | | if(filename){ |
| | | strncpy(input, filename, 256); |
| | | } else { |
| | | printf("Enter Image Path: "); |
| | | fflush(stdout); |
| | | fgets(input, 256, stdin); |
| | | strtok(input, "\n"); |
| | | } |
| | | image im = load_image_color(input,0,0); |
| | | image sized = resize_image(im, im_size, im_size); |
| | | printf("%d %d %d\n", im.h, im.w, im.c); |
| | | float *X = sized.data; |
| | | time=clock(); |
| | | float *predictions = network_predict(net, X); |
| | | printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time)); |
| | | printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time)); |
| | | draw_detection(im, predictions, 7, "predictions"); |
| | | free_image(im); |
| | | free_image(sized); |
| | | #ifdef OPENCV |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | #endif |
| | | cvDestroyAllWindows(); |
| | | #endif |
| | | if (filename) break; |
| | | } |
| | | } |
| | | |
| | |
| | | |
| | | char *cfg = argv[3]; |
| | | char *weights = (argc > 4) ? argv[4] : 0; |
| | | if(0==strcmp(argv[2], "test")) test_detection(cfg, weights); |
| | | char *filename = (argc > 5) ? argv[5]: 0; |
| | | if(0==strcmp(argv[2], "test")) test_detection(cfg, weights, filename); |
| | | else if(0==strcmp(argv[2], "train")) train_detection(cfg, weights); |
| | | else if(0==strcmp(argv[2], "valid")) validate_detection(cfg, weights); |
| | | } |