Added flag -ext_output for detector demo. Fixed proportional resize of network for random=1
| | |
| | | static int cpp_video_capture = 0; |
| | | static float fps = 0; |
| | | static float demo_thresh = 0; |
| | | static int demo_ext_output = 0; |
| | | |
| | | static float *predictions[FRAMES]; |
| | | static int demo_index = 0; |
| | |
| | | static float *avg; |
| | | |
| | | void draw_detections_cv(IplImage* show_img, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes); |
| | | void draw_detections_cv_v3(IplImage* show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes); |
| | | void draw_detections_cv_v3(IplImage* show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output); |
| | | void show_image_cv_ipl(IplImage *disp, const char *name); |
| | | image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img, int cpp_video_capture); |
| | | IplImage* in_img; |
| | |
| | | demo_index = (demo_index + 1)%FRAMES; |
| | | |
| | | //draw_detections(det, l.w*l.h*l.n, demo_thresh, boxes, probs, demo_names, demo_alphabet, demo_classes); |
| | | draw_detections_cv_v3(det_img, dets, nboxes, demo_thresh, demo_names, demo_alphabet, demo_classes); |
| | | draw_detections_cv_v3(det_img, dets, nboxes, demo_thresh, demo_names, demo_alphabet, demo_classes, demo_ext_output); |
| | | //draw_detections_cv(det_img, l.w*l.h*l.n, demo_thresh, boxes, probs, demo_names, demo_alphabet, demo_classes); |
| | | free_detections(dets, nboxes); |
| | | |
| | |
| | | } |
| | | |
| | | void demo(char *cfgfile, char *weightfile, float thresh, float hier_thresh, int cam_index, const char *filename, char **names, int classes, |
| | | int frame_skip, char *prefix, char *out_filename, int http_stream_port, int dont_show) |
| | | int frame_skip, char *prefix, char *out_filename, int http_stream_port, int dont_show, int ext_output) |
| | | { |
| | | //skip = frame_skip; |
| | | image **alphabet = load_alphabet(); |
| | |
| | | demo_alphabet = alphabet; |
| | | demo_classes = classes; |
| | | demo_thresh = thresh; |
| | | demo_ext_output = ext_output; |
| | | printf("Demo\n"); |
| | | net = parse_network_cfg_custom(cfgfile, 1); // set batch=1 |
| | | if(weightfile){ |
| | |
| | | } |
| | | #else |
| | | void demo(char *cfgfile, char *weightfile, float thresh, float hier_thresh, int cam_index, const char *filename, char **names, int classes, |
| | | int frame_skip, char *prefix, char *out_filename, int http_stream_port, int dont_show) |
| | | int frame_skip, char *prefix, char *out_filename, int http_stream_port, int dont_show, int ext_output) |
| | | { |
| | | fprintf(stderr, "Demo needs OpenCV for webcam images.\n"); |
| | | } |
| | |
| | | //int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160 |
| | | //int dim = (rand() % 4 + 16) * 32; |
| | | //if (get_current_batch(net)+100 > net.max_batches) dim = 544; |
| | | int random_val = rand() % 12; |
| | | int dim_w = (random_val + (init_w / 32 - 5)) * 32; // +-160 |
| | | int dim_h = (random_val + (init_h / 32 - 5)) * 32; // +-160 |
| | | |
| | | //int random_val = rand() % 12; |
| | | //int dim_w = (random_val + (init_w / 32 - 5)) * 32; // +-160 |
| | | //int dim_h = (random_val + (init_h / 32 - 5)) * 32; // +-160 |
| | | |
| | | float random_val = rand_scale(1.4); // *x or /x |
| | | int dim_w = roundl(random_val*init_w / 32) * 32; |
| | | int dim_h = roundl(random_val*init_h / 32) * 32; |
| | | |
| | | if (dim_w < 32) dim_w = 32; |
| | | if (dim_h < 32) dim_h = 32; |
| | | |
| | |
| | | if(strlen(filename) > 0) |
| | | if (filename[strlen(filename) - 1] == 0x0d) filename[strlen(filename) - 1] = 0; |
| | | demo(cfg, weights, thresh, hier_thresh, cam_index, filename, names, classes, frame_skip, prefix, out_filename, |
| | | http_stream_port, dont_show); |
| | | http_stream_port, dont_show, ext_output); |
| | | } |
| | | else printf(" There isn't such command: %s", argv[2]); |
| | | } |
| | |
| | | const int best_class = selected_detections[i].best_class; |
| | | printf("%s: %.0f%%", names[best_class], selected_detections[i].det.prob[best_class] * 100); |
| | | if (ext_output) |
| | | printf("\t(left: %.0f \ttop: %.0f \tw: %0.f \th: %0.f)\n", |
| | | printf("\t(left: %4.0f top: %4.0f w: %4.0f h: %4.0f)\n", |
| | | (selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w, |
| | | (selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h, |
| | | selected_detections[i].det.bbox.w*im.w, selected_detections[i].det.bbox.h*im.h); |
| | |
| | | |
| | | #ifdef OPENCV |
| | | |
| | | void draw_detections_cv_v3(IplImage* show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes) |
| | | void draw_detections_cv_v3(IplImage* show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output) |
| | | { |
| | | int i, j; |
| | | if (!show_img) return; |
| | |
| | | strcat(labelstr, ", "); |
| | | strcat(labelstr, names[j]); |
| | | } |
| | | printf("%s: %.0f%%\n", names[j], dets[i].prob[j] * 100); |
| | | printf("%s: %.0f%% ", names[j], dets[i].prob[j] * 100); |
| | | } |
| | | } |
| | | if (class_id >= 0) { |
| | | int width = show_img->height * .006; |
| | | |
| | | /* |
| | | if(0){ |
| | | width = pow(prob, 1./2.)*10+1; |
| | | alphabet = 0; |
| | | } |
| | | */ |
| | | //if(0){ |
| | | //width = pow(prob, 1./2.)*10+1; |
| | | //alphabet = 0; |
| | | //} |
| | | |
| | | //printf("%d %s: %.0f%%\n", i, names[class_id], prob*100); |
| | | int offset = class_id * 123457 % classes; |
| | |
| | | color.val[2] = blue * 256; |
| | | |
| | | // you should create directory: result_img |
| | | //static int copied_frame_id = -1; |
| | | //static IplImage* copy_img = NULL; |
| | | //if (copied_frame_id != frame_id) { |
| | | // copied_frame_id = frame_id; |
| | | // if(copy_img == NULL) copy_img = cvCreateImage(cvSize(show_img->width, show_img->height), show_img->depth, show_img->nChannels); |
| | | // cvCopy(show_img, copy_img, 0); |
| | | //} |
| | | //static int img_id = 0; |
| | | //img_id++; |
| | | //char image_name[1024]; |
| | | //sprintf(image_name, "result_img/img_%d_%d_%d.jpg", frame_id, img_id, class_id); |
| | | //CvRect rect = cvRect(pt1.x, pt1.y, pt2.x - pt1.x, pt2.y - pt1.y); |
| | | //cvSetImageROI(show_img, rect); |
| | | //cvSaveImage(image_name, show_img, 0); |
| | | //cvResetImageROI(show_img); |
| | | //cvSetImageROI(copy_img, rect); |
| | | //cvSaveImage(image_name, copy_img, 0); |
| | | //cvResetImageROI(copy_img); |
| | | |
| | | cvRectangle(show_img, pt1, pt2, color, width, 8, 0); |
| | | //printf("left=%d, right=%d, top=%d, bottom=%d, obj_id=%d, obj=%s \n", left, right, top, bot, class_id, names[class_id]); |
| | | if (ext_output) |
| | | printf(" (left: %4.0f top: %4.0f w: %4.0f h: %4.0f)\n", |
| | | (float)left, (float)right, b.w*show_img->width, b.h*show_img->height); |
| | | else |
| | | printf("\n"); |
| | | cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, width, 8, 0); |
| | | cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, CV_FILLED, 8, 0); // filled |
| | | CvScalar black_color; |