Mmodlist

detector = dlib.train_simple_object_detector(images, mmodlists, options) img = dlib.load_rgb_image("test.jpg") dets = detector(img) for det in dets: print(f"Class det.label at det.rect, score det.detection_confidence")

# Convert simple rectangle list to mmodlist with default label 0 def to_mmodlist(rect_list, label=0): return [dlib.mmod_rect(r, label=label, ignore=False) for r in rect_list] Reverse conversion (strip labels/ignore): mmodlist

This guide covers the conceptual, practical, and edge-case behaviors of mmodlist in dlib's MMOD system. detector = dlib

options = dlib.simple_object_detector_training_options() options.C = 1 options.num_threads = 8 options.add_left_right_image_flips = True detector = dlib.train_simple_object_detector(images

std::vector<mmod_rect> mmodlist; mmod_rect mr; mr.rect = rectangle(10,20,50,80); mr.label = 0; mr.ignore = false; mmodlist.push_back(mr);