ult.sort(key=lambda x: x[1], reverse=True) results.append(result) return results def predict(img_dir, model): img_files = [] for root, dirs, files in os.walk(img_dir, topdown=False): for name in files: img_files.append(os.path.join(root, name)) img_files = sorted(img_files)