dgs.utils.config.DEF_VAL

dgs.utils.config.DEF_VAL: dict[str, any] = {'alpha': {'act_func': None}, 'base': {'description': '', 'log_dir': './results/', 'log_dir_add_date': True, 'log_dir_suffix': '', 'precision': 'float32', 'print_prio': 'INFO'}, 'combine': {'softmax': True}, 'cross_entropy_loss': {'label_smoothing': 0.1}, 'dataloader': {'batch_size': 16, 'collate_fn': None, 'drop_last': False, 'shuffle': False, 'workers': 0}, 'dataset': {'MOT': {'crop_key': 'Crops', 'file_separator': ',\\s?', 'seqinfo_path': None, 'space_around_delimiters': False}, 'crops_folder': '', 'force_img_reshape': False, 'kprcnn': {'iou_threshold': 0.6, 'score_threshold': 0.3}, 'pt21': {'check_img_sizes': False, 'load_img_crops': True}}, 'dgs': {'new_track_weight': 0.0}, 'embed_gen': {'embedding_key': 'embedding', 'pose': {'KPCPBEG': {'bbox_format': 'XYWH', 'bias': True, 'hidden_layers': [], 'hidden_layers_kp': [], 'nof_kernels': 5}, 'LPBEG': {'bbox_format': 'XYWH', 'bias': True, 'hidden_layers': []}}, 'save_embeddings': True, 'torchreid': {'image_key': 'image_crop', 'weights': 'pretrained'}}, 'engine': {'dgs': {'acc_k_eval': [1, 5, 10, 20, 50], 'acc_k_train': [1, 5, 10, 20, 50], 'draw_kwargs': {}, 'eval_accuracy': True, 'save_images': True, 'show_keypoints': True, 'show_skeleton': True}, 'test': {'normalize': False}, 'train': {'epochs': 1, 'load_image_crops': True, 'loss_kwargs': {}, 'optim_kwargs': {'lr': 0.0001}, 'save_interval': 5, 'scheduler': 'StepLR', 'scheduler_kwargs': {'gamma"': 0.1, 'step_size': 1}, 'start_epoch': 1}, 'visual': {'image_key': 'image_crop', 'metric_kwargs': {}, 'topk_acc': [1], 'topk_cmc': [1, 5, 10, 20], 'write_embeds': [False, False]}, 'writer_kwargs': {}, 'writer_log_dir_suffix': ''}, 'images': {'aspect_mode': 'zero-pad', 'aspect_round_decimals': 2, 'bbox_min_size': 50.0, 'crop_mode': 'zero-pad', 'crop_size': (256, 256), 'force_reshape': False, 'image_mode': 'zero-pad', 'image_size': (1024, 1024), 'jpeg_quality': 90}, 'similarity': {'oks': {'kp_dim': 2}, 'softmax': True, 'torchreid': {'sim_kwargs': {}}}, 'submission': {'MOT': {'bbox_decimals': 3, 'score_decimals': 3, 'seqinfo_key': 'Sequence'}, 'file': './submission.json'}, 'track': {'N': 5}, 'tracks': {'inactivity_threshold': 30}, 'video_dataset': {'num_threads': 0, 'stream': 'video', 'video_backend': 'pyav'}}

Default values and parameters.