Loading zoo/ptagger/model.py +3 −3 Original line number Diff line number Diff line Loading @@ -159,8 +159,8 @@ def extract(export_dir: str, model_name: str = "tagger_v_2_2_7", no_optimize: bo s_macs, s_params = clever_format([macs, params], "%.1f") logging.info(f'Params: {s_params}, FLOPs: {s_macs}') src_repo_id = raw_model.model_version_map[model_name]['repo_id'] src_model_filename = raw_model.model_version_map[model_name]['ckpt_name'] src_repo_id = raw_model.model_version_map[raw_model.model_version]['repo_id'] src_model_filename = raw_model.model_version_map[raw_model.model_version]['ckpt_name'] with open(os.path.join(export_dir, 'meta.json'), 'w') as f: json.dump({ Loading Loading @@ -190,7 +190,7 @@ def extract(export_dir: str, model_name: str = "tagger_v_2_2_7", no_optimize: bo logging.info(f'Loaded danbooru tags pool, columns: {df_p_tags.columns!r}') d_p_tags = {(item['category'], item['name']): item for item in df_p_tags.to_dict('records')} num_classes = raw_model.model_version_map[model_name]['num_classes'] num_classes = raw_model.model_version_map[raw_model.model_version]['num_classes'] logging.info(f'Num classes: {num_classes!r}') d_tags = {v: k for k, v in raw_model.tag_map.items()} r_tags = [] Loading Loading
zoo/ptagger/model.py +3 −3 Original line number Diff line number Diff line Loading @@ -159,8 +159,8 @@ def extract(export_dir: str, model_name: str = "tagger_v_2_2_7", no_optimize: bo s_macs, s_params = clever_format([macs, params], "%.1f") logging.info(f'Params: {s_params}, FLOPs: {s_macs}') src_repo_id = raw_model.model_version_map[model_name]['repo_id'] src_model_filename = raw_model.model_version_map[model_name]['ckpt_name'] src_repo_id = raw_model.model_version_map[raw_model.model_version]['repo_id'] src_model_filename = raw_model.model_version_map[raw_model.model_version]['ckpt_name'] with open(os.path.join(export_dir, 'meta.json'), 'w') as f: json.dump({ Loading Loading @@ -190,7 +190,7 @@ def extract(export_dir: str, model_name: str = "tagger_v_2_2_7", no_optimize: bo logging.info(f'Loaded danbooru tags pool, columns: {df_p_tags.columns!r}') d_p_tags = {(item['category'], item['name']): item for item in df_p_tags.to_dict('records')} num_classes = raw_model.model_version_map[model_name]['num_classes'] num_classes = raw_model.model_version_map[raw_model.model_version]['num_classes'] logging.info(f'Num classes: {num_classes!r}') d_tags = {v: k for k, v in raw_model.tag_map.items()} r_tags = [] Loading