import argparse import json from pathlib import Path from typing import List from tqdm import tqdm import library.train_util as train_util import os def main(args): assert not args.recursive or (args.recursive and args.full_path), "recursive requires full_path / recursiveはfull_pathと同時に指定してください" train_data_dir_path = Path(args.train_data_dir) image_paths: List[Path] = train_util.glob_images_pathlib(train_data_dir_path, args.recursive) print(f"found {len(image_paths)} images.") if args.in_json is None and Path(args.out_json).is_file(): args.in_json = args.out_json if args.in_json is not None: print(f"loading existing metadata: {args.in_json}") metadata = json.loads(Path(args.in_json).read_text(encoding='utf-8')) print("tags data for existing images will be overwritten / 既存の画像のタグは上書きされます") else: print("new metadata will be created / 新しいメタデータファイルが作成されます") metadata = {} print("merge tags to metadata json.") for image_path in tqdm(image_paths): tags_path = image_path.with_suffix(args.caption_extension) tags = tags_path.read_text(encoding='utf-8').strip() if not os.path.exists(tags_path): tags_path = os.path.join(image_path, args.caption_extension) image_key = str(image_path) if args.full_path else image_path.stem if image_key not in metadata: metadata[image_key] = {} metadata[image_key]['tags'] = tags if args.debug: print(image_key, tags) # metadataを書き出して終わり print(f"writing metadata: {args.out_json}") Path(args.out_json).write_text(json.dumps(metadata, indent=2), encoding='utf-8') print("done!") def setup_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser() parser.add_argument("train_data_dir", type=str, help="directory for train images / 学習画像データのディレクトリ") parser.add_argument("out_json", type=str, help="metadata file to output / メタデータファイル書き出し先") parser.add_argument("--in_json", type=str, help="metadata file to input (if omitted and out_json exists, existing out_json is read) / 読み込むメタデータファイル(省略時、out_jsonが存在すればそれを読み込む)") parser.add_argument("--full_path", action="store_true", help="use full path as image-key in metadata (supports multiple directories) / メタデータで画像キーをフルパスにする(複数の学習画像ディレクトリに対応)") parser.add_argument("--recursive", action="store_true", help="recursively look for training tags in all child folders of train_data_dir / train_data_dirのすべての子フォルダにある学習タグを再帰的に探す") parser.add_argument("--caption_extension", type=str, default=".txt", help="extension of caption (tag) file / 読み込むキャプション(タグ)ファイルの拡張子") parser.add_argument("--debug", action="store_true", help="debug mode, print tags") return parser if __name__ == '__main__': parser = setup_parser() args = parser.parse_args() main(args)