Add scripts

LICENSE.txt

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+Dataset License (CC0, JP glyphs + EN descriptions)
+
+Copyright (c) 2025 YOUR_NAME
+All images (Japanese text) and English descriptions are synthetic and authored by the dataset creator.
+Released under CC0-1.0 (Public Domain Dedication).

safe_text_image_pairs_ja_en_txt_per_image.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+日本語文字画像 + 英語説明文（CC0）
+・日本語文字列は外部ファイルから読み込み（1行1語）
+・背景は白、文字は黒で固定
+・説明文は色を明記
+・出力は train/ 直下
+"""
+
+import csv, random, argparse, hashlib, datetime
+from pathlib import Path
+from dataclasses import dataclass
+from PIL import Image, ImageDraw, ImageFont
+import numpy as np
+
+# --------------------
+# 定数
+# --------------------
+DEFAULT_FONTS_DIR = Path("./fonts")
+TRAIN_DIR         = Path("./train")
+LINE_SPACING      = 1.25
+
+@dataclass
+class Example:
+    jp_text: str
+    en_desc: str
+
+# --------------------
+# 外部ファイルから単語読み込み
+# --------------------
+def load_words(file_path: Path):
+    if not file_path.exists():
+        raise FileNotFoundError(f"指定された単語ファイルが見つかりません: {file_path}")
+    with open(file_path, "r", encoding="utf-8") as f:
+        words = [line.strip() for line in f if line.strip()]
+    if not words:
+        raise ValueError(f"単語ファイルが空です: {file_path}")
+    return words
+
+# --------------------
+# データ生成
+# --------------------
+def gen_examples(n:int, seed:int, words:list[str]):
+    random.seed(seed)
+    exs = []
+    for _ in range(n):
+        jp = random.choice(words)
+        desc = f'This image is saying "{jp}". The background is white. The letter is black.'
+        exs.append(Example(jp_text=jp, en_desc=desc))
+    return exs
+
+# --------------------
+# フォント
+# --------------------
+def list_fonts(font_dir:Path):
+    fonts = [p for p in font_dir.glob("*") if p.suffix.lower() in (".ttf",".otf",".ttc",".otc")]
+    if not fonts:
+        raise FileNotFoundError(f"フォントが見つかりません: {font_dir} にOFL/PDの日本語フォントを置いてください")
+    return fonts
+
+# --------------------
+# 描画（背景：白、文字：黒）
+# --------------------
+def draw_horizontal(text, font_path:Path, size, max_font_size, min_font_size, margin_px):
+    W,H = size
+    img = Image.new("RGB", (W,H), (255,255,255))  # 白背景
+    draw = ImageDraw.Draw(img)
+    for fs in range(max_font_size, min_font_size-1, -2):
+        font = ImageFont.truetype(str(font_path), fs)
+        bbox = draw.textbbox((0,0), text, font=font)
+        w, h = bbox[2] - bbox[0], bbox[3] - bbox[1]
+        if w <= W - 2*margin_px and h <= H - 2*margin_px:
+            break
+    x = (W - w)//2
+    y = (H - h)//2
+    draw.text((x, y), text, font=font, fill=(0,0,0))  # 黒
+    return img
+
+def draw_vertical(text, font_path:Path, size, max_font_size, min_font_size, margin_px):
+    W,H = size
+    img = Image.new("RGB", (W,H), (255,255,255))  # 白背景
+    draw = ImageDraw.Draw(img)
+    for fs in range(max_font_size, min_font_size-1, -2):
+        font = ImageFont.truetype(str(font_path), fs)
+        line_h = font.getbbox("Hg")[3] - font.getbbox("Hg")[1]
+        step = int(line_h * LINE_SPACING)
+        total_h = len(text) * step if text else step
+        if text:
+            widths = []
+            for c in text:
+                cb = draw.textbbox((0,0), c, font=font)
+                widths.append(cb[2] - cb[0])
+            col_w = max(widths)
+        else:
+            cb = draw.textbbox((0,0), "あ", font=font)
+            col_w = cb[2] - cb[0]
+        if col_w <= W - 2*margin_px and total_h <= H - 2*margin_px:
+            break
+    x = (W - col_w)//2
+    y = (H - total_h)//2
+    for i, ch in enumerate(text):
+        draw.text((x, y + i*step), ch, font=font, fill=(0,0,0))  # 黒
+    return img
+
+# --------------------
+# その他
+# --------------------
+def sha1_of_text(t:str)->str:
+    import hashlib
+    return hashlib.sha1(t.encode("utf-8")).hexdigest()[:16]
+
+def write_license_file():
+    text = f"""Dataset License (CC0, JP glyphs + EN descriptions)
+
+Copyright (c) {datetime.date.today().year} YOUR_NAME
+All images (Japanese text) and English descriptions are synthetic and authored by the dataset creator.
+Released under CC0-1.0 (Public Domain Dedication).
+"""
+    Path("./LICENSE.txt").write_text(text, encoding="utf-8")
+
+def append_assets_registry(font_paths):
+    reg_path = Path("./provenance/assets_registry.csv")
+    reg_path.parent.mkdir(parents=True, exist_ok=True)
+    new = not reg_path.exists()
+    with open(reg_path, "a", newline="", encoding="utf-8") as f:
+        w = csv.writer(f)
+        if new:
+            w.writerow(["asset_type","path","license","notes"])
+        for p in font_paths:
+            w.writerow(["font", str(p), "SIL Open Font License (assumed)", "同梱時は各フォントのLICENSEを添付"])
+
+# --------------------
+# メイン
+# --------------------
+def main(n_train, seed, mode, img_size, max_font_size, min_font_size, margin_px, words_file):
+    random.seed(seed); np.random.seed(seed)
+    TRAIN_DIR.mkdir(parents=True, exist_ok=True)
+    write_license_file()
+    fonts = list_fonts(DEFAULT_FONTS_DIR)
+    append_assets_registry(fonts)
+
+    # 外部ファイルから単語リスト読み込み
+    words = load_words(words_file)
+
+    def render(jp_text, font_path, writing_mode):
+        if writing_mode == "horizontal":
+            return draw_horizontal(jp_text, font_path, img_size, max_font_size, min_font_size, margin_px)
+        elif writing_mode == "vertical":
+            return draw_vertical(jp_text, font_path, img_size, max_font_size, min_font_size, margin_px)
+
+    exs = gen_examples(n_train, seed, words)
+    for i, ex in enumerate(exs):
+        font = random.choice(fonts)
+        writing_mode = random.choice(["horizontal","vertical"]) if mode=="both" else mode
+        img = render(ex.jp_text, font, writing_mode)
+        uid = sha1_of_text(f"{i}-{ex.jp_text}-{font.name}-{writing_mode}-{img_size}-{max_font_size}-{min_font_size}")
+        img_path = TRAIN_DIR/f"{uid}.png"
+        txt_path = TRAIN_DIR/f"{uid}.txt"
+        img.save(img_path)
+        txt_path.write_text(ex.en_desc, encoding="utf-8")
+
+    print(f"Done. {n_train} samples in {TRAIN_DIR}")
+
+if __name__ == "__main__":
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--n_train", type=int, default=1000)
+    ap.add_argument("--seed", type=int, default=0)
+    ap.add_argument("--mode", type=str, default="both", choices=["horizontal","vertical","both"])
+    ap.add_argument("--img_size", type=int, nargs=2, metavar=("WIDTH","HEIGHT"), default=(640,640))
+    ap.add_argument("--max_font_size", type=int, default=54)
+    ap.add_argument("--min_font_size", type=int, default=28)
+    ap.add_argument("--margin_px", type=int, default=28)
+    ap.add_argument("--words_file", type=Path, required=True, help="日本語単語リストファイル（UTF-8, 1行1語）")
+    args = ap.parse_args()
+    main(args.n_train, args.seed, args.mode, tuple(args.img_size), args.max_font_size, args.min_font_size, args.margin_px, args.words_file)
+