# actscene-ocr
日本語の各種書類向けに最適化した OCR ライブラリ
## インストール
```
pip install actscene-ocr
```
## 使い方
```python
from actscene_ocr import ActsceneOCR
ocr = ActsceneOCR()
# 基本的な使い方（画像パス + max_segment_pixels のみ）
result = ocr.shaken("/path/to/image.jpg")
# 全メソッド一覧
res1 = ocr.shaken_kiroku("/path/to/image.jpg")
# -> {"所有者の氏名又は名称": "", "所有者の住所": "", "自動車登録番号又は車両番号": "",
# "初度登録年月": "", "有効期限の満了する日": "", "車台番号": ""}
res2 = ocr.shaken("/path/to/image.jpg")
# -> {"使用者の氏名又は名称": "", "自動車登録番号又は車両番号": "",
# "初度登録年月": "", "車台番号": ""}
res3 = ocr.recycle("/path/to/image.jpg")
# -> {"預託金額合計": "", "車台番号": ""}
res4 = ocr.jouto("/path/to/image.jpg")
# -> {"譲渡人及び譲受人の氏名又は名称及び住所": ""}
res5 = ocr.jibaiseki("/path/to/image.jpg")
# -> {"車台番号": "", "保険期間至": ""}
res6 = ocr.inkan("/path/to/image.jpg")
# -> {"氏名": "", "住所": ""}
res7 = ocr.inin("/path/to/image.jpg")
# -> {"委任人の氏名又は名称及び住所": ""}
```
### 共通引数
- `image`: 画像パス、`numpy.ndarray`、`PIL.Image.Image` のいずれか
- `max_segment_pixels`: セグメントの最大ピクセル数（既定 1,000,000）
- `debug_dir`: デバッグ画像の出力先ディレクトリ（省略可）
## ライセンス
MIT
Raw data
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