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EAST-based OCR detector API

Project description

Installation

pip install manuscript-ocr

Usage Example

from PIL import Image
from manuscript.detectors import EASTInfer

# Инициализация
det = EASTInfer(score_thresh=0.9)

# Инфер с визуализацией
page, vis_image = det.infer(r"example\ocr_example_image.jpg", vis=True)

print(page)

# Покажет картинку с наложенными боксами
Image.fromarray(vis_image).show()

# Или сохранить результат на диск:
Image.fromarray(vis_image).save(r"example\ocr_example_image_infer.png")

Результат

Текстовые блоки будут выведены в консоль, например:

Page(blocks=[Block(words=[Word(polygon=[(874.1005, 909.1005), (966.8995, 909.1005), (966.8995, 956.8995), (874.1005, 956.8995)]),
                          Word(polygon=[(849.1234, 810.5678), … ])])])

А визуализация сохранится в файл example/ocr_example_image_infer.png:

OCR Inference Result

pip install -r requirements-gpu.txt --force-reinstall

pip install --pre triton --index-url https://download.pytorch.org/whl/nightly/cu118

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