Instructions to use dadadasadad/PP-DocLayoutV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use dadadasadad/PP-DocLayoutV2 with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import LayoutDetection model = LayoutDetection(model_name="PP-DocLayoutV2") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41846ab956b26512daf1313887232fa11af67bb9421cab75915473438948d8ea
- Size of remote file:
- 212 MB
- SHA256:
- 45404a84c9fdf91d7bbc94bd47ac4c03649bda84167de04c62bff4726657869a
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