Instructions to use PaddlePaddle/PicoDet-L_layout_3cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PicoDet-L_layout_3cls 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="PicoDet-L_layout_3cls") 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:
- 9c3dbddec32e8f6b77e5c1bdb818cb84093118a3b8b47445fee9f9361026f6a6
- Size of remote file:
- 23.3 MB
- SHA256:
- 4baf2b29fdc3f8c4247f89b1126d267aa103463d1ed6e76068b073c8b0806c36
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