Instructions to use PaddlePaddle/PP-LCNet_x1_0_doc_ori with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-LCNet_x1_0_doc_ori with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import DocImgOrientationClassification model = DocImgOrientationClassification(model_name="PP-LCNet_x1_0_doc_ori") 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:
- 4b6dcdcfd4caf386448ce775b66281450e5e8f1fce4981c0ab200906f93ae9c4
- Size of remote file:
- 6.75 MB
- SHA256:
- e8d6e7c5d264507e40e58a655779059d616b20d7441ea22047d829eb3931989c
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