Object Detection
ONNX
PaddleOCR
English
Chinese
multilingual
onnxruntime
pp_doclayout_v3
PaddlePaddle
image-segmentation
ocr
layout
layout_detection
Instructions to use ningpp/PP-DocLayoutV3-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use ningpp/PP-DocLayoutV3-ONNX 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-DocLayoutV3-ONNX") 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:
- 16c1156727d3f1688b6f7197b1c55dd3854290547fb2629e99e1014fc23a39fb
- Size of remote file:
- 134 MB
- SHA256:
- 1fdd41ef5d97509e7b654d4d52bfd7eb741d7a746b3227fbf0ac767873b3c569
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