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
File size: 426 Bytes
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license: apache-2.0
pipeline_tag: object-detection
tags:
- PaddleOCR
- PaddlePaddle
- image-segmentation
- ocr
- layout
- layout_detection
language:
- en
- zh
- multilingual
library_name: onnxruntime
---
# ONNX model for [PP-DocLayoutV3_safetensors](https://huggingface.co/PaddlePaddle/PP-DocLayoutV3_safetensors)
## try with [ningpp/flux](https://github.com/ningpp/flux)
Flux is a Java-based OCR
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