* [docs]:添加了对于Paddle2ONNX模型转化中选项--input_shape_dict的解释说明与解决方法 * Update readme_ch.md [docs]:使用onnxsim修改input_shape可以兼容paddlepaddle现版本 * Update readme_ch.md 修改了不恰当的相关描述 * Rename inference_ch.md to inference.md 修改了中文版模型导出说明inference_ch.md命名为inference.md * Update readme_ch.md 修改不恰当表述 * Update readme_ch.md 修改所有python3.7为python3 * update readme --------- Co-authored-by: Wang Xin <xinwang614@gmail.com> |
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Jetson | ||
android_demo | ||
avh | ||
cpp_infer | ||
docker/hubserving | ||
fastdeploy | ||
hubserving | ||
ios_demo | ||
lite | ||
paddle2onnx | ||
paddlecloud | ||
paddlejs | ||
pdserving | ||
slim | ||
README.md | ||
README_ch.md |
README.md
English | 简体中文
PP-OCR Deployment
Paddle Deployment Introduction
Paddle provides a variety of deployment schemes to meet the deployment requirements of different scenarios. Please choose according to the actual situation:

PP-OCR Deployment
PP-OCR has supported muti deployment schemes. Click the link to get the specific tutorial.
- Python Inference
- C++ Inference
- Serving (Python/C++)
- Paddle-Lite (ARM CPU/OpenCL ARM GPU)
- Paddle.js
- Jetson Inference
- Paddle2ONNX
If you need the deployment tutorial of academic algorithm models other than PP-OCR, please directly enter the main page of corresponding algorithms, entrance。