24 lines
965 B
Markdown
24 lines
965 B
Markdown
---
|
|
comments: true
|
|
---
|
|
|
|
# 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 has supported muti deployment schemes. Click the link to get the specific tutorial.
|
|
|
|
- [Python Inference](./python_infer.en.md)
|
|
- [C++ Inference](./cpp_infer.en.md)
|
|
- [Serving (Python/C++)](./paddle_server.en.md)
|
|
- [Paddle-Lite (ARM CPU/OpenCL ARM GPU)](../../ppocr/infer_deploy/lite.en.md)
|
|
- [Paddle.js](../../ppocr/infer_deploy/paddle_js.en.md)
|
|
- [Jetson Inference](../../ppocr/infer_deploy/Jetson_infer.en.md)
|
|
- [Paddle2ONNX](../../ppocr/infer_deploy/paddle2onnx.en.md)
|
|
|
|
If you need the deployment tutorial of academic algorithm models other than PP-OCR, please directly enter the main page of corresponding algorithms, [entrance](../../algorithm/overview.en.md)。
|