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andyjpaddle 738ff190dd update doc for whl and python cpp infer quick		2022-04-29 03:38:59 +00:00
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docker/hubserving	Correct some spellings & links.	2022-01-11 16:04:24 +08:00
hubserving	change rec_batch_num from 30 to 6 in hubserving	2022-04-08 08:10:54 +00:00
ios_demo	add ios demo	2022-03-21 09:14:49 +00:00
lite	update	2022-04-21 05:24:31 +00:00
paddle2onnx	update	2022-04-21 05:24:31 +00:00
paddlejs	update	2022-04-21 05:24:31 +00:00
pdserving	update result img	2022-04-12 03:28:15 +00:00
slim	fix log (#6086 )	2022-04-28 18:04:05 +08:00
README.md	update docs	2022-04-27 10:59:49 +00:00
README_ch.md	update docs	2022-04-27 10:59:49 +00:00

README.md

English | 简体中文

PP-OCR Deployment

Paddle Deployment Introduction
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/Metal ARM GPU)
Paddle.js
Jetson Inference
XPU 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。