2021-01-24 19:16:37 +08:00
2021-01-22 20:07:26 +08:00
2021-01-24 19:16:37 +08:00
2021-01-17 22:13:44 +08:00
2021-01-24 10:24:46 +08:00
2021-01-17 22:13:44 +08:00
2021-01-17 22:13:44 +08:00
2021-01-24 06:33:25 +08:00
2021-01-24 07:05:27 +08:00
2021-01-17 22:13:44 +08:00
2021-01-17 22:13:44 +08:00
2021-01-23 20:20:44 +08:00
2021-01-22 20:21:55 +08:00
2021-01-23 16:18:43 +08:00
2021-01-16 15:22:20 +08:00
2021-01-24 19:15:27 +08:00
2021-01-17 22:13:44 +08:00
2021-01-24 18:46:09 +08:00
2021-01-24 16:42:08 +08:00
2021-01-18 18:47:15 +08:00
2021-01-21 17:53:03 +08:00

访问: 中文版 Chinese Name: 白富美OCR

Special thanks to Channingss@baidu (the owner of project Paddle2Onnx)

Directory structure

Click to see 目录结构

Copyright announcement:

If you use or reference code or code snippet from the repository, please add our url

https://github.com/znsoftm/BaiPiaoOCR in your prodouct derived from the repository.

Author:

benjaminwan, znsoftm

All contributors is in the contributor list on the right side of this page.

Description

BaiPiaoOCR means an OCR Engine who is fair-skinned, rich and beautiful from Baidu, it's based on PaddleOCR & OnnxRuntime.

Note: The project is derived from https://github.com/PaddlePaddle/PaddleOCR

We create the project to transfer PaddleOCR's model into the version of Onnx model to deploy the model on almost every devices, such as x86 PC, Android & IOS.

We are using Paddle2ONNX (https://github.com/PaddlePaddle/Paddle2ONNX) to transform it to Onnx format.

You can visualize the model by https://github.com/lutzroeder/netron/

Welcome to our Group on QQ: 887298230 or visit: https://jq.qq.com/?_wv=1027&k=P9b3olx6 to join us.

Download OCR models:

Linkage :https://pan.baidu.com/s/1UhDrC7iOMWiYaQiHk3acdw 

code:yjgv 

Also you can download demonstration APPs and their projects from our baidu netdisk with the above link.

Demonstration with C++/JVM

avatar

Demonstration with .Net

avatar

S
Description
RapidOCR - lightweight ONNX OCR
Readme Apache-2.0
74 MiB
0 Stars 1 Watchers 0 Forks
Languages
Python 81.3%
Jupyter Notebook 18.6%
Makefile 0.1%