tr - Text Recognition

Tested under Python3 with Ubuntu 16.04 and Ubuntu 18.04

一款针对扫描文档的离线文本识别SDK，核心代码全部采用C++开发，并提供Python接口

说明

经过半年时间的测试与bug修复，目前本软件运行稳定，可放心在实际项目中使用
授权协议：Apache License, Version 2.0

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TODO

• Use ONNX Runtime instead of libtorch

Requirements

pip install numpy Pillow opencv-python

Install

• 安装方法一

git clone https://github.com/myhub/tr.git
cd ./tr
sudo python setup.py install

• 安装方法二

pip install git+https://github.com/myhub/tr.git@master

• 测试是否安装成功

python test.py
python test_angle.py

关联项目

• 若需要Web端调用，推荐参考TrWebOCR

How To Use?

import tr

# detect text lines, return list of (x, y, width, height)
print(tr.detect("imgs/web.png"))

# detect text lines with angle, return list of (cx, cy, width, height, angle)
print(tr.detect("imgs/id_card.jpeg", tr.FLAG_ROTATED_RECT))

# recognize text line, return (text, confidence)
print(tr.recognize("imgs/line.png"))

# detect and recognize text lines, return list of ((x, y, width, height), text, confidence)
print(tr.run("imgs/name_card.jpg"))

# detect and recognize text lines with angle, return list of ((cx, cy, width, height, angle), text, confidence)
print(tr.run_angle("imgs/id_card.jpeg"))

效果展示

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