BeatCET6

Identify marked words in photo.

Introduction

BeatCET6 aims to identify the words marked in photo, and translate them into chinese.

For example, if input is:

Output will be: water: 水

Keywords

identify mark words, identify underline words, detect, underlined, signed, identify photos

Example

1. original photo:

2. after processed:

3. result:
   

Usage

1. put your image to the dir that a.py lying
2. change origin_path in a.py config part
3. change r,g,b that match your mark color
4. python a.py

Require

pip install pytesseract

Doc

See Wiki

Powered By

• python-pillow/Pillow
• sirfz/tesserocr
• terryyin/google-translate-python

Credits

Made with ❤ by Kyshel
MIT License