Need help with Text-Image-Augmentation-python?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

RubanSeven
178 Stars 38 Forks Apache License 2.0 7 Commits 4 Opened issues

Description

Python implementation of Text-Image-Augmentation

Services available

!
?

Need anything else?

Contributors list

# 204,867
Python
text-de...
ocr
5 commits
# 44,606
Python
Shell
python3
text-de...
1 commit

Text Image Augmentation

Build Status

A general geometric augmentation tool for text images in the CVPR 2020 paper "Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition". We provide the tool to avoid overfitting and gain robustness of text recognizers.

Note that this is a general toolkit. Please customize for your specific task. If the repo benefits your work, please cite the papers.

Requirements

Demo

  • Distortion

  • Stretch

  • Perspective

Speed

To transform an image with size (H:64, W:200), it takes less than 14ms using a 2.5GHz CPU. It is possible to accelerate the process by calling multi-process batch samplers in an on-the-fly manner, such as setting \"num_workers\" in PyTorch.

Attention

Modify from https://github.com/Canjie-Luo/Text-Image-Augmentation.git.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.