ayumiymk/aster.pytorch
A PyTorch implementation of ASTER, a neural network model for recognizing text in natural scene images.
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This repository provides a PyTorch implementation of ASTER (Attentional Scene Text Recognizer), a deep learning model for scene text recognition. It uses an attention-based encoder-decoder architecture with a rectification mechanism that transforms skewed or distorted text images before recognition. The project includes training scripts, evaluation benchmarks on standard datasets (IIIT5k, SVT, IC03, IC13, IC15, SVTP, CUTE), and pre-trained models.
Frequently asked
- What is ayumiymk/aster.pytorch?
- A PyTorch implementation of ASTER, a neural network model for recognizing text in natural scene images.
- Is aster.pytorch open source?
- Yes — ayumiymk/aster.pytorch is open source, released under the MIT license.
- What language is aster.pytorch written in?
- ayumiymk/aster.pytorch is primarily written in Python.
- How popular is aster.pytorch?
- ayumiymk/aster.pytorch has 682 stars on GitHub.
- Where can I find aster.pytorch?
- ayumiymk/aster.pytorch is on GitHub at https://github.com/ayumiymk/aster.pytorch.