A clear and maintainable implementation of Attention OCR in Tensorflow 2.0.
This sequence to sequence OCR model aims to provide a clear and maintainable implementation of attention based OCR.
Please note that this is currently a work in progress. Documentation is missing, but will be added when the code is stable.
This repository depends upon the following:
- Tensorflow 2.0
- Python 3.6+
This work is based on the following work:
- Make image height variable
- Name all input and output tensors
- Write unit tests with full coverage
- Show a test case on google colab
- Perform a grid search on best parameters for a toy dataset
- Document the whole API