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tf2-crnn's Introduction

TF-2 CRNN

CNN + RNN for Scene Text Recognition implemented using tf2 keras module. Mostly based on this and this repo. The project code is written as simply as I could. This is to make it easy to understand and debug. Also to get to know the tf2 keras module better.

Project structure:

  1. Model. The model definition and architecture.
  2. Training. Code for training.
  3. Test. Code for testing the pre-trained model.
  4. Utils. All the utility functions used.

Results

Loss of the pre-trained model.

Some examples of pre-trained model at work.

image recognition
Rick
MORTY
pontifically
Sparkling
Bombastic
Croons
Testicles

TODO

  • pre-train the model on more data
  • visualize training progress

tf2-crnn's People

Contributors

raidasgrisk avatar

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