Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
TensorFlow convolutional recurrent neural network (CRNN) for text recognition
| Date | Stars |
|---|---|
| 2026-07-24 | 294 |
| 2026-07-25 | 294 |
| 2026-07-28 | 294 |
| 2026-07-30 | 294 |
| 2026-07-31 | 294 |
| 2026-08-06 | 294 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Text recognition with Convolutional Recurrent Neural Network and TensorFlow 2.0 (tf2-crnn)
[](https://tf-crnn.readthedocs.io/en/latest/?badge=latest)
Implementation of a Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition tasks, such as scene text recognition and OCR.
This implementation is based on Tensorflow 2.0 and uses `tf.keras` and `tf.data` modules to build the model and to handle input data.
To access the previous version implementing Shi et al. paper, go to the [v.0.5.2](https://github.com/solivr/tf-crnn/tree/v0.5.2) tag.
## Installation
`tf_crnn` makes use of `tensorflow-gpu` package (so CUDA and cuDNN are needed).
You can install it using the `environment.yml` file provided and use it within an environment.
conda env create -f environment.yml
See also the [docs](https://tf-crnn.readthedocs.io/en/latest/start/index.html#) for more information.
## Try it
Train a model with [IAM dataset](http://www.fki.inf.unibe.ch/databases/iam-handwriting-database).
**Create an account**
Create an account on the official IAM dataset page in order to access the data.
Export your credentials as enviornment variables, they will be used by the download script.
export IAM_USER=<your-username>
export IAM_PWD=<your-password>
**Generate the data in the correct format**
cd hlp
python prepare_iam.py --download_dir ../data/iam --generated_data_dir ../data/iam/generated
cd ..
**Train the model**
python training.py with config.json
More details in the [documentation](https://tf-crnn.readthedocs.io/en/latest/start/training.html#example-of-training).
Excerpt of 1,745 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3cfd358e607ee3e5, topic:tensorflow