Belval / Crnn
Licence: mit
A TensorFlow implementation of https://github.com/bgshih/crnn
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This repository has been archived. Please see all the other (much better) implementations around GitHub
CRNN
A TensorFlow implementation of https://github.com/bgshih/crnn
But what is a CRNN?
It is a Convolutional Recurrent Neural Network that can be used as an OCR
Requirements
- Tensorflow (tested with 1.8)
pip3 install tensorflow
- Scipy
pip3 install scipy
What training data was used?
All training data (200 000 examples) were generated using my other project https://github.com/Belval/TextRecognitionDataGenerator
To do the same, simply install that project with pip (pip install trdg) and do trdg -c 200000 -w 1 -t 8. -t should be your processor thread count.
Pretrained model
Available in CRNN/save. Use python3 run.py -ex ../data/test --test --restore to test.
Specify charset
You can specify charset to include only numbers python run.py --train -ex ../data/test -it 50000 -cs 0123456789
Results
It works but is a suboptimal solution for OCR in its current form as it makes some mistakes. Do note that I used a bigger char vector than the paper.
For fun, here are a list of words with their prediction:
| Ground truth |
Prediction |
Image |
| retardates |
retardates |
 |
| pay-roller |
poy-roler |
 |
| rhizopodist |
rhizospodist |
 |
| theriacas |
trenagas |
 |
| semantically |
semanticaly |
 |
| dualistic |
duaistic |
 |
| high-flying |
highi-fling |
 |
| grossify |
grsity |
 |
| scutular |
scutular |
 |
| crispened |
crispened |
 |
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