CRNN

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A TensorFlow implementation of https://github.com/bgshih/crnn

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최종 버전 다운로드 (.zip)

- - checkpoint
  - ckp-50.data-00000-of-00001
  - ckp-50.index
  - ckp-50.meta
- config.py
- crnn.py
- data_manager.py
- run.py
- utils.py
- 1.jpg
- 10.jpg
- 2.jpg
- 3.jpg
- 4.jpg
- 5.jpg
- 6.jpg
- 7.jpg
- 8.jpg
- 9.jpg
.gitignore
LICENSE
README.md
requirements.txt

// repository documentation

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**This repository has been archived.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:

CRNN

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