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This repo is about to implement diffrent kinds of modern toolkits to detect and recognize texts in image. In the repo so far, I used DB and CRNN (implemented in mmocr) and also, I tried a simple CRNN model written in Keras for recognizing text, which is much depended on this
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Let's start with:
git clone https://github.com/manhph2211/ICDAR-2015.git
cd ICDAR-2015
bash bash.sh
- This implement uses datasets from ICDAR-2015 competiton. You can download data from the offical website (in the task 4.1 & 4.3). All zip files should be unzipped at
/data
cd mmocr
python3 ./tools/train.py ../detector.py
- With crnn-mmocr:
cd mmocr
python3 ./tools/train.py ../recognizer.py
- With simple CRNN(Keras), just run
python3 train.py