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# CRNN |
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An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition |
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Note: |
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- Model source: |
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- `text_recognition_CRNN_EN_2021sep.onnx`: https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html (CRNN_VGG_BiLSTM_CTC.onnx) |
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- `text_recognition_CRNN_CN_2021nov.onnx`: https://docs.opencv.org/4.5.2/d4/d43/tutorial_dnn_text_spotting.html (crnn_cs_CN.onnx) |
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- `text_recognition_CRNN_EN_2021sep.onnx` can detect digits (0\~9) and letters (return lowercase letters a\~z) (view `charset_36_EN.txt` for details). |
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- `text_recognition_CRNN_CN_2021nov.onnx` can detect digits (0\~9), upper/lower-case letters (a\~z and A\~Z), some Chinese characters and some special characters (view `charset_3944_CN.txt` for details). |
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- For details on training this model series, please visit https://github.com/zihaomu/deep-text-recognition-benchmark. |
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## Demo |
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***NOTE***: |
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- This demo uses [text_detection_db](../text_detection_db) as text detector. |
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- Selected model must match with the charset: |
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- Try `text_recognition_CRNN_EN_2021sep.onnx` with `charset_36_EN.txt`. |
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- Try `text_recognition_CRNN_CN_2021sep.onnx` with `charset_3944_CN.txt`. |
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Run the demo detecting English: |
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```shell |
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# detect on camera input |
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python demo.py |
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# detect on an image |
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python demo.py --input /path/to/image |
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``` |
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Run the demo detecting Chinese: |
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```shell |
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# detect on camera input |
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python demo.py --model text_recognition_CRNN_CN_2021nov.onnx --charset charset_3944_CN.txt |
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# detect on an image |
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python demo.py --input /path/to/image --model text_recognition_CRNN_CN_2021nov.onnx --charset charset_3944_CN.txt |
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``` |
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## License |
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All files in this directory are licensed under [Apache 2.0 License](./LICENSE). |
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## Reference |
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- https://arxiv.org/abs/1507.05717 |
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- https://github.com/bgshih/crnn |
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- https://github.com/meijieru/crnn.pytorch |
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- https://github.com/zihaomu/deep-text-recognition-benchmark |
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- https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html |
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