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  A CRNN model for Persian OCR. This model is based on a simple CNN + LSTM architecture inspired by [this paper](https://arxiv.org/abs/1507.05717).
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  More info about data and training will be provided soon.
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  #### Usage
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  ```
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  pip install hezar
 
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  A CRNN model for Persian OCR. This model is based on a simple CNN + LSTM architecture inspired by [this paper](https://arxiv.org/abs/1507.05717).
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  More info about data and training will be provided soon.
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+ Note that this model is only optimized for scanned documents and supports input characters of up to 32 (For an end-to-end OCR pipeline, use a text detector
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+ model first to extract text boxes preferrably in word-level and then use this model), but it can be used to be fine-tuned on other domains like license plate
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+ or handwritten texts.
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+
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  #### Usage
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  ```
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  pip install hezar