readme: 
  ---
  language: en
  pipeline_tag: image-to-text
  ---
  
  <p align="center">
  <img src="https://github.com/mindee/doctr/releases/download/v0.3.1/Logo_doctr.gif" width="60%">
  </p>
  
  **Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch**
  
  ## Task: recognition
  
  https://github.com/mindee/doctr
  
  ### Example usage:
  
  ```python
  >>> from doctr.io import DocumentFile
  >>> from doctr.models import ocr_predictor, from_hub
  
  >>> img = DocumentFile.from_images(['<image_path>'])
  >>> # Load your model from the hub
  >>> model = from_hub('mindee/my-model')
  
  >>> # Pass it to the predictor
  >>> # If your model is a recognition model:
  >>> predictor = ocr_predictor(det_arch='db_mobilenet_v3_large',
  >>>                           reco_arch=model,
  >>>                           pretrained=True)
  
  >>> # If your model is a detection model:
  >>> predictor = ocr_predictor(det_arch=model,
  >>>                           reco_arch='crnn_mobilenet_v3_small',
  >>>                           pretrained=True)
  
  >>> # Get your predictions
  >>> res = predictor(img)
  ```
  