readme: 
  ---
  language: cz
  ---
  **Optical Character Recognition made seamless & accessible to anyone, powered by PyTorch**
  
  ## Task: recognition
  ### 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_resnet50',
  >>>                           reco_arch=model,
  >>>                           pretrained=True)
  
  >>> # Get your predictions
  >>> res = predictor(img)
  ```
  
  Training configuration and logs: https://wandb.ai/xbankov/text-recognition
  ### Run Configuration
  
  {
    "hf_dataset_name": "fimu-docproc-research/born_digital_recognition",
    "name": "master_250_512_32_0.00711026024243061_0.017221138239850567_constant_da2de2d1_f3c04964",
    "epochs": 250,
    "lr": 0.00711026024243061,
    "weight_decay": 0.017221138239850567,
    "batch_size": 512,
    "input_size": 32,
    "sched": "constant",
    "sample": null,
    "workers": 16,
    "wb": true,
    "push_to_hub": "fimu-docproc-research/master",
    "test_only": false,
    "arch": "master"
  }