README.md

---
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": "vitstr_small_10_512_32_0.07510091396452692_0.08993428426580115_cosine_da2de2d1_f3c04964",
  "epochs": 10,
  "lr": 0.07510091396452692,
  "weight_decay": 0.08993428426580115,
  "batch_size": 512,
  "input_size": 32,
  "sched": "cosine",
  "sample": null,
  "workers": 16,
  "wb": true,
  "push_to_hub": "fimu-docproc-research/vitstr_small",
  "test_only": false,
  "arch": "vitstr_small"
}