language: | |
- en | |
- fr | |
license: apache-2.0 | |
<p align="center"> | |
<img src="https://github.com/felixdittrich92/OnnxTR/raw/main/docs/images/logo.jpg" width="40%"> | |
</p> | |
**Optical Character Recognition made seamless & accessible to anyone, powered by Onnxruntime** | |
## Task: detection | |
https://github.com/felixdittrich92/OnnxTR | |
### Example usage: | |
```python | |
>>> from onnxtr.io import DocumentFile | |
>>> from onnxtr.models import ocr_predictor, from_hub | |
>>> img = DocumentFile.from_images(['<image_path>']) | |
>>> # Load your model from the hub | |
>>> model = from_hub('onnxtr/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) | |
>>> # If your model is a detection model: | |
>>> predictor = ocr_predictor(det_arch=model, | |
>>> reco_arch='crnn_mobilenet_v3_small') | |
>>> # Get your predictions | |
>>> res = predictor(img) | |
``` | |