Optical Character Recognition made seamless & accessible to anyone, powered by Onnxruntime
Task: classification
https://github.com/felixdittrich92/OnnxTR
Example usage:
>>> 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)