Views
No views yet
1>>> from onnxtr.io import DocumentFile
2>>> from onnxtr.models import ocr_predictor, from_hub
3
4>>> img = DocumentFile.from_images(['<image_path>'])
5>>> # Load your model from the hub
6>>> model = from_hub('onnxtr/my-model')
7
8>>> # Pass it to the predictor
9>>> # If your model is a recognition model:
10>>> predictor = ocr_predictor(det_arch='db_mobilenet_v3_large',
11>>> reco_arch=model)
12
13>>> # If your model is a detection model:
14>>> predictor = ocr_predictor(det_arch=model,
15>>> reco_arch='crnn_mobilenet_v3_small')
16
17>>> # Get your predictions
18>>> res = predictor(img)1>>> from onnxtr.models import from_hub, layout_predictor, table_predictor
2
3>>> model = from_hub('onnxtr/my-model')
4>>> # If your model is a layout model:
5>>> predictor = layout_predictor(arch=model)
6>>> # If your model is a table structure model:
7>>> predictor = table_predictor(arch=model)