Simplified PyTorch hub for custom models (#1677)
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@ -129,7 +129,7 @@ def custom(path_or_model='path/to/model.pt'):
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if __name__ == '__main__':
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model = create(name='yolov5s', pretrained=True, channels=3, classes=80) # pretrained example
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# model = custom(model='path/to/model.pt') # custom example
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# model = custom(path_or_model='path/to/model.pt') # custom example
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model = model.autoshape() # for PIL/cv2/np inputs and NMS
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# Verify inference
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