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Classifier Model trained on tensorflow efficientnetb0 architecture on 224*224 images with 3 channels and this model converted to .onnx format.
Then, .onnx to pytorch model in .pth format.
While loading a model on 224*224 images getting an error like RuntimeError: Given groups=1, weight of size [32, 3, 3, 3], expected input[1, 224, 4, 225] to have 3 channels, but got 224 channels instead
The text was updated successfully, but these errors were encountered:
RuntimeError: Given groups=1, weight of size [32, 3, 3, 3], expected input[1, 224, 4, 225] to have 3 channels, but got 224 channels instead
The text was updated successfully, but these errors were encountered: