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When I use VGG-16 as the backbone, the output dimension of the pre trained model is 512, while the required input dimension of the pre trained RPN is 256, which is not a match.
The text was updated successfully, but these errors were encountered:
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When I use VGG-16 as the backbone, the output dimension of the pre trained model is 512, while the required input dimension of the pre trained RPN is 256, which is not a match.
The text was updated successfully, but these errors were encountered: