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For MPRNet, the training size is (1, 3, 256, 256) and the base size is 1.5 times lager than training size (i.e., 384). You can tu ne this hyper-parameter in your dataset.
Note: The current Local_Base only supports global avgpool and Instance Normalization.
Thank you for your sharing.
If I have a trained dehazing network ready, How can I incorporate TLC into my test code
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