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At the moment, it only supports 224 x 224 , but its fairly easy to allow multi scale. The Utils function (to tensor), the model's deconvolution , and the upscaling values will need to be changed in order for this to work.
Hey @harveyslash , you could try modifying your network architecture such that it supports a Feature Pyramid Network. That is much more efficient than feeding in resized images of various scales.
Is your model multi scale ? And if so how does that work exactly ?
Any helpful links for that would be very much appreciated
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