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可能是由于输入的图像尺寸在不同的卷积操作之后变得尺寸不一样,我原来的图像是700700就报错,但把输入的图像统一resize成256256之后就可以了
from unet-nested-multiple-classification.
I get a similar error (see below), when I try to run it on images of the input size 1080x3840.
Does this Unet only accept quadratic input shapes or how can I avoid this error? Thanks in advance
RuntimeError: Sizes of tensors must match except in dimension 2. Got 134 and 135 (The offending index is 0)
I also rescaled my images and masks to a multiple of 16, but got the same error...
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