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Seems like there is a slight restriction on input image size. When i input an image with size not equal to 512 x 512 (could be smaller, could be larger), i got the the size of tensor a (blablabla) must match the size of tensor b (blablabla) at non singleton dimension blablabla
So is there a restriction for input shape?
The text was updated successfully, but these errors were encountered:
The hourglass network expects the input resolution to be a multiple of 32 and the model is trained with 512 x 512. I recommend resizing images to 512 x 512. For other resolutions, I wouldn't expect any good results.
Seems like there is a slight restriction on input image size. When i input an image with size not equal to 512 x 512 (could be smaller, could be larger), i got the
the size of tensor a (blablabla) must match the size of tensor b (blablabla) at non singleton dimension blablabla
So is there a restriction for input shape?
The text was updated successfully, but these errors were encountered: