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Thanks for sharing the excellent job!
In achieving STN, instead of the pytorch tutorials of STN, the codes adopt "kornia.geometry.transform.warp_perspective" to generate new images.
I wonder why kornia is adopted, and the differences between the methods.
The text was updated successfully, but these errors were encountered:
It should be very similar -- given that warp_perspective is based on grid sample anyway. The only difference here is we do perspective warping as opposed to affine in the original STN, but I don't think that will make a major difference in terms of outcome.
Thanks for sharing the excellent job!
In achieving STN, instead of the pytorch tutorials of STN, the codes adopt "kornia.geometry.transform.warp_perspective" to generate new images.
I wonder why kornia is adopted, and the differences between the methods.
The text was updated successfully, but these errors were encountered: