MarekKowalski
question about AffineTransformLayer.py
hi, in my view, the AffineTransformLayer.py is used to apply the affine/similiarity transform on original training image, but why the affine transform matrix be inversed in lines 59-60?
Hi,
Yes, that is the purpose of the AffineTransformLayer. Let's say transform parameters given to that layer transform A into B. What the layer does is generate image B based on image A. To do that the layer finds the location of each pixel of image B in image A. To do that the transform needs to be inversed.
If the layer did the opposite, take each pixel in A and transform it into B, we would end up with holes in image B.
Does that explain the problem a bit?
Best regards,
Marek
@MarekKowalski Still confused, can you share some paper or blog, or explain a bit more?
Best, Lew
Hi,
What is the thing that confuses you exactly? Is it the reason why the layer is used, or is it something else?
You can take a look at the article describing Deep Alignment Network, here: https://arxiv.org/abs/1706.01789 where the idea behind this layer is explained.
Marek