code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
-
Updated
Jul 21, 2019 - Cuda
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
A function that aligns two sets of points using global image transformation (similarity, affine, or perspective) and returns T where T is a transformation that maps non-zero points in im1 to non-zero points in im2.
Add a description, image, and links to the shape-alignment topic page so that developers can more easily learn about it.
To associate your repository with the shape-alignment topic, visit your repo's landing page and select "manage topics."