In spite of anything I try it seems the ConformImages function nested in the LearnDistribution function resizes images to 256x256.
If I convert an image into its "Data" representation before training I can avoid this problem, but then that conversion causes other problems besides the point, and so I thought I’d ask:
Is there any option that can be set such that when LearnDistribution is given an image for training that image is not automatically resized to 256x256 but maintains its original dimensions (e.g., 512x512, 1024x1024, etc.) instead?
Maybe there's a line of code somewhere in the system files that simply needs adjusting? Thanks.