What are the strengths and weaknesses of each? I've been using keras but planning on diving into a real deal framework next. Tensorflow is appealing for the momentum it has in the community, but pytorch looks easier to learn.
Doing image classification, object localization, and homography (given an input image, which of my known template images is matches it and in what orientation).
Doing image classification, object localization, and homography (given an input image, which of my known template images is matches it and in what orientation).