Hi all
I have a question regarding data augmentation in 3D images in PyTorch. I found nice methods like Colorjitter, RandomResziedCrop, and RandomGrayscale in documentations of PyTorch, and I am interested in using them for 3D images. As far as I understood these methods can be applied only on 2D images (correct me if I am wrong). So, if I want to use them in 3D setting, one solution is converting 3D images to Numpy arrays and then writing custom transformation in PyTorch using skimage or scipy am I right? I would appreciate it if you can help me with your ideas.
Best