Hi world!!
I am doing an image semantic segmentation task and I want to use pretrained models such as PSPNet or SegNet. I generally understand the idea of segmentation and its structure but do not know clearly how to implement it in code. I also have some pictures which I should use for training and validation. My question is, what are the steps of this process, from downloading models to training on a particular dataset?
Maybe you know some nice examples which can lead me through all of it.
Thank you!