I am trying to train SegNet with a custom set of images I labelled using CVAT. I followed the community tutorial linked in this thread. I am trying to run through it but encountering errors. Currently, I am unable to get the system to recognize my images in the split_custom.py step. I am using a set of PNG color images and the PNG mask images as inputs. I haven’t quite exhausted my options but I wanted to make sure that the guide above is still relevant before I sink too much time into it.
I recognize that this is perhaps outside the scope of this forum, but any advice would be appreciated. Additionally, I wanted to check if there might be a new accepted way to go about training on a custom dataset.