To text my newly learnt pytorch
What it does
The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.
How I built it
Semantic segmentation can be done using a model pre-trained on images labeled using predefined list of categories. An example in this sense is the DeepLabV3 model, which is already implemented in PyTorch.
Challenges I ran into
Lots of bugs
Accomplishments that I'm proud of
How to resolve the bugs I had.
What I learned
How best to work with pytorch.
What's next for Image segmentation
Implementing in an app.