I am currently working on a project where the goal is to create a neural network that can determine if two pieces of torn tapes are a true fit or not. My current idea is a convolutional network that takes as inputs 2 pieces of tapes (256,256,2) and outputs a 1 or 0 if they are a true fit or not. The 2 channels are independent of each other, so I use grouped convolutions. Is there a better way to go about this? Any ideas would be appreciated!
Example of the data
These pieces of tapes are an example of a true fit