Background
The model pipeline describes our main entrypoint for creating clean patches from noise. Callers send in a noisy patch of fixed size, then get back a cleaned patch of the same size. Here, we load the models from #16 and pass inputs between the two models. This module will be called by the #4 for every region it cuts.
Description
To have a barebones workflow we should be able to give a patch and return a patch of the same size
- Load mock models from inference
- Connect model inputs and outputs to make a full resolution output
- Apply the elevation encoding and return the output
Background
The model pipeline describes our main entrypoint for creating clean patches from noise. Callers send in a noisy patch of fixed size, then get back a cleaned patch of the same size. Here, we load the models from #16 and pass inputs between the two models. This module will be called by the #4 for every region it cuts.
Description
To have a barebones workflow we should be able to give a patch and return a patch of the same size