Closed cdbethune closed 4 years ago
Our interpretation of gradcam results expects a 4x4 matrix back, so the solution to our problem actually ends up being that we want to force the image_dim
value to always be 4. No need to include the source image size.
We currently can only run the MLP classifier with big earth data since the
image_dim
value is not being set based on the underlying remote sensing data. We either have to figure out the proper dimension at the time the pipeline is constructed, or have it be determined at run time, and passed along as metadata.