the demo is deploying a faster-rcnn model, but when trying to do the same steps to deploy a mask-rcnn model, I got some errors like “AssertionError: Per channel weight observer is not supported yet for ConvTranspose{n}d.” error. This error comes when trying to export the model to create a .pt file to be used on mobile.
Fixing this issue by walking around and using using d2go export scripts yields another error when loading the model on android
Unknown builtin op: _caffe2::GenerateProposals. Could not find any similar ops to _caffe2::GenerateProposals. This op may not exist or may not be currently supported in TorchScript.

What do I miss ? is there a demo to deploy a mask-rcnn segmentation on android ?