How to use the semantic ground-truth image segmentation results in HM3D datasets?

[zhai-create]

Habitat-Lab and Habitat-Sim versions

Habitat-Lab: v0.3.0
Habitat-Sim: v0.3.0

When I use semantic_img = observations["semantic"] to call the ground-truth image segmentation results, I find that the output result is a matrix of all zeros, which is visualized as a dark image. How can I solve this problem?

❓ Questions and Help

[zhai-create]

Has anyone encountered a similar problem? I am eager to solve this problem, thank you.

[zhai-create]

It seems that in simulator.py, after calling tgt.read_frame_object_id(self.view), self.view becomes all 0. But why is this?

[zhai-create]

I still haven't figured this out and I need help.