Comments (7)
Hi, you mean the panoptic occupancy labels or using the panoptic images as inputs?
from surroundocc.
I mean panoptic occupancy labels.
Thank you for the prompt response.
from surroundocc.
Yeah, our generated labels are panoptic occupancy labels, not monocular ones.
from surroundocc.
Oh, what I want to ask is whether I can add instance labels to the occupancy using NuScenes panoptic LiDAR segmentation labels.
I apologize for any confusion.
from surroundocc.
Yes, you can add instance labels to the foreground objects according to the known bounding boxes. Each bounding box has a unique 'object token', which can be the key for you to distinguish different objects with the same semantic labels.
from surroundocc.
Do you mean that I can add instance labels with a bounding box without using LiDAR panoptic segmentation labels?
from surroundocc.
Hi, I'm not very familiar with "LiDAR panoptic segmentation labels" in nuScenes. If nuScenes already provides point-wise "LiDAR panoptic segmentation labels", you can use them to replace the LiDAR semantic segmentation labels in our occupancy generation pipeline.
The bounding boxes are used in our generation pipeline to crop movable objects from the scene. If nuScenes doesn't provide point-wise "LiDAR panoptic segmentation labels", you can use 'object token' to generate instance-level occupancy labels.
from surroundocc.
Related Issues (20)
- could you please provide a result on occ3d-nuscenes? HOT 1
- How to perform OCC prediction using only the front camera? HOT 4
- 关于optimizer和frozen_stage的设置 HOT 2
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- 在运行Train SurroundOcc时候发生的报错 HOT 2
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- 安装chamfer失败 HOT 2
- 训练过程中未知错误 HOT 1
- bbox in non-keyframes HOT 1
- RuntimeError: CUDA error: invalid device function HOT 1
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