open-mmlab / mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.
https://mmdetection3d.readthedocs.io/en/latest/
Apache License 2.0
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[Bug] post_center_limit_range for custom dataset #2931

Closed VeeranjaneyuluToka closed 6 months ago

VeeranjaneyuluToka commented 6 months ago

Prerequisite

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

main branch https://github.com/open-mmlab/mmdetection3d

Environment

sys.platform: linux Python: 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3090 Ti CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.1, V11.1.105 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.9.0 PyTorch compiling details: PyTorch built with:

TorchVision: 0.10.0 OpenCV: 4.9.0 MMEngine: 0.10.3 MMDetection: 3.3.0 MMDetection3D: 1.4.0+ spconv2.0: False

Reproduces the problem - code sample

I am training model with custom dataset and have changed the point cloud range and voxel size. Does that mean post_center_limit_range also needs to be changed and how those values are calculated.

Reproduces the problem - command or script

python tools/train.py configs/centerpoint/centerpoint_pillar02_second_secfpn_8xb4-cyclic-20e_custom-3d.py

Reproduces the problem - error message

How to change/modify post_center_limit_range?

Additional information

No response

VeeranjaneyuluToka commented 6 months ago

This looks to me same as point_cloud_range, let me know if that is not the case. Thanks!

VeeranjaneyuluToka commented 6 months ago

As i mentioned above, setting pcl range would be fine. So closing this issue.