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Dear author,
May I ask if only 500/125 training samples will be used when retraining PointPillars and PointRCNN with 500frames and 125frames? Or 500/125 annotated samples plus 3712-500/125 unannotate…
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Is there a pre-converted ONNX model available for the CenterPoint .pth model
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmdetection3d/issues) and [Discussions](https://github.com/open-mmlab/mmdetection3d/discussions) but cannot get the expec…
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Hi,
I tried simply switch AnchorHeadSingle out with AnchorHeadRDIoU_3CAT in pointpillar.yaml. But the training session gave eval metrics with all 0s. What's the correct configuration for the replac…
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`python setup.py develop
running develop
running egg_info
writing pointpillars.egg-info/PKG-INFO
writing dependency_links to pointpillars.egg-info/dependency_links.txt
writing top-level names to …
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Hello, I would like to ask about the pointpillars implementation for NuScenes. How is this implementation pointpillars, although the voxel encoder is changed from pillar feature net to hardVFE and so …
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Hello, could you please give me a centerpoint-based camera, lidar and fusion training model? When I train the image branch, mAP==0. How should I train the image branch?
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I want to use this quantization platform to quantify Pointpillars and export the quantized parameters(int8 weights&bias). What should I do?
I downloaded the corresponding file from
[](https://git…
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I was able to confirm the operation very easily compared to the PointPillars head family.
It's great!!
However, when I measured the execution speed, it was about 1.5 fps.
I measured the following w…
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please help
Traceback (most recent call last):
File "test.py", line 138, in
main(args)
File "test.py", line 87, in main
vis_pc(pc, bboxes=lidar_bboxes, labels=labels)
File "/mnt…