Comments (2)
Hi Yibo,
Thanks for your interest in our work. After carefully reading your issue, I suggest that there are two choices to try.
1. Disable IoU branch
The IoU branch is just for the Waymo dataset. I think it might be useless for others.
Set
IOU_BRANCH: False
in the config file.
And remove
'iou': {'out_channels': 1, 'num_conv': 2},
in the HEAD_DICT.
2. Try VoxelNeXt backbone with other head.
After reading your comment, I think what your really like is the VoxelResBackBone8xVoxelNeXt
backbone network. You can use it with other detector head, like Voxel R-CNN head. What you additionally need to do is just to convert the sparse out of VoxelResBackBone8xVoxelNeXt
to dense, following the common VoxelResBackBone8x
.
In addition, I am very happy for more discussion via WeChat. I will contact you latter.
Regards,
Yukang Chen
from voxelnext.
Hi @luoxiaoliaolan, @yukang2017
I have problem in training custom dataset. My dataset has only Lidar (x, y, z), and it works normally with Second, Pointpillar, PVRCNN config, but with VoxelNext It wont work. I tried and have the same errors as you. Would you guide me abit to fix it.
Thank you both!
from voxelnext.
Related Issues (20)
- pretrain_model HOT 5
- VoxelNeXT-2D HOT 1
- tracking HOT 3
- How to get the flops ?
- No module named 'pcdet.version' HOT 3
- IoU related loss HOT 1
- [Question] How to run a single inference on this model? HOT 2
- Question about the settings of training
- How to use the NuScenes dataset? Please!!! HOT 6
- Can you send me the nuscene and waymo test set model?
- Question about test results
- Can't reproduce the results on waymo
- FPS
- Question about NuScenes val set
- KeyError 'model_state' while loading checkpoint HOT 1
- Could not launch VoxelNeXt due to VoxelGenerator
- Details about the code HOT 1
- The result on nuscenes test set is not good
- 3D object detection from UAV based LiDAR point clouds
- Argoverse2 trainval infos
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