Comments (1)
Hi, yes, this repo only includes the first part. you can refer to this repo https://github.com/tianweiy/CenterPoint/blob/master/det3d/models/detectors/two_stage.py to see how we implement two stage on Waymo.
I tried this on KITTI a while ago and it is not much better than the first stage one so I didn't implement it here. I would suggest combining with other two stage approaches like PVRCNN for the best result.
from centerpoint-kitti.
Related Issues (20)
- How to detect bounding boxes at the back of the vehicle? HOT 3
- How do I make the code run?Does this code actually run? HOT 1
- How can I get the kitti test set's labels? HOT 4
- Running the NN on Colab HOT 1
- help,KeyError: 'CenterPoint' HOT 10
- On model robustness HOT 3
- Scores on the demo, Voxelization HOT 5
- Question about the training HOT 1
- rank of centerpoint on kitti car hard benchmark HOT 1
- about multihead training HOT 1
- about the test on tracking in this project HOT 2
- RuntimeError: Expected object of backend CUDA but got backend CPU for argument #2 'other'
- Kitti dataset preprocess without images HOT 4
- RuntimeError: CUDA error: out of memory
- model loading for spconv 2.x
- RuntimeError: Error compiling objects for extension HOT 1
- multi gpu training result is incorrect , how to correct it ? HOT 1
- Details about the KITTI model
- dist.init_process_group hangs HOT 2
- The result of PointPillars Anchor-based and Center-based is different. HOT 2
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from centerpoint-kitti.