Comments (1)
- not 100 percent sure, but ckpt also includes optimizer state and pertained model only gets models ?
- yes, we train
- no, the voxelization is done separately in the data loader
We can also combine it inside voxelnet, see https://github.com/tianweiy/CenterPoint/blob/5b0e574a4478086ee9686702456aaca4f4115caa/det3d/models/readers/dynamic_voxel_encoder.py#L71 for an example
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I never tried but that seems possible
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no, it is only used in second stage centerpoint_rcnn.yaml
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yeah, it is a line of works from CornerNet to CenterNet to ours. You can read the previous papers https://arxiv.org/pdf/1904.07850.pdf
https://arxiv.org/abs/1808.01244
let me know if have any specific problems
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
- rank of centerpoint on kitti car hard benchmark HOT 1
- about multihead training HOT 1
- about the test on tracking in this project HOT 3
- 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.