Comments (10)
The nuscenes dataset has a multi-frame setting becasue of the 20HZ 32L LiDAR. Do you add the delta time in input points? @Suodislie
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Thank you very much for your reminder, I just added a keyframe point cloud. Have you reproduced this idea in nuscense? In addition, what are the more important steps different from waymo, such as the selection of positive and negative samples, expand_proposal_meter parameters, etc.
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@Suodislie
I haven't try it in nuscense. Maybe you should pay attention to positive and negative samples.
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Ok. Ths for your suggestions !
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@Suodislie If there are some new results in nuscenes please let me know. Feel free to contact me for further discussions!
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Ok. Ths for your suggestions !
hallo!can you share the result of lidar-rcnn in nuscenes? Performance decline exactly?
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@Lzc6996 hi~can you share your experiment on nuscenes?
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@hutao568 @xxlbigbrother
Sorry, I didn't conduct a experiment on nuscenes.
For 10 frames point cloud as input,there are so many points not fall in the proposal box. Speed prediction can help us to find these points we need. But I haven't do it on nuscenes dataset.
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Have figure out this problem? I trans this code to nuscnes on pointpillar, which lead to 10 percent decline, @Suodislie
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@hutao568 @xxlbigbrother Sorry, I didn't conduct a experiment on nuscenes. For 10 frames point cloud as input,there are so many points not fall in the proposal box. Speed prediction can help us to find these points we need. But I haven't do it on nuscenes dataset.
Will this algorithm perform worse in scenarios with more detailed categories (such as nuscenes)?
I'm not sure if you have tested on other data with more categories from waymo and kitti. Looking forward to your reply!
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Related Issues (20)
- path of data_processer config files HOT 2
- What is the workflow for multi-frame training? HOT 1
- Tutorial link for data processor is dead HOT 1
- Run inference on single GPU HOT 7
- Link for tf records HOT 2
- The pretrained model HOT 6
- The pretrained model HOT 3
- checkpoint shape error HOT 4
- checkpoint shape error HOT 11
- Is ego pose information essential for using LiDAR R-CNN? HOT 1
- The num of boxes of matching_gt_bbox is more than that of valid_gt? HOT 6
- What processes in LIDAR-RCNN are specific for waymo dataset? HOT 8
- The cls scores are useless on my own dataset HOT 6
- to_pcdet function in loss function HOT 3
- will not iou config filter proposal which are correct? HOT 1
- about aos metric HOT 3
- Welcome update to OpenMMLab 2.0 HOT 1
- pretrain model HOT 4
- The pretrained model HOT 4
- need your pretraind pth model HOT 3
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