Comments (6)
@QingXIA233
Hi, qing
We use an old-school detection label assignment, assigning a gt box to every positive box. And we judged the positive and negative samples in the loader.
There is a one-to-one assignment in DETR, which I guess is your want.
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Ok, got it, your method makes sense to me now. Thank you for the quick reply. I'll do it according to your method. Perhaps I'll also perform some experiments with label assignment similar to DETR later.
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HI,I am quite confuse about 'gt_cls = 0', I checked the code in 'get_matching_by_iou', it assign the first gt_box to the proposal who match none with all the gt_boxes and coresponding 'gt_cls=0'. Same as this way it did in other places suce as 'relabel_by_iou'. Question is, 'gt_cls=0' is`n vehicle in waymo dataset?(not background class) @Lzc6996
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@qingzhouzhen
HI, gt_cls = 0 is background.
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@qingzhouzhen HI, gt_cls = 0 is background.
If I transfer dataset to others such as nuscenes, will thie logic work probably?
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@qingzhouzhen Hi, in my understanding, in this repo, they start the class labels from 1 instead of 0, which means 0 becomes the label that is not considered. My own data' label starts from 0(Car), so I add 1 to each of them before I feed the data to LiDAR R-CNN, then I minus 1 when I run create_results.py after testing the model.
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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
- 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
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- Welcome update to OpenMMLab 2.0 HOT 1
- pretrain model HOT 4
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