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Expected behavior when there are no objects in ground truth #50
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in dataset.py, when preparing data, the ground truth boxes are filtered with point cloud range. You may comment this. |
Hi, @vatsal-shah, I met the same error as yours. I also Nuscenes to the KITTI format using their script. |
We will re-sample a scene if we find there doesn't exist any objects in current scene. See #340. |
Hi @PengfeiMa ,I met the same error as yours, how to check if the label file is empty or not ? |
@GYE19970220 Open the label file, if there is nothing, then delete the file name from the ImageSet/train.txt or val.txt. |
@PengfeiMa Thanks, bro. I have found the empty label. Del them and train other problem occurs,I will keep on going.Can you leave a mailbox to facilitate communication?Mine 912236521@qq.com |
As nonsense as it is, I didn't find any other way than really remove it from the train.txt file. Additionally it is not super easy to identify which label is wrong since it does not crash right away. My brute force fix is adding to
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I am trying to run the pretrained model on the val split of the Nuscenes dataset. I have converted it to the KITTI format using their script.
Some frames in the Nuscenes val set contain 0 objects, and hence have no ground truth annotations. I wanted to know what the expected behavior should be in this case. When I run
I run into the following error when there are no objects in the ground truth file.
Could you let me know what should be done in this case when there are no objects in the ground truth?
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