Comments (2)
I recommend that you check the data and annotation first. If the input data is corrupted and has NaN, then the loss is wrong. Also, if a video does not have any ground truth, or the ground truth is wrong, such as the end time is smaller than the start time, it may also lead to an error.
If the above is OK, you can consider whether you need to tune the backbone learning rate, or maybe the detector has some problem, and you might need to change to another detector.
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Thank you for your patient reply. I will check the above methods
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Related Issues (18)
- Roadmap and Feedback HOT 8
- Does Adatad support multi-label temporal action detection? HOT 2
- No recurring indicator results HOT 1
- How to get the classifier files of activitynet HOT 3
- Cannot use gdown to download Anet raw video data HOT 1
- question about `scale_factor` in AdaTAD HOT 4
- epic_kitchens-100 opentad RuntimeError: CUDA error: device-side assert triggered HOT 1
- epic-kitchens100 eval is nan HOT 2
- AdaTAD Training Resume HOT 2
- Anet_videos_15fps_short256/missing_files.txt HOT 3
- Best_mAP in training
- feature_stride vs sample_stride HOT 6
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- Proposal Generation Only HOT 5
- adatad on multithumos HOT 2
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