Comments (3)
- Ok thanks, I'll provide another argument for an input file that has weak labels for the train set along with the already existing test label file argument.
- By the way, does that mean the shanghai tech i3d features (list/shanghai-i3d-train-10crop.list) you used have first 64 lines as abnormal ones and the rest are normal ones since you hardcoded it?
- Yes. This is the same setup as the GCN-anomaly paper.
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While dividing the train set into two classes, why is it hardcoded that first 63 values are one class and the remaining are one? Aren't we supposed to split it using the labels file provided through
option.py
Lines 19 to 24 in 950243a
Lines 23 to 34 in 950243a
Yes. I got lazy and hard-coded the weak label for the training set. For the array [:63], all the videos are abnormal and the remaining are normal. This is just a function to provide abnormal/normal list for the dataloader so that I can evenly sample 32 videos for each batch from both classes.
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- Ok thanks, I'll provide another argument for an input file that has weak labels for the train set along with the already existing test label file argument.
- By the way, does that mean the shanghai tech i3d features (list/shanghai-i3d-train-10crop.list) you used have first 64 lines as abnormal ones and the rest are normal ones since you hardcoded it?
from rtfm.
Related Issues (20)
- some questions about extracting I3D features
- xd-violence
- How to implement inference code? HOT 1
- Where do I find dir test_frame_mask, or make it? HOT 1
- how to make ground truth file and list file for shanghai tech dataset
- UCSD-Ped2 实验设置
- Custom .mat files HOT 3
- Can not reproduce the provided I3D features extracted from UCF-Crime on RTFM Github
- The UCF-Crime checkpoints link is disabled HOT 2
- Only ShanghaiTech features and checkpoint for ShanghaiTech can be used in the link
- UCF-Crime train I3d features on Google drive 下载失败—已被禁止 HOT 1
- Feature extraction results did not meet expectations
- feature extraction
- Results can't be reproduce for Sanghaitech
- Feature Extraction
- Generation of MatLab Labels
- AUC for UCF-Crime is Too low and Can't reproducible. HOT 1
- Can't download UCF_Crime test dataset
- 怎么生成ucf-i3d.list和ucf-i3d-test.list?
- checkpoints for UCF-Crime and XD-Violence datasets
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