Comments (1)
I see your features‘ shape is N * 10 * 2048,but mix_5c output shape is 1 * 1024 when input is 16 * 224 * 224
You can simply use this resnet50 I3D to extract the feature. https://github.com/Tushar-N/pytorch-resnet3d
This produces 2048 dimensional features. Thanks.
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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?
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