Comments (4)
Hi @santiagoRuizSchiphol,
Please take a look at #6, I think it will answer your question.
Let me know if you still struggle to construct the position_ids
in your setup.
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Hello @bomri,
Thank you for your answer, it was quite helpful.
If you want I can help to improve this nice project in at least two ways:
- Add documentation to the
forward
function of the VTN model - Make the argument
position_ids
optional to have a similar behaviour as is explained in Huggin Face glossary (here the link)
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Sure, that will be great :)
from slowfast.
All right! I will work on it next week then.
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Related Issues (17)
- how to prepare kinetics400 dataset to run your code? HOT 1
- Thermal diagram of key frame HOT 1
- Unable to load weights of the 'VIT_B_VTN' model HOT 1
- VTN not converging on UCF101 HOT 2
- Error with Detectron2 when using run_net.py HOT 1
- How to use Resnet as backbone? HOT 2
- How to visualize the cls token in VTN ? HOT 2
- Visualization: how effective is a PART of frames on decision making HOT 7
- size of checkpoint file HOT 1
- Have you preprocessed the kinetics dataset? HOT 1
- Where is the code?
- VTN attention window HOT 2
- Position IDs in VTN HOT 1
- Reproducing top 1 accuracy in Figure 4 HOT 6
- How to reproduce result in live camera feed without saving as video HOT 2
- Model weights for ViT-B-VTN (1 layer) HOT 2
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