Comments (3)
dluvizon
commented on August 17, 2024
Probably, once you preload the data correctly and the semantics are the same.
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patrickESM
commented on August 17, 2024
thank you @dluvizon.
Really nice work you did here!
I also am interested to run it against my own set of videos. Can you maybe help us a little bit more with the semantics you addressed in you previews reply?
Thank you again!
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dluvizon
commented on August 17, 2024
Hi @patrickESM ,
The action dataset on which this method was trained involve sports activities (PennAction) or daily activities (NTU RGB+D).
Therefore, the weights provided here are restricted to the semantics of these datasets.
For a different scenario, you'll need to re-train the model.
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Related Issues (20)
- TypeError: lin_interpolation_2d() got an unexpected keyword argument 'dim' HOT 3
- Testing Script File : Testing script is not Present HOT 1
- Question about action recognition on NTU HOT 11
- Training hyperparameters for train_penn_multimodel.py HOT 2
- Is the model working for multiple person on a crowded scene ? (Not issue) HOT 1
- Weights for predict bboxes on NTU HOT 2
- No weights provided for the multitask models HOT 3
- Questions regarding Pennaction folder HOT 2
- question about displaying output of pose estimation, action recognition HOT 2
- Training on my dataset HOT 1
- could the network be trained with only action video but no pose images/video? HOT 4
- a quick demo for action recognition HOT 4
- something wrong about the eval_penn_multitask.py HOT 2
- eval_penn_ar_pe_merge.py error HOT 1
- Visualization Issue
- ModuleNotFoundError
- Question about datasets and annotations HOT 2
- Training on custom dataset HOT 1
- Error while training penn mpii multimodel HOT 2
- General question with resepect to paper HOT 2
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