Comments (2)
dluvizon
commented on July 23, 2024
Hi @YuktiADY ,
Thank you! In our first method (CVPR), pose and action parts can be trained separated, or jointly (fine-tuning). In our TPAMI paper, to train the action part, the pose part has to be trained before (pre-trained) or jointly.
The action recognition part takes as input 3D poses as (u, v, relative_d).
You can adapt the model to the number of classes that you have in your dataset. The model has to be changed.
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github-actions
commented on July 23, 2024
Stale issue message
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Related Issues (20)
- 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
- run.sh is killed HOT 5
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