Comments (3)
Hi @zhulishun,
Perhaps you could give a more detailed description of "action of multiple people". Just predict the single label for the whole frame or multiple labels for each individual?
from tpn.
There are multiple people in a frame, and everyone has their own action, these actions may be consistent or inconsistent
from tpn.
It seems the same setting as action detection \eg on AVA which provides labels for one frame
per second, with every person annotated with a bounding box and (possibly multiple) actions.
In our own experiments, TPN actually obtained some gains on such tasks. We would release this part in the future work. Stay tuned.
from tpn.
Related Issues (20)
- How long have the models been trained? HOT 2
- Could you explain some parameters in code? HOT 2
- About FLOPs of TPN
- Train-val split details for Epic-Kitchen dataset
- Use RWF-2000 to train TPN HOT 1
- I want to know how to down checkpoint HOT 2
- 在PyTorch 1.7下,运行test_video.py报错:RuntimeError: Legacy autograd function with non-static forward method is deprecated. HOT 4
- Is the number of frames used in training and testing the same?
- About data augmentation. HOT 1
- Expected 5-dimensional input for 5-dimensional weight 64 3 1 7 7, but got 4-dimensional input of size [8, 3, 256, 256] instead HOT 2
- cannot import name 'get_trimmed_dataset' from 'mmaction.datasets'
- optimizer must be a dict of torch.optim.Optimizers, but optimizer["type"] is a <class 'str'> HOT 4
- RuntimeError: Legacy autograd function with non-static forward method is deprecated HOT 2
- Why is the training code different from the test code?
- how could i get kinetics400_val_list_rawframes_checked.txt?
- TypeError: save_for_backward can only save variables, but argument 1 is of type int
- RuntimeError: Expected 5-dimensional input for 5-dimensional weight 64 3 1 7 7, but got 4-dimensional input of size [12, 10, 224, 224] instead
- x = self.segmental_consensus.forward(x),
- config file ?
- how to download ckpt HOT 1
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