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What are the video augmentation options used in the pre-trained model ([Dropbox]) ?
In the code I can see that these are the ones uncommented, is that the case for the pretrained model?
dataset/dataloader_video.py
The text was updated successfully, but these errors were encountered:
Yes,as mentioned in our paper, we adopted three kinds of data augmentation strategies (random crop, horizontal flip and
random temporal scaling) during training.
What are the video augmentation options used in the pre-trained model ([Dropbox]) ?
In the code I can see that these are the ones uncommented, is that the case for the pretrained model?
dataset/dataloader_video.py
The text was updated successfully, but these errors were encountered: