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Hi Jiyang!
I have been followed your a series of work in action detection area. Very solid work.
Thanks to open source your TURN-TAP model.
When reading your code, I found that in dataset.py, you give mini-batch by using:
The point is: random sample here is not a good choice. when training, some samples may be trained multiple times while others may not be trained. That's werid.
In other words, you cannot train a whole epoch.
I think pytorch's dataset wrapper would be a good choice.
The text was updated successfully, but these errors were encountered:
Hi Jiyang!
I have been followed your a series of work in action detection area. Very solid work.
Thanks to open source your TURN-TAP model.
When reading your code, I found that in
dataset.py
, you give mini-batch by using:The point is: random sample here is not a good choice. when training, some samples may be trained multiple times while others may not be trained. That's werid.
In other words, you cannot train a whole epoch.
I think pytorch's dataset wrapper would be a good choice.
The text was updated successfully, but these errors were encountered: