I am trying to train a RNN to make a binary classification on the frames of a video stream.
I already tested a RNN model with the Jester dataset, now I want to train my model with my dataset.
My question is how to prepare my dataset, since it is made of 10 videos, each one with a length of 10 minutes, in average.
My first (and probably naive) idea was to batch each frame following the order in the video, but I know that it is important to shuffle your dataset when training. So I discarded this idea.
Any other suggestion?
Thank you.