Hi, I have started working on Video classification with CNN+LSTM lately and would like some advice. I have 2 folders that should be treated as class and many video files in them. I want to make a well-organised dataloader just like torchvision ImageFolder function, which will take in the videos from the folder and associate it with labels. I have tried manually creating a function that stores frames of all the videos from the folder in a list, it takes a hell lot of time. Also please suggest some premade functions which can help me save time through the pipeline. And apart from separating the videos into frames, is there any other sophisticated method of doing this. Thanks!