Let's say I have a number of videos, and I want to train an SSD/YOLO (or FRCNN) to detect objects. In the case of a large amount of videos, there will be a lot of frames extracted and transferred to images. Can you take, for example, only the fifth frame everytime and thus lower the amount of memory required? If the frames contain a similar info, we can skip some and not impact the results? This is mainly to train faster..