![]() ![]() (Seems like skip & crop should be refactored into one operation, see below why they are not) The graph of want you want to accomplish looks like this: Also, this doesn’t need to be done on every video frame, but on a fraction of them. So the idea is to split the original video into, in this case 14, individual small videos of just the faces. Now, for the next step of this study, you don’t want to keep the entire video, you only want viewers’ faces. You then applied a clustering algorithm to determine the region for each of the viewers where their faces are most likely going to be during the entire video. You ran your favorite face detection (Dlib-based, of course) on a sample of frames from that video, and found that your viewers don’t move around much. ![]() ![]() Suppose you had the same astronauts from one of the previous posts participating in a study, where they are actually filmed watching something, say an episode of Star Wars. I love building computer vision pipelines, but sometimes menial tasks of pure image processing, automated editing come up. Computer vision should not be confused with image processing (as we all know).
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