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I have an open source video player for esports coaches to review gameplay footage (https://www.vodon.gg/ https://www.vodon.gg/) Could I use something like this
by Rodeoclash 4y ago
I have an open source video player for esports coaches to review gameplay footage (https://www.vodon.gg/ https://www.vodon.gg/)
Could I use something like this (or a library) to easily recognise enemy players that have shown up in frames? I would love to be able to automatically populate bookmarks of interesting moments in the match.
- warangal 4y agoVideo player looks cool! Even though this is based for badminton, i have found this one <https://cvit.iiit.ac.in/research/projects/cvit-projects/badminton-analytics https://cvit.iiit.ac.in/research/projects/cvit-projects/badm...> quite interesting for sport analytics projects. I think interesting moments bookmarking is more of an open-ended problem and would very much depend on the game, but large computer-vision models like CLIP have proved to be really useful in recognizing general-purposes activities. You could sample frames uniformly from a game video, index them with a text-captioning model, then find/curate a subset of those captions based on your definition of interesting, and then use those curated captions to look for those moments in future videos, i think!
- Rodeoclash 4y agoHey, that's a really great idea! Thanks, I'm going to play around with it.