Hi HN, I am Anubhav from Ramanlabs. We have been working on a native gui application to allow users to search any video data( mp4, mkv) or video streams (http/rtsp) using computer vision.<p>Application is supposed to work like a video player which displays decoded frames and recognizes objects concurrently, making it an interactive experience. It works in super real-time and only expects a quad-core CPU with AVX2 instructions at minimum.<p>Application is free to download (without any signup/account). We are only supporting WINDOWS for now [0]. Even though this is a binary application, we have ZERO telemetry/analytics builtin.<p>User interface is limited for now, and definitely needs more work. But we are releasing it here for early feedback/bugs.<p>We would love for you to try it out and hear your thoughts/feedback.<p>[0] We should also have a linux version ready in few days.
I have an open source video player for esports coaches to review gameplay footage (<a href="https://www.vodon.gg/" rel="nofollow">https://www.vodon.gg/</a>)<p>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.
Looks pretty cool! I work for a large content company, we would maybe use this if it had:<p>- A way to run in a container in linux
- Or a REST API we could use to run it.
I don't know why but this made me wonder if you could train a model on eye tracking data from videos then use that to predict what people would look at with new content.
You should not take the risk to publish a demo of your commercial product using non-free video material - it will hurt you, even more, when successful. Read a book about copyright and just use creative commons video material.<p>Good luck!