[HN Gopher] Show HN: Semantic Video Search
       ___________________________________________________________________
        
       Show HN: Semantic Video Search
        
       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.
       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.
       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.  User
       interface is limited for now, and definitely needs more work. But
       we are releasing it here for early feedback/bugs.  We would love
       for you to try it out and hear your thoughts/feedback.  [0] We
       should also have a linux version ready in few days.
        
       Author : warangal
       Score  : 54 points
       Date   : 2022-11-15 10:19 UTC (2 days ago)
        
 (HTM) web link (ramanlabs.in)
 (TXT) w3m dump (ramanlabs.in)
        
       | daaayum wrote:
       | This is awesome. Would be great is i could use this across
       | multiple video files and search in a library of files.
        
         | warangal wrote:
         | Still a lot of work pending on user interface side, but this is
         | definitely on the TODO list. We are also working to allow users
         | to search for a lot more categories of objects in the upcoming
         | releases. It has been a lot of work, so thanks for feedback and
         | checking out!
        
       | videofreedom wrote:
        
       | [deleted]
        
       | jcims wrote:
       | 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.
        
       | metadat wrote:
       | Please post again when the Linux version is out!
       | 
       | Will also be great if you create a command-line version.
        
         | warangal wrote:
         | Thanks for checking out. We are also working on SDK to make it
         | easier to integrate with existing applications. Linux version
         | is almost ready, just looking at ways to distribute
         | dependencies a bit more easily.
        
           | blooalien wrote:
           | I personally like AppImage best of the "non-native" app
           | package formats, but ideally you could set up one of the
           | native package build CI pipelines somewhere and automagically
           | build native distro packages from your source tree for the
           | most common three or four native package formats and let the
           | community build more "esoteric" packages for themselves from
           | those possibly?
        
           | rch wrote:
           | Nixpkg, w/ allowUnfree.
           | 
           | If you try it I'd be interested in learning about your
           | experience, as I'm looking into doing something similar early
           | next year (distribution, not similar to the app itself).
        
       | thefourthchime wrote:
       | Looks pretty cool! I work for a large content company, we would
       | maybe use this if it had:
       | 
       | - A way to run in a container in linux - Or a REST API we could
       | use to run it.
        
       | sharpshoot wrote:
       | try www.muse.ai
        
       | Rodeoclash wrote:
       | I have an open source video player for esports coaches to review
       | gameplay footage (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.
        
       ___________________________________________________________________
       (page generated 2022-11-17 23:02 UTC)