The high priority CUDA stream causes libOBS to be at a lower priority than the tracking, which is not what we want. Instead we want tracking to be incomplete in those cases, rather than slowing down encoding and other things.
Geometry updates are also now done once per frame instead of one per tracking update, which should improve the smoothness without affecting performance too much. Additionally all tracking info is now in the 0..1 range, which drastically simplifies some math - especially with texture coordinates.
To deal with tracking and updates being asynchronous, a very simple approximation of movement velocity has been added. This is mostly wrong, but it can bridge the gap where tracking updates are slower, as the values are all filtered anyway.
Adds a new CMake option "ENABLE_PROFILING" which enables all CPU and GPU performance profiling available in StreamFX for tracking what's actually causing things to be slow.
Through converting the code to a threaded asynchronous approach, the libOBS video renderer no longer has to wait on our tracking code to run, and we can enjoy a little bit of extra calculation time before we actually have to do anything.
However due to the remaining synchronization with the Direct3D11/OpenGL context, it is not entirely safe to spend a full frame tracking as libOBS will then start skipped/dropping frames. Even though the priority of the stream is now increased, this still means that we can't just sit around and have to quickly finish all work.
Related #150
Previously sources had to manually implement migration code, which resulted in unresolvable regression issues due to the lack of version and commit tagging. With the new migration code, all sources automatically have this version and commit tagging at all times, and as such can now have a temporary regression fixed without the user needing to change any values manually.
Ever wished you had a professional camera operator to highlight and follow the action, ensuring the audience never misses a beat? Thanks to NVIDIA, you can now do this at home for free! The new NVIDIA AR SDK unlocks augmented reality features, including motion tracking for faces.
This allows me to provide you with an automated zoom and cropping solution for your video camera to transform your streams into a slick, polished broadcast, where you’ll always be the star of the show. Don’t forget - everything is customizable so the possibilities are endless. You can even recreate that Futurama squinting meme if you wanted to (with some scripting)!
The filter requires compatible Nvidia RTX hardware and the Nvidia AR SDK Runtime to be installed ahead of time. This filter is considered "stable" and shouldn't change much from version to version.
