The new libOBS API allows us to directly access the underlying API instead of having to mess around in memory. By using it we can avoid crashing in case the compiler for it is different, or in case the actual back end structure changes.
Additionally the mostly unimplemented and unused options have also been removed, which streamlines the use of this class even further and reduces both shader and code complexity.
Finally by optimizing the use of the internal render target we can achieve a speed up of up to 3000% over the old way, allowing for many more mipmapped filters.
Q_INIT_RESOURCE and Q_CLEANUP_RESOURCE can't be called from within a namespace and instead have to be in outside of the namespace, so by moving them into small inline functions we can fulfill this restriction.
Related: #192#155
Fixes rendering at unexpected sizes by first rendering to a render target and then rendering the contents of that render target to the frame buffer instead. This also prevent rendering twice or more, which might cause severe FPS impact.
Implements support for various new UI features that weren't possible up until now, such as an 'About StreamFX' window with a thank you to everyone that supported the project up until now.
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
Load additional functions from CUDA and add new enumerations to support them:
* cuDevicePrimaryCtxSetFlags allows us to sched scheduling mode for the GPU.
* cuCtxgetStreamPriorityRange allows us to check which priority levels are supported.
* cuStreamCreateWithPriority allows us to create streams with non-default priority.
The scheduler mode is now set to yield so that other threads can do work when we hit an eventual stalling problem. Streams can also now be created with higher priority and different flags, if necessary. In most cases this should allow CUDA resources to execute even while the GPU is under heavy load.
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.
As OBS Studio locks some mutexes in a different order depending on what actions are being done, using modified_properties for GPU work causes things to freeze in place. Instead have users manually click the refresh button when they changed files in order to prevent this freeze from happening.
Fixes: #118
With this, GCC 8 and above should now be able to compile the project both in obs-studio and as a standalone install. Some features are currently still not fully supported and require extra work, but the majority of things are supported and work out of the box. Exact feature parity can be looked up here on the wiki: https://github.com/Xaymar/obs-StreamFX/wiki/Platform-Feature-Parity
Related: #119#98#30
This header includes all common data between headers used in the plugin. This should improve cross-platform compiling support whenever possible, as all platform-dependent common includes and defines can be done here.
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.
Due to the 'nvcuda' library being part of the driver, it falls in a clause of the GPL which allows us to load and interface with system drivers. Since we can't rely on Nvidias headers here (incompatible license), most of this was pulled from FFmpeg and other things were found out via testing.
