Adds supports for running clang-tidy from within CMake, if the Clang toolset was found. This feature is experimental, but should work on many compilers, as it relies on generated compile_commands.json which are fully generated by the clang subproject. Using clang-tidy we can find hidden bugs that other static analyzers do not detect, or compilers don't even bother throwing an error for.
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.
* Fixed 'Pixelator's color transition point being off-center and uncontrollable.
* Fixed 'Drunk' filter not working at all.
* Added an inverted mode to 'Luma Burn'.
* Added exponential Luma to 'Luma Burn'.
* Fixed odd color behavior in the 'Color Shift' transition by switching out HSL with HSV.
* Added a new 'Sliding Bars' transition shader, for an example of it see this clip: https://clips.twitch.tv/RacyEndearingHorseradishAMPTropPunch .
* Updated translations from CrowdIn.
* Fixed FFmpeg Encoder not using the Color Format option.
* Fixed ProRes not overriding the Color Format with the correct one.
* Fixed CMake adding a lib prefix to Linux builds.
* Fixed some sources not tagging the settings object with the plugin version, resulting in impossible to migrate settings.
* Massively improved GCC and Clang support, fixing almost all warnings and errors.
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
* Updated libOBS to 25.0.3.
* Improved support for Ubuntu 16.04 and 18.04, for both GCC 8 and GCC 9.
* Fixed#116: Regression from 0.7.1 to 0.8.0.
* Fixed transitions not showing up.
* Added Shader Transitions, Shader Sources and Shader Filters.
* Added new example files for the new Shaders integration.
* Added Nvidia Face Tracking filter (requires compatible Nvidia RTX GPU and Nvidia AR SDK Runtime).
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.
