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.
Asynchronous rendering allows the GPU to perform work while the CPU performs other work, and is significantly faster than lockstep immediate rendering. By reusing existing render targets we can see a performance improvement of up to 500%, while still doing the same things.
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.
This fixes the case where the effect vanishes, but we still hold an invalid pointer to a parameter of that effect. With the new code, the effect will not vanish as long as an effect pointer exists.
However, all effects must be created either through std::shared_ptr or std::make_shared. If they were not made through one of those means, the code will crash on the ->shared_from_this() call.
Clang on Windows and Clang on Linux behave differently, and of course GCC on Windows (MinGW) and GCC on Linux do too. This is the point where using either compiler on either platform should successfully compile the project without any issues.
Clang and GCC have a ton of warnings however, which definitely need to be fixed in the near future. Some of them are great warnings, like old C style casts, others are non-sense like suggest brackets.
Fixes#47Fixes#60
To further distance the code from having to do too much manually, the graphics context is now available as a managed class. All places that previously used obs_enter_graphics and obs_leave_graphics are now using the new gs::context class instead.
Dual Filtering (or Dual Kawase) is an approximation of Gaussian Blur that can reach much higher Blur sizes at a much lower cost. However it is locked to a 2^n size, which means that currently it isn't possible to use it for blur sizes like 19, 24 and 31.
The Blur works by using the linear sampling of a GPU, combined with down- and upsampling and carefully placed sampling points. This means that there is no need for a linear optimized version of this Blur.
Related: #45, #6
While Gaussian Blur is not a Blur type that really benefits much from linear sampling, it can be used for a slight quality and gpu usage reduction. However for Area and Directional Blur there is a better alternative: Dual Filtering Blur. And as with all other currently implement Linear versions of Blur, only Area and Directional Blur are supported.
This type of Gaussian Blur also has the loading hitch that exists in normal Gaussian Blur.
Related: #45, #6
Gaussian Blur is another Blur that now supports the new system, increasing the maxium Blur size to 128 and adding support for Rotational and Zoom blur. Various optimizations were done to the actual shader code which further reduced the GPU usage.
Currently the Gaussian curve is recalculated when the blur is first created, which can lead to a short hitch due to it having to search for the correct kernels. This is currently unavoidable and expected behavior until a better solution is found.
Related: #45, #6
Box Blur is a prime candidate for Linear optimizations, and as such reducing the total necessary samples by about half. However due to the reduction in samples, only Area and Directional Blur are supported.
Related: #45, #6
Box Blur is the first to be on the new system and has received all the new features and optimizations available. The maximum Blur size has been increased to 128, Rotational and Zoom Blur are supported and a small optimization has been done to the shader.
Related: #45, #6
This is the new code base for blur effects, which is much more effective at being re-usable than the old code base. It allows for much better extendable behavior and uses an interface and factory pattern, instead of hardcoding supported features.
