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intel / libvpl

Intel® Video Processing Library (Intel® VPL) API, dispatcher, and examples
https://intel.github.io/libvpl/
MIT License
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Clarification on mfxAISuperResolutionMode Support and Implementation in libvpl #156

Open quamt opened 3 weeks ago

quamt commented 3 weeks ago

Hello,I am seeking to better understand the mfxAISuperResolutionMode feature within Intel’s libvpl.

I would appreciate some clarification on the following points:

Driver and Architecture Support:

Which Intel GPU architectures and driver versions support the mfxAISuperResolutionMode feature? Is there a resource or changelog available that details when this feature was introduced or enhanced across different platforms in libvpl?

Understanding Application Integration:

I understand that the libvpl dispatcher links the application with the appropriate runtime libraries. Could you explain the recommended process for initializing and checking the availability of mfxAISuperResolutionMode within an application?

Additionally, what considerations should be made if this feature is not supported on certain hardware or driver versions?

Are there suggested fallback mechanisms or best practices in such cases?

Thank you for your guidance. Any documentation or resources that could further my understanding of this feature and its integration would be greatly appreciated.

jonrecker commented 2 weeks ago

Thank you for your interest in this feature. Some documentation and code snippets are available in the VPP programming guide and the API reference.

@FurongZhang could you please provide some additional info re. the above questions?

FurongZhang commented 1 week ago
  1. VPL API: We added mfxAISuperResolutionMode in VPL v2.11 as experimental API, v2.13 move to production.
  2. Driver version: a. The latest driver supports AI power super resolution (still experimental API) https://www.intel.com/content/www/us/en/download/785597/intel-arc-iris-xe-graphics-windows.html. The officially released driver in 2024 Q2/Q3 drivers can support this feature. b. This feature is only supported on Windows, NO on Linux. c. This feature has been supported on TigerLake, Metorlake, LunarLake. A lot of platforms are compatible. d. As the programming guide shows, use query or init to check the capability of super resolution. If failed, recommend to fall back to the VPL hardware scaling path(no-AI).