Likewise, nvdecinfo will show you decode capabilities available on an NVDEC-capable GPU. Supports B-Frames as References | 2 | 3 | Supports Custom VBV Buffer Size | 1 | 1 | Supports Dynamic RC-Mode Change | 0 | 0 | Supports Dynamic Force Const-QP | 1 | 1 | Supports Dynamic Bitrate Change | 1 | 1 | Supports Dynamic Resolution Change | 1 | 1 | Supports Separate Colour Planes | 1 | 0 | Supports QPEL Motion Estimation | 1 | 1 | See an example below from a system running an RTX 2080 (the laptop I'm typing this on): Loaded Nvenc version 9.1 Not all NVENC capabilities may be shown if you're using an older device driver. The nvencinfo program will show you the NVENC encode capabilities of your NVIDIA GPU, and the information reported herein will depend on the GPU's architecture and the presence of a supported GPU driver. The project depends on the nv-codec-headers package, which you can fetch and build from here.
For usage, see this blog post by Jaroslav Svoboda for a primer.
Judging by the tag applied to your question and the mention of containerization through Docker, I'm assuming that you intend to run this on Ubuntu.ĭetails on specific hardware were omitted in your query, and as such, I'll be including all relevant information pertaining to checking for hardware accelerated encode and decode capabilities of common GPUs which support platform-specific hardware acceleration APIs, typically NVIDIA's NVENC and NVDEC (for encoding and decoding respectively), AMD's AMF and Intel's QuickSync and VAAPI implementations.Ĭompile and run Philip Langdale's nv-video-info project, which contains the nvencinfo and nvdecinfo programs.
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