使用ffmpeg的GPU加速视频处理 [英] GPU-accelerated video processing with ffmpeg

问题描述

我想使用ffmpeg来加速NVIDIA GPU的视频编码和解码.

I want to use ffmpeg to accelerate video encode and decode with an NVIDIA GPU.

从 NVIDIA网站:

NVIDIA GPU包含一个或多个基于硬件的解码器和编码器(与CUDA内核分开)，可为多种流行的编解码器提供全加速的基于硬件的视频解码和编码.卸载解码/编码后，图形引擎和CPU可以自由进行其他操作.

NVIDIA GPUs contain one or more hardware-based decoder and encoder(s) (separate from the CUDA cores) which provides fully-accelerated hardware-based video decoding and encoding for several popular codecs. With decoding/encoding offloaded, the graphics engine and the CPU are free for other operations.

我的问题是:我可以使用CUDA内核对视频进行编码和解码吗?

My question is: can I use CUDA cores to encode and decode video, maybe faster?

推荐答案

FFmpeg提供了用于硬件加速的子系统，其中包括NVIDIA: https://trac.ffmpeg.org/wiki/HWAccelIntro

FFmpeg provides a subsystem for hardware acceleration, which includes NVIDIA: https://trac.ffmpeg.org/wiki/HWAccelIntro

要在NVIDIA GPU中启用对GPU辅助编码的支持，您需要:

In order to enable support for GPU-assisted encoding with an NVIDIA GPU, you need:

• 支持的GPU
• 您的操作系统支持的驱动程序
• NVIDIA Codec SDK
• 使用--enable-nvenc配置的ffmpeg(如果在配置时检测到驱动程序，则为默认值)

• A ​supported GPU
• Supported drivers for your operating system
• The NVIDIA Codec SDK
• ffmpeg configured with --enable-nvenc (default if the drivers are detected while configuring)

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