Enable GPU Acceleration
OvenMediaEngine supports GPU-based hardware decoding and encoding. Currently supported GPU acceleration devices are Intel's QuickSync and NVIDIA. This article explains how to install the drivers for OvenMediaEngine and set up the configuration to use your GPU.
1. Install Drivers
1. Install NVIDIA GPU Driver
If you are using an NVIDIA graphics card, please refer to the following guide to install the driver. The OS that supports installation with the provided script are CentOS 7/8 and Ubuntu 18/20 versions. If you want to install the driver in another OS, please refer to the manual installation guide document.
CentOS environment requires the process of uninstalling the nouveau driver. After uninstalling the driver, the first reboot is required, and a new NVIDIA driver must be installed and rebooted. Therefore, two install scripts must be executed.
How to check driver installation
After the driver installation is complete, check whether the driver is operating normally with the nvidia-smi command.
2 . Prerequisites
If you have finished installing the driver to use the GPU, you need to reinstall the open source library using Prerequisites.sh . The purpose is to allow external libraries to use the installed graphics driver.
2. Build & Run
Please refer to the link for how to build and run.
Getting StartedIntructions on running Docker
you must include the --gpus all option when running Docker
3. Configuration
To use hardware acceleration, set the HardwareAcceleration option to true under OutputProfiles. If this option is enabled, a hardware codec is automatically used when creating a stream, and if it is unavailable due to insufficient hardware resources, it is replaced with a software codec.
Appendix. Support Format
The codecs available using hardware accelerators in OvenMediaEngine are as shown in the table below. Different GPUs support different codecs. If the hardware codec is not available, you should check if your GPU device supports the codec.
QuickSync
D / E
D / E
-
-
NVIDIA
D / E
D / E
-
-
Docker on NVIDIA Container Toolkit
D / E
D / E
-
-
D : Decoding, E : Encoding
Reference
Quick Sync Video Format : https://en.wikipedia.org/wiki/Intel_Quick_Sync_Video
NVIDIA NVDEC Video Format : https://en.wikipedia.org/wiki/Nvidia_NVDEC
NVIDIA NVENV Video Format : https://en.wikipedia.org/wiki/Nvidia_NVENC
CUDA Toolkit Installation Guide : https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#introduction
NVIDIA Container Toolkit : https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/arch-overview.html#arch-overview
Quick Sync Video format support: https://en.wikipedia.org/wiki/Intel_Quick_Sync_Video