Scripts to build/compile FFmpeg (v4.4) and install the latest OBS-Studio (v27.1.3) with Nvidia® CUDA® / NVENC® hardware-encoding/decoding capability.
Nvidia® NVENC® (Nvidia® Encoder/Decoder) is a proprietary microcontroller hardware based encoding solution.
Video coding involves a lot of floating-point calculations, which is resource-hungry (and slow) on conventional CPUs, while on Nvidia's CUDA-cores (custom FPUs) is heavily sped up and optimized. The NVENC® video-chip included on high-end Nvidia cards accelerates x264/x265(hevc) decoding/encoding as well.
The ffmpeg-script generates a (.deb) package for Ubuntu Desktop 18.04 / 20.04 after compiling completes.
- Install the dependencies (listed below)
- Build FFmpeg
- Install latest OBS Studio
sudo apt-get -y install git autoconf automake build-essential libass-dev \
libfreetype6-dev libgpac-dev libsdl1.2-dev libtheora-dev libtool libva-dev \
libvdpau-dev libvorbis-dev libxcb1-dev libxcb-shm0-dev libxcb-xfixes0-dev \
libqt5x11extras5-dev libxcb-xinerama0-dev libvlc-dev libv4l-dev \
pkg-config texi2html zlib1g-dev cmake libcurl4-openssl-dev \
libjack-jackd2-dev libxcomposite-dev x11proto-composite-dev \
libx264-dev libgl1-mesa-dev libglu1-mesa-dev libasound2-dev \
libpulse-dev libx11-dev libxext-dev libxfixes-dev \
libxi-dev qt5-default qttools5-dev qt5-qmake qtbase5-dev \
checkinstall libmbedtls-dev libavcodec-dev libavdevice-dev \
libavfilter-dev libavformat-dev libavutil-dev libfdk-aac-dev \
libfontconfig-dev libfreetype6-dev libgl1-mesa-dev \
libjansson-dev libluajit-5.1-dev libqt5x11extras5-dev libspeexdsp-dev \
libswresample-dev libswscale-dev libudev-dev libv4l-dev libvlc-dev \
libxcb-xinerama0-dev libxcomposite-dev libxinerama-dev python3-dev \
swig libxcb-randr0-dev libx11-xcb-dev yasm nasm libmp3lame0 libmp3lame-dev \
libqt5svg5 libqt5svg5-dev libx265-dev nvidia-cuda-toolkit
Utilize Nvidia® NVENC® (Nvidia® Encoder/Decoder) hardware-acceleration, to speed up:
- Streaming screencasts / games with OBS-Studio (to YouTube / Twitch)
- Recording screencasts / games with OBS-Studio
- Using FFmpeg to transcode video-files (encode from one format to another)
The main advantage with using Nvidia® NVENC® for OBS-Studio is mainly transferring video-encoding / -decoding / -transcoding capabilities from the system CPU, to a capable Nvidia® GPU.
List of advantages on using Nvidia® CUDA® / NVENC® for video-transcoding:
- Speed up video encoding / decoding / transcoding / streaming with direct hardware-acceleration
- Transferring floating-point processing over on an Nvidia GPU instead of the system CPU
- Higher FPS count in game-streams and screencasts
- Improved / sharpened image-quality
- Removal of video- / audio-lag in streams and recordings
