![]() configure -prefix= " $HOME/ffmpeg_build " -disable-examples -enable-runtime-cpu-detect -enable-vp9 -enable-vp8 \ configure -prefix= " $HOME/ffmpeg_build " -enable-static -disable-shared PATH= " $HOME/bin: $PATH " make -j $(nproc ) configure -prefix= " $HOME/ffmpeg_build " -bindir= " $HOME/bin " -enable-static -disable-shared ![]() configure -prefix= " $HOME/ffmpeg_build " -bindir= " $HOME/bin " -enable-static -disable-shared Sudo mv cuda-ubuntu1604.pin /etc/apt/preferences.d/cuda-repository-pin-600Įcho "Installing the nVidia NVENC SDK using the latest supported 9.0 tag. # Not currently enabled as it will update the SDK level and drivers and require newer ones than what the DSVM VM Image on Azure currently has. ![]() Libxcb-xfixes0-dev pkg-config texi2html zlib1g-dev libvpx-dev \ Libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libxcb1-dev libxcb-shm0-dev \ ![]() Sudo apt-get -y -force-yes install autoconf automake build-essential libfreetype6-dev libgpac-dev \ # in function probe_cc, replace the _flags_filter line to: _flags_filter='filter_out -lm|-ldl' # Long story short, you need to edit your ffmepg's configure script to avoid failures on libm and libdl. # It also relies on a hack described in to make glibc dynamic still. # NOTE: This build is made to target Ubunutu 16.04 Data-Science Azure VMs - With nVidia 418.xx drivers and CUDA SDK 9.0. # See the prefix path and compile options if edits are needed to suit your needs. ![]() # This script will compile and install a static ffmpeg build with support for nvenc in ubuntu. ![]()
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