Moe moeiscool

All the stuff to get CUDA 10.1 working with NVIDIA GPUs on Ubuntu 18.04. My notes.

Step 1: Install NVIDIA Driver

sudo apt install nvidia-driver-430
reboot
run nvidia-smi. If it does not show your GPU, stop, fix. If this doesn't work, nothing else will (the rest of the stuff will compile, but won't work)

Using VAAPI's hardware accelerated video encoding on Linux with Intel's hardware on FFmpeg and libav

Hello, brethren :-)

As it turns out, the current version of FFmpeg (version 3.1 released earlier today) and libav (master branch) supports full H.264 and HEVC encode in VAAPI on supported hardware that works reliably well to be termed "production-ready".

	#!/bin/bash

	# =============================================================
	# UPDATE SOURCE
	# =============================================================
	# git clone https://github.com/tensorflow/tensorflow
	# git checkout -- .
	# git pull origin master
	# TF_BRANCH=r1.8
	TF_ROOT=/home/tensorflow

	#!/bin/bash

	#This script will compile and install a static ffmpeg build with support for nvenc un ubuntu.
	#See the prefix path and compile options if edits are needed to suit your needs.

	# This script assumes you have NVIDIA Drivers and CUDA Toolkit installed already

	#install required things from apt
	installLibs(){
	echo "Installing prerequisites"

	#!/bin/bash

	## FORSTWOOF UBUNTU PRESEED :: BUILD SCRIPT

	# Quit on first error
	set -e

	# Temporary directory for the build
	TMP="/var/tmp/ubuntu-build"