**Build FFmpeg and libva with decode and encode hardware acceleration on an Intel-based validation testbed:**

Build platform: Ubuntu 

**Install baseline dependencies first**

`sudo apt-get -y install autoconf automake build-essential libass-dev libtool pkg-config texinfo zlib1g-dev libva-dev cmake mercurial libdrm-dev libvorbis-dev libogg-dev git libx11-dev libperl-dev libpciaccess-dev libpciaccess0 xorg-dev`

Then add the Oibaf PPA, needed to install the latest development headers for libva:

```
sudo add-apt-repository ppa:oibaf/graphics-drivers
sudo apt-get update && sudo apt-get -y upgrade && sudo apt-get -y dist-upgrade
```


**Build the latest libva and all drivers from source:**


First things first, build the dependency chain:

    
1. [libva](https://github.com/01org/libva):

Libva is an implementation for VA-API (Video Acceleration API)

VA-API is an open-source library and API specification, which provides access to graphics hardware acceleration capabilities for video processing. It consists of a main library and driver-specific acceleration backends for each supported hardware vendor. It is a prerequisite for building the VAAPI driver components below.

    git clone https://github.com/01org/libva
    cd libva
    ./autogen.sh
    ./configure
    time make -j$(nproc) VERBOSE=1
    sudo make -j$(nproc) install
    
    
2. [cmrt](https://github.com/01org/cmrt):

This is the C for Media Runtime GPU Kernel Manager for Intel G45 & HD Graphics family. 
it's a prerequisite for building the [intel-hybrid-driver](https://github.com/01org/intel-hybrid-driver) package.

    git clone https://github.com/01org/cmrt
    cd cmrt
    ./autogen.sh
    ./configure
    time make -j$(nproc) VERBOSE=1
    sudo make -j$(nproc) install

3. [intel-hybrid-driver](https://github.com/01org/intel-hybrid-driver):

This package provides support for WebM project VPx codecs. GPU acceleration
is provided via media kernels executed on Intel GEN GPUs.  The hybrid driver provides the CPU
bound entropy (e.g., CPBAC) decoding and manages the GEN GPU media kernel parameters and buffers.

This package grants access to the VPX-series hybrid decode capabilities on supported hardware configurations.

    git clone https://github.com/01org/intel-hybrid-driver
    cd intel-hybrid-driver
    ./autogen.sh
    ./configure
    time make -j$(nproc) VERBOSE=1
    sudo make -j$(nproc) install
    

4. [intel-vaapi-driver](https://github.com/01org/intel-vaapi-driver):

This package provides the VA-API (Video Acceleration API) user mode driver for Intel GEN Graphics family SKUs.
The current video driver back-end provides a bridge to the GEN GPUs through the packaging of buffers and commands to be sent to the i915 driver for exercising both hardware and shader functionality for video decode, encode, and processing.
it also provides a wrapper to the [intel-hybrid-driver](https://github.com/01org/intel-hybrid-driver) when called up to handle VP8/9 hybrid decode tasks on supported hardware (when configured with the `--enable-hybrid-codec` option as shown below:).

    git clone https://github.com/01org/intel-vaapi-driver
    cd intel-vaapi-driver
    ./autogen.sh
    ./configure --enable-hybrid-codec
    time make -j$(nproc) VERBOSE=1
    sudo make -j$(nproc) install
    
5. [libva-utils:](https://github.com/intel/libva-utils)

This package provides a collection of tests for VA-API, such as `vainfo`, needed to validate a platform's supported features (encode, decode & postproc attributes on a per-codec basis by VAAPI entry points information).

    git clone https://github.com/intel/libva-utils
    cd libva-utils
    ./autogen.sh
    ./configure
    time make -j$(nproc) VERBOSE=1
    sudo make -j$(nproc) install

**Platform environment variables:**

Check if LIBVA environment variables are correctly configured:

`set | grep LIBVA`

Should output something like:

```
LIBVA_DRIVER_NAME=i965
LIBVA_DRIVERS_PATH=/usr/local/lib/dri
```

If not (as expected), set them on your system environment variables (`/etc/environment`) and reboot.


    sudo systemctl reboot 
    

**Verification:**    

When done, test the VAAPI supported featureset by running [vainfo](https://wiki.archlinux.org/index.php/Hardware_video_acceleration#Verification):

    vainfo

The output on my current testbed is:

    libva info: VA-API version 0.40.0
    libva info: va_getDriverName() returns 0
    libva info: Trying to open /usr/local/lib/dri/i965_drv_video.so
    libva info: Found init function __vaDriverInit_0_40
    libva info: va_openDriver() returns 0
    vainfo: VA-API version: 0.40 (libva 1.7.3)
    vainfo: Driver version: Intel i965 driver for Intel(R) Skylake - 1.8.3.pre1 (glk-alpha-58-g5a984ae)
    vainfo: Supported profile and entrypoints
          VAProfileMPEG2Simple            :	VAEntrypointVLD
          VAProfileMPEG2Simple            :	VAEntrypointEncSlice
          VAProfileMPEG2Main              :	VAEntrypointVLD
          VAProfileMPEG2Main              :	VAEntrypointEncSlice
          VAProfileH264ConstrainedBaseline:	VAEntrypointVLD
          VAProfileH264ConstrainedBaseline:	VAEntrypointEncSlice
          VAProfileH264ConstrainedBaseline:	VAEntrypointEncSliceLP
          VAProfileH264Main               :	VAEntrypointVLD
          VAProfileH264Main               :	VAEntrypointEncSlice
          VAProfileH264Main               :	VAEntrypointEncSliceLP
          VAProfileH264High               :	VAEntrypointVLD
          VAProfileH264High               :	VAEntrypointEncSlice
          VAProfileH264High               :	VAEntrypointEncSliceLP
          VAProfileH264MultiviewHigh      :	VAEntrypointVLD
          VAProfileH264MultiviewHigh      :	VAEntrypointEncSlice
          VAProfileH264StereoHigh         :	VAEntrypointVLD
          VAProfileH264StereoHigh         :	VAEntrypointEncSlice
          VAProfileVC1Simple              :	VAEntrypointVLD
          VAProfileVC1Main                :	VAEntrypointVLD
          VAProfileVC1Advanced            :	VAEntrypointVLD
          VAProfileNone                   :	VAEntrypointVideoProc
          VAProfileJPEGBaseline           :	VAEntrypointVLD
          VAProfileJPEGBaseline           :	VAEntrypointEncPicture
          VAProfileVP8Version0_3          :	VAEntrypointVLD
          VAProfileVP8Version0_3          :	VAEntrypointEncSlice
          VAProfileHEVCMain               :	VAEntrypointVLD
          VAProfileHEVCMain               :	VAEntrypointEncSlice
          VAProfileVP9Profile0            :	VAEntrypointVLD

**Option 2: Skip building the dependencies manually and install them from a PPA (not recommended):**

This can be accomplished by adding the [Oibaf PPA](https://launchpad.net/~oibaf/+archive/ubuntu/graphics-drivers) and the [xorg-edgers-PPA](https://launchpad.net/~xorg-edgers/+archive/ubuntu/ppa) to the system, and rebooting when done:

    sudo add-apt-repository  ppa:xorg-edgers/ppa
    sudo add-apt-repository ppa:oibaf/graphics-drivers
    sudo apt-get update && sudo apt-get -y upgrade && sudo apt-get -y dist-upgrade && sudo systemctl reboot

On reboot, test the VAAPI supported featureset by running [vainfo](https://wiki.archlinux.org/index.php/Hardware_video_acceleration#Verification):

    vainfo



**Making a usable FFmpeg build to test the encoders:**

Now, we will build an FFmpeg binary that can take advantage of VAAPI to test the encode and decode capabilities on the test platform.

Prepare the target directories first:

    mkdir -p $HOME/bin
    chown -Rc $USER:$USER $HOME/bin
    mkdir -p ~/ffmpeg_sources

Include extra components as needed:

**(a). Build and deploy nasm:**
[Nasm](http://www.nasm.us/) is an assembler for x86 optimizations used by x264 and FFmpeg. Highly recommended or your resulting build may be very slow.

Note that we've now switched away from Yasm to nasm, as this is the current assembler that x265,x264, among others, are adopting.

    cd ~/ffmpeg_sources
    wget wget http://www.nasm.us/pub/nasm/releasebuilds/2.14rc0/nasm-2.14rc0.tar.gz
    tar xzvf nasm-2.14rc0.tar.gz
    cd nasm-2.14rc0
    ./configure --prefix="$HOME/bin" --bindir="$HOME/bin"
    make -j$(nproc) VERBOSE=1
    make -j$(nproc) install
    make -j$(nproc) distclean


**(b). Build and deploy libx264 statically:**
This library provides a H.264 video encoder. See the [H.264 Encoding Guide](https://trac.ffmpeg.org/wiki/Encode/H.264) for more information and usage examples.
This requires ffmpeg to be configured with *--enable-gpl* *--enable-libx264*.

    cd ~/ffmpeg_sources
    git clone http://git.videolan.org/git/x264.git -b stable
    cd x264/
    PATH="$HOME/bin:$PATH" ./configure --prefix="$HOME/bin" --bindir="$HOME/bin" --enable-static --disable-opencl
    PATH="$HOME/bin:$PATH" make -j$(nproc) VERBOSE=1
    make -j$(nproc) install VERBOSE=1
    make -j$(nproc) distclean


**(c). Build and configure libx265:**
This library provides a H.265/HEVC video encoder. See the [H.265 Encoding Guide](https://trac.ffmpeg.org/wiki/Encode/H.265) for more information and usage examples.

    sudo apt-get install cmake mercurial
    cd ~/ffmpeg_sources
    hg clone https://bitbucket.org/multicoreware/x265
    cd ~/ffmpeg_sources/x265/build/linux
    PATH="$HOME/bin:$PATH" cmake -G "Unix Makefiles" -DCMAKE_INSTALL_PREFIX="$HOME/bin" -DENABLE_SHARED:bool=off ../../source
    make -j$(nproc) VERBOSE=1
    make -j$(nproc) install VERBOSE=1
    make -j$(nproc) clean VERBOSE=1

**(d). Build and deploy the libfdk-aac library:**
This provides an AAC audio encoder. See the [AAC Audio Encoding Guide](https://trac.ffmpeg.org/wiki/Encode/AAC) for more information and usage examples.
This requires ffmpeg to be configured with *--enable-libfdk-aac* (and *--enable-nonfree* if you also included *--enable-gpl*).

    cd ~/ffmpeg_sources
    wget -O fdk-aac.tar.gz https://github.com/mstorsjo/fdk-aac/tarball/master
    tar xzvf fdk-aac.tar.gz
    cd mstorsjo-fdk-aac*
    autoreconf -fiv
    ./configure --prefix="$HOME/bin" --disable-shared
    make -j$(nproc)
    make -j$(nproc) install
    make -j$(nproc) distclean

**(e). Build and configure libvpx**

       cd ~/ffmpeg_sources
       git clone https://github.com/webmproject/libvpx/
       cd libvpx
       ./configure --prefix="$HOME/bin" --enable-runtime-cpu-detect --enable-vp9 --enable-vp8 \
       --enable-postproc --enable-vp9-postproc --enable-multi-res-encoding --enable-webm-io --enable-vp9-highbitdepth --enable-onthefly-bitpacking --enable-realtime-only \
       --cpu=native --as=yasm
       time make -j$(nproc)
       time make -j$(nproc) install
       time make clean -j$(nproc)
       time make distclean

**(f). Build LibVorbis**

       cd ~/ffmpeg_sources
       wget -c -v http://downloads.xiph.org/releases/vorbis/libvorbis-1.3.6.tar.xz
       tar -xvf libvorbis-1.3.6.tar.xz
       cd libvorbis-1.3.6
       ./configure --enable-static --prefix="$HOME/bin"
       time make -j$(nproc)
       time make -j$(nproc) install
       time make clean -j$(nproc)
       time make distclean

   
   

**(g). Build FFmpeg:**

    cd ~/ffmpeg_sources
    git clone https://github.com/FFmpeg/FFmpeg -b master
    cd FFmpeg
    PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/bin/lib/pkgconfig:/usr/local/lib/pkgconfig" ./configure \
      --pkg-config-flags="--static" \
      --prefix="$HOME/bin" \
      --extra-cflags="-I$HOME/bin/include" \
      --extra-ldflags="-L$HOME/bin/lib" \
      --extra-cflags="-I/usr/local/include" \
      --extra-ldflags="-L/usr/local/lib" \
      --bindir="$HOME/bin" \
      --enable-debug=3 \
      --enable-vaapi \
      --enable-libvorbis \
      --enable-libvpx \
      --disable-debug \
      --enable-gpl \
      --cpu=native \
      --enable-opengl \
      --enable-libfdk-aac \
      --enable-libx264 \
      --enable-libx265 \
      --extra-libs=-lpthread \
      --enable-nonfree 
    PATH="$HOME/bin:$PATH" make -j$(nproc) 
    make -j$(nproc) install 
    make -j$(nproc) distclean 
    hash -r

**Note:** To get debug builds, omit the `distclean` step and the `--disable-debug` configure flag and you'll find the `ffmpeg_g` binary under the sources subdirectory.

We only want debug builds when an issue crops up and a gdb trace may be required for debugging purposes.


**Sample snippets to test the new encoders:**

Confirm that the VAAPI encoders have been built successfully:


    ffmpeg  -hide_banner -encoders | grep vaapi 

     V..... h264_vaapi           H.264/AVC (VAAPI) (codec h264)
     V..... hevc_vaapi           H.265/HEVC (VAAPI) (codec hevc)
     V..... mjpeg_vaapi          MJPEG (VAAPI) (codec mjpeg)
     V..... mpeg2_vaapi          MPEG-2 (VAAPI) (codec mpeg2video)
     V..... vp8_vaapi            VP8 (VAAPI) (codec vp8)


See the help documentation for each encoder in question:

    ffmpeg -hide_banner -h encoder='encoder name'


**Test the encoders;**

Using GNU parallel, we will encode some mp4 files (4k H.264 test samples, 40 minutes each, AAC 6-channel audio) on the ~/src path on the system to VP8 and HEVC respectively using the examples below. Note that I've tuned the encoders to suit my use-cases, and re-scaling to 1080p is enabled. Adjust as necessary.

**To VP8, launching 10 encode jobs simultaneously:**

    parallel -j 10 --verbose 'ffmpeg -loglevel debug -threads 4 -hwaccel vaapi -i "{}"  -vaapi_device /dev/dri/renderD129 -c:v vp8_vaapi -loop_filter_level:v 63 -loop_filter_sharpness:v 15 -b:v 4500k -maxrate:v 7500k -vf 'format=nv12,hwupload,scale_vaapi=w=1920:h=1080' -c:a libvorbis -b:a 384k -ac 6 -f webm "{.}.webm"' ::: $(find . -type f -name '*.mp4')

**To HEVC with GNU Parallel:**

To HEVC Main Profile, launching 10 encode jobs simultaneously:

    parallel -j 4 --verbose 'ffmpeg -loglevel debug -threads 4 -hwaccel vaapi -i "{}"  -vaapi_device /dev/dri/renderD129 -c:v hevc_vaapi -qp:v 19 -b:v 2100k -maxrate:v 3500k -vf 'format=nv12,hwupload,scale_vaapi=w=1920:h=1080' -c:a libvorbis -b:a 384k -ac 6 -f matroska "{.}.mkv"' ::: $(find . -type f -name '*.mp4')

**Some notes:**

1. Intel's QuickSync is very efficient. See the power utilization traces and average system loads with 10 encodes running simultaneously [here](https://imgur.com/gallery/H2xn5).

2. Skylake's HEVC encoder is very slow, and I suspect that on my hardware, may be slower than the software-based x265 encoder and kvazaar's HEVC encoders. However, its' quality, when well tuned, is significantly superior to other hardware-based encoders such as the Nvidia NVENC HEVC encoder on Maxwell GM200-series SKUs. The NVENC encoder on Pascal is however faster and superior to the one on Intel's Skylake HEVC encoder implementation.

3. Unlike Nvidia's NVENC, there are no simultaneous encodes limitations on the consumer SKUs. I was able to run 10 encode sessions siumultaneously with VAAPI, whereas with NVENC, I'd have been limited to two maximum simultaneous encodes on the GeForce GTX series GPUs on the testbeds. Good work, Intel.