145 lines
4.4 KiB
Markdown
145 lines
4.4 KiB
Markdown
---
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description: Configuration for hardware acceleration for transcoding with VA-API and NVENC
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---
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# Hardware transcoding
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Memories supports transcoding acceleration with VA-API and NVENC.
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## External Transcoder
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If you plan to use hardware transcoding, it may be easier to run the transcoder (go-vod) in a separate docker image containing ffmpeg and hardware acceleration dependencies. For this, you need to clone the [go-vod](https://github.com/pulsejet/go-vod) repository and build the docker image. Then you need to change the vod connect address and mark go-vod as external. The important requirement for running go-vod externally is that the file structure must be exactly same for the target video files.
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In the directory with the `docker-compose.yml` file, run,
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```bash
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git clone https://github.com/pulsejet/go-vod
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```
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If you are using docker compose, configure a service to start go-vod with the correct devices and filesystem structure. Otherwise, manually start the container with these parameters.
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```yaml
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# docker-compose.yml
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services:
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app:
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image: nextcloud
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restart: always
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depends_on:
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- db
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- redis
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volumes:
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- ncdata:/var/www/html
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go-vod:
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build: ./go-vod
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restart: always
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- ncdata:/var/www/html:ro
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```
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Finally, point Memories to the external go-vod instance. In the admin interface, set go-vod to external and configure the connect URL to `go-vod:47788`. Alternatively, add the following configuration to `config.php`:
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```php
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'memories.vod.external' => true,
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'memories.vod.connect' => 'go-vod:47788',
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```
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## VA-API
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!!! warning "These instructions are not applicable for external transcoders"
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Newer Intel processors come with a feature called QuickSync that can significantly boost transcoding performance (4-5x improvement over x264 is common). QuickSync can be used for hardware accelerated transcoding using the VA-API in ffmpeg.
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Note: VA-API acceleration may also work with some AMD GPUs.
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To configure VAAPI, you need to have `/dev/dri` available to the Nextcloud instance with the `www-data` in the group owning the drivers. You also need the correct drivers and a compatible version of ffmpeg installed.
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Ubuntu:
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```bash
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sudo apt-get update
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sudo apt-get install -y intel-media-va-driver-non-free ffmpeg
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```
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Alpine:
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```bash
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apk update
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apk add --no-cache bash ffmpeg libva-utils libva-vdpau-driver libva-intel-driver intel-media-driver mesa-va-gallium
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```
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### Docker installations
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If you use Docker, you need to:
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1. Pass the `/dev/dri` device to the container. In `docker-compose.yml`:
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```yaml
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app:
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build: .
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restart: always
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devices:
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- /dev/dri:/dev/dri
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```
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1. Make sure the right drivers are installed. This can be done using a custom Dockerfile, for example
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```Dockerfile
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FROM nextcloud:latest
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RUN apt-get update && \
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apt-get install -y lsb-release && \
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echo "deb http://ftp.debian.org/debian $(lsb_release -cs) non-free" >> \
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/etc/apt/sources.list.d/intel-graphics.list && \
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apt-get update && \
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apt-get install -y intel-media-va-driver-non-free ffmpeg && \
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rm -rf /var/lib/apt/lists/*
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COPY start.sh /
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CMD /start.sh
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```
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In `start.sh`,
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```bash
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#!/bin/bash
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GID=`stat -c "%g" /dev/dri/renderD128`
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groupadd -g $GID render2 || true # sometimes this is needed
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GROUP=`getent group $GID | cut -d: -f1`
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usermod -aG $GROUP www-data
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php-fpm
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```
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1. Check the output of `/tmp/go-vod/<instance-id>.log` if playback has issues
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### linuxserver/nextcloud image
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You can add the following to the `docker-compose.yml` file to install the drivers:
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```yaml
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devices:
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- /dev/dri:/dev/dri
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environment:
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- DOCKER_MODS=linuxserver/mods:universal-package-install
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- INSTALL_PACKAGES=libva|libva-intel-driver|intel-media-driver|mesa-va-gallium
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```
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### FFmpeg from source
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In some cases, you may need to build the drivers and `ffmpeg` from source. For example, the available version of the media driver for the current debian image used by Nextcloud only supports upto Ice Lake CPUs. [This recipe](https://gist.github.com/pulsejet/4d81c1356703b2c8ba19c1ca9e6f6e50) might be useful.
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```Dockerfile
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FROM nextcloud:25
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# Enable QSV support
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SHELL ["/bin/bash", "-c"]
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RUN apt-get update && \
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apt-get install -y sudo curl git && \
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rm -rf /var/lib/apt/lists/*
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RUN curl https://gist.githubusercontent.com/pulsejet/4d81c1356703b2c8ba19c1ca9e6f6e50/raw/qsv-docker.sh | bash
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...
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```
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