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<link rel="search" type="application/opensearchdescription+xml" title="Frigate" href="/frigate/opensearch.xml"><title data-react-helmet="true">nVidia hardware decoder | Frigate</title><meta data-react-helmet="true" name="twitter:card" content="summary_large_image"><meta data-react-helmet="true" name="docsearch:language" content="en"><meta data-react-helmet="true" name="docsearch:version" content="current"><meta data-react-helmet="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-react-helmet="true" property="og:title" content="nVidia hardware decoder | Frigate"><meta data-react-helmet="true" name="description" content="Certain nvidia cards include a hardware decoder, which can greatly improve the"><meta data-react-helmet="true" property="og:description" content="Certain nvidia cards include a hardware decoder, which can greatly improve the"><meta data-react-helmet="true" property="og:url" content="https://blakeblackshear.github.io/frigate/configuration/nvdec"><link data-react-helmet="true" rel="shortcut icon" href="/frigate/img/favicon.ico"><link data-react-helmet="true" rel="preconnect" href="https://BH4D9OD16A-dsn.algolia.net" crossorigin="anonymous"><link data-react-helmet="true" rel="canonical" href="https://blakeblackshear.github.io/frigate/configuration/nvdec"><link rel="stylesheet" href="/frigate/styles.4dd8d972.css">
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performance of video decoding. In order to use NVDEC, a special build of
ffmpeg with NVDEC support is required. The special docker architecture &#x27;amd64nvidia&#x27;
includes this support for amd64 platforms. An aarch64 for the Jetson, which
also includes NVDEC may be added in the future.</p><h2><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="docker-setup"></a>Docker setup<a class="hash-link" href="#docker-setup" title="Direct link to heading">#</a></h2><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="requirements"></a>Requirements<a class="hash-link" href="#requirements" title="Direct link to heading">#</a></h3><p><a href="https://www.nvidia.com/en-us/drivers/unix/" target="_blank" rel="noopener noreferrer">nVidia closed source driver</a> required to access NVDEC.
<a href="https://github.com/NVIDIA/nvidia-docker" target="_blank" rel="noopener noreferrer">nvidia-docker</a> required to pass NVDEC to docker.</p><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="setting-up-docker-compose"></a>Setting up docker-compose<a class="hash-link" href="#setting-up-docker-compose" title="Direct link to heading">#</a></h3><p>In order to pass NVDEC, the docker engine must be set to <code>nvidia</code> and the environment variables
<code>NVIDIA_VISIBLE_DEVICES=all</code> and <code>NVIDIA_DRIVER_CAPABILITIES=compute,utility,video</code> must be set.</p><p>In a docker compose file, these lines need to be set:</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain">services:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> frigate:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> ...</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> image: blakeblackshear/frigate:stable-amd64nvidia</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> runtime: nvidia</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> environment:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - NVIDIA_VISIBLE_DEVICES=all</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="setting-up-the-configuration-file"></a>Setting up the configuration file<a class="hash-link" href="#setting-up-the-configuration-file" title="Direct link to heading">#</a></h3><p>In your frigate config.yml, you&#x27;ll need to set ffmpeg to use the hardware decoder.
The decoder you choose will depend on the input video.</p><p>A list of supported codecs (you can use <code>ffmpeg -decoders | grep cuvid</code> in the container to get a list)</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... h263_cuvid Nvidia CUVID H263 decoder (codec h263)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... h264_cuvid Nvidia CUVID H264 decoder (codec h264)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... hevc_cuvid Nvidia CUVID HEVC decoder (codec hevc)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mjpeg_cuvid Nvidia CUVID MJPEG decoder (codec mjpeg)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg1_cuvid Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg2_cuvid Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg4_cuvid Nvidia CUVID MPEG4 decoder (codec mpeg4)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vc1_cuvid Nvidia CUVID VC1 decoder (codec vc1)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vp8_cuvid Nvidia CUVID VP8 decoder (codec vp8)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vp9_cuvid Nvidia CUVID VP9 decoder (codec vp9)</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><p>For example, for H265 video (hevc), you&#x27;ll select <code>hevc_cuvid</code>. Add
<code>-c:v hevc_covid</code> to your ffmpeg input arguments:</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain">ffmpeg:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> input_args:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> ...</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - -c:v</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - hevc_cuvid</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><p>If everything is working correctly, you should see a significant improvement in performance.
Verify that hardware decoding is working by running <code>nvidia-smi</code>, which should show the ffmpeg
processes:</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain">+-----------------------------------------------------------------------------+</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| NVIDIA-SMI 455.38 Driver Version: 455.38 CUDA Version: 11.1 |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">|-------------------------------+----------------------+----------------------+</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| | | MIG M. |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">|===============================+======================+======================|</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 GeForce GTX 166... Off | 00000000:03:00.0 Off | N/A |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 38% 41C P2 36W / 125W | 2082MiB / 5942MiB | 5% Default |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| | | N/A |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">+-------------------------------+----------------------+----------------------+</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain" style="display:inline-block">
</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">+-----------------------------------------------------------------------------+</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| Processes: |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| GPU GI CI PID Type Process name GPU Memory |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| ID ID Usage |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">|=============================================================================|</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12737 C ffmpeg 249MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12751 C ffmpeg 249MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12772 C ffmpeg 249MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12775 C ffmpeg 249MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12800 C ffmpeg 249MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12811 C ffmpeg 417MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">| 0 N/A N/A 12827 C ffmpeg 417MiB |</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">+-----------------------------------------------------------------------------+</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><p>To further improve performance, you can set ffmpeg to skip frames in the output,
using the fps filter:</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain"> output_args:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - -filter:v</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> - fps=fps=5</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><p>This setting, for example, allows Frigate to consume my 10-15fps camera streams on
my relatively low powered Haswell machine with relatively low cpu usage.</p></div></article><div class="margin-vert--xl"><div class="row"><div class="col"><a href="https://github.com/blakeblackshear/frigate/edit/master/docs/docs/configuration/nvdec.md" target="_blank" rel="noreferrer noopener"><svg fill="currentColor" height="1.2em" width="1.2em" preserveAspectRatio="xMidYMid meet" role="img" viewBox="0 0 40 40" class="iconEdit_2LL7"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div></div></div><div class="margin-vert--lg"><nav class="pagination-nav" aria-label="Blog list page navigation"><div class="pagination-nav__item"></div><div class="pagination-nav__item pagination-nav__item--next"></div></nav></div></div></div><div class="col col--3"><div class="tableOfContents_2xL- thin-scrollbar"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#docker-setup" class="table-of-contents__link">Docker setup</a><ul><li><a href="#requirements" class="table-of-contents__link">Requirements</a></li><li><a href="#setting-up-docker-compose" class="table-of-contents__link">Setting up docker-compose</a></li><li><a href="#setting-up-the-configuration-file" class="table-of-contents__link">Setting up the configuration file</a></li></ul></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container"><div class="row footer__links"><div class="col footer__col"><h4 class="footer__title">Community</h4><ul class="footer__items"><li class="footer__item"><a href="https://github.com/blakeblackshear/frigate" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub</a></li><li class="footer__item"><a href="https://github.com/blakeblackshear/frigate/discussions" target="_blank" rel="noopener noreferrer" class="footer__link-item">Discussions</a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2021 Blake Blackshear</div></div></div></footer></div>
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