Compare commits

..
44 Commits
Author SHA1 Message Date
Blake Blackshear d95b381530 Create CNAME 2021-10-10 12:34:26 -05:00
blakeblackshear f6aaf8e36f deploy: d35b09b18f 2021-09-05 16:15:33 +00:00
blakeblackshear 389bf94641 deploy: faf103152a 2021-09-03 12:05:21 +00:00
blakeblackshear eb1b26f855 deploy: 58c0d97b5f 2021-08-14 12:37:01 +00:00
blakeblackshear 5c2dd3d931 deploy: abef002af8 2021-08-14 12:28:46 +00:00
blakeblackshear 2f475e6e79 deploy: adf2bc078c 2021-08-14 12:24:30 +00:00
blakeblackshear 9350ebfc3e deploy: 3bc75ae931 2021-08-05 10:43:14 +00:00
blakeblackshear 1978bf110a deploy: 03e756dd27 2021-06-17 12:29:17 +00:00
blakeblackshear 80993e2d03 deploy: 8ea75e6748 2021-06-05 12:29:04 +00:00
paularmstrong 72ab098fbe deploy: 09a4d6d030 2021-05-26 14:40:49 +00:00
paularmstrong 20fec29e0a deploy: e16dbcb671 2021-05-20 14:02:38 +00:00
blakeblackshear 3c87c40d4d deploy: e89697fab0 2021-05-19 11:49:51 +00:00
blakeblackshear fe92bc146b deploy: c52782aa3f 2021-05-19 01:46:10 +00:00
paularmstrong aeab8ecba7 deploy: 7060f22024 2021-05-14 16:24:22 +00:00
blakeblackshear 39a187989c deploy: d1931f249c 2021-05-14 12:16:14 +00:00
blakeblackshear 91325a8ab6 deploy: bf1a542afb 2021-05-13 12:42:06 +00:00
blakeblackshear af2bfbff1b deploy: f667bd9066 2021-05-12 11:56:36 +00:00
blakeblackshear 46c2874f4a deploy: 3eb0021207 2021-05-12 11:46:40 +00:00
blakeblackshear cc563cdc00 deploy: 6379f5cd5e 2021-05-12 11:45:50 +00:00
blakeblackshear 0d084d4f9c deploy: ad85beea91 2021-05-11 11:49:35 +00:00
blakeblackshear 7b16548ce1 deploy: 20a52bc4e6 2021-05-07 12:23:28 +00:00
blakeblackshear 4afebae33e deploy: 42410a260c 2021-04-07 18:51:05 +00:00
blakeblackshear 27a535d886 deploy: 9d2469549f 2021-04-07 18:28:07 +00:00
blakeblackshear 8b5d29a9bd deploy: d2bc2c20c1 2021-03-19 14:32:33 +00:00
blakeblackshear a34629d4fb deploy: 10c37a3036 2021-03-09 12:24:52 +00:00
blakeblackshear 8c5a473bed deploy: 00d14fa49f 2021-03-02 12:44:00 +00:00
blakeblackshear 62369c3fe6 deploy: 2f3339ba85 2021-02-23 13:39:11 +00:00
blakeblackshear 3d099bf047 deploy: 9433b50785 2021-02-22 13:21:51 +00:00
blakeblackshear 98e5d69e9c deploy: 31d408a746 2021-02-20 14:21:28 +00:00
blakeblackshear 2fb01f0be5 deploy: 54671fc522 2021-02-11 03:00:18 +00:00
blakeblackshear 5091720784 deploy: 53e3e6545d 2021-02-11 02:59:23 +00:00
blakeblackshear 8b9e6d8501 deploy: c065cb48f2 2021-02-03 12:57:24 +00:00
blakeblackshear acca456546 deploy: 45526a7652 2021-01-31 12:19:43 +00:00
blakeblackshear 2bd2bc9745 deploy: 9a96df0319 2021-01-31 04:16:31 +00:00
blakeblackshear 6252561705 deploy: e9b1618364 2021-01-29 12:44:24 +00:00
blakeblackshear 01f520aa35 deploy: faa8abb2b9 2021-01-28 14:23:08 +00:00
blakeblackshear 8013f8c27b deploy: a06212c15b63af749434fd71d53ecef2738f853a 2021-01-28 14:07:19 +00:00
blakeblackshear f6ca4bab21 deploy: f6cd2fc68e 2021-01-28 13:46:31 +00:00
blakeblackshear c87bd024bc deploy: dcf7209706 2021-01-28 12:45:00 +00:00
blakeblackshear 1947e574dc deploy: e8586d6459 2021-01-26 03:14:46 +00:00
blakeblackshear cbb31c4a14 deploy: 5ddfde2e72 2021-01-24 14:29:07 +00:00
blakeblackshear 87b3568a95 deploy: 84ed126db6 2021-01-22 14:03:31 +00:00
blakeblackshear c4367387df deploy: a76f54c326 2021-01-22 13:50:27 +00:00
blakeblackshear 090abb9044 deploy: b93d354c60 2021-01-22 13:34:40 +00:00
256 changed files with 943 additions and 41139 deletions
-7
View File
@@ -1,7 +0,0 @@
README.md
docs/
.gitignore
debug
config/
*.pyc
.git
-1
View File
@@ -1 +0,0 @@
github: blakeblackshear
-56
View File
@@ -1,56 +0,0 @@
---
name: Bug report or Support request
about: Bug report or Support request
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what your issue is.
**Version of frigate**
Output from `/version`
**Config file**
Include your full config file wrapped in triple back ticks.
```yaml
config here
```
**Frigate container logs**
```
Include relevant log output here
```
**Frigate stats**
```json
Output from frigate's /stats endpoint
```
**FFprobe from your camera**
Run the following command and paste output below
```
ffprobe <stream_url>
```
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Computer Hardware**
- OS: [e.g. Ubuntu, Windows]
- Install method: [e.g. Addon, Docker Compose, Docker Command]
- Virtualization: [e.g. Proxmox, Virtualbox]
- Coral Version: [e.g. USB, PCIe, None]
- Network Setup: [e.g. Wired, WiFi]
**Camera Info:**
- Manufacturer: [e.g. Dahua]
- Model: [e.g. IPC-HDW5231R-ZE]
- Resolution: [e.g. 720p]
- FPS: [e.g. 5]
**Additional context**
Add any other context about the problem here.
-46
View File
@@ -1,46 +0,0 @@
name: On pull request
on: pull_request
jobs:
web_lint:
name: Web - Lint
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@master
- uses: actions/setup-node@master
with:
node-version: 14.x
- run: npm install
working-directory: ./web
- name: Lint
run: npm run lint:cmd
working-directory: ./web
web_build:
name: Web - Build
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@master
- uses: actions/setup-node@master
with:
node-version: 14.x
- run: npm install
working-directory: ./web
- name: Build
run: npm run build
working-directory: ./web
web_test:
name: Web - Test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@master
- uses: actions/setup-node@master
with:
node-version: 14.x
- run: npm install
working-directory: ./web
- name: Test
run: npm run test
working-directory: ./web
-28
View File
@@ -1,28 +0,0 @@
name: On push
on:
push:
branches:
- master
- release-0.8.0
jobs:
deploy-docs:
name: Deploy docs
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./docs
steps:
- uses: actions/checkout@master
- uses: actions/setup-node@master
with:
node-version: 12.x
- run: npm install
- name: Build docs
run: npm run build
- name: Deploy documentation
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./docs/build
-12
View File
@@ -1,12 +0,0 @@
.DS_Store
*.pyc
debug
.vscode
config/config.yml
models
*.mp4
*.db
frigate/version.py
web/build
web/node_modules
web/coverage
View File
File diff suppressed because one or more lines are too long
+1
View File
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+2
View File
File diff suppressed because one or more lines are too long
+5
View File
@@ -0,0 +1,5 @@
/*!
Copyright (c) 2017 Jed Watson.
Licensed under the MIT License (MIT), see
http://jedwatson.github.io/classnames
*/
+2
View File
File diff suppressed because one or more lines are too long
+1
View File
@@ -0,0 +1 @@
/*! algoliasearch-lite.umd.js | 4.8.4 | © Algolia, inc. | https://github.com/algolia/algoliasearch-client-javascript */
+1
View File
File diff suppressed because one or more lines are too long
+1
View File
File diff suppressed because one or more lines are too long
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[30],{179:function(n,i,o){"use strict";o.r(i);var r=o(55);for(var t in r)["default"].indexOf(t)<0&&function(n){o.d(i,n,(function(){return r[n]}))}(t)}}]);
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[31],{117:function(e,t,a){"use strict";a.r(t);var n=a(0),o=a.n(n),l=a(110);t.default=function(){return o.a.createElement(l.a,{title:"Page Not Found"},o.a.createElement("main",{className:"container margin-vert--xl"},o.a.createElement("div",{className:"row"},o.a.createElement("div",{className:"col col--6 col--offset-3"},o.a.createElement("h1",{className:"hero__title"},"Page Not Found"),o.a.createElement("p",null,"We could not find what you were looking for."),o.a.createElement("p",null,"Please contact the owner of the site that linked you to the original URL and let them know their link is broken.")))))}}}]);
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[6],{75:function(e,t,r){"use strict";r.r(t),r.d(t,"frontMatter",(function(){return i})),r.d(t,"metadata",(function(){return c})),r.d(t,"toc",(function(){return u})),r.d(t,"default",(function(){return s}));var n=r(3),a=r(7),o=(r(0),r(99)),i={id:"web",title:"Web Interface"},c={unversionedId:"usage/web",id:"usage/web",isDocsHomePage:!1,title:"Web Interface",description:"Frigate comes bundled with a simple web ui that supports the following:",source:"@site/docs/usage/web.md",slug:"/usage/web",permalink:"/frigate/usage/web",editUrl:"https://github.com/blakeblackshear/frigate/edit/master/docs/docs/usage/web.md",version:"current",sidebar:"docs",previous:{title:"Integration with Home Assistant",permalink:"/frigate/usage/home-assistant"},next:{title:"HTTP API",permalink:"/frigate/usage/api"}},u=[],l={toc:u};function s(e){var t=e.components,r=Object(a.a)(e,["components"]);return Object(o.b)("wrapper",Object(n.a)({},l,r,{components:t,mdxType:"MDXLayout"}),Object(o.b)("p",null,"Frigate comes bundled with a simple web ui that supports the following:"),Object(o.b)("ul",null,Object(o.b)("li",{parentName:"ul"},"Show cameras"),Object(o.b)("li",{parentName:"ul"},"Browse events"),Object(o.b)("li",{parentName:"ul"},"Mask helper")))}s.isMDXComponent=!0},99:function(e,t,r){"use strict";r.d(t,"a",(function(){return p})),r.d(t,"b",(function(){return m}));var n=r(0),a=r.n(n);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function c(e){for(var t=1;t<arguments.length;t++){var r=null!=arguments[t]?arguments[t]:{};t%2?i(Object(r),!0).forEach((function(t){o(e,t,r[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(r)):i(Object(r)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(r,t))}))}return e}function u(e,t){if(null==e)return{};var r,n,a=function(e,t){if(null==e)return{};var r,n,a={},o=Object.keys(e);for(n=0;n<o.length;n++)r=o[n],t.indexOf(r)>=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n<o.length;n++)r=o[n],t.indexOf(r)>=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var l=a.a.createContext({}),s=function(e){var t=a.a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):c(c({},t),e)),r},p=function(e){var t=s(e.components);return a.a.createElement(l.Provider,{value:t},e.children)},b={inlineCode:"code",wrapper:function(e){var t=e.children;return a.a.createElement(a.a.Fragment,{},t)}},f=a.a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,i=e.parentName,l=u(e,["components","mdxType","originalType","parentName"]),p=s(r),f=n,m=p["".concat(i,".").concat(f)]||p[f]||b[f]||o;return r?a.a.createElement(m,c(c({ref:t},l),{},{components:r})):a.a.createElement(m,c({ref:t},l))}));function m(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,i=new Array(o);i[0]=f;var c={};for(var u in t)hasOwnProperty.call(t,u)&&(c[u]=t[u]);c.originalType=e,c.mdxType="string"==typeof e?e:n,i[1]=c;for(var l=2;l<o;l++)i[l]=r[l];return a.a.createElement.apply(null,i)}return a.a.createElement.apply(null,r)}f.displayName="MDXCreateElement"}}]);
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+31
View File
@@ -0,0 +1,31 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="generator" content="Docusaurus v2.0.0-alpha.70">
<link rel="alternate" type="application/rss+xml" href="/frigate/blog/rss.xml" title="Frigate Blog RSS Feed">
<link rel="alternate" type="application/atom+xml" href="/frigate/blog/atom.xml" title="Frigate Blog Atom Feed">
<link rel="search" type="application/opensearchdescription+xml" title="Frigate" href="/frigate/opensearch.xml"><title data-react-helmet="true">Page Not Found | Frigate</title><meta data-react-helmet="true" property="og:title" content="Page Not Found | Frigate"><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:docusaurus_tag" content="default"><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 rel="stylesheet" href="/frigate/styles.4dd8d972.css">
<link rel="preload" href="/frigate/styles.0df63e1c.js" as="script">
<link rel="preload" href="/frigate/runtime~main.85a22073.js" as="script">
<link rel="preload" href="/frigate/main.b6b2d1f0.js" as="script">
<link rel="preload" href="/frigate/1.d4a988ac.js" as="script">
<link rel="preload" href="/frigate/2.cbe00df1.js" as="script">
<link rel="preload" href="/frigate/28.fabd8c68.js" as="script">
<link rel="preload" href="/frigate/31.3f82c6fa.js" as="script">
<link rel="preload" href="/frigate/935f2afb.06dae20f.js" as="script">
</head>
<body>
<script>!function(){function t(t){document.documentElement.setAttribute("data-theme",t)}var e=function(){var t=null;try{t=localStorage.getItem("theme")}catch(t){}return t}();t(null!==e?e:"light")}()</script><div id="__docusaurus">
<nav aria-label="Skip navigation links"><button type="button" tabindex="0" class="skipToContent_11B0">Skip to main content</button></nav><nav class="navbar navbar--fixed-top"><div class="navbar__inner"><div class="navbar__items"><div aria-label="Navigation bar toggle" class="navbar__toggle" role="button" tabindex="0"><svg aria-label="Menu" width="30" height="30" viewBox="0 0 30 30" role="img" focusable="false"><title>Menu</title><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></div><a class="navbar__brand" href="/frigate/"><img src="/frigate/img/logo.svg" alt="Frigate" class="themedImage_YANc themedImage--light_3CMI navbar__logo"><img src="/frigate/img/logo-dark.svg" alt="Frigate" class="themedImage_YANc themedImage--dark_3ARp navbar__logo"><strong class="navbar__title">Frigate</strong></a><a class="navbar__item navbar__link" href="/frigate/">Docs</a></div><div class="navbar__items navbar__items--right"><a href="https://github.com/blakeblackshear/frigate" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link">GitHub</a><div class="react-toggle react-toggle--disabled displayOnlyInLargeViewport_2N3Q"><div class="react-toggle-track"><div class="react-toggle-track-check"><span class="toggle_3NWk">🌜</span></div><div class="react-toggle-track-x"><span class="toggle_3NWk">🌞</span></div></div><div class="react-toggle-thumb"></div><input type="checkbox" disabled="" aria-label="Dark mode toggle" class="react-toggle-screenreader-only"></div><button type="button" class="DocSearch DocSearch-Button" aria-label="Search"><div class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 20 20"><path d="M14.386 14.386l4.0877 4.0877-4.0877-4.0877c-2.9418 2.9419-7.7115 2.9419-10.6533 0-2.9419-2.9418-2.9419-7.7115 0-10.6533 2.9418-2.9419 7.7115-2.9419 10.6533 0 2.9419 2.9418 2.9419 7.7115 0 10.6533z" stroke="currentColor" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></div></button></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div><div class="navbar-sidebar"><div class="navbar-sidebar__brand"><a class="navbar__brand" href="/frigate/"><img src="/frigate/img/logo.svg" alt="Frigate" class="themedImage_YANc themedImage--light_3CMI navbar__logo"><img src="/frigate/img/logo-dark.svg" alt="Frigate" class="themedImage_YANc themedImage--dark_3ARp navbar__logo"><strong class="navbar__title">Frigate</strong></a></div><div class="navbar-sidebar__items"><div class="menu"><ul class="menu__list"><li class="menu__list-item"><a class="menu__link" href="/frigate/">Docs</a></li><li class="menu__list-item"><a href="https://github.com/blakeblackshear/frigate" target="_blank" rel="noopener noreferrer" class="menu__link">GitHub</a></li></ul></div></div></div></nav><div class="main-wrapper"><main class="container margin-vert--xl"><div class="row"><div class="col col--6 col--offset-3"><h1 class="hero__title">Page Not Found</h1><p>We could not find what you were looking for.</p><p>Please contact the owner of the site that linked you to the original URL and let them know their link is broken.</p></div></div></main></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>
<script src="/frigate/styles.0df63e1c.js"></script>
<script src="/frigate/runtime~main.85a22073.js"></script>
<script src="/frigate/main.b6b2d1f0.js"></script>
<script src="/frigate/1.d4a988ac.js"></script>
<script src="/frigate/2.cbe00df1.js"></script>
<script src="/frigate/28.fabd8c68.js"></script>
<script src="/frigate/31.3f82c6fa.js"></script>
<script src="/frigate/935f2afb.06dae20f.js"></script>
</body>
</html>
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[12],{159:function(e,t,r){"use strict";r.r(t),t.default=r.p+"assets/images/diagram-3101f1674015822e176773924caae31a.png"},81:function(e,t,r){"use strict";r.r(t),r.d(t,"frontMatter",(function(){return i})),r.d(t,"metadata",(function(){return c})),r.d(t,"toc",(function(){return s})),r.d(t,"default",(function(){return u}));var n=r(3),o=r(7),a=(r(0),r(99)),i={id:"how-it-works",title:"How Frigate Works",sidebar_label:"How it works"},c={unversionedId:"how-it-works",id:"how-it-works",isDocsHomePage:!1,title:"How Frigate Works",description:"Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary",source:"@site/docs/how-it-works.md",slug:"/how-it-works",permalink:"/frigate/how-it-works",editUrl:"https://github.com/blakeblackshear/frigate/edit/master/docs/docs/how-it-works.md",version:"current",sidebar_label:"How it works",sidebar:"docs",previous:{title:"Frigate",permalink:"/frigate/"},next:{title:"Recommended hardware",permalink:"/frigate/hardware"}},s=[],l={toc:s};function u(e){var t=e.components,i=Object(o.a)(e,["components"]);return Object(a.b)("wrapper",Object(n.a)({},l,i,{components:t,mdxType:"MDXLayout"}),Object(a.b)("p",null,"Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary"),Object(a.b)("p",null,Object(a.b)("img",{alt:"Diagram",src:r(159).default})),Object(a.b)("ol",null,Object(a.b)("li",{parentName:"ol"},"Look for Motion"),Object(a.b)("li",{parentName:"ol"},"Calculate Detection Regions"),Object(a.b)("li",{parentName:"ol"},"Run Object Detection")))}u.isMDXComponent=!0},99:function(e,t,r){"use strict";r.d(t,"a",(function(){return p})),r.d(t,"b",(function(){return m}));var n=r(0),o=r.n(n);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function c(e){for(var t=1;t<arguments.length;t++){var r=null!=arguments[t]?arguments[t]:{};t%2?i(Object(r),!0).forEach((function(t){a(e,t,r[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(r)):i(Object(r)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(r,t))}))}return e}function s(e,t){if(null==e)return{};var r,n,o=function(e,t){if(null==e)return{};var r,n,o={},a=Object.keys(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var l=o.a.createContext({}),u=function(e){var t=o.a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):c(c({},t),e)),r},p=function(e){var t=u(e.components);return o.a.createElement(l.Provider,{value:t},e.children)},f={inlineCode:"code",wrapper:function(e){var t=e.children;return o.a.createElement(o.a.Fragment,{},t)}},b=o.a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,a=e.originalType,i=e.parentName,l=s(e,["components","mdxType","originalType","parentName"]),p=u(r),b=n,m=p["".concat(i,".").concat(b)]||p[b]||f[b]||a;return r?o.a.createElement(m,c(c({ref:t},l),{},{components:r})):o.a.createElement(m,c({ref:t},l))}));function m(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var a=r.length,i=new Array(a);i[0]=b;var c={};for(var s in t)hasOwnProperty.call(t,s)&&(c[s]=t[s]);c.originalType=e,c.mdxType="string"==typeof e?e:n,i[1]=c;for(var l=2;l<a;l++)i[l]=r[l];return o.a.createElement.apply(null,i)}return o.a.createElement.apply(null,r)}b.displayName="MDXCreateElement"}}]);
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[13],{84:function(e){e.exports=JSON.parse('{"pluginId":"default","version":"current","label":"Next","isLast":true,"docsSidebars":{"docs":[{"collapsed":true,"type":"category","label":"Frigate","items":[{"type":"link","label":"Features","href":"/frigate/"},{"type":"link","label":"How it works","href":"/frigate/how-it-works"},{"type":"link","label":"Recommended hardware","href":"/frigate/hardware"},{"type":"link","label":"Installation","href":"/frigate/installation"},{"type":"link","label":"Troubleshooting and FAQ","href":"/frigate/troubleshooting"}]},{"collapsed":true,"type":"category","label":"Configuration","items":[{"type":"link","label":"Configuration","href":"/frigate/configuration/index"},{"type":"link","label":"Cameras","href":"/frigate/configuration/cameras"},{"type":"link","label":"Optimizing performance","href":"/frigate/configuration/optimizing"},{"type":"link","label":"Detectors","href":"/frigate/configuration/detectors"},{"type":"link","label":"Reducing false positives","href":"/frigate/configuration/false_positives"},{"type":"link","label":"Available objects","href":"/frigate/configuration/objects"},{"type":"link","label":"Advanced","href":"/frigate/configuration/advanced"}]},{"collapsed":true,"type":"category","label":"Usage","items":[{"type":"link","label":"Home Assistant","href":"/frigate/usage/home-assistant"},{"type":"link","label":"Web Interface","href":"/frigate/usage/web"},{"type":"link","label":"HTTP API","href":"/frigate/usage/api"},{"type":"link","label":"MQTT","href":"/frigate/usage/mqtt"}]},{"collapsed":true,"type":"category","label":"Development","items":[{"type":"link","label":"Contributing","href":"/frigate/contributing"}]}]},"permalinkToSidebar":{"/frigate/configuration/advanced":"docs","/frigate/configuration/cameras":"docs","/frigate/configuration/detectors":"docs","/frigate/configuration/false_positives":"docs","/frigate/configuration/index":"docs","/frigate/configuration/objects":"docs","/frigate/configuration/optimizing":"docs","/frigate/contributing":"docs","/frigate/hardware":"docs","/frigate/how-it-works":"docs","/frigate/":"docs","/frigate/installation":"docs","/frigate/troubleshooting":"docs","/frigate/usage/api":"docs","/frigate/usage/home-assistant":"docs","/frigate/usage/mqtt":"docs","/frigate/usage/web":"docs"}}')}}]);
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+1
View File
@@ -0,0 +1 @@
docs.frigate.video
-21
View File
@@ -1,21 +0,0 @@
The MIT License
Copyright (c) 2020 Blake Blackshear
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
-59
View File
@@ -1,59 +0,0 @@
default_target: amd64_frigate
COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
version:
echo "VERSION='0.8.2-$(COMMIT_HASH)'" > frigate/version.py
web:
docker build --tag frigate-web --file docker/Dockerfile.web web/
amd64_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.3-amd64 --file docker/Dockerfile.wheels .
amd64_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.1.0-amd64 --file docker/Dockerfile.ffmpeg.amd64 .
amd64_frigate: version web
docker build --tag frigate-base --build-arg ARCH=amd64 --build-arg FFMPEG_VERSION=1.1.0 --build-arg WHEELS_VERSION=1.0.3 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.amd64 .
amd64_all: amd64_wheels amd64_ffmpeg amd64_frigate
amd64nvidia_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.3-amd64nvidia --file docker/Dockerfile.wheels .
amd64nvidia_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-amd64nvidia --file docker/Dockerfile.ffmpeg.amd64nvidia .
amd64nvidia_frigate: version web
docker build --tag frigate-base --build-arg ARCH=amd64nvidia --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.amd64nvidia .
amd64nvidia_all: amd64nvidia_wheels amd64nvidia_ffmpeg amd64nvidia_frigate
aarch64_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.3-aarch64 --file docker/Dockerfile.wheels .
aarch64_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
aarch64_frigate: version web
docker build --tag frigate-base --build-arg ARCH=aarch64 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.aarch64 .
armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
armv7_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.3-armv7 --file docker/Dockerfile.wheels .
armv7_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-armv7 --file docker/Dockerfile.ffmpeg.armv7 .
armv7_frigate: version web
docker build --tag frigate-base --build-arg ARCH=armv7 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.armv7 .
armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
.PHONY: web
-41
View File
@@ -1,41 +0,0 @@
<p align="center">
<img align="center" alt="logo" src="docs/static/img/frigate.png">
</p>
# Frigate - NVR With Realtime Object Detection for IP Cameras
A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
- Tight integration with HomeAssistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video clips of detected objects
- 24/7 recording
- Re-streaming via RTMP to reduce the number of connections to your camera
## Documentation
View the documentation at https://blakeblackshear.github.io/frigate
## Donations
If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
## Screenshots
Integration into HomeAssistant
<div>
<a href="docs/static/img/media_browser.png"><img src="docs/static/img/media_browser.png" height=400></a>
<a href="docs/static/img/notification.png"><img src="docs/static/img/notification.png" height=400></a>
</div>
Also comes with a builtin UI:
<div>
<a href="docs/static/img/home-ui.png"><img src="docs/static/img/home-ui.png" height=400></a>
<a href="docs/static/img/camera-ui.png"><img src="docs/static/img/camera-ui.png" height=400></a>
</div>
![Events](docs/static/img/events-ui.png)
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long

Before

Width:  |  Height:  |  Size: 132 KiB

After

Width:  |  Height:  |  Size: 132 KiB

Before

Width:  |  Height:  |  Size: 1.1 MiB

After

Width:  |  Height:  |  Size: 1.1 MiB

Before

Width:  |  Height:  |  Size: 781 KiB

After

Width:  |  Height:  |  Size: 781 KiB

Before

Width:  |  Height:  |  Size: 64 KiB

After

Width:  |  Height:  |  Size: 64 KiB

Before

Width:  |  Height:  |  Size: 1.5 MiB

After

Width:  |  Height:  |  Size: 1.5 MiB

-93
View File
@@ -1,93 +0,0 @@
import os
from statistics import mean
import multiprocessing as mp
import numpy as np
import datetime
from frigate.edgetpu import LocalObjectDetector, EdgeTPUProcess, RemoteObjectDetector, load_labels
my_frame = np.expand_dims(np.full((300,300,3), 1, np.uint8), axis=0)
labels = load_labels('/labelmap.txt')
######
# Minimal same process runner
######
# object_detector = LocalObjectDetector()
# tensor_input = np.expand_dims(np.full((300,300,3), 0, np.uint8), axis=0)
# start = datetime.datetime.now().timestamp()
# frame_times = []
# for x in range(0, 1000):
# start_frame = datetime.datetime.now().timestamp()
# tensor_input[:] = my_frame
# detections = object_detector.detect_raw(tensor_input)
# parsed_detections = []
# for d in detections:
# if d[1] < 0.4:
# break
# parsed_detections.append((
# labels[int(d[0])],
# float(d[1]),
# (d[2], d[3], d[4], d[5])
# ))
# frame_times.append(datetime.datetime.now().timestamp()-start_frame)
# duration = datetime.datetime.now().timestamp()-start
# print(f"Processed for {duration:.2f} seconds.")
# print(f"Average frame processing time: {mean(frame_times)*1000:.2f}ms")
def start(id, num_detections, detection_queue, event):
object_detector = RemoteObjectDetector(str(id), '/labelmap.txt', detection_queue, event)
start = datetime.datetime.now().timestamp()
frame_times = []
for x in range(0, num_detections):
start_frame = datetime.datetime.now().timestamp()
detections = object_detector.detect(my_frame)
frame_times.append(datetime.datetime.now().timestamp()-start_frame)
duration = datetime.datetime.now().timestamp()-start
object_detector.cleanup()
print(f"{id} - Processed for {duration:.2f} seconds.")
print(f"{id} - FPS: {object_detector.fps.eps():.2f}")
print(f"{id} - Average frame processing time: {mean(frame_times)*1000:.2f}ms")
######
# Separate process runner
######
# event = mp.Event()
# detection_queue = mp.Queue()
# edgetpu_process = EdgeTPUProcess(detection_queue, {'1': event}, 'usb:0')
# start(1, 1000, edgetpu_process.detection_queue, event)
# print(f"Average raw inference speed: {edgetpu_process.avg_inference_speed.value*1000:.2f}ms")
####
# Multiple camera processes
####
camera_processes = []
events = {}
for x in range(0, 10):
events[str(x)] = mp.Event()
detection_queue = mp.Queue()
edgetpu_process_1 = EdgeTPUProcess(detection_queue, events, 'usb:0')
edgetpu_process_2 = EdgeTPUProcess(detection_queue, events, 'usb:1')
for x in range(0, 10):
camera_process = mp.Process(target=start, args=(x, 300, detection_queue, events[str(x)]))
camera_process.daemon = True
camera_processes.append(camera_process)
start_time = datetime.datetime.now().timestamp()
for p in camera_processes:
p.start()
for p in camera_processes:
p.join()
duration = datetime.datetime.now().timestamp()-start_time
print(f"Total - Processed for {duration:.2f} seconds.")
+10
View File
@@ -0,0 +1,10 @@
<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<id>https://blakeblackshear.github.io/blog</id>
<title>Frigate Blog</title>
<updated>2015-10-25T23:29:00.000Z</updated>
<generator>https://github.com/jpmonette/feed</generator>
<link rel="alternate" href="https://blakeblackshear.github.io/blog"/>
<subtitle>Frigate Blog</subtitle>
<icon>https://blakeblackshear.github.io/img/favicon.ico</icon>
</feed>
+11
View File
@@ -0,0 +1,11 @@
<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
<channel>
<title>Frigate Blog</title>
<link>https://blakeblackshear.github.io/blog</link>
<description>Frigate Blog</description>
<lastBuildDate>Sun, 25 Oct 2015 23:29:00 GMT</lastBuildDate>
<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
<generator>https://github.com/jpmonette/feed</generator>
</channel>
</rss>
File diff suppressed because one or more lines are too long
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[21],{92:function(e,t,r){"use strict";r.r(t),r.d(t,"frontMatter",(function(){return c})),r.d(t,"metadata",(function(){return i})),r.d(t,"toc",(function(){return u})),r.d(t,"Highlight",(function(){return p})),r.d(t,"default",(function(){return d}));var n=r(3),o=r(7),a=(r(0),r(99)),c={id:"mdx",title:"Powered by MDX"},i={unversionedId:"mdx",id:"mdx",isDocsHomePage:!1,title:"Powered by MDX",description:"You can write JSX and use React components within your Markdown thanks to MDX.",source:"@site/docs/mdx.md",slug:"/mdx",permalink:"/frigate/mdx",editUrl:"https://github.com/blakeblackshear/frigate/edit/master/docs/docs/mdx.md",version:"current"},u=[],p=function(e){var t=e.children,r=e.color;return Object(a.b)("span",{style:{backgroundColor:r,borderRadius:"2px",color:"#fff",padding:"0.2rem"}},t)},l={toc:u,Highlight:p};function d(e){var t=e.components,r=Object(o.a)(e,["components"]);return Object(a.b)("wrapper",Object(n.a)({},l,r,{components:t,mdxType:"MDXLayout"}),Object(a.b)("p",null,"You can write JSX and use React components within your Markdown thanks to ",Object(a.b)("a",Object(n.a)({parentName:"p"},{href:"https://mdxjs.com/"}),"MDX"),"."),Object(a.b)(p,{color:"#25c2a0",mdxType:"Highlight"},"Docusaurus green")," and ",Object(a.b)(p,{color:"#1877F2",mdxType:"Highlight"},"Facebook blue")," are my favorite colors.",Object(a.b)("p",null,"I can write ",Object(a.b)("strong",{parentName:"p"},"Markdown")," alongside my ",Object(a.b)("em",{parentName:"p"},"JSX"),"!"))}d.isMDXComponent=!0},99:function(e,t,r){"use strict";r.d(t,"a",(function(){return d})),r.d(t,"b",(function(){return b}));var n=r(0),o=r.n(n);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function c(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function i(e){for(var t=1;t<arguments.length;t++){var r=null!=arguments[t]?arguments[t]:{};t%2?c(Object(r),!0).forEach((function(t){a(e,t,r[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(r)):c(Object(r)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(r,t))}))}return e}function u(e,t){if(null==e)return{};var r,n,o=function(e,t){if(null==e)return{};var r,n,o={},a=Object.keys(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var p=o.a.createContext({}),l=function(e){var t=o.a.useContext(p),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},d=function(e){var t=l(e.components);return o.a.createElement(p.Provider,{value:t},e.children)},s={inlineCode:"code",wrapper:function(e){var t=e.children;return o.a.createElement(o.a.Fragment,{},t)}},f=o.a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,a=e.originalType,c=e.parentName,p=u(e,["components","mdxType","originalType","parentName"]),d=l(r),f=n,b=d["".concat(c,".").concat(f)]||d[f]||s[f]||a;return r?o.a.createElement(b,i(i({ref:t},p),{},{components:r})):o.a.createElement(b,i({ref:t},p))}));function b(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var a=r.length,c=new Array(a);c[0]=f;var i={};for(var u in t)hasOwnProperty.call(t,u)&&(i[u]=t[u]);i.originalType=e,i.mdxType="string"==typeof e?e:n,c[1]=i;for(var p=2;p<a;p++)c[p]=r[p];return o.a.createElement.apply(null,c)}return o.a.createElement.apply(null,r)}f.displayName="MDXCreateElement"}}]);
+1
View File
@@ -0,0 +1 @@
(window.webpackJsonp=window.webpackJsonp||[]).push([[22],{93:function(e,t,r){"use strict";r.r(t),r.d(t,"frontMatter",(function(){return i})),r.d(t,"metadata",(function(){return c})),r.d(t,"toc",(function(){return u})),r.d(t,"default",(function(){return l}));var n=r(3),o=r(7),a=(r(0),r(99)),i={id:"howtos",title:"Community Guides",sidebar_label:"Community Guides"},c={unversionedId:"usage/howtos",id:"usage/howtos",isDocsHomePage:!1,title:"Community Guides",description:"Communitiy Guides/How-To's",source:"@site/docs/usage/howtos.md",slug:"/usage/howtos",permalink:"/frigate/usage/howtos",editUrl:"https://github.com/blakeblackshear/frigate/edit/master/docs/docs/usage/howtos.md",version:"current",sidebar_label:"Community Guides"},u=[{value:"Communitiy Guides/How-To&#39;s",id:"communitiy-guideshow-tos",children:[]}],s={toc:u};function l(e){var t=e.components,r=Object(o.a)(e,["components"]);return Object(a.b)("wrapper",Object(n.a)({},s,r,{components:t,mdxType:"MDXLayout"}),Object(a.b)("h2",{id:"communitiy-guideshow-tos"},"Communitiy Guides/How-To's"),Object(a.b)("ul",null,Object(a.b)("li",{parentName:"ul"},"Best Camera AI Person & Object Detection - How to Setup Frigate w/ Home Assistant - digiblurDIY ",Object(a.b)("a",Object(n.a)({parentName:"li"},{href:"https://youtu.be/V8vGdoYO6-Y"}),"YouTube")," - ",Object(a.b)("a",Object(n.a)({parentName:"li"},{href:"https://www.digiblur.com/2021/05/how-to-setup-frigate-home-assistant.html"}),"Article")),Object(a.b)("li",{parentName:"ul"},"Even More Free Local Object Detection with Home Assistant - Frigate Install - Everything Smart Home ",Object(a.b)("a",Object(n.a)({parentName:"li"},{href:"https://youtu.be/pqDCEZSVeRk"}),"YouTube")),Object(a.b)("li",{parentName:"ul"},"Home Assistant Frigate integration for local image recognition - KPeyanski ",Object(a.b)("a",Object(n.a)({parentName:"li"},{href:"https://youtu.be/Q2UT78lFQpo"}),"YouTube")," - ",Object(a.b)("a",Object(n.a)({parentName:"li"},{href:"https://peyanski.com/home-assistant-frigate-integration/"}),"Article"))))}l.isMDXComponent=!0},99:function(e,t,r){"use strict";r.d(t,"a",(function(){return p})),r.d(t,"b",(function(){return f}));var n=r(0),o=r.n(n);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function c(e){for(var t=1;t<arguments.length;t++){var r=null!=arguments[t]?arguments[t]:{};t%2?i(Object(r),!0).forEach((function(t){a(e,t,r[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(r)):i(Object(r)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(r,t))}))}return e}function u(e,t){if(null==e)return{};var r,n,o=function(e,t){if(null==e)return{};var r,n,o={},a=Object.keys(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n<a.length;n++)r=a[n],t.indexOf(r)>=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var s=o.a.createContext({}),l=function(e){var t=o.a.useContext(s),r=t;return e&&(r="function"==typeof e?e(t):c(c({},t),e)),r},p=function(e){var t=l(e.components);return o.a.createElement(s.Provider,{value:t},e.children)},m={inlineCode:"code",wrapper:function(e){var t=e.children;return o.a.createElement(o.a.Fragment,{},t)}},b=o.a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,a=e.originalType,i=e.parentName,s=u(e,["components","mdxType","originalType","parentName"]),p=l(r),b=n,f=p["".concat(i,".").concat(b)]||p[b]||m[b]||a;return r?o.a.createElement(f,c(c({ref:t},s),{},{components:r})):o.a.createElement(f,c({ref:t},s))}));function f(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var a=r.length,i=new Array(a);i[0]=b;var c={};for(var u in t)hasOwnProperty.call(t,u)&&(c[u]=t[u]);c.originalType=e,c.mdxType="string"==typeof e?e:n,i[1]=c;for(var s=2;s<a;s++)i[s]=r[s];return o.a.createElement.apply(null,i)}return o.a.createElement.apply(null,r)}b.displayName="MDXCreateElement"}}]);
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+48
View File
@@ -0,0 +1,48 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="generator" content="Docusaurus v2.0.0-alpha.70">
<link rel="alternate" type="application/rss+xml" href="/frigate/blog/rss.xml" title="Frigate Blog RSS Feed">
<link rel="alternate" type="application/atom+xml" href="/frigate/blog/atom.xml" title="Frigate Blog Atom Feed">
<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">
<link rel="preload" href="/frigate/styles.0df63e1c.js" as="script">
<link rel="preload" href="/frigate/runtime~main.85a22073.js" as="script">
<link rel="preload" href="/frigate/main.b6b2d1f0.js" as="script">
<link rel="preload" href="/frigate/1.d4a988ac.js" as="script">
<link rel="preload" href="/frigate/2.cbe00df1.js" as="script">
<link rel="preload" href="/frigate/28.fabd8c68.js" as="script">
<link rel="preload" href="/frigate/31.3f82c6fa.js" as="script">
<link rel="preload" href="/frigate/935f2afb.06dae20f.js" as="script">
<link rel="preload" href="/frigate/17896441.da8a454f.js" as="script">
<link rel="preload" href="/frigate/57316f1e.8b05c337.js" as="script">
</head>
<body>
<script>!function(){function t(t){document.documentElement.setAttribute("data-theme",t)}var e=function(){var t=null;try{t=localStorage.getItem("theme")}catch(t){}return t}();t(null!==e?e:"light")}()</script><div id="__docusaurus">
<nav aria-label="Skip navigation links"><button type="button" tabindex="0" class="skipToContent_11B0">Skip to main content</button></nav><nav class="navbar navbar--fixed-top"><div class="navbar__inner"><div class="navbar__items"><div aria-label="Navigation bar toggle" class="navbar__toggle" role="button" tabindex="0"><svg aria-label="Menu" width="30" height="30" viewBox="0 0 30 30" role="img" focusable="false"><title>Menu</title><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></div><a class="navbar__brand" href="/frigate/"><img src="/frigate/img/logo.svg" alt="Frigate" class="themedImage_YANc themedImage--light_3CMI navbar__logo"><img src="/frigate/img/logo-dark.svg" alt="Frigate" class="themedImage_YANc themedImage--dark_3ARp navbar__logo"><strong class="navbar__title">Frigate</strong></a><a class="navbar__item navbar__link" href="/frigate/">Docs</a></div><div class="navbar__items navbar__items--right"><a href="https://github.com/blakeblackshear/frigate" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link">GitHub</a><div class="react-toggle react-toggle--disabled displayOnlyInLargeViewport_2N3Q"><div class="react-toggle-track"><div class="react-toggle-track-check"><span class="toggle_3NWk">🌜</span></div><div class="react-toggle-track-x"><span class="toggle_3NWk">🌞</span></div></div><div class="react-toggle-thumb"></div><input type="checkbox" disabled="" aria-label="Dark mode toggle" class="react-toggle-screenreader-only"></div><button type="button" class="DocSearch DocSearch-Button" aria-label="Search"><div class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 20 20"><path d="M14.386 14.386l4.0877 4.0877-4.0877-4.0877c-2.9418 2.9419-7.7115 2.9419-10.6533 0-2.9419-2.9418-2.9419-7.7115 0-10.6533 2.9418-2.9419 7.7115-2.9419 10.6533 0 2.9419 2.9418 2.9419 7.7115 0 10.6533z" stroke="currentColor" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></div></button></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div><div class="navbar-sidebar"><div class="navbar-sidebar__brand"><a class="navbar__brand" href="/frigate/"><img src="/frigate/img/logo.svg" alt="Frigate" class="themedImage_YANc themedImage--light_3CMI navbar__logo"><img src="/frigate/img/logo-dark.svg" alt="Frigate" class="themedImage_YANc themedImage--dark_3ARp navbar__logo"><strong class="navbar__title">Frigate</strong></a></div><div class="navbar-sidebar__items"><div class="menu"><ul class="menu__list"><li class="menu__list-item"><a class="menu__link" href="/frigate/">Docs</a></li><li class="menu__list-item"><a href="https://github.com/blakeblackshear/frigate" target="_blank" rel="noopener noreferrer" class="menu__link">GitHub</a></li></ul></div></div></div></nav><div class="main-wrapper"><div class="docPage_vMrn"><main class="docMainContainer_2iGs"><div class="container padding-vert--lg docItemWrapper_1bxp"><div class="row"><div class="col docItemCol_U38p"><div class="docItemContainer_a7m4"><article><header><h1 class="docTitle_Oumm">nVidia hardware decoder</h1></header><div class="markdown"><p>Certain nvidia cards include a hardware decoder, which can greatly improve the
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_cuvid</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>
<script src="/frigate/styles.0df63e1c.js"></script>
<script src="/frigate/runtime~main.85a22073.js"></script>
<script src="/frigate/main.b6b2d1f0.js"></script>
<script src="/frigate/1.d4a988ac.js"></script>
<script src="/frigate/2.cbe00df1.js"></script>
<script src="/frigate/28.fabd8c68.js"></script>
<script src="/frigate/31.3f82c6fa.js"></script>
<script src="/frigate/935f2afb.06dae20f.js"></script>
<script src="/frigate/17896441.da8a454f.js"></script>
<script src="/frigate/57316f1e.8b05c337.js"></script>
</body>
</html>
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
-22
View File
@@ -1,22 +0,0 @@
FROM frigate-base
LABEL maintainer "blakeb@blakeshome.com"
ENV DEBIAN_FRONTEND=noninteractive
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get -qq install --no-install-recommends -y \
# ffmpeg runtime dependencies
libgomp1 \
# runtime dependencies
libopenexr24 \
libgstreamer1.0-0 \
libgstreamer-plugins-base1.0-0 \
libopenblas-base \
libjpeg-turbo8 \
libpng16-16 \
libtiff5 \
libdc1394-22 \
## Tensorflow lite
&& pip3 install https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_aarch64.whl \
&& rm -rf /var/lib/apt/lists/* \
&& (apt-get autoremove -y; apt-get autoclean -y)
-18
View File
@@ -1,18 +0,0 @@
FROM frigate-base
LABEL maintainer "blakeb@blakeshome.com"
# By default, use the i965 driver
ENV LIBVA_DRIVER_NAME=i965
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get -qq install --no-install-recommends -y \
# ffmpeg dependencies
libgomp1 \
# VAAPI drivers for Intel hardware accel
libva-drm2 libva2 libmfx1 i965-va-driver vainfo intel-media-va-driver mesa-va-drivers \
## Tensorflow lite
&& wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm -rf /var/lib/apt/lists/* \
&& (apt-get autoremove -y; apt-get autoclean -y)
-47
View File
@@ -1,47 +0,0 @@
FROM frigate-base
LABEL maintainer "blakeb@blakeshome.com"
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get -qq install --no-install-recommends -y \
# ffmpeg dependencies
libgomp1 \
## Tensorflow lite
&& wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm -rf /var/lib/apt/lists/* \
&& (apt-get autoremove -y; apt-get autoclean -y)
# nvidia layer (see https://gitlab.com/nvidia/container-images/cuda/blob/master/dist/11.1/ubuntu20.04-x86_64/base/Dockerfile)
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
RUN apt-get update && apt-get install -y --no-install-recommends \
gnupg2 curl ca-certificates && \
curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub | apt-key add - && \
echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \
apt-get purge --autoremove -y curl \
&& rm -rf /var/lib/apt/lists/*
ENV CUDA_VERSION 11.1.1
# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
RUN apt-get update && apt-get install -y --no-install-recommends \
cuda-cudart-11-1=11.1.74-1 \
cuda-compat-11-1 \
&& ln -s cuda-11.1 /usr/local/cuda && \
rm -rf /var/lib/apt/lists/*
# Required for nvidia-docker v1
RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
# nvidia-container-runtime
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
ENV NVIDIA_REQUIRE_CUDA "cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451"
-24
View File
@@ -1,24 +0,0 @@
FROM frigate-base
LABEL maintainer "blakeb@blakeshome.com"
ENV DEBIAN_FRONTEND=noninteractive
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get -qq install --no-install-recommends -y \
# ffmpeg runtime dependencies
libgomp1 \
# runtime dependencies
libopenexr24 \
libgstreamer1.0-0 \
libgstreamer-plugins-base1.0-0 \
libopenblas-base \
libjpeg-turbo8 \
libpng16-16 \
libtiff5 \
libdc1394-22 \
libaom0 \
libx265-179 \
## Tensorflow lite
&& pip3 install https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_armv7l.whl \
&& rm -rf /var/lib/apt/lists/* \
&& (apt-get autoremove -y; apt-get autoclean -y)
-61
View File
@@ -1,61 +0,0 @@
ARG ARCH=amd64
ARG WHEELS_VERSION
ARG FFMPEG_VERSION
FROM blakeblackshear/frigate-wheels:${WHEELS_VERSION}-${ARCH} as wheels
FROM blakeblackshear/frigate-ffmpeg:${FFMPEG_VERSION}-${ARCH} as ffmpeg
FROM frigate-web as web
FROM ubuntu:20.04
LABEL maintainer "blakeb@blakeshome.com"
COPY --from=ffmpeg /usr/local /usr/local/
COPY --from=wheels /wheels/. /wheels/
ENV FLASK_ENV=development
# ENV FONTCONFIG_PATH=/etc/fonts
ENV DEBIAN_FRONTEND=noninteractive
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get upgrade -y \
&& apt-get -qq install --no-install-recommends -y \
gnupg wget unzip tzdata nginx libnginx-mod-rtmp \
&& apt-get -qq install --no-install-recommends -y \
python3-pip \
&& pip3 install -U /wheels/*.whl \
&& APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn apt-key adv --fetch-keys https://packages.cloud.google.com/apt/doc/apt-key.gpg \
&& echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list \
&& echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections \
&& apt-get -qq update && apt-get -qq install --no-install-recommends -y \
libedgetpu1-max=15.0 \
&& rm -rf /var/lib/apt/lists/* /wheels \
&& (apt-get autoremove -y; apt-get autoclean -y)
RUN pip3 install \
peewee_migrate \
zeroconf \
voluptuous\
Flask-Sockets \
gevent \
gevent-websocket
COPY nginx/nginx.conf /etc/nginx/nginx.conf
# get model and labels
COPY labelmap.txt /labelmap.txt
RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite -O /edgetpu_model.tflite
RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess.tflite -O /cpu_model.tflite
WORKDIR /opt/frigate/
ADD frigate frigate/
ADD migrations migrations/
COPY --from=web /opt/frigate/build web/
COPY run.sh /run.sh
RUN chmod +x /run.sh
EXPOSE 5000
EXPOSE 1935
CMD ["/run.sh"]
-474
View File
@@ -1,474 +0,0 @@
# inspired by:
# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
# https://github.com/mmastrac/ffmpeg-omx-rpi-docker/blob/master/Dockerfile
# https://github.com/jrottenberg/ffmpeg/pull/158/files
# https://github.com/jrottenberg/ffmpeg/pull/239
FROM ubuntu:20.04 AS base
WORKDIR /tmp/workdir
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
apt-get autoremove -y && \
apt-get clean -y
FROM base as build
ENV FFMPEG_VERSION=4.3.1 \
AOM_VERSION=v1.0.0 \
FDKAAC_VERSION=0.1.5 \
FREETYPE_VERSION=2.5.5 \
FRIBIDI_VERSION=0.19.7 \
KVAZAAR_VERSION=1.2.0 \
LAME_VERSION=3.100 \
LIBPTHREAD_STUBS_VERSION=0.4 \
LIBVIDSTAB_VERSION=1.1.0 \
LIBXCB_VERSION=1.13.1 \
XCBPROTO_VERSION=1.13 \
OGG_VERSION=1.3.2 \
OPENCOREAMR_VERSION=0.1.5 \
OPUS_VERSION=1.2 \
OPENJPEG_VERSION=2.1.2 \
THEORA_VERSION=1.1.1 \
VORBIS_VERSION=1.3.5 \
VPX_VERSION=1.8.0 \
WEBP_VERSION=1.0.2 \
X264_VERSION=20170226-2245-stable \
X265_VERSION=3.1.1 \
XAU_VERSION=1.0.9 \
XORG_MACROS_VERSION=1.19.2 \
XPROTO_VERSION=7.0.31 \
XVID_VERSION=1.3.4 \
LIBZMQ_VERSION=4.3.2 \
SRC=/usr/local
ARG FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
ARG FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
ARG LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
ARG OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
ARG OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
ARG THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
ARG VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
ARG XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
ARG LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
ARG LD_LIBRARY_PATH=/opt/ffmpeg/lib
ARG MAKEFLAGS="-j2"
ARG PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
ARG PREFIX=/opt/ffmpeg
ARG LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib"
RUN buildDeps="autoconf \
automake \
cmake \
curl \
bzip2 \
libexpat1-dev \
g++ \
gcc \
git \
gperf \
libtool \
make \
nasm \
perl \
pkg-config \
python \
libssl-dev \
yasm \
linux-headers-raspi2 \
libomxil-bellagio-dev \
zlib1g-dev" && \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends ${buildDeps}
## opencore-amr https://sourceforge.net/projects/opencore-amr/
RUN \
DIR=/tmp/opencore-amr && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## x264 http://www.videolan.org/developers/x264.html
RUN \
DIR=/tmp/x264 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
tar -jx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### x265 http://x265.org/
RUN \
DIR=/tmp/x265 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz | \
tar -zx && \
cd x265_${X265_VERSION}/build/linux && \
sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
export CXXFLAGS="${CXXFLAGS} -fPIC" && \
./multilib.sh && \
make -C 8bit install && \
rm -rf ${DIR}
### libogg https://www.xiph.org/ogg/
RUN \
DIR=/tmp/ogg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
echo ${OGG_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libopus https://www.opus-codec.org/
RUN \
DIR=/tmp/opus && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
echo ${OPUS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libvorbis https://xiph.org/vorbis/
RUN \
DIR=/tmp/vorbis && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
echo ${VORBIS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libtheora http://www.theora.org/
RUN \
DIR=/tmp/theora && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
echo ${THEORA_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libvpx https://www.webmproject.org/code/
RUN \
DIR=/tmp/vpx && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
--disable-debug --disable-examples --disable-docs --disable-install-bins && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libwebp https://developers.google.com/speed/webp/
RUN \
DIR=/tmp/vebp && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libmp3lame http://lame.sourceforge.net/
RUN \
DIR=/tmp/lame && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### xvid https://www.xvid.com/
RUN \
DIR=/tmp/xvid && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
echo ${XVID_SHA256SUM} | sha256sum --check && \
tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
cd xvidcore/build/generic && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### fdk-aac https://github.com/mstorsjo/fdk-aac
RUN \
DIR=/tmp/fdk-aac && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## openjpeg https://github.com/uclouvain/openjpeg
RUN \
DIR=/tmp/openjpeg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
export CFLAGS="${CFLAGS} -DPNG_ARM_NEON_OPT=0" && \
cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## freetype https://www.freetype.org/
RUN \
DIR=/tmp/freetype && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## libvstab https://github.com/georgmartius/vid.stab
RUN \
DIR=/tmp/vid.stab && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## fridibi https://www.fribidi.org/
RUN \
DIR=/tmp/fribidi && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
./bootstrap --no-config --auto && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j1 && \
make -j $(nproc) install && \
rm -rf ${DIR}
## kvazaar https://github.com/ultravideo/kvazaar
RUN \
DIR=/tmp/kvazaar && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/aom && \
git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
cd ${DIR} ; \
rm -rf CMakeCache.txt CMakeFiles ; \
mkdir -p ./aom_build ; \
cd ./aom_build ; \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
make ; \
make install ; \
rm -rf ${DIR}
## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
RUN \
DIR=/tmp/xorg-macros && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/xproto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libXau && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libpthread-stubs && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb-proto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## libzmq https://github.com/zeromq/libzmq/
RUN \
DIR=/tmp/libzmq && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
make check && \
make -j $(nproc) install && \
rm -rf ${DIR}
## ffmpeg https://ffmpeg.org/
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
./configure \
--disable-debug \
--disable-doc \
--disable-ffplay \
--enable-shared \
--enable-avresample \
--enable-libopencore-amrnb \
--enable-libopencore-amrwb \
--enable-gpl \
--enable-libfreetype \
--enable-libvidstab \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libwebp \
--enable-libxcb \
--enable-libx265 \
--enable-libxvid \
--enable-libx264 \
--enable-nonfree \
--enable-openssl \
--enable-libfdk_aac \
--enable-postproc \
--enable-small \
--enable-version3 \
--enable-libzmq \
--extra-libs=-ldl \
--prefix="${PREFIX}" \
--enable-libopenjpeg \
--enable-libkvazaar \
--enable-libaom \
--extra-libs=-lpthread \
# --enable-omx \
# --enable-omx-rpi \
# --enable-mmal \
--enable-v4l2_m2m \
--enable-neon \
--extra-cflags="-I${PREFIX}/include" \
--extra-ldflags="-L${PREFIX}/lib" && \
make -j $(nproc) && \
make -j $(nproc) install && \
make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
make distclean && \
hash -r && \
cd tools && \
make qt-faststart && cp qt-faststart ${PREFIX}/bin/
## cleanup
RUN \
ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
cp ${PREFIX}/bin/* /usr/local/bin/ && \
cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
mkdir -p /usr/local/lib/pkgconfig && \
for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
done
FROM base AS release
ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
CMD ["--help"]
ENTRYPOINT ["ffmpeg"]
COPY --from=build /usr/local /usr/local/
# Run ffmpeg with -c:v h264_v4l2m2m to enable HW accell for decoding on raspberry pi4 64-bit
-468
View File
@@ -1,468 +0,0 @@
# inspired by:
# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
# https://github.com/jrottenberg/ffmpeg/pull/158/files
# https://github.com/jrottenberg/ffmpeg/pull/239
FROM ubuntu:20.04 AS base
WORKDIR /tmp/workdir
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
apt-get autoremove -y && \
apt-get clean -y
FROM base as build
ENV FFMPEG_VERSION=4.3.1 \
AOM_VERSION=v1.0.0 \
FDKAAC_VERSION=0.1.5 \
FREETYPE_VERSION=2.5.5 \
FRIBIDI_VERSION=0.19.7 \
KVAZAAR_VERSION=1.2.0 \
LAME_VERSION=3.100 \
LIBPTHREAD_STUBS_VERSION=0.4 \
LIBVIDSTAB_VERSION=1.1.0 \
LIBXCB_VERSION=1.13.1 \
XCBPROTO_VERSION=1.13 \
OGG_VERSION=1.3.2 \
OPENCOREAMR_VERSION=0.1.5 \
OPUS_VERSION=1.2 \
OPENJPEG_VERSION=2.1.2 \
THEORA_VERSION=1.1.1 \
VORBIS_VERSION=1.3.5 \
VPX_VERSION=1.8.0 \
WEBP_VERSION=1.0.2 \
X264_VERSION=20170226-2245-stable \
X265_VERSION=3.1.1 \
XAU_VERSION=1.0.9 \
XORG_MACROS_VERSION=1.19.2 \
XPROTO_VERSION=7.0.31 \
XVID_VERSION=1.3.4 \
LIBZMQ_VERSION=4.3.2 \
SRC=/usr/local
ARG FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
ARG FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
ARG LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
ARG OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
ARG OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
ARG THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
ARG VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
ARG XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
ARG LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
ARG LD_LIBRARY_PATH=/opt/ffmpeg/lib
ARG MAKEFLAGS="-j2"
ARG PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
ARG PREFIX=/opt/ffmpeg
ARG LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib"
RUN buildDeps="autoconf \
automake \
cmake \
curl \
bzip2 \
libexpat1-dev \
g++ \
gcc \
git \
gperf \
libtool \
make \
nasm \
perl \
pkg-config \
python \
libssl-dev \
yasm \
libva-dev \
libmfx-dev \
zlib1g-dev" && \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends ${buildDeps}
## opencore-amr https://sourceforge.net/projects/opencore-amr/
RUN \
DIR=/tmp/opencore-amr && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## x264 http://www.videolan.org/developers/x264.html
RUN \
DIR=/tmp/x264 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
tar -jx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
make && \
make install && \
rm -rf ${DIR}
### x265 http://x265.org/
RUN \
DIR=/tmp/x265 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz | \
tar -zx && \
cd x265_${X265_VERSION}/build/linux && \
sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
./multilib.sh && \
make -C 8bit install && \
rm -rf ${DIR}
### libogg https://www.xiph.org/ogg/
RUN \
DIR=/tmp/ogg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
echo ${OGG_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libopus https://www.opus-codec.org/
RUN \
DIR=/tmp/opus && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
echo ${OPUS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvorbis https://xiph.org/vorbis/
RUN \
DIR=/tmp/vorbis && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
echo ${VORBIS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libtheora http://www.theora.org/
RUN \
DIR=/tmp/theora && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
echo ${THEORA_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvpx https://www.webmproject.org/code/
RUN \
DIR=/tmp/vpx && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
--disable-debug --disable-examples --disable-docs --disable-install-bins && \
make && \
make install && \
rm -rf ${DIR}
### libwebp https://developers.google.com/speed/webp/
RUN \
DIR=/tmp/vebp && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libmp3lame http://lame.sourceforge.net/
RUN \
DIR=/tmp/lame && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
make && \
make install && \
rm -rf ${DIR}
### xvid https://www.xvid.com/
RUN \
DIR=/tmp/xvid && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
echo ${XVID_SHA256SUM} | sha256sum --check && \
tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
cd xvidcore/build/generic && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
make && \
make install && \
rm -rf ${DIR}
### fdk-aac https://github.com/mstorsjo/fdk-aac
RUN \
DIR=/tmp/fdk-aac && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
make && \
make install && \
rm -rf ${DIR}
## openjpeg https://github.com/uclouvain/openjpeg
RUN \
DIR=/tmp/openjpeg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## freetype https://www.freetype.org/
RUN \
DIR=/tmp/freetype && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libvstab https://github.com/georgmartius/vid.stab
RUN \
DIR=/tmp/vid.stab && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## fridibi https://www.fribidi.org/
RUN \
DIR=/tmp/fribidi && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
./bootstrap --no-config --auto && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j1 && \
make install && \
rm -rf ${DIR}
## kvazaar https://github.com/ultravideo/kvazaar
RUN \
DIR=/tmp/kvazaar && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/aom && \
git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
cd ${DIR} ; \
rm -rf CMakeCache.txt CMakeFiles ; \
mkdir -p ./aom_build ; \
cd ./aom_build ; \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
make ; \
make install ; \
rm -rf ${DIR}
## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
RUN \
DIR=/tmp/xorg-macros && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/xproto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libXau && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libpthread-stubs && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb-proto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libzmq https://github.com/zeromq/libzmq/
RUN \
DIR=/tmp/libzmq && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make check && \
make install && \
rm -rf ${DIR}
## ffmpeg https://ffmpeg.org/
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
./configure \
--disable-debug \
--disable-doc \
--disable-ffplay \
--enable-shared \
--enable-avresample \
--enable-libopencore-amrnb \
--enable-libopencore-amrwb \
--enable-gpl \
--enable-libfreetype \
--enable-libvidstab \
--enable-libmfx \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libwebp \
--enable-libxcb \
--enable-libx265 \
--enable-libxvid \
--enable-libx264 \
--enable-nonfree \
--enable-openssl \
--enable-libfdk_aac \
--enable-postproc \
--enable-small \
--enable-version3 \
--enable-libzmq \
--extra-libs=-ldl \
--prefix="${PREFIX}" \
--enable-libopenjpeg \
--enable-libkvazaar \
--enable-libaom \
--extra-libs=-lpthread \
--enable-vaapi \
--extra-cflags="-I${PREFIX}/include" \
--extra-ldflags="-L${PREFIX}/lib" && \
make && \
make install && \
make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
make distclean && \
hash -r && \
cd tools && \
make qt-faststart && cp qt-faststart ${PREFIX}/bin/
## cleanup
RUN \
ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
cp ${PREFIX}/bin/* /usr/local/bin/ && \
cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
mkdir -p /usr/local/lib/pkgconfig && \
for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
done
FROM base AS release
ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
CMD ["--help"]
ENTRYPOINT ["ffmpeg"]
COPY --from=build /usr/local /usr/local/
RUN \
apt-get update -y && \
apt-get install -y --no-install-recommends libva-drm2 libva2 i965-va-driver mesa-va-drivers && \
rm -rf /var/lib/apt/lists/*
-549
View File
@@ -1,549 +0,0 @@
# inspired by https://github.com/jrottenberg/ffmpeg/blob/master/docker-images/4.3/ubuntu1804/Dockerfile
# ffmpeg - http://ffmpeg.org/download.html
#
# From https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu
#
# https://hub.docker.com/r/jrottenberg/ffmpeg/
#
#
FROM nvidia/cuda:11.1-devel-ubuntu20.04 AS devel-base
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /tmp/workdir
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
apt-get autoremove -y && \
apt-get clean -y
FROM nvidia/cuda:11.1-runtime-ubuntu20.04 AS runtime-base
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /tmp/workdir
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 libxcb-shape0-dev && \
apt-get autoremove -y && \
apt-get clean -y
FROM devel-base as build
ENV NVIDIA_HEADERS_VERSION=9.1.23.1
ENV FFMPEG_VERSION=4.3.1 \
AOM_VERSION=v1.0.0 \
FDKAAC_VERSION=0.1.5 \
FREETYPE_VERSION=2.5.5 \
FRIBIDI_VERSION=0.19.7 \
KVAZAAR_VERSION=1.2.0 \
LAME_VERSION=3.100 \
LIBPTHREAD_STUBS_VERSION=0.4 \
LIBVIDSTAB_VERSION=1.1.0 \
LIBXCB_VERSION=1.13.1 \
XCBPROTO_VERSION=1.13 \
OGG_VERSION=1.3.2 \
OPENCOREAMR_VERSION=0.1.5 \
OPUS_VERSION=1.2 \
OPENJPEG_VERSION=2.1.2 \
THEORA_VERSION=1.1.1 \
VORBIS_VERSION=1.3.5 \
VPX_VERSION=1.8.0 \
WEBP_VERSION=1.0.2 \
X264_VERSION=20170226-2245-stable \
X265_VERSION=3.1.1 \
XAU_VERSION=1.0.9 \
XORG_MACROS_VERSION=1.19.2 \
XPROTO_VERSION=7.0.31 \
XVID_VERSION=1.3.4 \
LIBZMQ_VERSION=4.3.2 \
LIBSRT_VERSION=1.4.1 \
LIBARIBB24_VERSION=1.0.3 \
LIBPNG_VERSION=1.6.9 \
SRC=/usr/local
ARG FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
ARG FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
ARG LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
ARG OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
ARG OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
ARG THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
ARG VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
ARG XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
ARG LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
ARG LIBARIBB24_SHA256SUM="f61560738926e57f9173510389634d8c06cabedfa857db4b28fb7704707ff128 v1.0.3.tar.gz"
ARG LD_LIBRARY_PATH=/opt/ffmpeg/lib
ARG MAKEFLAGS="-j2"
ARG PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
ARG PREFIX=/opt/ffmpeg
ARG LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64"
RUN buildDeps="autoconf \
automake \
cmake \
curl \
bzip2 \
libexpat1-dev \
g++ \
gcc \
git \
gperf \
libtool \
make \
nasm \
perl \
pkg-config \
python \
libssl-dev \
yasm \
zlib1g-dev" && \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends ${buildDeps}
RUN \
DIR=/tmp/nv-codec-headers && \
git clone https://github.com/FFmpeg/nv-codec-headers ${DIR} && \
cd ${DIR} && \
git checkout n${NVIDIA_HEADERS_VERSION} && \
make PREFIX="${PREFIX}" && \
make install PREFIX="${PREFIX}" && \
rm -rf ${DIR}
## opencore-amr https://sourceforge.net/projects/opencore-amr/
RUN \
DIR=/tmp/opencore-amr && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## x264 http://www.videolan.org/developers/x264.html
RUN \
DIR=/tmp/x264 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
tar -jx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
make && \
make install && \
rm -rf ${DIR}
### x265 http://x265.org/
RUN \
DIR=/tmp/x265 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz | \
tar -zx && \
cd x265_${X265_VERSION}/build/linux && \
sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
./multilib.sh && \
make -C 8bit install && \
rm -rf ${DIR}
### libogg https://www.xiph.org/ogg/
RUN \
DIR=/tmp/ogg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
echo ${OGG_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libopus https://www.opus-codec.org/
RUN \
DIR=/tmp/opus && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
echo ${OPUS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvorbis https://xiph.org/vorbis/
RUN \
DIR=/tmp/vorbis && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
echo ${VORBIS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libtheora http://www.theora.org/
RUN \
DIR=/tmp/theora && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
echo ${THEORA_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvpx https://www.webmproject.org/code/
RUN \
DIR=/tmp/vpx && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
--disable-debug --disable-examples --disable-docs --disable-install-bins && \
make && \
make install && \
rm -rf ${DIR}
### libwebp https://developers.google.com/speed/webp/
RUN \
DIR=/tmp/vebp && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libmp3lame http://lame.sourceforge.net/
RUN \
DIR=/tmp/lame && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
make && \
make install && \
rm -rf ${DIR}
### xvid https://www.xvid.com/
RUN \
DIR=/tmp/xvid && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
echo ${XVID_SHA256SUM} | sha256sum --check && \
tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
cd xvidcore/build/generic && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
make && \
make install && \
rm -rf ${DIR}
### fdk-aac https://github.com/mstorsjo/fdk-aac
RUN \
DIR=/tmp/fdk-aac && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
make && \
make install && \
rm -rf ${DIR}
## openjpeg https://github.com/uclouvain/openjpeg
RUN \
DIR=/tmp/openjpeg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## freetype https://www.freetype.org/
RUN \
DIR=/tmp/freetype && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libvstab https://github.com/georgmartius/vid.stab
RUN \
DIR=/tmp/vid.stab && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## fridibi https://www.fribidi.org/
RUN \
DIR=/tmp/fribidi && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
./bootstrap --no-config --auto && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j1 && \
make install && \
rm -rf ${DIR}
## kvazaar https://github.com/ultravideo/kvazaar
RUN \
DIR=/tmp/kvazaar && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/aom && \
git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
cd ${DIR} ; \
rm -rf CMakeCache.txt CMakeFiles ; \
mkdir -p ./aom_build ; \
cd ./aom_build ; \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
make ; \
make install ; \
rm -rf ${DIR}
## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
RUN \
DIR=/tmp/xorg-macros && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/xproto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libXau && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libpthread-stubs && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb-proto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libzmq https://github.com/zeromq/libzmq/
RUN \
DIR=/tmp/libzmq && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make check && \
make install && \
rm -rf ${DIR}
## libsrt https://github.com/Haivision/srt
RUN \
DIR=/tmp/srt && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/Haivision/srt/archive/v${LIBSRT_VERSION}.tar.gz && \
tar -xz --strip-components=1 -f v${LIBSRT_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## libpng
RUN \
DIR=/tmp/png && \
mkdir -p ${DIR} && \
cd ${DIR} && \
git clone https://git.code.sf.net/p/libpng/code ${DIR} -b v${LIBPNG_VERSION} --depth 1 && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make check && \
make install && \
rm -rf ${DIR}
## libaribb24
RUN \
DIR=/tmp/b24 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/nkoriyama/aribb24/archive/v${LIBARIBB24_VERSION}.tar.gz && \
echo ${LIBARIBB24_SHA256SUM} | sha256sum --check && \
tar -xz --strip-components=1 -f v${LIBARIBB24_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure CFLAGS="-I${PREFIX}/include -fPIC" --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
## ffmpeg https://ffmpeg.org/
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
./configure \
--disable-debug \
--disable-doc \
--disable-ffplay \
--enable-shared \
--enable-avresample \
--enable-libopencore-amrnb \
--enable-libopencore-amrwb \
--enable-gpl \
--enable-libfreetype \
--enable-libvidstab \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libwebp \
--enable-libxcb \
--enable-libx265 \
--enable-libxvid \
--enable-libx264 \
--enable-nonfree \
--enable-openssl \
--enable-libfdk_aac \
--enable-postproc \
--enable-small \
--enable-version3 \
--enable-libzmq \
--extra-libs=-ldl \
--prefix="${PREFIX}" \
--enable-libopenjpeg \
--enable-libkvazaar \
--enable-libaom \
--extra-libs=-lpthread \
--enable-libsrt \
--enable-libaribb24 \
--enable-nvenc \
--enable-cuda \
--enable-cuvid \
--enable-libnpp \
--extra-cflags="-I${PREFIX}/include -I${PREFIX}/include/ffnvcodec -I/usr/local/cuda/include/" \
--extra-ldflags="-L${PREFIX}/lib -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib32/" && \
make && \
make install && \
make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
make distclean && \
hash -r && \
cd tools && \
make qt-faststart && cp qt-faststart ${PREFIX}/bin/
## cleanup
RUN \
LD_LIBRARY_PATH="${PREFIX}/lib:${PREFIX}/lib64:${LD_LIBRARY_PATH}" ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
cp ${PREFIX}/bin/* /usr/local/bin/ && \
cp -r ${PREFIX}/share/* /usr/local/share/ && \
LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
mkdir -p /usr/local/lib/pkgconfig && \
for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
sed "s:${PREFIX}:/usr/local:g; s:/lib64:/lib:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
done
FROM runtime-base AS release
ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64
CMD ["--help"]
ENTRYPOINT ["ffmpeg"]
# copy only needed files, without copying nvidia dev files
COPY --from=build /usr/local/bin /usr/local/bin/
COPY --from=build /usr/local/share /usr/local/share/
COPY --from=build /usr/local/lib /usr/local/lib/
COPY --from=build /usr/local/include /usr/local/include/
# Let's make sure the app built correctly
# Convenient to verify on https://hub.docker.com/r/jrottenberg/ffmpeg/builds/ console output
-490
View File
@@ -1,490 +0,0 @@
# inspired by:
# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
# https://github.com/mmastrac/ffmpeg-omx-rpi-docker/blob/master/Dockerfile
# https://github.com/jrottenberg/ffmpeg/pull/158/files
# https://github.com/jrottenberg/ffmpeg/pull/239
FROM ubuntu:20.04 AS base
WORKDIR /tmp/workdir
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
apt-get autoremove -y && \
apt-get clean -y
FROM base as build
ENV FFMPEG_VERSION=4.3.1 \
AOM_VERSION=v1.0.0 \
FDKAAC_VERSION=0.1.5 \
FREETYPE_VERSION=2.5.5 \
FRIBIDI_VERSION=0.19.7 \
KVAZAAR_VERSION=1.2.0 \
LAME_VERSION=3.100 \
LIBPTHREAD_STUBS_VERSION=0.4 \
LIBVIDSTAB_VERSION=1.1.0 \
LIBXCB_VERSION=1.13.1 \
XCBPROTO_VERSION=1.13 \
OGG_VERSION=1.3.2 \
OPENCOREAMR_VERSION=0.1.5 \
OPUS_VERSION=1.2 \
OPENJPEG_VERSION=2.1.2 \
THEORA_VERSION=1.1.1 \
VORBIS_VERSION=1.3.5 \
VPX_VERSION=1.8.0 \
WEBP_VERSION=1.0.2 \
X264_VERSION=20170226-2245-stable \
X265_VERSION=3.1.1 \
XAU_VERSION=1.0.9 \
XORG_MACROS_VERSION=1.19.2 \
XPROTO_VERSION=7.0.31 \
XVID_VERSION=1.3.4 \
LIBZMQ_VERSION=4.3.3 \
SRC=/usr/local
ARG FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
ARG FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
ARG LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
ARG OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
ARG OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
ARG THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
ARG VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
ARG XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
ARG LD_LIBRARY_PATH=/opt/ffmpeg/lib
ARG MAKEFLAGS="-j2"
ARG PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig:/opt/vc/lib/pkgconfig"
ARG PREFIX=/opt/ffmpeg
ARG LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib:/opt/vc/lib"
RUN buildDeps="autoconf \
automake \
cmake \
curl \
bzip2 \
libexpat1-dev \
g++ \
gcc \
git \
gperf \
libtool \
make \
nasm \
perl \
pkg-config \
python \
sudo \
libssl-dev \
yasm \
linux-headers-raspi2 \
libomxil-bellagio-dev \
libx265-dev \
libaom-dev \
zlib1g-dev" && \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends ${buildDeps}
## opencore-amr https://sourceforge.net/projects/opencore-amr/
RUN \
DIR=/tmp/opencore-amr && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## x264 http://www.videolan.org/developers/x264.html
RUN \
DIR=/tmp/x264 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
tar -jx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
# ### x265 http://x265.org/
# RUN \
# DIR=/tmp/x265 && \
# mkdir -p ${DIR} && \
# cd ${DIR} && \
# curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz | \
# tar -zx && \
# cd x265_${X265_VERSION}/build/linux && \
# sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
# sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
# # export CXXFLAGS="${CXXFLAGS} -fPIC" && \
# ./multilib.sh && \
# make -C 8bit install && \
# rm -rf ${DIR}
### libogg https://www.xiph.org/ogg/
RUN \
DIR=/tmp/ogg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
echo ${OGG_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libopus https://www.opus-codec.org/
RUN \
DIR=/tmp/opus && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
echo ${OPUS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libvorbis https://xiph.org/vorbis/
RUN \
DIR=/tmp/vorbis && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
echo ${VORBIS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libtheora http://www.theora.org/
RUN \
DIR=/tmp/theora && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
echo ${THEORA_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libvpx https://www.webmproject.org/code/
RUN \
DIR=/tmp/vpx && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
--disable-debug --disable-examples --disable-docs --disable-install-bins && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libwebp https://developers.google.com/speed/webp/
RUN \
DIR=/tmp/vebp && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### libmp3lame http://lame.sourceforge.net/
RUN \
DIR=/tmp/lame && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### xvid https://www.xvid.com/
RUN \
DIR=/tmp/xvid && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
echo ${XVID_SHA256SUM} | sha256sum --check && \
tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
cd xvidcore/build/generic && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
### fdk-aac https://github.com/mstorsjo/fdk-aac
RUN \
DIR=/tmp/fdk-aac && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## openjpeg https://github.com/uclouvain/openjpeg
RUN \
DIR=/tmp/openjpeg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
export CFLAGS="${CFLAGS} -DPNG_ARM_NEON_OPT=0" && \
cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## freetype https://www.freetype.org/
RUN \
DIR=/tmp/freetype && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## libvstab https://github.com/georgmartius/vid.stab
RUN \
DIR=/tmp/vid.stab && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## fridibi https://www.fribidi.org/
RUN \
DIR=/tmp/fribidi && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
./bootstrap --no-config --auto && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j1 && \
make -j $(nproc) install && \
rm -rf ${DIR}
## kvazaar https://github.com/ultravideo/kvazaar
RUN \
DIR=/tmp/kvazaar && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
# RUN \
# DIR=/tmp/aom && \
# git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
# cd ${DIR} ; \
# rm -rf CMakeCache.txt CMakeFiles ; \
# mkdir -p ./aom_build ; \
# cd ./aom_build ; \
# cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
# make ; \
# make install ; \
# rm -rf ${DIR}
## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
RUN \
DIR=/tmp/xorg-macros && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/xproto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libXau && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libpthread-stubs && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb-proto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j $(nproc) && \
make -j $(nproc) install && \
rm -rf ${DIR}
## libzmq https://github.com/zeromq/libzmq/
RUN \
DIR=/tmp/libzmq && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make -j $(nproc) && \
# make check && \
make -j $(nproc) install && \
rm -rf ${DIR}
## userland https://github.com/raspberrypi/userland
RUN \
DIR=/tmp/userland && \
mkdir -p ${DIR} && \
cd ${DIR} && \
git clone --depth 1 https://github.com/raspberrypi/userland.git . && \
./buildme && \
rm -rf ${DIR}
## ffmpeg https://ffmpeg.org/
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
./configure \
--disable-debug \
--disable-doc \
--disable-ffplay \
--enable-shared \
--enable-avresample \
--enable-libopencore-amrnb \
--enable-libopencore-amrwb \
--enable-gpl \
--enable-libfreetype \
--enable-libvidstab \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libwebp \
--enable-libxcb \
--enable-libx265 \
--enable-libxvid \
--enable-libx264 \
--enable-nonfree \
--enable-openssl \
--enable-libfdk_aac \
--enable-postproc \
--enable-small \
--enable-version3 \
--enable-libzmq \
--extra-libs=-ldl \
--prefix="${PREFIX}" \
--enable-libopenjpeg \
--enable-libkvazaar \
--enable-libaom \
--extra-libs=-lpthread \
--enable-omx \
--enable-omx-rpi \
--enable-mmal \
--enable-v4l2_m2m \
--enable-neon \
--extra-cflags="-I${PREFIX}/include" \
--extra-ldflags="-L${PREFIX}/lib" && \
make -j $(nproc) && \
make -j $(nproc) install && \
make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
make distclean && \
hash -r && \
cd tools && \
make qt-faststart && cp qt-faststart ${PREFIX}/bin/
## cleanup
RUN \
ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
# copy userland lib too
ldd ${PREFIX}/bin/ffmpeg | grep opt/vc | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
cp ${PREFIX}/bin/* /usr/local/bin/ && \
cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
mkdir -p /usr/local/lib/pkgconfig && \
for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
done
FROM base AS release
ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
RUN \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends libx265-dev libaom-dev && \
apt-get autoremove -y && \
apt-get clean -y
CMD ["--help"]
ENTRYPOINT ["ffmpeg"]
COPY --from=build /usr/local /usr/local/
-9
View File
@@ -1,9 +0,0 @@
ARG NODE_VERSION=14.0
FROM node:${NODE_VERSION}
WORKDIR /opt/frigate
COPY . .
RUN npm install && npm run build
-42
View File
@@ -1,42 +0,0 @@
FROM ubuntu:20.04 as build
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -qq update \
&& apt-get -qq install -y \
python3 \
python3-dev \
wget \
# opencv dependencies
build-essential cmake git pkg-config libgtk-3-dev \
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
gfortran openexr libatlas-base-dev libssl-dev\
libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
# scipy dependencies
gcc gfortran libopenblas-dev liblapack-dev cython
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip==20.2.4"
RUN pip3 install scikit-build
RUN pip3 wheel --wheel-dir=/wheels \
opencv-python-headless \
numpy \
imutils \
scipy \
psutil \
Flask \
paho-mqtt \
PyYAML \
matplotlib \
click \
setproctitle \
peewee \
gevent
FROM scratch
COPY --from=build /wheels /wheels
-20
View File
@@ -1,20 +0,0 @@
# Dependencies
/node_modules
# Production
/build
# Generated files
.docusaurus
.cache-loader
# Misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*
-33
View File
@@ -1,33 +0,0 @@
# Website
This website is built using [Docusaurus 2](https://v2.docusaurus.io/), a modern static website generator.
## Installation
```console
yarn install
```
## Local Development
```console
yarn start
```
This command starts a local development server and open up a browser window. Most changes are reflected live without having to restart the server.
## Build
```console
yarn build
```
This command generates static content into the `build` directory and can be served using any static contents hosting service.
## Deployment
```console
GIT_USER=<Your GitHub username> USE_SSH=true yarn deploy
```
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.
-3
View File
@@ -1,3 +0,0 @@
module.exports = {
presets: [require.resolve('@docusaurus/core/lib/babel/preset')],
};
-139
View File
@@ -1,139 +0,0 @@
---
id: advanced
title: Advanced
sidebar_label: Advanced
---
## Advanced configuration
### `motion`
Global motion detection config. These may also be defined at the camera level.
```yaml
motion:
# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
# The value should be between 1 and 255.
threshold: 25
# Optional: Minimum size in pixels in the resized motion image that counts as motion
# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will make motion detection more sensitive to smaller
# moving objects.
contour_area: 100
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
# Too low and a fast moving person wont be detected as motion.
delta_alpha: 0.2
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
# Low values will cause things like moving shadows to be detected as motion for longer.
# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
frame_alpha: 0.2
# Optional: Height of the resized motion frame (default: 1/6th of the original frame height)
# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense of higher CPU usage.
# Lower values result in less CPU, but small changes may not register as motion.
frame_height: 180
```
### `detect`
Global object detection settings. These may also be defined at the camera level.
```yaml
detect:
# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
max_disappeared: 25
```
### `logger`
Change the default log level for troubleshooting purposes.
```yaml
logger:
# Optional: default log level (default: shown below)
default: info
# Optional: module by module log level configuration
logs:
frigate.mqtt: error
```
Available log levels are: `debug`, `info`, `warning`, `error`, `critical`
Examples of available modules are:
- `frigate.app`
- `frigate.mqtt`
- `frigate.edgetpu`
- `frigate.zeroconf`
- `detector.<detector_name>`
- `watchdog.<camera_name>`
- `ffmpeg.<camera_name>.<sorted_roles>` NOTE: All FFmpeg logs are sent as `error` level.
### `environment_vars`
This section can be used to set environment variables for those unable to modify the environment of the container (ie. within Hass.io)
```yaml
environment_vars:
EXAMPLE_VAR: value
```
### `database`
Event and clip information is managed in a sqlite database at `/media/frigate/clips/frigate.db`. If that database is deleted, clips will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within HomeAssistant.
If you are storing your clips on a network share (SMB, NFS, etc), you may get a `database is locked` error message on startup. You can customize the location of the database in the config if necessary.
This may need to be in a custom location if network storage is used for clips.
```yaml
database:
path: /media/frigate/clips/frigate.db
```
### `detectors`
```yaml
detectors:
# Required: name of the detector
coral:
# Required: type of the detector
# Valid values are 'edgetpu' (requires device property below) and 'cpu'. type: edgetpu
# Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
device: usb
# Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
# This value is only used for CPU types
num_threads: 3
```
### `model`
```yaml
model:
# Required: height of the trained model
height: 320
# Required: width of the trained model
width: 320
```
## Custom Models
Models for both CPU and EdgeTPU (Coral) are bundled in the image. You can use your own models with volume mounts:
- CPU Model: `/cpu_model.tflite`
- EdgeTPU Model: `/edgetpu_model.tflite`
- Labels: `/labelmap.txt`
You also need to update the model width/height in the config if they differ from the defaults.
### Customizing the Labelmap
The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. You must retain the same number of labels, but you can change the names. To change:
- Download the [COCO labelmap](https://dl.google.com/coral/canned_models/coco_labels.txt)
- Modify the label names as desired. For example, change `7 truck` to `7 car`
- Mount the new file at `/labelmap.txt` in the container with an additional volume
```
-v ./config/labelmap.txt:/labelmap.txt
```
-450
View File
@@ -1,450 +0,0 @@
---
id: cameras
title: Cameras
---
## Setting Up Camera Inputs
Up to 4 inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create clips from a higher resolution stream, or vice versa.
Each role can only be assigned to one input per camera. The options for roles are as follows:
| Role | Description |
| -------- | ------------------------------------------------------------------------------------ |
| `detect` | Main feed for object detection |
| `clips` | Clips of events from objects detected in the `detect` feed. [docs](#recording-clips) |
| `record` | Saves 60 second segments of the video feed. [docs](#247-recordings) |
| `rtmp` | Broadcast as an RTMP feed for other services to consume. [docs](#rtmp-streams) |
### Example
```yaml
mqtt:
host: mqtt.server.com
cameras:
back:
ffmpeg:
inputs:
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
roles:
- detect
- rtmp
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/live
roles:
- clips
- record
width: 1280
height: 720
fps: 5
```
## Masks & Zones
### Masks
Masks are used to ignore initial detection in areas of your camera's field of view.
There are two types of masks available:
- **Motion masks**: Motion masks are used to prevent unwanted types of motion from triggering detection. Try watching the video feed with `Motion Boxes` enabled to see what may be regularly detected as motion. For example, you want to mask out your timestamp, the sky, rooftops, etc. Keep in mind that this mask only prevents motion from being detected and does not prevent objects from being detected if object detection was started due to motion in unmasked areas. Motion is also used during object tracking to refine the object detection area in the next frame. Over masking will make it more difficult for objects to be tracked. To see this effect, create a mask, and then watch the video feed with `Motion Boxes` enabled again.
- **Object filter masks**: Object filter masks are used to filter out false positives for a given object type. These should be used to filter any areas where it is not possible for an object of that type to be. The bottom center of the detected object's bounding box is evaluated against the mask. If it is in a masked area, it is assumed to be a false positive. For example, you may want to mask out rooftops, walls, the sky, treetops for people. For cars, masking locations other than the street or your driveway will tell frigate that anything in your yard is a false positive.
To create a poly mask:
1. Visit the [web UI](/usage/web)
1. Click the camera you wish to create a mask for
1. Click "Mask & Zone creator"
1. Click "Add" on the type of mask or zone you would like to create
1. Click on the camera's latest image to create a masked area. The yaml representation will be updated in real-time
1. When you've finished creating your mask, click "Copy" and paste the contents into your `config.yaml` file and restart Frigate
Example of a finished row corresponding to the below example image:
```yaml
motion:
mask: '0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432'
```
![poly](/img/example-mask-poly.png)
```yaml
# Optional: camera level motion config
motion:
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
mask: 0,900,1080,900,1080,1920,0,1920
```
### Zones
Zones allow you to define a specific area of the frame and apply additional filters for object types so you can determine whether or not an object is within a particular area. Zones cannot have the same name as a camera. If desired, a single zone can include multiple cameras if you have multiple cameras covering the same area by configuring zones with the same name for each camera.
During testing, `draw_zones` should be set in the config to draw the zone on the frames so you can adjust as needed. The zone line will increase in thickness when any object enters the zone.
To create a zone, follow the same steps above for a "Motion mask", but use the section of the web UI for creating a zone instead.
```yaml
# Optional: zones for this camera
zones:
# Required: name of the zone
# NOTE: This must be different than any camera names, but can match with another zone on another
# camera.
front_steps:
# Required: List of x,y coordinates to define the polygon of the zone.
# NOTE: Coordinates can be generated at https://www.image-map.net/
coordinates: 545,1077,747,939,788,805
# Optional: Zone level object filters.
# NOTE: The global and camera filters are applied upstream.
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.7
```
## Objects
```yaml
# Optional: Camera level object filters config.
objects:
track:
- person
- car
# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object.
# NOTE: This mask is COMBINED with the object type specific mask below
mask: 0,0,1000,0,1000,200,0,200
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0,0,1000,0,1000,200,0,200
```
## Clips
Frigate can save video clips without any CPU overhead for encoding by simply copying the stream directly with FFmpeg. It leverages FFmpeg's segment functionality to maintain a cache of video for each camera. The cache files are written to disk at `/tmp/cache` and do not introduce memory overhead. When an object is being tracked, it will extend the cache to ensure it can assemble a clip when the event ends. Once the event ends, it again uses FFmpeg to assemble a clip by combining the video clips without any encoding by the CPU. Assembled clips are are saved to `/media/frigate/clips`. Clips are retained according to the retention settings defined on the config for each object type.
:::caution
Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
:::
```yaml
clips:
# Required: enables clips for the camera (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: Number of seconds before the event to include in the clips (default: shown below)
pre_capture: 5
# Optional: Number of seconds after the event to include in the clips (default: shown below)
post_capture: 5
# Optional: Objects to save clips for. (default: all tracked objects)
objects:
- person
# Optional: Restrict clips to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
## Snapshots
Frigate can save a snapshot image to `/media/frigate/clips` for each event named as `<camera>-<id>.jpg`.
```yaml
# Optional: Configuration for the jpg snapshots written to the clips directory for each event
snapshots:
# Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: False
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
height: 175
# Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
## 24/7 Recordings
24/7 recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM/DD/HH/<camera_name>/MM.SS.mp4`. These recordings are written directly from your camera stream without re-encoding and are available in HomeAssistant's media browser. Each camera supports a configurable retention policy in the config.
:::caution
Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
:::
```yaml
# Optional: 24/7 recording configuration
record:
# Optional: Enable recording (default: global setting)
enabled: False
# Optional: Number of days to retain (default: global setting)
retain_days: 30
```
## RTMP streams
Frigate can re-stream your video feed as a RTMP feed for other applications such as HomeAssistant to utilize it at `rtmp://<frigate_host>/live/<camera_name>`. Port 1935 must be open. This allows you to use a video feed for detection in frigate and HomeAssistant live view at the same time without having to make two separate connections to the camera. The video feed is copied from the original video feed directly to avoid re-encoding. This feed does not include any annotation by Frigate.
Some video feeds are not compatible with RTMP. If you are experiencing issues, check to make sure your camera feed is h264 with AAC audio. If your camera doesn't support a compatible format for RTMP, you can use the ffmpeg args to re-encode it on the fly at the expense of increased CPU utilization.
## Full example
The following is a full example of all of the options together for a camera configuration
```yaml
cameras:
# Required: name of the camera
back:
# Required: ffmpeg settings for the camera
ffmpeg:
# Required: A list of input streams for the camera. See documentation for more information.
inputs:
# Required: the path to the stream
# NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
# Required: list of roles for this stream. valid values are: detect,record,clips,rtmp
# NOTICE: In addition to assigning the record, clips, and rtmp roles,
# they must also be enabled in the camera config.
roles:
- detect
- rtmp
# Optional: stream specific global args (default: inherit)
global_args:
# Optional: stream specific hwaccel args (default: inherit)
hwaccel_args:
# Optional: stream specific input args (default: inherit)
input_args:
# Optional: camera specific global args (default: inherit)
global_args:
# Optional: camera specific hwaccel args (default: inherit)
hwaccel_args:
# Optional: camera specific input args (default: inherit)
input_args:
# Optional: camera specific output args (default: inherit)
output_args:
# Required: width of the frame for the input with the detect role
width: 1280
# Required: height of the frame for the input with the detect role
height: 720
# Optional: desired fps for your camera for the input with the detect role
# NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
# Frigate will attempt to autodetect if not specified.
fps: 5
# Optional: camera level motion config
motion:
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
mask: 0,900,1080,900,1080,1920,0,1920
# Optional: timeout for highest scoring image before allowing it
# to be replaced by a newer image. (default: shown below)
best_image_timeout: 60
# Optional: zones for this camera
zones:
# Required: name of the zone
# NOTE: This must be different than any camera names, but can match with another zone on another
# camera.
front_steps:
# Required: List of x,y coordinates to define the polygon of the zone.
# NOTE: Coordinates can be generated at https://www.image-map.net/
coordinates: 545,1077,747,939,788,805
# Optional: Zone level object filters.
# NOTE: The global and camera filters are applied upstream.
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.7
# Optional: Camera level detect settings
detect:
# Optional: enables detection for the camera (default: True)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: True
# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
max_disappeared: 25
# Optional: save clips configuration
clips:
# Required: enables clips for the camera (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: Number of seconds before the event to include in the clips (default: shown below)
pre_capture: 5
# Optional: Number of seconds after the event to include in the clips (default: shown below)
post_capture: 5
# Optional: Objects to save clips for. (default: all tracked objects)
objects:
- person
# Optional: Restrict clips to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
# Optional: 24/7 recording configuration
record:
# Optional: Enable recording (default: global setting)
enabled: False
# Optional: Number of days to retain (default: global setting)
retain_days: 30
# Optional: RTMP re-stream configuration
rtmp:
# Required: Enable the live stream (default: True)
enabled: True
# Optional: Configuration for the jpg snapshots written to the clips directory for each event
snapshots:
# Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: False
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
height: 175
# Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
# Optional: Configuration for the jpg snapshots published via MQTT
mqtt:
# Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
# NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
# All other messages will still be published.
enabled: True
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: True
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: True
# Optional: crop the snapshot (default: shown below)
crop: True
# Optional: height to resize the snapshot to (default: shown below)
height: 270
# Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera level object filters config.
objects:
track:
- person
- car
# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object.
# NOTE: This mask is COMBINED with the object type specific mask below
mask: 0,0,1000,0,1000,200,0,200
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0,0,1000,0,1000,200,0,200
```
## Camera specific configuration
### RTMP Cameras
The input parameters need to be adjusted for RTMP cameras
```yaml
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -fflags
- nobuffer
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -use_wallclock_as_timestamps
- '1'
```
### Reolink 410/520 (possibly others)
Several users have reported success with the rtmp video from Reolink cameras.
```yaml
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -fflags
- nobuffer
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -rw_timeout
- '5000000'
- -use_wallclock_as_timestamps
- '1'
```
### Blue Iris RTSP Cameras
You will need to remove `nobuffer` flag for Blue Iris RTSP cameras
```yaml
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -rtsp_transport
- tcp
- -stimeout
- '5000000'
- -use_wallclock_as_timestamps
- '1'
```
-53
View File
@@ -1,53 +0,0 @@
---
id: detectors
title: Detectors
---
The default config will look for a USB Coral device. If you do not have a Coral, you will need to configure a CPU detector. If you have PCI or multiple Coral devices, you need to configure your detector devices in the config file. When using multiple detectors, they run in dedicated processes, but pull from a common queue of requested detections across all cameras.
Frigate supports `edgetpu` and `cpu` as detector types. The device value should be specified according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api).
**Note**: There is no support for Nvidia GPUs to perform object detection with tensorflow. It can be used for ffmpeg decoding, but not object detection.
Single USB Coral:
```yaml
detectors:
coral:
type: edgetpu
device: usb
```
Multiple USB Corals:
```yaml
detectors:
coral1:
type: edgetpu
device: usb:0
coral2:
type: edgetpu
device: usb:1
```
Mixing Corals:
```yaml
detectors:
coral_usb:
type: edgetpu
device: usb
coral_pci:
type: edgetpu
device: pci
```
CPU Detectors (not recommended):
```yaml
detectors:
cpu1:
type: cpu
cpu2:
type: cpu
```
@@ -1,19 +0,0 @@
---
id: false_positives
title: Reducing false positives
---
Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_score`, `threshold`.
For object filters in your configuration, any single detection below `min_score` will be ignored as a false positive. `threshold` is based on the median of the history of scores (padded to 3 values) for a tracked object. Consider the following frames when `min_score` is set to 0.6 and threshold is set to 0.85:
| Frame | Current Score | Score History | Computed Score | Detected Object |
| ----- | ------------- | --------------------------------- | -------------- | --------------- |
| 1 | 0.7 | 0.0, 0, 0.7 | 0.0 | No |
| 2 | 0.55 | 0.0, 0.7, 0.0 | 0.0 | No |
| 3 | 0.85 | 0.7, 0.0, 0.85 | 0.7 | No |
| 4 | 0.90 | 0.7, 0.85, 0.95, 0.90 | 0.875 | Yes |
| 5 | 0.88 | 0.7, 0.85, 0.95, 0.90, 0.88 | 0.88 | Yes |
| 6 | 0.95 | 0.7, 0.85, 0.95, 0.90, 0.88, 0.95 | 0.89 | Yes |
In frame 2, the score is below the `min_score` value, so frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.
-138
View File
@@ -1,138 +0,0 @@
---
id: index
title: Configuration
---
HassOS users can manage their configuration directly in the addon Configuration tab. For other installations, the default location for the config file is `/config/config.yml`. This can be overridden with the `CONFIG_FILE` environment variable. Camera specific ffmpeg parameters are documented [here](cameras.md).
It is recommended to start with a minimal configuration and add to it:
```yaml
mqtt:
host: mqtt.server.com
cameras:
back:
ffmpeg:
inputs:
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
roles:
- detect
- rtmp
width: 1280
height: 720
fps: 5
```
## Required
## `mqtt`
```yaml
mqtt:
# Required: host name
host: mqtt.server.com
# Optional: port (default: shown below)
port: 1883
# Optional: topic prefix (default: shown below)
# WARNING: must be unique if you are running multiple instances
topic_prefix: frigate
# Optional: client id (default: shown below)
# WARNING: must be unique if you are running multiple instances
client_id: frigate
# Optional: user
user: mqtt_user
# Optional: password
# NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}.
# eg. password: '{FRIGATE_MQTT_PASSWORD}'
password: password
# Optional: interval in seconds for publishing stats (default: shown below)
stats_interval: 60
```
## `cameras`
Each of your cameras must be configured. The following is the minimum required to register a camera in Frigate. Check the [camera configuration page](cameras.md) for a complete list of options.
```yaml
cameras:
# Name of your camera
front_door:
ffmpeg:
inputs:
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
roles:
- detect
- rtmp
width: 1280
height: 720
fps: 5
```
## Optional
### `clips`
```yaml
clips:
# Optional: Maximum length of time to retain video during long events. (default: shown below)
# NOTE: If an object is being tracked for longer than this amount of time, the cache
# will begin to expire and the resulting clip will be the last x seconds of the event.
max_seconds: 300
# Optional: size of tmpfs mount to create for cache files (default: not set)
# mount -t tmpfs -o size={tmpfs_cache_size} tmpfs /tmp/cache
# NOTICE: Addon users must have Protection mode disabled for the addon when using this setting.
# Also, if you have mounted a tmpfs volume through docker, this value should not be set in your config.
tmpfs_cache_size: 256m
# Optional: Retention settings for clips (default: shown below)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
### `ffmpeg`
```yaml
ffmpeg:
# Optional: global ffmpeg args (default: shown below)
global_args: -hide_banner -loglevel warning
# Optional: global hwaccel args (default: shown below)
# NOTE: See hardware acceleration docs for your specific device
hwaccel_args: []
# Optional: global input args (default: shown below)
input_args: -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1
# Optional: global output args
output_args:
# Optional: output args for detect streams (default: shown below)
detect: -f rawvideo -pix_fmt yuv420p
# Optional: output args for record streams (default: shown below)
record: -f segment -segment_time 60 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
# Optional: output args for clips streams (default: shown below)
clips: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
# Optional: output args for rtmp streams (default: shown below)
rtmp: -c copy -f flv
```
### `objects`
Can be overridden at the camera level
```yaml
objects:
# Optional: list of objects to track from labelmap.txt (default: shown below)
track:
- person
# Optional: filters to reduce false positives for specific object types
filters:
person:
# Optional: minimum width*height of the bounding box for the detected object (default: 0)
min_area: 5000
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
max_area: 100000
# Optional: minimum score for the object to initiate tracking (default: shown below)
min_score: 0.5
# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
threshold: 0.7
```
-110
View File
@@ -1,110 +0,0 @@
---
id: nvdec
title: nVidia hardware decoder
---
Certain nvidia cards include a hardware decoder, which can greatly improve the
performance of video decoding. In order to use NVDEC, a special build of
ffmpeg with NVDEC support is required. The special docker architecture 'amd64nvidia'
includes this support for amd64 platforms. An aarch64 for the Jetson, which
also includes NVDEC may be added in the future.
## Docker setup
### Requirements
[nVidia closed source driver](https://www.nvidia.com/en-us/drivers/unix/) required to access NVDEC.
[nvidia-docker](https://github.com/NVIDIA/nvidia-docker) required to pass NVDEC to docker.
### Setting up docker-compose
In order to pass NVDEC, the docker engine must be set to `nvidia` and the environment variables
`NVIDIA_VISIBLE_DEVICES=all` and `NVIDIA_DRIVER_CAPABILITIES=compute,utility,video` must be set.
In a docker compose file, these lines need to be set:
```
services:
frigate:
...
image: blakeblackshear/frigate:stable-amd64nvidia
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
```
### Setting up the configuration file
In your frigate config.yml, you'll need to set ffmpeg to use the hardware decoder.
The decoder you choose will depend on the input video.
A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the container to get a list)
```
V..... h263_cuvid Nvidia CUVID H263 decoder (codec h263)
V..... h264_cuvid Nvidia CUVID H264 decoder (codec h264)
V..... hevc_cuvid Nvidia CUVID HEVC decoder (codec hevc)
V..... mjpeg_cuvid Nvidia CUVID MJPEG decoder (codec mjpeg)
V..... mpeg1_cuvid Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)
V..... mpeg2_cuvid Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)
V..... mpeg4_cuvid Nvidia CUVID MPEG4 decoder (codec mpeg4)
V..... vc1_cuvid Nvidia CUVID VC1 decoder (codec vc1)
V..... vp8_cuvid Nvidia CUVID VP8 decoder (codec vp8)
V..... vp9_cuvid Nvidia CUVID VP9 decoder (codec vp9)
```
For example, for H265 video (hevc), you'll select `hevc_cuvid`. Add
`-c:v hevc_covid` to your ffmpeg input arguments:
```
ffmpeg:
input_args:
...
- -c:v
- hevc_cuvid
```
If everything is working correctly, you should see a significant improvement in performance.
Verify that hardware decoding is working by running `nvidia-smi`, which should show the ffmpeg
processes:
```
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.38 Driver Version: 455.38 CUDA Version: 11.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 166... Off | 00000000:03:00.0 Off | N/A |
| 38% 41C P2 36W / 125W | 2082MiB / 5942MiB | 5% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 12737 C ffmpeg 249MiB |
| 0 N/A N/A 12751 C ffmpeg 249MiB |
| 0 N/A N/A 12772 C ffmpeg 249MiB |
| 0 N/A N/A 12775 C ffmpeg 249MiB |
| 0 N/A N/A 12800 C ffmpeg 249MiB |
| 0 N/A N/A 12811 C ffmpeg 417MiB |
| 0 N/A N/A 12827 C ffmpeg 417MiB |
+-----------------------------------------------------------------------------+
```
To further improve performance, you can set ffmpeg to skip frames in the output,
using the fps filter:
```
output_args:
- -filter:v
- fps=fps=5
```
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.
-72
View File
@@ -1,72 +0,0 @@
---
id: optimizing
title: Optimizing performance
---
- **Google Coral**: It is strongly recommended to use a Google Coral, but Frigate will fall back to CPU in the event one is not found. Offloading TensorFlow to the Google Coral is an order of magnitude faster and will reduce your CPU load dramatically. A $60 device will outperform $2000 CPU. Frigate should work with any supported Coral device from https://coral.ai
- **Resolution**: For the `detect` input, choose a camera resolution where the smallest object you want to detect barely fits inside a 300x300px square. The model used by Frigate is trained on 300x300px images, so you will get worse performance and no improvement in accuracy by using a larger resolution since Frigate resizes the area where it is looking for objects to 300x300 anyway.
- **FPS**: 5 frames per second should be adequate. Higher frame rates will require more CPU usage without improving detections or accuracy. Reducing the frame rate on your camera will have the greatest improvement on system resources.
- **Hardware Acceleration**: Make sure you configure the `hwaccel_args` for your hardware. They provide a significant reduction in CPU usage if they are available.
- **Masks**: Masks can be used to ignore motion and reduce your idle CPU load. If you have areas with regular motion such as timestamps or trees blowing in the wind, frigate will constantly try to determine if that motion is from a person or other object you are tracking. Those detections not only increase your average CPU usage, but also clog the pipeline for detecting objects elsewhere. If you are experiencing high values for `detection_fps` when no objects of interest are in the cameras, you should use masks to tell frigate to ignore movement from trees, bushes, timestamps, or any part of the image where detections should not be wasted looking for objects.
### FFmpeg Hardware Acceleration
Frigate works on Raspberry Pi 3b/4 and x86 machines. It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible.
Raspberry Pi 3/4 (32-bit OS)
**NOTICE**: If you are using the addon, ensure you turn off `Protection mode` for hardware acceleration.
```yaml
ffmpeg:
hwaccel_args:
- -c:v
- h264_mmal
```
Raspberry Pi 3/4 (64-bit OS)
**NOTICE**: If you are using the addon, ensure you turn off `Protection mode` for hardware acceleration.
```yaml
ffmpeg:
hwaccel_args:
- -c:v
- h264_v4l2m2m
```
Intel-based CPUs (<10th Generation) via Quicksync (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
```yaml
ffmpeg:
hwaccel_args:
- -hwaccel
- vaapi
- -hwaccel_device
- /dev/dri/renderD128
- -hwaccel_output_format
- yuv420p
```
Intel-based CPUs (>=10th Generation) via Quicksync (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
```yaml
ffmpeg:
hwaccel_args:
- -hwaccel
- qsv
- -qsv_device
- /dev/dri/renderD128
```
AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
**Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
```yaml
ffmpeg:
hwaccel_args:
- -hwaccel
- vaapi
- -hwaccel_device
- /dev/dri/renderD128
```
Nvidia GPU based decoding via NVDEC is supported, but requires special configuration. See the [nvidia NVDEC documentation](/configuration/nvdec) for more details.
-29
View File
@@ -1,29 +0,0 @@
---
id: hardware
title: Recommended hardware
---
## Cameras
Cameras that output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and HomeAssistant. It is also helpful if your camera supports multiple substreams to allow different resolutions to be used for detection, streaming, clips, and recordings without re-encoding.
## Computer
| Name | Inference Speed | Notes |
| ----------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| Atomic Pi | 16ms | Good option for a dedicated low power board with a small number of cameras. Can leverage Intel QuickSync for stream decoding. |
| Intel NUC NUC7i3BNK | 8-10ms | Great performance. Can handle many cameras at 5fps depending on typical amounts of motion. |
| BMAX B2 Plus | 10-12ms | Good balance of performance and cost. Also capable of running many other services at the same time as frigate. |
| Minisforum GK41 | 9-10ms | Great alternative to a NUC with dual Gigabit NICs. Easily handles several 1080p cameras. |
| Raspberry Pi 3B (32bit) | 60ms | Can handle a small number of cameras, but the detection speeds are slow due to USB 2.0. |
| Raspberry Pi 4 (32bit) | 15-20ms | Can handle a small number of cameras. The 2GB version runs fine. |
| Raspberry Pi 4 (64bit) | 10-15ms | Can handle a small number of cameras. The 2GB version runs fine. |
## Unraid
Many people have powerful enough NAS devices or home servers to also run docker. There is a Unraid Community App.
To install make sure you have the [community app plugin here](https://forums.unraid.net/topic/38582-plug-in-community-applications/). Then search for "Frigate" in the apps section within Unraid - you can see the online store [here](https://unraid.net/community/apps?q=frigate#r)
| Name | Inference Speed | Notes |
| ----------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| [M2 Coral Edge TPU](http://coral.ai) | 6.2ms | Little complicated to get installed, as needs drivers on the host OS, [info here](https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/?do=findComment&comment=945776) |
-13
View File
@@ -1,13 +0,0 @@
---
id: how-it-works
title: How Frigate Works
sidebar_label: How it works
---
Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary
![Diagram](/img/diagram.png)
1. Look for Motion
2. Calculate Detection Regions
3. Run Object Detection
-25
View File
@@ -1,25 +0,0 @@
---
id: index
title: Frigate
sidebar_label: Features
slug: /
---
A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
- Tight integration with HomeAssistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- 24/7 recording
- Re-streaming via RTMP to reduce the number of connections to your camera
## Screenshots
![Media Browser](/img/media_browser.png)
![Notification](/img/notification.png)
-123
View File
@@ -1,123 +0,0 @@
---
id: installation
title: Installation
---
Frigate is a Docker container that can be run on any Docker host including as a [HassOS Addon](https://www.home-assistant.io/addons/). See instructions below for installing the HassOS addon.
For HomeAssistant users, there is also a [custom component (aka integration)](https://github.com/blakeblackshear/frigate-hass-integration). This custom component adds tighter integration with HomeAssistant by automatically setting up camera entities, sensors, media browser for clips and recordings, and a public API to simplify notifications.
Note that HassOS Addons and custom components are different things. If you are already running Frigate with Docker directly, you do not need the Addon since the Addon would run another instance of Frigate.
## HassOS Addon
HassOS users can install via the addon repository. Frigate requires an MQTT server.
1. Navigate to Supervisor > Add-on Store > Repositories
1. Add https://github.com/blakeblackshear/frigate-hass-addons
1. Setup your configuration in the `Configuration` tab
1. Start the addon container
1. If you are using hardware acceleration for ffmpeg, you will need to disable "Protection mode"
## Docker
Make sure you choose the right image for your architecture:
|Arch|Image Name|
|-|-|
|amd64|blakeblackshear/frigate:stable-amd64|
|amd64nvidia|blakeblackshear/frigate:stable-amd64nvidia|
|armv7|blakeblackshear/frigate:stable-armv7|
|aarch64|blakeblackshear/frigate:stable-aarch64|
It is recommended to run with docker-compose:
```yaml
version: '3.9'
services:
frigate:
container_name: frigate
privileged: true # this may not be necessary for all setups
restart: unless-stopped
image: blakeblackshear/frigate:<specify_version_tag>
devices:
- /dev/bus/usb:/dev/bus/usb
- /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
volumes:
- /etc/localtime:/etc/localtime:ro
- <path_to_config_file>:/config/config.yml:ro
- <path_to_directory_for_media>:/media/frigate
- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
target: /tmp/cache
tmpfs:
size: 1000000000
ports:
- '5000:5000'
- '1935:1935' # RTMP feeds
environment:
FRIGATE_RTSP_PASSWORD: 'password'
```
If you can't use docker compose, you can run the container with something similar to this:
```bash
docker run -d \
--name frigate \
--restart=unless-stopped \
--mount type=tmpfs,target=/tmp/cache,tmpfs-size=1000000000 \
--device /dev/bus/usb:/dev/bus/usb \
--device /dev/dri/renderD128
-v <path_to_directory_for_media>:/media/frigate \
-v <path_to_config_file>:/config/config.yml:ro \
-v /etc/localtime:/etc/localtime:ro \
-e FRIGATE_RTSP_PASSWORD='password' \
-p 5000:5000 \
-p 1935:1935 \
blakeblackshear/frigate:<specify_version_tag>
```
### Calculating shm-size
The default shm-size of 64m is fine for setups with 3 or less 1080p cameras. If frigate is exiting with "Bus error" messages, it could be because you have too many high resolution cameras and you need to specify a higher shm size.
You can calculate the necessary shm-size for each camera with the following formula:
```
(width * height * 1.5 * 7 + 270480)/1048576 = <shm size in mb>
```
The shm size cannot be set per container for HomeAssistant Addons. You must set `default-shm-size` in `/etc/docker/daemon.json` to increase the default shm size. This will increase the shm size for all of your docker containers. This may or may not cause issues with your setup. https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file
## Kubernetes
Use the [helm chart](https://github.com/blakeblackshear/blakeshome-charts/tree/master/charts/frigate).
## Virtualization
For ideal performance, Frigate needs access to underlying hardware for the Coral and GPU devices for ffmpeg decoding. Running Frigate in a VM on top of Proxmox, ESXi, Virtualbox, etc. is not recommended. The virtualization layer typically introduces a sizable amount of overhead for communication with Coral devices.
### Proxmox
Some people have had success running Frigate in LXC directly with the following config:
```
arch: amd64
cores: 2
features: nesting=1
hostname: FrigateLXC
memory: 4096
net0: name=eth0,bridge=vmbr0,firewall=1,hwaddr=2E:76:AE:5A:58:48,ip=dhcp,ip6=auto,type=veth
ostype: debian
rootfs: local-lvm:vm-115-disk-0,size=12G
swap: 512
lxc.cgroup.devices.allow: c 189:385 rwm
lxc.mount.entry: /dev/dri/renderD128 dev/dri/renderD128 none bind,optional,create=file
lxc.mount.entry: /dev/bus/usb/004/002 dev/bus/usb/004/002 none bind,optional,create=file
lxc.apparmor.profile: unconfined
lxc.cgroup.devices.allow: a
lxc.cap.drop:
```
### ESX
For details on running Frigate under ESX, see details [here](https://github.com/blakeblackshear/frigate/issues/305).
-17
View File
@@ -1,17 +0,0 @@
---
id: mdx
title: Powered by MDX
---
You can write JSX and use React components within your Markdown thanks to [MDX](https://mdxjs.com/).
export const Highlight = ({children, color}) => ( <span style={{
backgroundColor: color,
borderRadius: '2px',
color: '#fff',
padding: '0.2rem',
}}>{children}</span> );
<Highlight color="#25c2a0">Docusaurus green</Highlight> and <Highlight color="#1877F2">Facebook blue</Highlight> are my favorite colors.
I can write **Markdown** alongside my _JSX_!
-20
View File
@@ -1,20 +0,0 @@
---
id: troubleshooting
title: Troubleshooting and FAQ
---
### How can I get sound or audio in my clips and recordings?
By default, Frigate removes audio from clips and recordings to reduce the likelihood of failing for invalid data. If you would like to include audio, you need to override the output args to remove `-an` for where you want to include audio. The recommended audio codec is `aac`. Not all audio codecs are supported by RTMP, so you may need to re-encode your audio with `-c:a aac`. The default ffmpeg args are shown [here](/frigate/configuration/index#ffmpeg).
### My mjpeg stream or snapshots look green and crazy
This almost always means that the width/height defined for your camera are not correct. Double check the resolution with vlc or another player. Also make sure you don't have the width and height values backwards.
![mismatched-resolution](/img/mismatched-resolution.jpg)
## "[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5639eeb6e140] moov atom not found"
These messages in the logs are expected in certain situations. Frigate checks the integrity of the video cache before assembling clips. Occasionally these cached files will be invalid and cleaned up automatically.
## "On connect called"
If you see repeated "On connect called" messages in your config, check for another instance of frigate. This happens when multiple frigate containers are trying to connect to mqtt with the same client_id.
-208
View File
@@ -1,208 +0,0 @@
---
id: api
title: HTTP API
---
A web server is available on port 5000 with the following endpoints.
### `/api/<camera_name>`
An mjpeg stream for debugging. Keep in mind the mjpeg endpoint is for debugging only and will put additional load on the system when in use.
Accepts the following query string parameters:
| param | Type | Description |
| ----------- | ---- | ------------------------------------------------------------------ |
| `fps` | int | Frame rate |
| `h` | int | Height in pixels |
| `bbox` | int | Show bounding boxes for detected objects (0 or 1) |
| `timestamp` | int | Print the timestamp in the upper left (0 or 1) |
| `zones` | int | Draw the zones on the image (0 or 1) |
| `mask` | int | Overlay the mask on the image (0 or 1) |
| `motion` | int | Draw blue boxes for areas with detected motion (0 or 1) |
| `regions` | int | Draw green boxes for areas where object detection was run (0 or 1) |
You can access a higher resolution mjpeg stream by appending `h=height-in-pixels` to the endpoint. For example `http://localhost:5000/back?h=1080`. You can also increase the FPS by appending `fps=frame-rate` to the URL such as `http://localhost:5000/back?fps=10` or both with `?fps=10&h=1000`.
### `/api/<camera_name>/<object_name>/best.jpg[?h=300&crop=1]`
The best snapshot for any object type. It is a full resolution image by default.
Example parameters:
- `h=300`: resizes the image to 300 pixes tall
- `crop=1`: crops the image to the region of the detection rather than returning the entire image
### `/api/<camera_name>/latest.jpg[?h=300]`
The most recent frame that frigate has finished processing. It is a full resolution image by default.
Accepts the following query string parameters:
| param | Type | Description |
| ----------- | ---- | ------------------------------------------------------------------ |
| `h` | int | Height in pixels |
| `bbox` | int | Show bounding boxes for detected objects (0 or 1) |
| `timestamp` | int | Print the timestamp in the upper left (0 or 1) |
| `zones` | int | Draw the zones on the image (0 or 1) |
| `mask` | int | Overlay the mask on the image (0 or 1) |
| `motion` | int | Draw blue boxes for areas with detected motion (0 or 1) |
| `regions` | int | Draw green boxes for areas where object detection was run (0 or 1) |
Example parameters:
- `h=300`: resizes the image to 300 pixes tall
### `/api/stats`
Contains some granular debug info that can be used for sensors in HomeAssistant.
Sample response:
```json
{
/* Per Camera Stats */
"back": {
/***************
* Frames per second being consumed from your camera. If this is higher
* than it is supposed to be, you should set -r FPS in your input_args.
* camera_fps = process_fps + skipped_fps
***************/
"camera_fps": 5.0,
/***************
* Number of times detection is run per second. This can be higher than
* your camera FPS because frigate often looks at the same frame multiple times
* or in multiple locations
***************/
"detection_fps": 1.5,
/***************
* PID for the ffmpeg process that consumes this camera
***************/
"capture_pid": 27,
/***************
* PID for the process that runs detection for this camera
***************/
"pid": 34,
/***************
* Frames per second being processed by frigate.
***************/
"process_fps": 5.1,
/***************
* Frames per second skip for processing by frigate.
***************/
"skipped_fps": 0.0
},
/***************
* Sum of detection_fps across all cameras and detectors.
* This should be the sum of all detection_fps values from cameras.
***************/
"detection_fps": 5.0,
/* Detectors Stats */
"detectors": {
"coral": {
/***************
* Timestamp when object detection started. If this value stays non-zero and constant
* for a long time, that means the detection process is stuck.
***************/
"detection_start": 0.0,
/***************
* Time spent running object detection in milliseconds.
***************/
"inference_speed": 10.48,
/***************
* PID for the shared process that runs object detection on the Coral.
***************/
"pid": 25321
}
},
"service": {
/* Uptime in seconds */
"uptime": 10,
"version": "0.8.0-8883709",
/* Storage data in MB for important locations */
"storage": {
"/media/frigate/clips": {
"total": 1000,
"used": 700,
"free": 300,
"mnt_type": "ext4",
},
"/media/frigate/recordings": {
"total": 1000,
"used": 700,
"free": 300,
"mnt_type": "ext4",
},
"/tmp/cache": {
"total": 256,
"used": 100,
"free": 156,
"mnt_type": "tmpfs",
},
"/dev/shm": {
"total": 256,
"used": 100,
"free": 156,
"mnt_type": "tmpfs",
},
}
}
}
```
### `/api/config`
A json representation of your configuration
### `/api/version`
Version info
### `/api/events`
Events from the database. Accepts the following query string parameters:
| param | Type | Description |
| -------------------- | ---- | --------------------------------------------- |
| `before` | int | Epoch time |
| `after` | int | Epoch time |
| `camera` | str | Camera name |
| `label` | str | Label name |
| `zone` | str | Zone name |
| `limit` | int | Limit the number of events returned |
| `has_snapshot` | int | Filter to events that have snapshots (0 or 1) |
| `has_clip` | int | Filter to events that have clips (0 or 1) |
| `include_thumbnails` | int | Include thumbnails in the response (0 or 1) |
### `/api/events/summary`
Returns summary data for events in the database. Used by the HomeAssistant integration.
### `/api/events/<id>`
Returns data for a single event.
### `/api/events/<id>/thumbnail.jpg`
Returns a thumbnail for the event id optimized for notifications. Works while the event is in progress and after completion. Passing `?format=android` will convert the thumbnail to 2:1 aspect ratio.
### `/api/events/<id>/snapshot.jpg`
Returns the snapshot image for the event id. Works while the event is in progress and after completion.
Accepts the following query string parameters, but they are only applied when an event is in progress. After the event is completed, the saved snapshot is returned from disk without modification:
| param | Type | Description |
| ----------- | ---- | ------------------------------------------------- |
| `h` | int | Height in pixels |
| `bbox` | int | Show bounding boxes for detected objects (0 or 1) |
| `timestamp` | int | Print the timestamp in the upper left (0 or 1) |
| `crop` | int | Crop the snapshot to the (0 or 1) |
### `/clips/<camera>-<id>.mp4`
Video clip for the given camera and event id.
### `/clips/<camera>-<id>.jpg`
JPG snapshot for the given camera and event id.
-132
View File
@@ -1,132 +0,0 @@
---
id: home-assistant
title: Integration with Home Assistant
sidebar_label: Home Assistant
---
The best way to integrate with HomeAssistant is to use the [official integration](https://github.com/blakeblackshear/frigate-hass-integration). When configuring the integration, you will be asked for the `Host` of your frigate instance. This value should be the url you use to access Frigate in the browser and will look like `http://<host>:5000/`. If you are using HassOS with the addon, the host should be `http://ccab4aaf-frigate:5000` (or `http://ccab4aaf-frigate-beta:5000` if your are using the beta version of the addon). HomeAssistant needs access to port 5000 (api) and 1935 (rtmp) for all features. The integration will setup the following entities within HomeAssistant:
## Sensors:
- Stats to monitor frigate performance
- Object counts for all zones and cameras
## Cameras:
- Cameras for image of the last detected object for each camera
- Camera entities with stream support (requires RTMP)
## Media Browser:
- Rich UI with thumbnails for browsing event clips
- Rich UI for browsing 24/7 recordings by month, day, camera, time
## API:
- Notification API with public facing endpoints for images in notifications
### Notifications
Frigate publishes event information in the form of a change feed via MQTT. This allows lots of customization for notifications to meet your needs. Event changes are published with `before` and `after` information as shown [here](#frigateevents).
Note that some people may not want to expose frigate to the web, so you can leverage the HA API that frigate custom_integration ties into (which is exposed to the web, and thus can be used for mobile notifications etc):
To load an image taken by frigate from HomeAssistants API see below:
```
https://HA_URL/api/frigate/notifications/<event-id>/thumbnail.jpg
```
To load a video clip taken by frigate from HomeAssistants API :
```
https://HA_URL/api/frigate/notifications/<event-id>/<camera>/clip.mp4
```
Here is a simple example of a notification automation of events which will update the existing notification for each change. This means the image you see in the notification will update as frigate finds a "better" image.
```yaml
automation:
- alias: Notify of events
trigger:
platform: mqtt
topic: frigate/events
action:
- service: notify.mobile_app_pixel_3
data_template:
message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
data:
image: 'https://your.public.hass.address.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg?format=android'
tag: '{{trigger.payload_json["after"]["id"]}}'
```
```yaml
automation:
- alias: When a person enters a zone named yard
trigger:
platform: mqtt
topic: frigate/events
condition:
- "{{ trigger.payload_json['after']['label'] == 'person' }}"
- "{{ 'yard' in trigger.payload_json['after']['entered_zones'] }}"
action:
- service: notify.mobile_app_pixel_3
data_template:
message: "A {{trigger.payload_json['after']['label']}} has entered the yard."
data:
image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
tag: "{{trigger.payload_json['after']['id']}}"
```
```yaml
- alias: When a person leaves a zone named yard
trigger:
platform: mqtt
topic: frigate/events
condition:
- "{{ trigger.payload_json['after']['label'] == 'person' }}"
- "{{ 'yard' in trigger.payload_json['before']['current_zones'] }}"
- "{{ not 'yard' in trigger.payload_json['after']['current_zones'] }}"
action:
- service: notify.mobile_app_pixel_3
data_template:
message: "A {{trigger.payload_json['after']['label']}} has left the yard."
data:
image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
tag: "{{trigger.payload_json['after']['id']}}"
```
```yaml
- alias: Notify for dogs in the front with a high top score
trigger:
platform: mqtt
topic: frigate/events
condition:
- "{{ trigger.payload_json['after']['label'] == 'dog' }}"
- "{{ trigger.payload_json['after']['camera'] == 'front' }}"
- "{{ trigger.payload_json['after']['top_score'] > 0.98 }}"
action:
- service: notify.mobile_app_pixel_3
data_template:
message: 'High confidence dog detection.'
data:
image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
tag: "{{trigger.payload_json['after']['id']}}"
```
If you are using telegram, you can fetch the image directly from Frigate:
```yaml
automation:
- alias: Notify of events
trigger:
platform: mqtt
topic: frigate/events
action:
- service: notify.telegram_full
data_template:
message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
data:
photo:
# this url should work for addon users
- url: 'http://ccab4aaf-frigate:5000/api/events/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg'
caption: 'A {{trigger.payload_json["after"]["label"]}} was detected on {{ trigger.payload_json["after"]["camera"] }} camera'
```
-99
View File
@@ -1,99 +0,0 @@
---
id: mqtt
title: MQTT
---
These are the MQTT messages generated by Frigate. The default topic_prefix is `frigate`, but can be changed in the config file.
### `frigate/available`
Designed to be used as an availability topic with HomeAssistant. Possible message are:
"online": published when frigate is running (on startup)
"offline": published right before frigate stops
### `frigate/<camera_name>/<object_name>`
Publishes the count of objects for the camera for use as a sensor in HomeAssistant.
### `frigate/<zone_name>/<object_name>`
Publishes the count of objects for the zone for use as a sensor in HomeAssistant.
### `frigate/<camera_name>/<object_name>/snapshot`
Publishes a jpeg encoded frame of the detected object type. When the object is no longer detected, the highest confidence image is published or the original image
is published again.
The height and crop of snapshots can be configured in the config.
### `frigate/events`
Message published for each changed event. The first message is published when the tracked object is no longer marked as a false_positive. When frigate finds a better snapshot of the tracked object or when a zone change occurs, it will publish a message with the same id. When the event ends, a final message is published with `end_time` set.
```json
{
"type": "update", // new, update, or end
"before": {
"id": "1607123955.475377-mxklsc",
"camera": "front_door",
"frame_time": 1607123961.837752,
"label": "person",
"top_score": 0.958984375,
"false_positive": false,
"start_time": 1607123955.475377,
"end_time": null,
"score": 0.7890625,
"box": [424, 500, 536, 712],
"area": 23744,
"region": [264, 450, 667, 853],
"current_zones": ["driveway"],
"entered_zones": ["yard", "driveway"],
"thumbnail": null
},
"after": {
"id": "1607123955.475377-mxklsc",
"camera": "front_door",
"frame_time": 1607123962.082975,
"label": "person",
"top_score": 0.958984375,
"false_positive": false,
"start_time": 1607123955.475377,
"end_time": null,
"score": 0.87890625,
"box": [432, 496, 544, 854],
"area": 40096,
"region": [218, 440, 693, 915],
"current_zones": ["yard", "driveway"],
"entered_zones": ["yard", "driveway"],
"thumbnail": null
}
}
```
### `frigate/stats`
Same data available at `/api/stats` published at a configurable interval.
### `frigate/<camera_name>/detect/set`
Topic to turn detection for a camera on and off. Expected values are `ON` and `OFF`.
### `frigate/<camera_name>/detect/state`
Topic with current state of detection for a camera. Published values are `ON` and `OFF`.
### `frigate/<camera_name>/clips/set`
Topic to turn clips for a camera on and off. Expected values are `ON` and `OFF`.
### `frigate/<camera_name>/clips/state`
Topic with current state of clips for a camera. Published values are `ON` and `OFF`.
### `frigate/<camera_name>/snapshots/set`
Topic to turn snapshots for a camera on and off. Expected values are `ON` and `OFF`.
### `frigate/<camera_name>/snapshots/state`
Topic with current state of snapshots for a camera. Published values are `ON` and `OFF`.
-10
View File
@@ -1,10 +0,0 @@
---
id: web
title: Web Interface
---
Frigate comes bundled with a simple web ui that supports the following:
- Show cameras
- Browse events
- Mask helper
-76
View File
@@ -1,76 +0,0 @@
module.exports = {
title: 'Frigate',
tagline: 'NVR With Realtime Object Detection for IP Cameras',
url: 'https://blakeblackshear.github.io',
baseUrl: '/frigate/',
onBrokenLinks: 'throw',
onBrokenMarkdownLinks: 'warn',
favicon: 'img/favicon.ico',
organizationName: 'blakeblackshear',
projectName: 'frigate',
themeConfig: {
algolia: {
apiKey: '81ec882db78f7fed05c51daf973f0362',
indexName: 'frigate'
},
navbar: {
title: 'Frigate',
logo: {
alt: 'Frigate',
src: 'img/logo.svg',
srcDark: 'img/logo-dark.svg',
},
items: [
{
to: '/',
activeBasePath: 'docs',
label: 'Docs',
position: 'left',
},
{
href: 'https://github.com/blakeblackshear/frigate',
label: 'GitHub',
position: 'right',
},
],
},
sidebarCollapsible: false,
hideableSidebar: true,
footer: {
style: 'dark',
links: [
{
title: 'Community',
items: [
{
label: 'GitHub',
href: 'https://github.com/blakeblackshear/frigate',
},
{
label: 'Discussions',
href: 'https://github.com/blakeblackshear/frigate/discussions',
},
],
},
],
copyright: `Copyright © ${new Date().getFullYear()} Blake Blackshear`,
},
},
presets: [
[
'@docusaurus/preset-classic',
{
docs: {
routeBasePath: '/',
sidebarPath: require.resolve('./sidebars.js'),
// Please change this to your repo.
editUrl: 'https://github.com/blakeblackshear/frigate/edit/master/docs/',
},
theme: {
customCss: require.resolve('./src/css/custom.css'),
},
},
],
],
};
-14035
View File
File diff suppressed because it is too large Load Diff
-34
View File
@@ -1,34 +0,0 @@
{
"name": "docs",
"version": "0.0.0",
"private": true,
"scripts": {
"docusaurus": "docusaurus",
"start": "docusaurus start",
"build": "docusaurus build",
"swizzle": "docusaurus swizzle",
"deploy": "docusaurus deploy",
"serve": "docusaurus serve",
"clear": "docusaurus clear"
},
"dependencies": {
"@docusaurus/core": "2.0.0-alpha.70",
"@docusaurus/preset-classic": "2.0.0-alpha.70",
"@mdx-js/react": "^1.6.21",
"clsx": "^1.1.1",
"react": "^16.8.4",
"react-dom": "^16.8.4"
},
"browserslist": {
"production": [
">0.5%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
}
}
-14
View File
@@ -1,14 +0,0 @@
module.exports = {
docs: {
Frigate: ['index', 'how-it-works', 'hardware', 'installation', 'troubleshooting'],
Configuration: [
'configuration/index',
'configuration/cameras',
'configuration/optimizing',
'configuration/detectors',
'configuration/false_positives',
'configuration/advanced',
],
Usage: ['usage/home-assistant', 'usage/web', 'usage/api', 'usage/mqtt'],
},
};
-25
View File
@@ -1,25 +0,0 @@
/* stylelint-disable docusaurus/copyright-header */
/**
* Any CSS included here will be global. The classic template
* bundles Infima by default. Infima is a CSS framework designed to
* work well for content-centric websites.
*/
/* You can override the default Infima variables here. */
:root {
--ifm-color-primary: #3b82f7;
--ifm-color-primary-dark: #1d4ed8;
--ifm-color-primary-darker: #1e40af;
--ifm-color-primary-darkest: #1e3a8a;
--ifm-color-primary-light: #60a5fa;
--ifm-color-primary-lighter: #93c5fd;
--ifm-color-primary-lightest: #dbeafe;
--ifm-code-font-size: 95%;
}
.docusaurus-highlight-code-line {
background-color: rgb(72, 77, 91);
display: block;
margin: 0 calc(-1 * var(--ifm-pre-padding));
padding: 0 var(--ifm-pre-padding);
}
File diff suppressed because one or more lines are too long
View File
-15
View File
@@ -1,15 +0,0 @@
import faulthandler; faulthandler.enable()
import sys
import threading
threading.current_thread().name = "frigate"
from frigate.app import FrigateApp
cli = sys.modules['flask.cli']
cli.show_server_banner = lambda *x: None
if __name__ == '__main__':
frigate_app = FrigateApp()
frigate_app.start()
-267
View File
@@ -1,267 +0,0 @@
import json
import logging
import multiprocessing as mp
import os
from logging.handlers import QueueHandler
from typing import Dict, List
import sys
import signal
import yaml
from gevent import pywsgi
from geventwebsocket.handler import WebSocketHandler
from peewee_migrate import Router
from playhouse.sqlite_ext import SqliteExtDatabase
from playhouse.sqliteq import SqliteQueueDatabase
from frigate.config import FrigateConfig
from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
from frigate.edgetpu import EdgeTPUProcess
from frigate.events import EventProcessor, EventCleanup
from frigate.http import create_app
from frigate.log import log_process, root_configurer
from frigate.models import Event
from frigate.mqtt import create_mqtt_client
from frigate.object_processing import TrackedObjectProcessor
from frigate.record import RecordingMaintainer
from frigate.stats import StatsEmitter, stats_init
from frigate.video import capture_camera, track_camera
from frigate.watchdog import FrigateWatchdog
from frigate.zeroconf import broadcast_zeroconf
logger = logging.getLogger(__name__)
class FrigateApp():
def __init__(self):
self.stop_event = mp.Event()
self.config: FrigateConfig = None
self.detection_queue = mp.Queue()
self.detectors: Dict[str, EdgeTPUProcess] = {}
self.detection_out_events: Dict[str, mp.Event] = {}
self.detection_shms: List[mp.shared_memory.SharedMemory] = []
self.log_queue = mp.Queue()
self.camera_metrics = {}
def set_environment_vars(self):
for key, value in self.config.environment_vars.items():
os.environ[key] = value
def ensure_dirs(self):
for d in [RECORD_DIR, CLIPS_DIR, CACHE_DIR]:
if not os.path.exists(d) and not os.path.islink(d):
logger.info(f"Creating directory: {d}")
os.makedirs(d)
else:
logger.debug(f"Skipping directory: {d}")
tmpfs_size = self.config.clips.tmpfs_cache_size
if tmpfs_size:
logger.info(f"Creating tmpfs of size {tmpfs_size}")
rc = os.system(f"mount -t tmpfs -o size={tmpfs_size} tmpfs {CACHE_DIR}")
if rc != 0:
logger.error(f"Failed to create tmpfs, error code: {rc}")
def init_logger(self):
self.log_process = mp.Process(target=log_process, args=(self.log_queue,), name='log_process')
self.log_process.daemon = True
self.log_process.start()
root_configurer(self.log_queue)
def init_config(self):
config_file = os.environ.get('CONFIG_FILE', '/config/config.yml')
self.config = FrigateConfig(config_file=config_file)
for camera_name in self.config.cameras.keys():
# create camera_metrics
self.camera_metrics[camera_name] = {
'camera_fps': mp.Value('d', 0.0),
'skipped_fps': mp.Value('d', 0.0),
'process_fps': mp.Value('d', 0.0),
'detection_enabled': mp.Value('i', self.config.cameras[camera_name].detect.enabled),
'detection_fps': mp.Value('d', 0.0),
'detection_frame': mp.Value('d', 0.0),
'read_start': mp.Value('d', 0.0),
'ffmpeg_pid': mp.Value('i', 0),
'frame_queue': mp.Queue(maxsize=2),
}
def check_config(self):
for name, camera in self.config.cameras.items():
assigned_roles = list(set([r for i in camera.ffmpeg.inputs for r in i.roles]))
if not camera.clips.enabled and 'clips' in assigned_roles:
logger.warning(f"Camera {name} has clips assigned to an input, but clips is not enabled.")
elif camera.clips.enabled and not 'clips' in assigned_roles:
logger.warning(f"Camera {name} has clips enabled, but clips is not assigned to an input.")
if not camera.record.enabled and 'record' in assigned_roles:
logger.warning(f"Camera {name} has record assigned to an input, but record is not enabled.")
elif camera.record.enabled and not 'record' in assigned_roles:
logger.warning(f"Camera {name} has record enabled, but record is not assigned to an input.")
if not camera.rtmp.enabled and 'rtmp' in assigned_roles:
logger.warning(f"Camera {name} has rtmp assigned to an input, but rtmp is not enabled.")
elif camera.rtmp.enabled and not 'rtmp' in assigned_roles:
logger.warning(f"Camera {name} has rtmp enabled, but rtmp is not assigned to an input.")
def set_log_levels(self):
logging.getLogger().setLevel(self.config.logger.default)
for log, level in self.config.logger.logs.items():
logging.getLogger(log).setLevel(level)
if not 'geventwebsocket.handler' in self.config.logger.logs:
logging.getLogger('geventwebsocket.handler').setLevel('ERROR')
def init_queues(self):
# Queues for clip processing
self.event_queue = mp.Queue()
self.event_processed_queue = mp.Queue()
# Queue for cameras to push tracked objects to
self.detected_frames_queue = mp.Queue(maxsize=len(self.config.cameras.keys())*2)
def init_database(self):
migrate_db = SqliteExtDatabase(self.config.database.path)
# Run migrations
del(logging.getLogger('peewee_migrate').handlers[:])
router = Router(migrate_db)
router.run()
migrate_db.close()
self.db = SqliteQueueDatabase(self.config.database.path)
models = [Event]
self.db.bind(models)
def init_stats(self):
self.stats_tracking = stats_init(self.camera_metrics, self.detectors)
def init_web_server(self):
self.flask_app = create_app(self.config, self.db, self.stats_tracking, self.detected_frames_processor, self.mqtt_client)
def init_mqtt(self):
self.mqtt_client = create_mqtt_client(self.config, self.camera_metrics)
def start_detectors(self):
model_shape = (self.config.model.height, self.config.model.width)
for name in self.config.cameras.keys():
self.detection_out_events[name] = mp.Event()
shm_in = mp.shared_memory.SharedMemory(name=name, create=True, size=self.config.model.height*self.config.model.width*3)
shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}", create=True, size=20*6*4)
self.detection_shms.append(shm_in)
self.detection_shms.append(shm_out)
for name, detector in self.config.detectors.items():
if detector.type == 'cpu':
self.detectors[name] = EdgeTPUProcess(name, self.detection_queue, self.detection_out_events, model_shape, 'cpu', detector.num_threads)
if detector.type == 'edgetpu':
self.detectors[name] = EdgeTPUProcess(name, self.detection_queue, self.detection_out_events, model_shape, detector.device, detector.num_threads)
def start_detected_frames_processor(self):
self.detected_frames_processor = TrackedObjectProcessor(self.config, self.mqtt_client, self.config.mqtt.topic_prefix,
self.detected_frames_queue, self.event_queue, self.event_processed_queue, self.stop_event)
self.detected_frames_processor.start()
def start_camera_processors(self):
model_shape = (self.config.model.height, self.config.model.width)
for name, config in self.config.cameras.items():
camera_process = mp.Process(target=track_camera, name=f"camera_processor:{name}", args=(name, config, model_shape,
self.detection_queue, self.detection_out_events[name], self.detected_frames_queue,
self.camera_metrics[name]))
camera_process.daemon = True
self.camera_metrics[name]['process'] = camera_process
camera_process.start()
logger.info(f"Camera processor started for {name}: {camera_process.pid}")
def start_camera_capture_processes(self):
for name, config in self.config.cameras.items():
capture_process = mp.Process(target=capture_camera, name=f"camera_capture:{name}", args=(name, config,
self.camera_metrics[name]))
capture_process.daemon = True
self.camera_metrics[name]['capture_process'] = capture_process
capture_process.start()
logger.info(f"Capture process started for {name}: {capture_process.pid}")
def start_event_processor(self):
self.event_processor = EventProcessor(self.config, self.camera_metrics, self.event_queue, self.event_processed_queue, self.stop_event)
self.event_processor.start()
def start_event_cleanup(self):
self.event_cleanup = EventCleanup(self.config, self.stop_event)
self.event_cleanup.start()
def start_recording_maintainer(self):
self.recording_maintainer = RecordingMaintainer(self.config, self.stop_event)
self.recording_maintainer.start()
def start_stats_emitter(self):
self.stats_emitter = StatsEmitter(self.config, self.stats_tracking, self.mqtt_client, self.config.mqtt.topic_prefix, self.stop_event)
self.stats_emitter.start()
def start_watchdog(self):
self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
self.frigate_watchdog.start()
def start(self):
self.init_logger()
try:
try:
self.init_config()
except Exception as e:
print(f"Error parsing config: {e}")
self.log_process.terminate()
sys.exit(1)
self.set_environment_vars()
self.ensure_dirs()
self.check_config()
self.set_log_levels()
self.init_queues()
self.init_database()
self.init_mqtt()
except Exception as e:
print(e)
self.log_process.terminate()
sys.exit(1)
self.start_detectors()
self.start_detected_frames_processor()
self.start_camera_processors()
self.start_camera_capture_processes()
self.init_stats()
self.init_web_server()
self.start_event_processor()
self.start_event_cleanup()
self.start_recording_maintainer()
self.start_stats_emitter()
self.start_watchdog()
# self.zeroconf = broadcast_zeroconf(self.config.mqtt.client_id)
def receiveSignal(signalNumber, frame):
self.stop()
sys.exit()
signal.signal(signal.SIGTERM, receiveSignal)
server = pywsgi.WSGIServer(('127.0.0.1', 5001), self.flask_app, handler_class=WebSocketHandler)
server.serve_forever()
self.stop()
def stop(self):
logger.info(f"Stopping...")
self.stop_event.set()
self.detected_frames_processor.join()
self.event_processor.join()
self.event_cleanup.join()
self.recording_maintainer.join()
self.stats_emitter.join()
self.frigate_watchdog.join()
self.db.stop()
for detector in self.detectors.values():
detector.stop()
while len(self.detection_shms) > 0:
shm = self.detection_shms.pop()
shm.close()
shm.unlink()
-1112
View File
File diff suppressed because it is too large Load Diff

Some files were not shown because too many files have changed in this diff Show More