Create CNAME

deploy: d35b09b18f
deploy: faf103152a
2026-07-21 11:19:02 +03:00 · 2021-10-10 12:34:26 -05:00 · 2021-09-05 16:15:33 +00:00 · 2021-09-03 12:05:21 +00:00 · 2021-08-14 12:37:01 +00:00 · 2021-08-14 12:28:46 +00:00
134 changed files with 949 additions and 8374 deletions
@@ -1,7 +0,0 @@
-README.md
-docs/
-.gitignore
-debug
-config/
-*.pyc
-.git
@@ -1 +0,0 @@
-github: blakeblackshear
@@ -1,56 +0,0 @@
---
-name: Bug report or Support request
-about: ''
-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.
@@ -1,8 +0,0 @@
-*.pyc 
-debug
-.vscode
-config/config.yml
-models
-*.mp4
-*.db
-frigate/version.py
@@ -0,0 +1,5 @@
+/*!
+  Copyright (c) 2017 Jed Watson.
+  Licensed under the MIT License (MIT), see
+  http://jedwatson.github.io/classnames
+*/
@@ -0,0 +1 @@
+/*! algoliasearch-lite.umd.js | 4.8.4 | © Algolia, inc. | https://github.com/algolia/algoliasearch-client-javascript */
@@ -0,0 +1 @@
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@@ -0,0 +1 @@
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@@ -0,0 +1 @@
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@@ -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">
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+<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>
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+<script src="/frigate/31.3f82c6fa.js"></script>
+<script src="/frigate/935f2afb.06dae20f.js"></script>
+</body>
+</html>
@@ -0,0 +1 @@
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@@ -0,0 +1 @@
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@@ -0,0 +1 @@
+docs.frigate.video
@@ -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.
@@ -1,54 +0,0 @@
-default_target: amd64_frigate
-
-COMMIT_HASH := $(shell git log -1 --pretty=format:"%h")
-
-version:
-	echo "VERSION='0.8.0-$(COMMIT_HASH)'" > frigate/version.py
-
-amd64_wheels:
-	docker build --tag blakeblackshear/frigate-wheels: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
-	docker build --tag frigate-base --build-arg ARCH=amd64 --build-arg FFMPEG_VERSION=1.1.0 --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: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
-	docker build --tag frigate-base --build-arg ARCH=amd64nvidia --build-arg FFMPEG_VERSION=1.0.0 --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:aarch64 --file docker/Dockerfile.wheels.aarch64 .
-
-aarch64_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
-
-aarch64_frigate: version
-	docker build --tag frigate-base --build-arg ARCH=aarch64 --build-arg FFMPEG_VERSION=1.0.0 --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: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
-	docker build --tag frigate-base --build-arg ARCH=armv7 --build-arg FFMPEG_VERSION=1.0.0 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.armv7 .
-
-armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
@@ -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.")
@@ -0,0 +1,10 @@
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+<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>
@@ -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>
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@@ -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">
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+<link rel="search" type="application/opensearchdescription+xml" title="Frigate" href="/frigate/opensearch.xml"><title data-react-helmet="true">nVidia hardware decoder | Frigate</title><meta data-react-helmet="true" name="twitter:card" content="summary_large_image"><meta data-react-helmet="true" name="docsearch:language" content="en"><meta data-react-helmet="true" name="docsearch:version" content="current"><meta data-react-helmet="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-react-helmet="true" property="og:title" content="nVidia hardware decoder | Frigate"><meta data-react-helmet="true" name="description" content="Certain nvidia cards include a hardware decoder, which can greatly improve the"><meta data-react-helmet="true" property="og:description" content="Certain nvidia cards include a hardware decoder, which can greatly improve the"><meta data-react-helmet="true" property="og:url" content="https://blakeblackshear.github.io/frigate/configuration/nvdec"><link data-react-helmet="true" rel="shortcut icon" href="/frigate/img/favicon.ico"><link data-react-helmet="true" rel="preconnect" href="https://BH4D9OD16A-dsn.algolia.net" crossorigin="anonymous"><link data-react-helmet="true" rel="canonical" href="https://blakeblackshear.github.io/frigate/configuration/nvdec"><link rel="stylesheet" href="/frigate/styles.4dd8d972.css">
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+performance of video decoding. In order to use NVDEC, a special build of
+ffmpeg with NVDEC support is required. The special docker architecture &#x27;amd64nvidia&#x27;
+includes this support for amd64 platforms. An aarch64 for the Jetson, which
+also includes NVDEC may be added in the future.</p><h2><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="docker-setup"></a>Docker setup<a class="hash-link" href="#docker-setup" title="Direct link to heading">#</a></h2><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="requirements"></a>Requirements<a class="hash-link" href="#requirements" title="Direct link to heading">#</a></h3><p><a href="https://www.nvidia.com/en-us/drivers/unix/" target="_blank" rel="noopener noreferrer">nVidia closed source driver</a> required to access NVDEC.
+<a href="https://github.com/NVIDIA/nvidia-docker" target="_blank" rel="noopener noreferrer">nvidia-docker</a> required to pass NVDEC to docker.</p><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="setting-up-docker-compose"></a>Setting up docker-compose<a class="hash-link" href="#setting-up-docker-compose" title="Direct link to heading">#</a></h3><p>In order to pass NVDEC, the docker engine must be set to <code>nvidia</code> and the environment variables
+<code>NVIDIA_VISIBLE_DEVICES=all</code> and <code>NVIDIA_DRIVER_CAPABILITIES=compute,utility,video</code> must be set.</p><p>In a docker compose file, these lines need to be set:</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain">services:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">  frigate:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">    ...</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">    image: blakeblackshear/frigate:stable-amd64nvidia</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">    runtime: nvidia</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">    environment:</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">      - NVIDIA_VISIBLE_DEVICES=all</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain">      - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><h3><a aria-hidden="true" tabindex="-1" class="anchor enhancedAnchor_prK2" id="setting-up-the-configuration-file"></a>Setting up the configuration file<a class="hash-link" href="#setting-up-the-configuration-file" title="Direct link to heading">#</a></h3><p>In your frigate config.yml, you&#x27;ll need to set ffmpeg to use the hardware decoder.
+The decoder you choose will depend on the input video.</p><p>A list of supported codecs (you can use <code>ffmpeg -decoders | grep cuvid</code> in the container to get a list)</p><div class="mdxCodeBlock_1zKU"><div class="codeBlockContent_actS"><div tabindex="0" class="prism-code language-undefined codeBlock_tuNs thin-scrollbar"><div class="codeBlockLines_3uvA" style="color:#bfc7d5;background-color:#292d3e"><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... h263_cuvid           Nvidia CUVID H263 decoder (codec h263)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... h264_cuvid           Nvidia CUVID H264 decoder (codec h264)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... hevc_cuvid           Nvidia CUVID HEVC decoder (codec hevc)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mjpeg_cuvid          Nvidia CUVID MJPEG decoder (codec mjpeg)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg1_cuvid          Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg2_cuvid          Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... mpeg4_cuvid          Nvidia CUVID MPEG4 decoder (codec mpeg4)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vc1_cuvid            Nvidia CUVID VC1 decoder (codec vc1)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vp8_cuvid            Nvidia CUVID VP8 decoder (codec vp8)</span></div><div class="token-line" style="color:#bfc7d5"><span class="token plain"> V..... vp9_cuvid            Nvidia CUVID VP9 decoder (codec vp9)</span></div></div></div><button type="button" aria-label="Copy code to clipboard" class="copyButton_2GIj">Copy</button></div></div><p>For example, for H265 video (hevc), you&#x27;ll select <code>hevc_cuvid</code>. Add
+<code>-c:v hevc_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>
@@ -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)
@@ -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)
@@ -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:${PATH}
-ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-# nvidia-container-runtime
-ENV NVIDIA_VISIBLE_DEVICES all
-ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
-ENV NVIDIA_REQUIRE_CUDA "cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451"
@@ -1,24 +0,0 @@
-FROM frigate-base
-LABEL maintainer "blakeb@blakeshome.com"
-
-ENV DEBIAN_FRONTEND=noninteractive
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get -qq install --no-install-recommends -y \
-        # ffmpeg runtime dependencies
-        libgomp1 \
-        # runtime dependencies
-        libopenexr24 \
-        libgstreamer1.0-0 \
-        libgstreamer-plugins-base1.0-0 \
-        libopenblas-base \
-        libjpeg-turbo8 \
-        libpng16-16 \
-        libtiff5 \
-        libdc1394-22 \
-        libaom0 \
-        libx265-179 \
-    ## Tensorflow lite
-    && pip3 install https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_armv7l.whl \
-    && rm -rf /var/lib/apt/lists/* \
-    && (apt-get autoremove -y; apt-get autoclean -y)
@@ -1,53 +0,0 @@
-ARG ARCH=amd64
-ARG FFMPEG_VERSION
-FROM blakeblackshear/frigate-wheels:${ARCH} as wheels
-FROM blakeblackshear/frigate-ffmpeg:${FFMPEG_VERSION}-${ARCH} as ffmpeg
-
-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 \
-    zeroconf \
-    voluptuous
-
-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/
-
-COPY run.sh /run.sh
-RUN chmod +x /run.sh
-
-EXPOSE 5000
-EXPOSE 1935
-
-CMD ["/run.sh"]
@@ -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
@@ -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/*
@@ -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
@@ -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/
@@ -1,39 +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
-
-RUN pip3 install scikit-build
-
-RUN pip3 wheel --wheel-dir=/wheels \
-    opencv-python-headless \
-    numpy \
-    imutils \
-    scipy \
-    psutil \
-    Flask \
-    paho-mqtt \
-    PyYAML \
-    matplotlib \
-    click
-
-FROM scratch
-
-COPY --from=build /wheels /wheels
@@ -1,49 +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
-
-# need to build cmake from source because binary distribution is broken for arm64
-# https://github.com/scikit-build/cmake-python-distributions/issues/115
-# https://github.com/skvark/opencv-python/issues/366
-# https://github.com/scikit-build/cmake-python-distributions/issues/96#issuecomment-663062358
-RUN pip3 install scikit-build
-
-RUN git clone https://github.com/scikit-build/cmake-python-distributions.git \
-    && cd cmake-python-distributions/ \
-    && python3 setup.py bdist_wheel
-
-RUN pip3 install cmake-python-distributions/dist/*.whl
-
-RUN pip3 wheel --wheel-dir=/wheels \
-    opencv-python-headless \
-    numpy \
-    imutils \
-    scipy \
-    psutil \
-    Flask \
-    paho-mqtt \
-    PyYAML \
-    matplotlib \
-    click
-
-FROM scratch
-
-COPY --from=build /wheels /wheels
@@ -1,21 +0,0 @@
-# Camera Specific Configuration
-Frigate should work with most RTSP cameras and h264 feeds such as Dahua.
-
-## 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'
-```
@@ -1,10 +0,0 @@
-# How Frigate Works
-Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary
-
-![Diagram](diagram.png)
-
-## 1. Look for Motion
-
-## 2. Calculate Detection Regions
-
-## 3. Run Object Detection
@@ -1,71 +0,0 @@
-# Notification examples
-
-Here are some examples of notifications for the HomeAssistant android companion app:
-```yaml
-automation:
-
-  - alias: When a person enters a zone named yard
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ 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']}}.jpg"
-            tag: "{{trigger.payload_json['after']['id']}}"
-
-  - alias: When a person leaves a zone named yard
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ 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']}}.jpg"
-            tag: "{{trigger.payload_json['after']['id']}}"
-
-  - alias: Notify for dogs in the front with a high top score
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ 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']}}.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/events/{{trigger.payload_json["after"]["id"]}}/snapshot.jpg'
-                caption : 'A {{trigger.payload_json["after"]["label"]}} was detected on {{ trigger.payload_json["after"]["camera"] }} camera'
-```
@@ -1,105 +0,0 @@
-# nVidia hardware decoder (NVDEC)
-
-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.
-
@@ -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()
@@ -1,235 +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 playhouse.sqlite_ext import SqliteExtDatabase
-
-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.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 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.save_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_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.save_clips.enabled and 'clips' in assigned_roles:
-                logger.warning(f"Camera {name} has clips assigned to an input, but save_clips is not enabled.")
-            elif camera.save_clips.enabled and not 'clips' in assigned_roles:
-                logger.warning(f"Camera {name} has save_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 'werkzeug' in self.config.logger.logs:
-            logging.getLogger('werkzeug').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):
-        self.db = SqliteExtDatabase(self.config.database.path)
-        models = [Event]
-        self.db.bind(models)
-        self.db.create_tables(models, safe=True)
-
-    def init_web_server(self):
-        self.flask_app = create_app(self.config, self.db, self.camera_metrics, self.detectors, self.detected_frames_processor)
-
-    def init_mqtt(self):
-        self.mqtt_client = create_mqtt_client(self.config.mqtt)
-
-    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_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:
-                logger.error(f"Error parsing config: {e}")
-                self.log_process.terminate()
-                sys.exit(1)
-            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_web_server()
-        self.start_event_processor()
-        self.start_event_cleanup()
-        self.start_recording_maintainer()
-        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)
-
-        self.flask_app.run(host='127.0.0.1', port=5001, debug=False)
-        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.frigate_watchdog.join()
-
-        for detector in self.detectors.values():
-            detector.stop()
-
-        while len(self.detection_shms) > 0:
-            shm = self.detection_shms.pop()
-            shm.close()
-            shm.unlink()
@@ -1,968 +0,0 @@
-import base64
-import json
-import logging
-import os
-from typing import Dict
-
-import cv2
-import matplotlib.pyplot as plt
-import numpy as np
-import voluptuous as vol
-import yaml
-
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-
-logger = logging.getLogger(__name__)
-
-DETECTORS_SCHEMA = vol.Schema(
-    {
-        vol.Required(str): {
-            vol.Required('type', default='edgetpu'): vol.In(['cpu', 'edgetpu']), 
-            vol.Optional('device', default='usb'): str,
-            vol.Optional('num_threads', default=3): int
-        }
-    }
-)
-
-DEFAULT_DETECTORS = {
-    'coral': {
-        'type': 'edgetpu',
-        'device': 'usb'
-    }
-}
-
-MQTT_SCHEMA = vol.Schema(
-    {
-        vol.Required('host'): str,
-        vol.Optional('port', default=1883): int,
-        vol.Optional('topic_prefix', default='frigate'): str,
-        vol.Optional('client_id', default='frigate'): str,
-        'user': str,
-        'password': str
-    }
-)
-
-SAVE_CLIPS_RETAIN_SCHEMA = vol.Schema(
-    {
-        vol.Required('default',default=10): int,
-        'objects': {
-            str: int
-        }
-    }
-)
-
-SAVE_CLIPS_SCHEMA = vol.Schema(
-    {
-        vol.Optional('max_seconds', default=300): int,
-        'tmpfs_cache_size': str,
-        vol.Optional('retain', default={}): SAVE_CLIPS_RETAIN_SCHEMA
-    }
-)
-
-FFMPEG_GLOBAL_ARGS_DEFAULT = ['-hide_banner','-loglevel','fatal']
-FFMPEG_INPUT_ARGS_DEFAULT = ['-avoid_negative_ts', 'make_zero',
-    '-fflags', '+genpts+discardcorrupt',
-    '-rtsp_transport', 'tcp',
-    '-stimeout', '5000000',
-    '-use_wallclock_as_timestamps', '1']
-DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ['-f', 'rawvideo',
-    '-pix_fmt', 'yuv420p']
-RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-c", "copy", "-f", "flv"]
-SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
-    "10", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
-    "1", "-c", "copy", "-an"]
-RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
-    "60", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
-    "1", "-c", "copy", "-an"]
-
-GLOBAL_FFMPEG_SCHEMA = vol.Schema(
-    { 
-        vol.Optional('global_args', default=FFMPEG_GLOBAL_ARGS_DEFAULT):  vol.Any(str, [str]),
-        vol.Optional('hwaccel_args', default=[]): vol.Any(str, [str]),
-        vol.Optional('input_args', default=FFMPEG_INPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        vol.Optional('output_args', default={}): {
-            vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        }
-    }
-)
-
-MOTION_SCHEMA = vol.Schema(
-    {
-        'threshold': vol.Range(min=1, max=255),
-        'contour_area': int,
-        'delta_alpha': float,
-        'frame_alpha': float,
-        'frame_height': int
-    }
-)
-
-DETECT_SCHEMA = vol.Schema(
-    {
-        'max_disappeared': int
-    }
-)
-
-FILTER_SCHEMA = vol.Schema(
-    { 
-        str: {
-                vol.Optional('min_area', default=0): int,
-                vol.Optional('max_area', default=24000000): int,
-                vol.Optional('threshold', default=0.7): float
-            }
-    }
-)
-
-def filters_for_all_tracked_objects(object_config):
-    for tracked_object in object_config.get('track', ['person']):
-        if not 'filters' in object_config:
-            object_config['filters'] = {}
-        if not tracked_object in object_config['filters']:
-            object_config['filters'][tracked_object] = {}
-    return object_config
-
-OBJECTS_SCHEMA = vol.Schema(vol.All(filters_for_all_tracked_objects,
-    {
-        vol.Optional('track', default=['person']): [str],
-        vol.Optional('filters', default = {}): FILTER_SCHEMA.extend({ str: {vol.Optional('min_score', default=0.5): float}})
-    }
-))
-
-def each_role_used_once(inputs):
-    roles = [role for i in inputs for role in i['roles']]
-    roles_set = set(roles)
-    if len(roles) > len(roles_set):
-        raise ValueError
-    return inputs
-
-CAMERA_FFMPEG_SCHEMA = vol.Schema(
-    { 
-        vol.Required('inputs'): vol.All([{
-            vol.Required('path'): str,
-            vol.Required('roles'): ['detect', 'clips', 'record', 'rtmp'],
-            'global_args':  vol.Any(str, [str]),
-            'hwaccel_args': vol.Any(str, [str]),
-            'input_args': vol.Any(str, [str]),
-        }], vol.Msg(each_role_used_once, msg="Each input role may only be used once")), 
-        'output_args': {
-            vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        }
-    }
-)
-
-def ensure_zones_and_cameras_have_different_names(cameras):
-    zones = [zone for camera in cameras.values() for zone in camera['zones'].keys()]
-    for zone in zones:
-        if zone in cameras.keys():
-            raise ValueError
-    return cameras
-
-CAMERAS_SCHEMA = vol.Schema(vol.All(
-    {
-        str: {
-            vol.Required('ffmpeg'): CAMERA_FFMPEG_SCHEMA,
-            vol.Required('height'): int,
-            vol.Required('width'): int,
-            'fps': int,
-            'mask': vol.Any(str, [str]),
-            vol.Optional('best_image_timeout', default=60): int,
-            vol.Optional('zones', default={}):  {
-                str: {
-                    vol.Required('coordinates'): vol.Any(str, [str]),
-                    vol.Optional('filters', default={}): FILTER_SCHEMA
-                }
-            },
-            vol.Optional('save_clips', default={}): {
-                vol.Optional('enabled', default=False): bool,
-                vol.Optional('pre_capture', default=5): int,
-                vol.Optional('post_capture', default=5): int,
-                'objects': [str],
-                vol.Optional('retain', default={}): SAVE_CLIPS_RETAIN_SCHEMA,
-            },
-            vol.Optional('record', default={}): {
-                'enabled': bool,
-                'retain_days': int,
-            },
-            vol.Optional('rtmp', default={}): {
-                vol.Required('enabled', default=True): bool,
-            },
-            vol.Optional('snapshots', default={}): {
-                vol.Optional('show_timestamp', default=True): bool,
-                vol.Optional('draw_zones', default=False): bool,
-                vol.Optional('draw_bounding_boxes', default=True): bool,
-                vol.Optional('crop_to_region', default=True): bool,
-                vol.Optional('height', default=175): int
-            },
-            'objects': OBJECTS_SCHEMA,
-            vol.Optional('motion', default={}): MOTION_SCHEMA,
-            vol.Optional('detect', default={}): DETECT_SCHEMA
-        }
-    }, vol.Msg(ensure_zones_and_cameras_have_different_names, msg='Zones cannot share names with cameras'))
-)
-
-FRIGATE_CONFIG_SCHEMA = vol.Schema(
-    {
-        vol.Optional('database', default={}): {
-            vol.Optional('path', default=os.path.join(CLIPS_DIR, 'frigate.db')): str
-        },
-        vol.Optional('model', default={'width': 320, 'height': 320}): {
-            vol.Required('width'): int,
-            vol.Required('height'): int
-        },
-        vol.Optional('detectors', default=DEFAULT_DETECTORS): DETECTORS_SCHEMA,
-        'mqtt': MQTT_SCHEMA,
-        vol.Optional('logger', default={'default': 'info', 'logs': {}}): {
-            vol.Optional('default', default='info'): vol.In(['info', 'debug', 'warning', 'error', 'critical']),
-            vol.Optional('logs', default={}): {str: vol.In(['info', 'debug', 'warning', 'error', 'critical']) }
-        },
-        vol.Optional('save_clips', default={}): SAVE_CLIPS_SCHEMA,
-        vol.Optional('record', default={}): {
-            vol.Optional('enabled', default=False): bool,
-            vol.Optional('retain_days', default=30): int,
-        },
-        vol.Optional('ffmpeg', default={}): GLOBAL_FFMPEG_SCHEMA,
-        vol.Optional('objects', default={}): OBJECTS_SCHEMA,
-        vol.Optional('motion', default={}): MOTION_SCHEMA,
-        vol.Optional('detect', default={}): DETECT_SCHEMA,
-        vol.Required('cameras', default={}): CAMERAS_SCHEMA
-    }
-)
-
-class DatabaseConfig():
-    def __init__(self, config):
-        self._path = config['path']
-
-    @property
-    def path(self):
-        return self._path
-    
-    def to_dict(self):
-        return {
-            'path': self.path
-        }
-
-class ModelConfig():
-    def __init__(self, config):
-        self._width = config['width']
-        self._height = config['height']
-    
-    @property
-    def width(self):
-        return self._width
-    
-    @property
-    def height(self):
-        return self._height
-    
-    def to_dict(self):
-        return {
-            'width': self.width,
-            'height': self.height
-        }
-
-class DetectorConfig():
-    def __init__(self, config):
-        self._type = config['type']
-        self._device = config['device']
-        self._num_threads = config['num_threads']
-    
-    @property
-    def type(self):
-        return self._type
-    
-    @property
-    def device(self):
-        return self._device
-    
-    @property
-    def num_threads(self):
-        return self._num_threads
-    
-    def to_dict(self):
-        return {
-            'type': self.type,
-            'device': self.device,
-            'num_threads': self.num_threads
-        }
-
-class LoggerConfig():
-    def __init__(self, config):
-        self._default = config['default'].upper()
-        self._logs = {k: v.upper() for k, v in config['logs'].items()}
-    
-    @property
-    def default(self):
-        return self._default
-    
-    @property
-    def logs(self):
-        return self._logs
-    
-    def to_dict(self):
-        return {
-            'default': self.default,
-            'logs': self.logs
-        }
-
-class MqttConfig():
-    def __init__(self, config):
-        self._host = config['host']
-        self._port = config['port']
-        self._topic_prefix = config['topic_prefix']
-        self._client_id = config['client_id']
-        self._user = config.get('user')
-        self._password = config.get('password')
-    
-    @property
-    def host(self):
-        return self._host
-    
-    @property
-    def port(self):
-        return self._port
-    
-    @property
-    def topic_prefix(self):
-        return self._topic_prefix
-    
-    @property
-    def client_id(self):
-        return self._client_id
-    
-    @property
-    def user(self):
-        return self._user
-    
-    @property
-    def password(self):
-        return self._password
-
-    def to_dict(self):
-        return {
-            'host': self.host,
-            'port': self.port,
-            'topic_prefix': self.topic_prefix,
-            'client_id': self.client_id,
-            'user': self.user
-        }
-
-class CameraInput():
-    def __init__(self, global_config, ffmpeg_input):
-        self._path = ffmpeg_input['path']
-        self._roles = ffmpeg_input['roles']
-        self._global_args = ffmpeg_input.get('global_args', global_config['global_args'])
-        self._hwaccel_args = ffmpeg_input.get('hwaccel_args', global_config['hwaccel_args'])
-        self._input_args = ffmpeg_input.get('input_args', global_config['input_args'])
-    
-    @property
-    def path(self):
-        return self._path
-    
-    @property
-    def roles(self):
-        return self._roles
-    
-    @property
-    def global_args(self):
-        return self._global_args if isinstance(self._global_args, list) else self._global_args.split(' ')
-    
-    @property
-    def hwaccel_args(self):
-        return self._hwaccel_args if isinstance(self._hwaccel_args, list) else self._hwaccel_args.split(' ')
-
-    @property
-    def input_args(self):
-        return self._input_args if isinstance(self._input_args, list) else self._input_args.split(' ')
-
-class CameraFfmpegConfig():
-    def __init__(self, global_config, config):
-        self._inputs = [CameraInput(global_config, i) for i in config['inputs']]
-        self._output_args = config.get('output_args', global_config['output_args'])
-    
-    @property
-    def inputs(self):
-        return self._inputs
-    
-    @property
-    def output_args(self):
-        return {k: v if isinstance(v, list) else v.split(' ') for k, v in self._output_args.items()}
-
-class SaveClipsRetainConfig():
-    def __init__(self, global_config, config):
-        self._default = config.get('default', global_config.get('default'))
-        self._objects = config.get('objects', global_config.get('objects', {}))
-    
-    @property
-    def default(self):
-        return self._default
-    
-    @property
-    def objects(self):
-        return self._objects
-    
-    def to_dict(self):
-        return {
-            'default': self.default,
-            'objects': self.objects
-        }
-
-class SaveClipsConfig():
-    def __init__(self, config):
-        self._max_seconds = config['max_seconds']
-        self._tmpfs_cache_size = config.get('tmpfs_cache_size', '').strip()
-        self._retain = SaveClipsRetainConfig(config['retain'], config['retain'])
-    
-    @property
-    def max_seconds(self):
-        return self._max_seconds
-    
-    @property
-    def tmpfs_cache_size(self):
-        return self._tmpfs_cache_size
-
-    @property
-    def retain(self):
-        return self._retain
-    
-    def to_dict(self):
-        return {
-            'max_seconds': self.max_seconds,
-            'tmpfs_cache_size': self.tmpfs_cache_size,
-            'retain': self.retain.to_dict()
-        }
-
-class RecordConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config.get('enabled', global_config['enabled'])
-        self._retain_days = config.get('retain_days', global_config['retain_days'])
-
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    @property
-    def retain_days(self):
-        return self._retain_days
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-            'retain_days': self.retain_days,
-        }
-
-class FilterConfig():
-    def __init__(self, config):
-        self._min_area = config['min_area']
-        self._max_area = config['max_area']
-        self._threshold = config['threshold']
-        self._min_score = config.get('min_score')
-    
-    @property
-    def min_area(self):
-        return self._min_area
-
-    @property
-    def max_area(self):
-        return self._max_area
-
-    @property
-    def threshold(self):
-        return self._threshold
-    
-    @property
-    def min_score(self):
-        return self._min_score
-    
-    def to_dict(self):
-        return {
-            'min_area': self.min_area,
-            'max_area': self.max_area,
-            'threshold': self.threshold,
-            'min_score': self.min_score
-        }
-
-class ObjectConfig():
-    def __init__(self, global_config, config):
-        self._track = config.get('track', global_config['track'])
-        if 'filters' in config:
-            self._filters = { name: FilterConfig(c) for name, c in config['filters'].items() }
-        else:
-            self._filters = { name: FilterConfig(c) for name, c in global_config['filters'].items() }
-    
-    @property
-    def track(self):
-        return self._track
-    
-    @property
-    def filters(self) -> Dict[str, FilterConfig]:
-        return self._filters
-
-    def to_dict(self):
-        return {
-            'track': self.track,
-            'filters': { k: f.to_dict() for k, f in self.filters.items() }
-        }
-
-class CameraSnapshotsConfig():
-    def __init__(self, config):
-        self._show_timestamp = config['show_timestamp']
-        self._draw_zones = config['draw_zones']
-        self._draw_bounding_boxes = config['draw_bounding_boxes']
-        self._crop_to_region = config['crop_to_region']
-        self._height = config.get('height')
-    
-    @property
-    def show_timestamp(self):
-        return self._show_timestamp
-    
-    @property
-    def draw_zones(self):
-        return self._draw_zones
-
-    @property
-    def draw_bounding_boxes(self):
-        return self._draw_bounding_boxes
-
-    @property
-    def crop_to_region(self):
-        return self._crop_to_region
-
-    @property
-    def height(self):
-        return self._height
-    
-    def to_dict(self):
-        return {
-            'show_timestamp': self.show_timestamp,
-            'draw_zones': self.draw_zones,
-            'draw_bounding_boxes': self.draw_bounding_boxes,
-            'crop_to_region': self.crop_to_region,
-            'height': self.height
-        }
-
-class CameraSaveClipsConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config['enabled']
-        self._pre_capture = config['pre_capture']
-        self._post_capture = config['post_capture']
-        self._objects = config.get('objects', global_config['objects']['track'])
-        self._retain = SaveClipsRetainConfig(global_config['save_clips']['retain'], config['retain'])
-    
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    @property
-    def pre_capture(self):
-        return self._pre_capture
-    
-    @property
-    def post_capture(self):
-        return self._post_capture
-
-    @property
-    def objects(self):
-        return self._objects
-    
-    @property
-    def retain(self):
-        return self._retain
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-            'pre_capture': self.pre_capture,
-            'post_capture': self.post_capture,
-            'objects': self.objects,
-            'retain': self.retain.to_dict()
-        }
-
-class CameraRtmpConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config['enabled']
-    
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-        }
-
-class MotionConfig():
-    def __init__(self, global_config, config, camera_height: int):
-        self._threshold = config.get('threshold', global_config.get('threshold', 25))
-        self._contour_area = config.get('contour_area', global_config.get('contour_area', 100))
-        self._delta_alpha = config.get('delta_alpha', global_config.get('delta_alpha', 0.2))
-        self._frame_alpha = config.get('frame_alpha', global_config.get('frame_alpha', 0.2))
-        self._frame_height = config.get('frame_height', global_config.get('frame_height', camera_height//6))
-    
-    @property
-    def threshold(self):
-        return self._threshold
-
-    @property
-    def contour_area(self):
-        return self._contour_area
-
-    @property
-    def delta_alpha(self):
-        return self._delta_alpha
-
-    @property
-    def frame_alpha(self):
-        return self._frame_alpha
-
-    @property
-    def frame_height(self):
-        return self._frame_height
-    
-    def to_dict(self):
-        return {
-            'threshold': self.threshold,
-            'contour_area': self.contour_area,
-            'delta_alpha': self.delta_alpha,
-            'frame_alpha': self.frame_alpha,
-            'frame_height': self.frame_height,
-        }
-
-
-
-class DetectConfig():
-    def __init__(self, global_config, config, camera_fps):
-        self._max_disappeared = config.get('max_disappeared', global_config.get('max_disappeared', camera_fps*2))
-    
-    @property
-    def max_disappeared(self):
-        return self._max_disappeared
-    
-    def to_dict(self):
-        return {
-            'max_disappeared': self._max_disappeared,
-        }
-
-class ZoneConfig():
-    def __init__(self, name, config):
-        self._coordinates = config['coordinates']
-        self._filters = { name: FilterConfig(c) for name, c in config['filters'].items() }
-
-        if isinstance(self._coordinates, list):
-            self._contour =  np.array([[int(p.split(',')[0]), int(p.split(',')[1])] for p in self._coordinates])
-        elif isinstance(self._coordinates, str):
-            points = self._coordinates.split(',')
-            self._contour =  np.array([[int(points[i]), int(points[i+1])] for i in range(0, len(points), 2)])
-        else:
-            print(f"Unable to parse zone coordinates for {name}")
-            self._contour = np.array([])
-        
-        self._color = (0,0,0)
-    
-    @property
-    def coordinates(self):
-        return self._coordinates
-    
-    @property
-    def contour(self):
-        return self._contour
-    
-    @contour.setter
-    def contour(self, val):
-        self._contour = val
-    
-    @property
-    def color(self):
-        return self._color
-    
-    @color.setter
-    def color(self, val):
-        self._color = val
-    
-    @property
-    def filters(self):
-        return self._filters
-    
-    def to_dict(self):
-        return {
-            'filters': {k: f.to_dict() for k, f in self.filters.items()}
-        }
-
-class CameraConfig():
-    def __init__(self, name, config, global_config):
-        self._name = name
-        self._ffmpeg = CameraFfmpegConfig(global_config['ffmpeg'], config['ffmpeg'])
-        self._height = config.get('height')
-        self._width = config.get('width')
-        self._frame_shape = (self._height, self._width)
-        self._frame_shape_yuv = (self._frame_shape[0]*3//2, self._frame_shape[1])
-        self._fps = config.get('fps')
-        self._mask = self._create_mask(config.get('mask'))
-        self._best_image_timeout = config['best_image_timeout']
-        self._zones = { name: ZoneConfig(name, z) for name, z in config['zones'].items() }
-        self._save_clips = CameraSaveClipsConfig(global_config, config['save_clips'])
-        self._record = RecordConfig(global_config['record'], config['record'])
-        self._rtmp = CameraRtmpConfig(global_config, config['rtmp'])
-        self._snapshots = CameraSnapshotsConfig(config['snapshots'])
-        self._objects = ObjectConfig(global_config['objects'], config.get('objects', {}))
-        self._motion = MotionConfig(global_config['motion'], config['motion'], self._height)
-        self._detect = DetectConfig(global_config['detect'], config['detect'], config.get('fps', 5))
-
-        self._ffmpeg_cmds = []
-        for ffmpeg_input in self._ffmpeg.inputs:
-            ffmpeg_cmd = self._get_ffmpeg_cmd(ffmpeg_input)
-            if ffmpeg_cmd is None:
-                continue
-
-            self._ffmpeg_cmds.append({
-                'roles': ffmpeg_input.roles,
-                'cmd': ffmpeg_cmd
-            })
-
-
-        self._set_zone_colors(self._zones)
-
-    def _create_mask(self, mask):
-        mask_img = np.zeros(self.frame_shape, np.uint8)
-        mask_img[:] = 255
-
-        if isinstance(mask, list):
-            for m in mask:
-                self._add_mask(m, mask_img)
-
-        elif isinstance(mask, str):
-            self._add_mask(mask, mask_img)
-        
-        return mask_img
-    
-    def _add_mask(self, mask, mask_img):
-        if mask.startswith('poly,'):
-            points = mask.split(',')[1:]
-            contour =  np.array([[int(points[i]), int(points[i+1])] for i in range(0, len(points), 2)])
-            cv2.fillPoly(mask_img, pts=[contour], color=(0))
-        else:
-            mask_file = cv2.imread(f"/config/{mask}", cv2.IMREAD_GRAYSCALE)
-            if mask_file is None or mask_file.size == 0:
-                logger.warning(f"Could not read mask file {mask}")
-            else:
-                mask_img[np.where(mask_file==[0])] = [0]
-    
-    def _get_ffmpeg_cmd(self, ffmpeg_input):
-        ffmpeg_output_args = []
-        if 'detect' in ffmpeg_input.roles:
-            ffmpeg_output_args = self.ffmpeg.output_args['detect'] + ffmpeg_output_args + ['pipe:']
-            if self.fps:
-                ffmpeg_output_args = ["-r", str(self.fps)] + ffmpeg_output_args
-        if 'rtmp' in ffmpeg_input.roles and self.rtmp.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['rtmp'] + [
-                f"rtmp://127.0.0.1/live/{self.name}"
-            ] + ffmpeg_output_args
-        if 'clips' in ffmpeg_input.roles and self.save_clips.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['clips'] + [
-                f"{os.path.join(CACHE_DIR, self.name)}-%Y%m%d%H%M%S.mp4"
-            ] + ffmpeg_output_args
-        if 'record' in ffmpeg_input.roles and self.record.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['record'] + [
-                f"{os.path.join(RECORD_DIR, self.name)}-%Y%m%d%H%M%S.mp4"
-            ] + ffmpeg_output_args
-        
-        # if there arent any outputs enabled for this input
-        if len(ffmpeg_output_args) == 0:
-            return None
-
-        cmd = (['ffmpeg'] +
-                ffmpeg_input.global_args +
-                ffmpeg_input.hwaccel_args +
-                ffmpeg_input.input_args +
-                ['-i', ffmpeg_input.path] +
-                ffmpeg_output_args)
-        
-        return [part for part in cmd if part != '']
-    
-    def _set_zone_colors(self, zones: Dict[str, ZoneConfig]):
-        # set colors for zones
-        all_zone_names = zones.keys()
-        zone_colors = {}
-        colors = plt.cm.get_cmap('tab10', len(all_zone_names))
-        for i, zone in enumerate(all_zone_names):
-            zone_colors[zone] = tuple(int(round(255 * c)) for c in colors(i)[:3])
-        
-        for name, zone in zones.items():
-            zone.color = zone_colors[name]
-    
-    @property
-    def name(self):
-        return self._name
-
-    @property
-    def ffmpeg(self):
-        return self._ffmpeg
-    
-    @property
-    def height(self):
-        return self._height
-    
-    @property
-    def width(self):
-        return self._width
-    
-    @property
-    def fps(self):
-        return self._fps
-    
-    @property
-    def mask(self):
-        return self._mask
-    
-    @property
-    def best_image_timeout(self):
-        return self._best_image_timeout
-    
-    @property
-    def zones(self)-> Dict[str, ZoneConfig]:
-        return self._zones
-    
-    @property
-    def save_clips(self):
-        return self._save_clips
-    
-    @property
-    def record(self):
-        return self._record
-    
-    @property
-    def rtmp(self):
-        return self._rtmp
-    
-    @property
-    def snapshots(self):
-        return self._snapshots
-    
-    @property
-    def objects(self):
-        return self._objects
-    
-    @property
-    def motion(self):
-        return self._motion
-    
-    @property
-    def detect(self):
-        return self._detect
-
-    @property
-    def frame_shape(self):
-        return self._frame_shape
-
-    @property
-    def frame_shape_yuv(self):
-        return self._frame_shape_yuv
-
-    @property
-    def ffmpeg_cmds(self):
-        return self._ffmpeg_cmds
-
-    def to_dict(self):
-        return {
-            'name': self.name,
-            'height': self.height,
-            'width': self.width,
-            'fps': self.fps,
-            'best_image_timeout': self.best_image_timeout,
-            'zones': {k: z.to_dict() for k, z in self.zones.items()},
-            'save_clips': self.save_clips.to_dict(),
-            'record': self.record.to_dict(),
-            'rtmp': self.rtmp.to_dict(),
-            'snapshots': self.snapshots.to_dict(),
-            'objects': self.objects.to_dict(),
-            'motion': self.motion.to_dict(),
-            'detect': self.detect.to_dict(),
-            'frame_shape': self.frame_shape,
-            'ffmpeg_cmds': [{'roles': c['roles'], 'cmd': ' '.join(c['cmd'])} for c in self.ffmpeg_cmds],
-        }
-
-
-class FrigateConfig():
-    def __init__(self, config_file=None, config=None):
-        if config is None and config_file is None:
-            raise ValueError('config or config_file must be defined')
-        elif not config_file is None:
-            config = self._load_file(config_file)
-        
-        config = FRIGATE_CONFIG_SCHEMA(config)
-
-        config = self._sub_env_vars(config)
-
-        self._database = DatabaseConfig(config['database'])
-        self._model = ModelConfig(config['model'])
-        self._detectors = { name: DetectorConfig(d) for name, d in config['detectors'].items() }
-        self._mqtt = MqttConfig(config['mqtt'])
-        self._save_clips = SaveClipsConfig(config['save_clips'])
-        self._cameras = { name: CameraConfig(name, c, config) for name, c in config['cameras'].items() }
-        self._logger = LoggerConfig(config['logger'])
-
-    def _sub_env_vars(self, config):
-        frigate_env_vars = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
-
-        if 'password' in config['mqtt']:
-            config['mqtt']['password'] = config['mqtt']['password'].format(**frigate_env_vars) 
-        
-        for camera in config['cameras'].values():
-            for i in camera['ffmpeg']['inputs']:
-                i['path'] = i['path'].format(**frigate_env_vars)
-        
-        return config
-
-    def _load_file(self, config_file):
-        with open(config_file) as f:
-            raw_config = f.read()
-        
-        if config_file.endswith(".yml"):    
-            config = yaml.safe_load(raw_config)
-        elif config_file.endswith(".json"):
-            config = json.loads(raw_config)
-        
-        return config
-    
-    def to_dict(self):
-        return {
-            'database': self.database.to_dict(),
-            'model': self.model.to_dict(),
-            'detectors': {k: d.to_dict() for k, d in self.detectors.items()},
-            'mqtt': self.mqtt.to_dict(),
-            'save_clips': self.save_clips.to_dict(),
-            'cameras': {k: c.to_dict() for k, c in self.cameras.items()},
-            'logger': self.logger.to_dict()
-        }
-    
-    @property
-    def database(self):
-        return self._database
-    
-    @property
-    def model(self):
-        return self._model
-    
-    @property
-    def detectors(self) -> Dict[str, DetectorConfig]:
-        return self._detectors
-    
-    @property
-    def logger(self):
-        return self._logger
-
-    @property
-    def mqtt(self):
-        return self._mqtt
-    
-    @property
-    def save_clips(self):
-        return self._save_clips
-
-    @property
-    def cameras(self) -> Dict[str, CameraConfig]:
-        return self._cameras
@@ -1,3 +0,0 @@
-CLIPS_DIR = '/media/frigate/clips'
-RECORD_DIR = '/media/frigate/recordings'
-CACHE_DIR = '/tmp/cache'
@@ -1,225 +0,0 @@
-import datetime
-import hashlib
-import logging
-import multiprocessing as mp
-import os
-import queue
-import threading
-import signal
-from abc import ABC, abstractmethod
-from multiprocessing.connection import Connection
-from typing import Dict
-
-import numpy as np
-import tflite_runtime.interpreter as tflite
-from tflite_runtime.interpreter import load_delegate
-
-from frigate.util import EventsPerSecond, SharedMemoryFrameManager, listen
-
-logger = logging.getLogger(__name__)
-
-def load_labels(path, encoding='utf-8'):
-  """Loads labels from file (with or without index numbers).
-  Args:
-    path: path to label file.
-    encoding: label file encoding.
-  Returns:
-    Dictionary mapping indices to labels.
-  """
-  with open(path, 'r', encoding=encoding) as f:
-    lines = f.readlines()
-    if not lines:
-        return {}
-
-    if lines[0].split(' ', maxsplit=1)[0].isdigit():
-        pairs = [line.split(' ', maxsplit=1) for line in lines]
-        return {int(index): label.strip() for index, label in pairs}
-    else:
-        return {index: line.strip() for index, line in enumerate(lines)}
-
-class ObjectDetector(ABC):
-    @abstractmethod
-    def detect(self, tensor_input, threshold = .4):
-        pass
-
-class LocalObjectDetector(ObjectDetector):
-    def __init__(self, tf_device=None, num_threads=3, labels=None):
-        self.fps = EventsPerSecond()
-        if labels is None:
-            self.labels = {}
-        else:
-            self.labels = load_labels(labels)
-
-        device_config = {"device": "usb"}
-        if not tf_device is None:
-            device_config = {"device": tf_device}
-
-        edge_tpu_delegate = None
-
-        if tf_device != 'cpu':
-            try:
-                logger.info(f"Attempting to load TPU as {device_config['device']}")
-                edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', device_config)
-                logger.info("TPU found")
-            except ValueError:
-                logger.info("No EdgeTPU detected. Falling back to CPU.")
-        
-        if edge_tpu_delegate is None:
-            self.interpreter = tflite.Interpreter(
-                model_path='/cpu_model.tflite', num_threads=num_threads)
-        else:
-            self.interpreter = tflite.Interpreter(
-                model_path='/edgetpu_model.tflite',
-                experimental_delegates=[edge_tpu_delegate])
-        
-        self.interpreter.allocate_tensors()
-
-        self.tensor_input_details = self.interpreter.get_input_details()
-        self.tensor_output_details = self.interpreter.get_output_details()
-    
-    def detect(self, tensor_input, threshold=.4):
-        detections = []
-
-        raw_detections = self.detect_raw(tensor_input)
-
-        for d in raw_detections:
-            if d[1] < threshold:
-                break
-            detections.append((
-                self.labels[int(d[0])],
-                float(d[1]),
-                (d[2], d[3], d[4], d[5])
-            ))
-        self.fps.update()
-        return detections
-
-    def detect_raw(self, tensor_input):
-        self.interpreter.set_tensor(self.tensor_input_details[0]['index'], tensor_input)
-        self.interpreter.invoke()
-        boxes = np.squeeze(self.interpreter.get_tensor(self.tensor_output_details[0]['index']))
-        label_codes = np.squeeze(self.interpreter.get_tensor(self.tensor_output_details[1]['index']))
-        scores = np.squeeze(self.interpreter.get_tensor(self.tensor_output_details[2]['index']))
-
-        detections = np.zeros((20,6), np.float32)
-        for i, score in enumerate(scores):
-            detections[i] = [label_codes[i], score, boxes[i][0], boxes[i][1], boxes[i][2], boxes[i][3]]
-        
-        return detections
-
-def run_detector(name: str, detection_queue: mp.Queue, out_events: Dict[str, mp.Event], avg_speed, start, model_shape, tf_device, num_threads):
-    threading.current_thread().name = f"detector:{name}"
-    logger = logging.getLogger(f"detector.{name}")
-    logger.info(f"Starting detection process: {os.getpid()}")
-    listen()
-
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    frame_manager = SharedMemoryFrameManager()
-    object_detector = LocalObjectDetector(tf_device=tf_device, num_threads=num_threads)
-
-    outputs = {}
-    for name in out_events.keys():
-        out_shm = mp.shared_memory.SharedMemory(name=f"out-{name}", create=False)
-        out_np = np.ndarray((20,6), dtype=np.float32, buffer=out_shm.buf)
-        outputs[name] = {
-            'shm': out_shm,
-            'np': out_np
-        }
-    
-    while True:
-        if stop_event.is_set():
-            break
-
-        try:
-            connection_id = detection_queue.get(timeout=5)
-        except queue.Empty:
-            continue
-        input_frame = frame_manager.get(connection_id, (1,model_shape[0],model_shape[1],3))
-
-        if input_frame is None:
-            continue
-
-        # detect and send the output
-        start.value = datetime.datetime.now().timestamp()
-        detections = object_detector.detect_raw(input_frame)
-        duration = datetime.datetime.now().timestamp()-start.value
-        outputs[connection_id]['np'][:] = detections[:]
-        out_events[connection_id].set()
-        start.value = 0.0
-
-        avg_speed.value = (avg_speed.value*9 + duration)/10
-        
-class EdgeTPUProcess():
-    def __init__(self, name, detection_queue, out_events, model_shape, tf_device=None, num_threads=3):
-        self.name = name
-        self.out_events = out_events
-        self.detection_queue = detection_queue
-        self.avg_inference_speed = mp.Value('d', 0.01)
-        self.detection_start = mp.Value('d', 0.0)
-        self.detect_process = None
-        self.model_shape = model_shape
-        self.tf_device = tf_device
-        self.num_threads = num_threads
-        self.start_or_restart()
-    
-    def stop(self):
-        self.detect_process.terminate()
-        logging.info("Waiting for detection process to exit gracefully...")
-        self.detect_process.join(timeout=30)
-        if self.detect_process.exitcode is None:
-            logging.info("Detection process didnt exit. Force killing...")
-            self.detect_process.kill()
-            self.detect_process.join()
-
-    def start_or_restart(self):
-        self.detection_start.value = 0.0
-        if (not self.detect_process is None) and self.detect_process.is_alive():
-            self.stop()
-        self.detect_process = mp.Process(target=run_detector, name=f"detector:{self.name}", args=(self.name, self.detection_queue, self.out_events, self.avg_inference_speed, self.detection_start, self.model_shape, self.tf_device, self.num_threads))
-        self.detect_process.daemon = True
-        self.detect_process.start()
-
-class RemoteObjectDetector():
-    def __init__(self, name, labels, detection_queue, event, model_shape):
-        self.labels = load_labels(labels)
-        self.name = name
-        self.fps = EventsPerSecond()
-        self.detection_queue = detection_queue
-        self.event = event
-        self.shm = mp.shared_memory.SharedMemory(name=self.name, create=False)
-        self.np_shm = np.ndarray((1,model_shape[0],model_shape[1],3), dtype=np.uint8, buffer=self.shm.buf)
-        self.out_shm = mp.shared_memory.SharedMemory(name=f"out-{self.name}", create=False)
-        self.out_np_shm = np.ndarray((20,6), dtype=np.float32, buffer=self.out_shm.buf)
-    
-    def detect(self, tensor_input, threshold=.4):
-        detections = []
-
-        # copy input to shared memory
-        self.np_shm[:] = tensor_input[:]
-        self.event.clear()
-        self.detection_queue.put(self.name)
-        result = self.event.wait(timeout=10.0)
-
-        # if it timed out
-        if result is None:
-            return detections
-
-        for d in self.out_np_shm:
-            if d[1] < threshold:
-                break
-            detections.append((
-                self.labels[int(d[0])],
-                float(d[1]),
-                (d[2], d[3], d[4], d[5])
-            ))
-        self.fps.update()
-        return detections
-    
-    def cleanup(self):
-        self.shm.unlink()
-        self.out_shm.unlink()
@@ -1,289 +0,0 @@
-import datetime
-import json
-import logging
-import os
-import queue
-import subprocess as sp
-import threading
-import time
-from collections import defaultdict
-from pathlib import Path
-
-import psutil
-
-from frigate.config import FrigateConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-from frigate.models import Event
-
-from peewee import fn
-
-logger = logging.getLogger(__name__)
-
-class EventProcessor(threading.Thread):
-    def __init__(self, config, camera_processes, event_queue, event_processed_queue, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'event_processor'
-        self.config = config
-        self.camera_processes = camera_processes
-        self.cached_clips = {}
-        self.event_queue = event_queue
-        self.event_processed_queue = event_processed_queue
-        self.events_in_process = {}
-        self.stop_event = stop_event
-    
-    def refresh_cache(self):
-        cached_files = os.listdir(CACHE_DIR)
-
-        files_in_use = []
-        for process in psutil.process_iter():
-            try:
-                if process.name() != 'ffmpeg':
-                    continue
-
-                flist = process.open_files()
-                if flist:
-                    for nt in flist:
-                        if nt.path.startswith(CACHE_DIR):
-                            files_in_use.append(nt.path.split('/')[-1])
-            except:
-                continue
-
-        for f in cached_files:
-            if f in files_in_use or f in self.cached_clips:
-                continue
-
-            camera = '-'.join(f.split('-')[:-1])
-            start_time = datetime.datetime.strptime(f.split('-')[-1].split('.')[0], '%Y%m%d%H%M%S')
-        
-            ffprobe_cmd = " ".join([
-                'ffprobe',
-                '-v',
-                'error',
-                '-show_entries',
-                'format=duration',
-                '-of',
-                'default=noprint_wrappers=1:nokey=1',
-                f"{os.path.join(CACHE_DIR,f)}"
-            ])
-            p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
-            (output, err) = p.communicate()
-            p_status = p.wait()
-            if p_status == 0:
-                duration = float(output.decode('utf-8').strip())
-            else:
-                logger.info(f"bad file: {f}")
-                os.remove(os.path.join(CACHE_DIR,f))
-                continue
-
-            self.cached_clips[f] = {
-                'path': f,
-                'camera': camera,
-                'start_time': start_time.timestamp(),
-                'duration': duration
-            }
-
-        if len(self.events_in_process) > 0:
-            earliest_event = min(self.events_in_process.values(), key=lambda x:x['start_time'])['start_time']
-        else:
-            earliest_event = datetime.datetime.now().timestamp()
-
-        # if the earliest event exceeds the max seconds, cap it
-        max_seconds = self.config.save_clips.max_seconds
-        if datetime.datetime.now().timestamp()-earliest_event > max_seconds:
-            earliest_event = datetime.datetime.now().timestamp()-max_seconds
-        
-        for f, data in list(self.cached_clips.items()):
-            if earliest_event-90 > data['start_time']+data['duration']:
-                del self.cached_clips[f]
-                os.remove(os.path.join(CACHE_DIR,f))
-
-    def create_clip(self, camera, event_data, pre_capture, post_capture):
-        # get all clips from the camera with the event sorted
-        sorted_clips = sorted([c for c in self.cached_clips.values() if c['camera'] == camera], key = lambda i: i['start_time'])
-
-        while len(sorted_clips) == 0 or sorted_clips[-1]['start_time'] + sorted_clips[-1]['duration'] < event_data['end_time']+post_capture:
-            time.sleep(5)
-            self.refresh_cache()
-            # get all clips from the camera with the event sorted
-            sorted_clips = sorted([c for c in self.cached_clips.values() if c['camera'] == camera], key = lambda i: i['start_time'])
-        
-        playlist_start = event_data['start_time']-pre_capture
-        playlist_end = event_data['end_time']+post_capture
-        playlist_lines = []
-        for clip in sorted_clips:
-            # clip ends before playlist start time, skip
-            if clip['start_time']+clip['duration'] < playlist_start:
-                continue
-            # clip starts after playlist ends, finish
-            if clip['start_time'] > playlist_end:
-                break
-            playlist_lines.append(f"file '{os.path.join(CACHE_DIR,clip['path'])}'")
-            # if this is the starting clip, add an inpoint
-            if clip['start_time'] < playlist_start:
-                playlist_lines.append(f"inpoint {int(playlist_start-clip['start_time'])}")
-            # if this is the ending clip, add an outpoint
-            if clip['start_time']+clip['duration'] > playlist_end:
-                playlist_lines.append(f"outpoint {int(playlist_end-clip['start_time'])}")
-
-        clip_name = f"{camera}-{event_data['id']}"
-        ffmpeg_cmd = [
-            'ffmpeg',
-            '-y',
-            '-protocol_whitelist',
-            'pipe,file',
-            '-f',
-            'concat',
-            '-safe',
-            '0',
-            '-i',
-            '-',
-            '-c',
-            'copy',
-            '-movflags',
-            '+faststart',
-            f"{os.path.join(CLIPS_DIR, clip_name)}.mp4"
-        ]
-
-        p = sp.run(ffmpeg_cmd, input="\n".join(playlist_lines), encoding='ascii', capture_output=True)
-        if p.returncode != 0:
-            logger.error(p.stderr)
-            return
-
-    def run(self):
-        while True:
-            if self.stop_event.is_set():
-                logger.info(f"Exiting event processor...")
-                break
-
-            try:
-                event_type, camera, event_data = self.event_queue.get(timeout=10)
-            except queue.Empty:
-                if not self.stop_event.is_set():
-                    self.refresh_cache()
-                continue
-
-            self.refresh_cache()
-
-            save_clips_config = self.config.cameras[camera].save_clips
-
-            # if save clips is not enabled for this camera, just continue
-            if not save_clips_config.enabled:
-                if event_type == 'end':
-                    self.event_processed_queue.put((event_data['id'], camera))
-                continue
-
-            # if specific objects are listed for this camera, only save clips for them
-            if not event_data['label'] in save_clips_config.objects:
-                if event_type == 'end':
-                    self.event_processed_queue.put((event_data['id'], camera))
-                continue
-
-            if event_type == 'start':
-                self.events_in_process[event_data['id']] = event_data
-
-            if event_type == 'end':
-                if len(self.cached_clips) > 0 and not event_data['false_positive']:
-                    self.create_clip(camera, event_data, save_clips_config.pre_capture, save_clips_config.post_capture)
-                    Event.create(
-                        id=event_data['id'],
-                        label=event_data['label'],
-                        camera=camera,
-                        start_time=event_data['start_time'],
-                        end_time=event_data['end_time'],
-                        top_score=event_data['top_score'],
-                        false_positive=event_data['false_positive'],
-                        zones=list(event_data['entered_zones']),
-                        thumbnail=event_data['thumbnail']
-                    )
-                del self.events_in_process[event_data['id']]
-                self.event_processed_queue.put((event_data['id'], camera))
-
-class EventCleanup(threading.Thread):
-    def __init__(self, config: FrigateConfig, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'event_cleanup'
-        self.config = config
-        self.stop_event = stop_event
-
-    def run(self):
-        counter = 0
-        while(True):
-            if self.stop_event.is_set():
-                logger.info(f"Exiting event cleanup...")
-                break
-
-            # only expire events every 10 minutes, but check for stop events every 10 seconds
-            time.sleep(10)
-            counter = counter + 1
-            if counter < 60:
-                continue
-            counter = 0
-
-            camera_keys = list(self.config.cameras.keys())
-
-            # Expire events from unlisted cameras based on the global config
-            retain_config = self.config.save_clips.retain
-            
-            distinct_labels = (Event.select(Event.label)
-                        .where(Event.camera.not_in(camera_keys))
-                        .distinct())
-            
-            # loop over object types in db
-            for l in distinct_labels:
-                # get expiration time for this label
-                expire_days = retain_config.objects.get(l.label, retain_config.default)
-                expire_after = (datetime.datetime.now() - datetime.timedelta(days=expire_days)).timestamp()
-                # grab all events after specific time
-                expired_events = (
-                    Event.select()
-                        .where(Event.camera.not_in(camera_keys), 
-                            Event.start_time < expire_after, 
-                            Event.label == l.label)
-                )
-                # delete the grabbed clips from disk
-                for event in expired_events:
-                    clip_name = f"{event.camera}-{event.id}"
-                    clip = Path(f"{os.path.join(CLIPS_DIR, clip_name)}.mp4")
-                    clip.unlink(missing_ok=True)
-                # delete the event for this type from the db
-                delete_query = (
-                    Event.delete()
-                        .where(Event.camera.not_in(camera_keys), 
-                            Event.start_time < expire_after, 
-                            Event.label == l.label)
-                )
-                delete_query.execute()
-
-            # Expire events from cameras based on the camera config
-            for name, camera in self.config.cameras.items():
-                retain_config = camera.save_clips.retain
-                # get distinct objects in database for this camera
-                distinct_labels = (Event.select(Event.label)
-                        .where(Event.camera == name)
-                        .distinct())
-
-                # loop over object types in db
-                for l in distinct_labels:
-                    # get expiration time for this label
-                    expire_days = retain_config.objects.get(l.label, retain_config.default)
-                    expire_after = (datetime.datetime.now() - datetime.timedelta(days=expire_days)).timestamp()
-                    # grab all events after specific time
-                    expired_events = (
-                        Event.select()
-                            .where(Event.camera == name, 
-                                Event.start_time < expire_after, 
-                                Event.label == l.label)
-                    )
-                    # delete the grabbed clips from disk
-                    for event in expired_events:
-                        clip_name = f"{event.camera}-{event.id}"
-                        clip = Path(f"{os.path.join(CLIPS_DIR, clip_name)}.mp4")
-                        clip.unlink(missing_ok=True)
-                    # delete the event for this type from the db
-                    delete_query = (
-                        Event.delete()
-                            .where( Event.camera == name, 
-                                Event.start_time < expire_after, 
-                                Event.label == l.label)
-                    )
-                    delete_query.execute()
@@ -1,269 +0,0 @@
-import base64
-import datetime
-import logging
-import os
-import time
-from functools import reduce
-
-import cv2
-import numpy as np
-from flask import (Blueprint, Flask, Response, current_app, jsonify,
-                   make_response, request)
-from peewee import SqliteDatabase, operator, fn, DoesNotExist
-from playhouse.shortcuts import model_to_dict
-
-from frigate.models import Event
-from frigate.util import calculate_region
-from frigate.version import VERSION
-
-logger = logging.getLogger(__name__)
-
-bp = Blueprint('frigate', __name__)
-
-def create_app(frigate_config, database: SqliteDatabase, camera_metrics, detectors, detected_frames_processor):
-    app = Flask(__name__)
-
-    @app.before_request
-    def _db_connect():
-        database.connect()
-
-    @app.teardown_request
-    def _db_close(exc):
-        if not database.is_closed():
-            database.close()
-
-    app.frigate_config = frigate_config
-    app.camera_metrics = camera_metrics
-    app.detectors = detectors
-    app.detected_frames_processor = detected_frames_processor
-    
-    app.register_blueprint(bp)
-
-    return app
-
-@bp.route('/')
-def is_healthy():
-    return "Frigate is running. Alive and healthy!"
-
-@bp.route('/events/summary')
-def events_summary():
-    groups = (
-        Event
-            .select(
-                Event.camera, 
-                Event.label, 
-                fn.strftime('%Y-%m-%d', fn.datetime(Event.start_time, 'unixepoch', 'localtime')).alias('day'), 
-                Event.zones,
-                fn.COUNT(Event.id).alias('count')
-            )
-            .group_by(
-                Event.camera, 
-                Event.label, 
-                fn.strftime('%Y-%m-%d', fn.datetime(Event.start_time, 'unixepoch', 'localtime')),
-                Event.zones
-            )
-        )
-
-    return jsonify([e for e in groups.dicts()])
-
-@bp.route('/events/<id>')
-def event(id):
-    try:
-        return model_to_dict(Event.get(Event.id == id))
-    except DoesNotExist:
-        return "Event not found", 404
-
-@bp.route('/events/<id>/snapshot.jpg')
-def event_snapshot(id):
-    format = request.args.get('format', 'ios')
-    thumbnail_bytes = None
-    try:
-        event = Event.get(Event.id == id)
-        thumbnail_bytes = base64.b64decode(event.thumbnail)
-    except DoesNotExist:
-        # see if the object is currently being tracked
-        try:
-            for camera_state in current_app.detected_frames_processor.camera_states.values():
-                if id in camera_state.tracked_objects:
-                    tracked_obj = camera_state.tracked_objects.get(id)
-                    if not tracked_obj is None:
-                        thumbnail_bytes = tracked_obj.get_jpg_bytes()
-        except:
-            return "Event not found", 404
-    
-    if thumbnail_bytes is None:
-        return "Event not found", 404
-    
-    # android notifications prefer a 2:1 ratio
-    if format == 'android':
-        jpg_as_np = np.frombuffer(thumbnail_bytes, dtype=np.uint8)
-        img = cv2.imdecode(jpg_as_np, flags=1)
-        thumbnail = cv2.copyMakeBorder(img, 0, 0, int(img.shape[1]*0.5), int(img.shape[1]*0.5), cv2.BORDER_CONSTANT, (0,0,0))
-        ret, jpg = cv2.imencode('.jpg', thumbnail)    
-        thumbnail_bytes = jpg.tobytes()
-    
-    response = make_response(thumbnail_bytes)
-    response.headers['Content-Type'] = 'image/jpg'
-    return response
-
-@bp.route('/events')
-def events():
-    limit = request.args.get('limit', 100)
-    camera = request.args.get('camera')
-    label = request.args.get('label')
-    zone = request.args.get('zone')
-    after = request.args.get('after', type=int)
-    before = request.args.get('before', type=int)
-
-    clauses = []
-    
-    if camera:
-        clauses.append((Event.camera == camera))
-    
-    if label:
-        clauses.append((Event.label == label))
-    
-    if zone:
-        clauses.append((Event.zones.cast('text') % f"*\"{zone}\"*"))
-    
-    if after:
-        clauses.append((Event.start_time >= after))
-    
-    if before:
-        clauses.append((Event.start_time <= before))
-
-    if len(clauses) == 0:
-        clauses.append((1 == 1))
-
-    events =    (Event.select()
-                .where(reduce(operator.and_, clauses))
-                .order_by(Event.start_time.desc())
-                .limit(limit))
-
-    return jsonify([model_to_dict(e) for e in events])
-
-@bp.route('/config')
-def config():
-    return jsonify(current_app.frigate_config.to_dict())
-
-@bp.route('/version')
-def version():
-    return VERSION
-
-@bp.route('/stats')
-def stats():
-    camera_metrics = current_app.camera_metrics
-    stats = {}
-
-    total_detection_fps = 0
-
-    for name, camera_stats in camera_metrics.items():
-        total_detection_fps += camera_stats['detection_fps'].value
-        stats[name] = {
-            'camera_fps': round(camera_stats['camera_fps'].value, 2),
-            'process_fps': round(camera_stats['process_fps'].value, 2),
-            'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
-            'detection_fps': round(camera_stats['detection_fps'].value, 2),
-            'pid': camera_stats['process'].pid,
-            'capture_pid': camera_stats['capture_process'].pid
-        }
-    
-    stats['detectors'] = {}
-    for name, detector in current_app.detectors.items():
-        stats['detectors'][name] = {
-            'inference_speed': round(detector.avg_inference_speed.value*1000, 2),
-            'detection_start': detector.detection_start.value,
-            'pid': detector.detect_process.pid
-        }
-    stats['detection_fps'] = round(total_detection_fps, 2)
-
-    return jsonify(stats)
-
-@bp.route('/<camera_name>/<label>/best.jpg')
-def best(camera_name, label):
-    if camera_name in current_app.frigate_config.cameras:
-        best_object = current_app.detected_frames_processor.get_best(camera_name, label)
-        best_frame = best_object.get('frame')
-        if best_frame is None:
-            best_frame = np.zeros((720,1280,3), np.uint8)
-        else:
-            best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
-        
-        crop = bool(request.args.get('crop', 0, type=int))
-        if crop:
-            box = best_object.get('box', (0,0,300,300))
-            region = calculate_region(best_frame.shape, box[0], box[1], box[2], box[3], 1.1)
-            best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
-        
-        height = int(request.args.get('h', str(best_frame.shape[0])))
-        width = int(height*best_frame.shape[1]/best_frame.shape[0])
-
-        best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-        ret, jpg = cv2.imencode('.jpg', best_frame)
-        response = make_response(jpg.tobytes())
-        response.headers['Content-Type'] = 'image/jpg'
-        return response
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-
-@bp.route('/<camera_name>')
-def mjpeg_feed(camera_name):
-    fps = int(request.args.get('fps', '3'))
-    height = int(request.args.get('h', '360'))
-    draw_options = {
-        'bounding_boxes': request.args.get('bbox', type=int),
-        'timestamp': request.args.get('timestamp', type=int),
-        'zones': request.args.get('zones', type=int),
-        'mask': request.args.get('mask', type=int),
-        'motion_boxes': request.args.get('motion', type=int),
-        'regions': request.args.get('regions', type=int),
-    }
-    if camera_name in current_app.frigate_config.cameras:
-        # return a multipart response
-        return Response(imagestream(current_app.detected_frames_processor, camera_name, fps, height, draw_options),
-                        mimetype='multipart/x-mixed-replace; boundary=frame')
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-
-@bp.route('/<camera_name>/latest.jpg')
-def latest_frame(camera_name):
-    draw_options = {
-        'bounding_boxes': request.args.get('bbox', type=int),
-        'timestamp': request.args.get('timestamp', type=int),
-        'zones': request.args.get('zones', type=int),
-        'mask': request.args.get('mask', type=int),
-        'motion_boxes': request.args.get('motion', type=int),
-        'regions': request.args.get('regions', type=int),
-    }
-    if camera_name in current_app.frigate_config.cameras:
-        # max out at specified FPS
-        frame = current_app.detected_frames_processor.get_current_frame(camera_name, draw_options)
-        if frame is None:
-            frame = np.zeros((720,1280,3), np.uint8)
-
-        height = int(request.args.get('h', str(frame.shape[0])))
-        width = int(height*frame.shape[1]/frame.shape[0])
-
-        frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-
-        ret, jpg = cv2.imencode('.jpg', frame)
-        response = make_response(jpg.tobytes())
-        response.headers['Content-Type'] = 'image/jpg'
-        return response
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-        
-def imagestream(detected_frames_processor, camera_name, fps, height, draw_options):
-    while True:
-        # max out at specified FPS
-        time.sleep(1/fps)
-        frame = detected_frames_processor.get_current_frame(camera_name, draw_options)
-        if frame is None:
-            frame = np.zeros((height,int(height*16/9),3), np.uint8)
-
-        width = int(height*frame.shape[1]/frame.shape[0])
-        frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
-
-        ret, jpg = cv2.imencode('.jpg', frame)
-        yield (b'--frame\r\n'
-            b'Content-Type: image/jpeg\r\n\r\n' + jpg.tobytes() + b'\r\n\r\n')
@@ -1,75 +0,0 @@
-# adapted from https://medium.com/@jonathonbao/python3-logging-with-multiprocessing-f51f460b8778
-import logging
-import threading
-import os
-import signal
-import queue
-import multiprocessing as mp
-from logging import handlers
-
-
-def listener_configurer():
-    root = logging.getLogger()
-    console_handler = logging.StreamHandler()
-    formatter = logging.Formatter('%(name)-30s %(levelname)-8s: %(message)s')
-    console_handler.setFormatter(formatter)
-    root.addHandler(console_handler)
-    root.setLevel(logging.INFO)
-
-def root_configurer(queue):
-    h = handlers.QueueHandler(queue)
-    root = logging.getLogger()
-    root.addHandler(h)
-    root.setLevel(logging.INFO)
-
-def log_process(log_queue):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    threading.current_thread().name = f"logger"
-    listener_configurer()
-    while True:
-        if stop_event.is_set() and log_queue.empty():
-            break
-        try:
-            record = log_queue.get(timeout=5)
-        except queue.Empty:
-            continue
-        logger = logging.getLogger(record.name)
-        logger.handle(record)
-
-# based on https://codereview.stackexchange.com/a/17959
-class LogPipe(threading.Thread):
-    def __init__(self, log_name, level):
-        """Setup the object with a logger and a loglevel
-        and start the thread
-        """
-        threading.Thread.__init__(self)
-        self.daemon = False
-        self.logger = logging.getLogger(log_name)
-        self.level = level
-        self.fdRead, self.fdWrite = os.pipe()
-        self.pipeReader = os.fdopen(self.fdRead)
-        self.start()
-
-    def fileno(self):
-        """Return the write file descriptor of the pipe
-        """
-        return self.fdWrite
-
-    def run(self):
-        """Run the thread, logging everything.
-        """
-        for line in iter(self.pipeReader.readline, ''):
-            self.logger.log(self.level, line.strip('\n'))
-
-        self.pipeReader.close()
-
-    def close(self):
-        """Close the write end of the pipe.
-        """
-        os.close(self.fdWrite)
@@ -1,14 +0,0 @@
-from peewee import *
-from playhouse.sqlite_ext import *
-
-
-class Event(Model):
-    id = CharField(null=False, primary_key=True, max_length=30)
-    label = CharField(index=True, max_length=20)
-    camera = CharField(index=True, max_length=20)
-    start_time = DateTimeField()
-    end_time = DateTimeField()
-    top_score = FloatField()
-    false_positive = BooleanField()
-    zones = JSONField()
-    thumbnail = TextField()
@@ -1,85 +0,0 @@
-import cv2
-import imutils
-import numpy as np
-from frigate.config import MotionConfig
-
-
-class MotionDetector():
-    def __init__(self, frame_shape, mask, config: MotionConfig):
-        self.config = config
-        self.frame_shape = frame_shape
-        self.resize_factor = frame_shape[0]/config.frame_height
-        self.motion_frame_size = (config.frame_height, config.frame_height*frame_shape[1]//frame_shape[0])
-        self.avg_frame = np.zeros(self.motion_frame_size, np.float)
-        self.avg_delta = np.zeros(self.motion_frame_size, np.float)
-        self.motion_frame_count = 0
-        self.frame_counter = 0
-        resized_mask = cv2.resize(mask, dsize=(self.motion_frame_size[1], self.motion_frame_size[0]), interpolation=cv2.INTER_LINEAR)
-        self.mask = np.where(resized_mask==[0])
-
-    def detect(self, frame):
-        motion_boxes = []
-
-        gray = frame[0:self.frame_shape[0], 0:self.frame_shape[1]]
-
-        # resize frame
-        resized_frame = cv2.resize(gray, dsize=(self.motion_frame_size[1], self.motion_frame_size[0]), interpolation=cv2.INTER_LINEAR)
-
-        # TODO: can I improve the contrast of the grayscale image here?
-
-        # convert to grayscale
-        # resized_frame = cv2.cvtColor(resized_frame, cv2.COLOR_BGR2GRAY)
-
-        # mask frame
-        resized_frame[self.mask] = [255]
-
-        # it takes ~30 frames to establish a baseline
-        # dont bother looking for motion
-        if self.frame_counter < 30:
-            self.frame_counter += 1
-        else:
-            # compare to average
-            frameDelta = cv2.absdiff(resized_frame, cv2.convertScaleAbs(self.avg_frame))
-
-            # compute the average delta over the past few frames
-            # 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
-            cv2.accumulateWeighted(frameDelta, self.avg_delta, self.config.delta_alpha)
-
-            # compute the threshold image for the current frame
-            # TODO: threshold
-            current_thresh = cv2.threshold(frameDelta, self.config.threshold, 255, cv2.THRESH_BINARY)[1]
-
-            # black out everything in the avg_delta where there isnt motion in the current frame
-            avg_delta_image = cv2.convertScaleAbs(self.avg_delta)
-            avg_delta_image = cv2.bitwise_and(avg_delta_image, current_thresh)
-
-            # then look for deltas above the threshold, but only in areas where there is a delta
-            # in the current frame. this prevents deltas from previous frames from being included
-            thresh = cv2.threshold(avg_delta_image, self.config.threshold, 255, cv2.THRESH_BINARY)[1]
-
-            # dilate the thresholded image to fill in holes, then find contours
-            # on thresholded image
-            thresh = cv2.dilate(thresh, None, iterations=2)
-            cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-            cnts = imutils.grab_contours(cnts)
-
-            # loop over the contours
-            for c in cnts:
-                # if the contour is big enough, count it as motion
-                contour_area = cv2.contourArea(c)
-                if contour_area > self.config.contour_area:
-                    x, y, w, h = cv2.boundingRect(c)
-                    motion_boxes.append((int(x*self.resize_factor), int(y*self.resize_factor), int((x+w)*self.resize_factor), int((y+h)*self.resize_factor)))
-        
-        if len(motion_boxes) > 0:
-            self.motion_frame_count += 1
-            if self.motion_frame_count >= 10:
-                # only average in the current frame if the difference persists for a bit
-                cv2.accumulateWeighted(resized_frame, self.avg_frame, self.config.frame_alpha)
-        else:
-            # when no motion, just keep averaging the frames together
-            cv2.accumulateWeighted(resized_frame, self.avg_frame, self.config.frame_alpha)
-            self.motion_frame_count = 0
-
-        return motion_boxes
@@ -1,36 +0,0 @@
-import logging
-import threading
-
-import paho.mqtt.client as mqtt
-
-from frigate.config import MqttConfig
-
-logger = logging.getLogger(__name__)
-
-def create_mqtt_client(config: MqttConfig):
-    client = mqtt.Client(client_id=config.client_id)
-    def on_connect(client, userdata, flags, rc):
-        threading.current_thread().name = "mqtt"
-        if rc != 0:
-            if rc == 3:
-                logger.error("MQTT Server unavailable")
-            elif rc == 4:
-                logger.error("MQTT Bad username or password")
-            elif rc == 5:
-                logger.error("MQTT Not authorized")
-            else:
-                logger.error("Unable to connect to MQTT: Connection refused. Error code: " + str(rc))
-            
-        logger.info("MQTT connected")
-        client.publish(config.topic_prefix+'/available', 'online', retain=True)       
-    client.on_connect = on_connect
-    client.will_set(config.topic_prefix+'/available', payload='offline', qos=1, retain=True)
-    if not config.user is None:
-        client.username_pw_set(config.user, password=config.password)
-    try:
-        client.connect(config.host, config.port, 60)
-    except Exception as e:
-        logger.error(f"Unable to connect to MQTT server: {e}")
-        raise
-    client.loop_start()
-    return client
@@ -1,522 +0,0 @@
-import copy
-import base64
-import datetime
-import hashlib
-import itertools
-import json
-import logging
-import os
-import queue
-import threading
-import time
-from collections import Counter, defaultdict
-from statistics import mean, median
-from typing import Callable, Dict
-
-import cv2
-import matplotlib.pyplot as plt
-import numpy as np
-
-from frigate.config import FrigateConfig, CameraConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-from frigate.edgetpu import load_labels
-from frigate.util import SharedMemoryFrameManager, draw_box_with_label, calculate_region
-
-logger = logging.getLogger(__name__)
-
-PATH_TO_LABELS = '/labelmap.txt'
-
-LABELS = load_labels(PATH_TO_LABELS)
-cmap = plt.cm.get_cmap('tab10', len(LABELS.keys()))
-
-COLOR_MAP = {}
-for key, val in LABELS.items():
-    COLOR_MAP[val] = tuple(int(round(255 * c)) for c in cmap(key)[:3])
-
-def on_edge(box, frame_shape):
-    if (
-        box[0] == 0 or
-        box[1] == 0 or
-        box[2] == frame_shape[1]-1 or
-        box[3] == frame_shape[0]-1
-    ):
-        return True
-
-def is_better_thumbnail(current_thumb, new_obj, frame_shape) -> bool:
-    # larger is better
-    # cutoff images are less ideal, but they should also be smaller?
-    # better scores are obviously better too
-
-    # if the new_thumb is on an edge, and the current thumb is not
-    if on_edge(new_obj['box'], frame_shape) and not on_edge(current_thumb['box'], frame_shape):
-        return False
-
-    # if the score is better by more than 5%
-    if new_obj['score'] > current_thumb['score']+.05:
-        return True
-    
-    # if the area is 10% larger
-    if new_obj['area'] > current_thumb['area']*1.1:
-        return True
-    
-    return False
-
-class TrackedObject():
-    def __init__(self, camera, camera_config: CameraConfig, frame_cache, obj_data):
-        self.obj_data = obj_data
-        self.camera = camera
-        self.camera_config = camera_config
-        self.frame_cache = frame_cache
-        self.current_zones = []
-        self.entered_zones = set()
-        self.false_positive = True
-        self.top_score = self.computed_score = 0.0
-        self.thumbnail_data = None
-        self.frame = None
-        self.previous = self.to_dict()
-        self._snapshot_jpg_time = 0
-        ret, jpg = cv2.imencode('.jpg', np.zeros((300,300,3), np.uint8))
-        self._snapshot_jpg = jpg.tobytes()
-
-        # start the score history
-        self.score_history = [self.obj_data['score']]
-
-    def _is_false_positive(self):
-        # once a true positive, always a true positive
-        if not self.false_positive:
-            return False
-
-        threshold = self.camera_config.objects.filters[self.obj_data['label']].threshold
-        if self.computed_score < threshold:
-            return True
-        return False
-
-    def compute_score(self):
-        scores = self.score_history[:]
-        # pad with zeros if you dont have at least 3 scores
-        if len(scores) < 3:
-            scores += [0.0]*(3 - len(scores))
-        return median(scores)
-    
-    def update(self, current_frame_time, obj_data):
-        significant_update = False
-        self.obj_data.update(obj_data)
-        # if the object is not in the current frame, add a 0.0 to the score history
-        if self.obj_data['frame_time'] != current_frame_time:
-            self.score_history.append(0.0)
-        else:
-            self.score_history.append(self.obj_data['score'])
-        # only keep the last 10 scores
-        if len(self.score_history) > 10:
-            self.score_history = self.score_history[-10:]
-
-        # calculate if this is a false positive
-        self.computed_score = self.compute_score()
-        if self.computed_score > self.top_score:
-            self.top_score = self.computed_score
-        self.false_positive = self._is_false_positive()
-
-        if not self.false_positive:
-            # determine if this frame is a better thumbnail
-            if (
-                self.thumbnail_data is None 
-                or is_better_thumbnail(self.thumbnail_data, self.obj_data, self.camera_config.frame_shape)
-            ):
-                self.thumbnail_data = {
-                    'frame_time': self.obj_data['frame_time'],
-                    'box': self.obj_data['box'],
-                    'area': self.obj_data['area'],
-                    'region': self.obj_data['region'],
-                    'score': self.obj_data['score']
-                }
-                significant_update = True
-        
-        # check zones
-        current_zones = []
-        bottom_center = (self.obj_data['centroid'][0], self.obj_data['box'][3])
-        # check each zone
-        for name, zone in self.camera_config.zones.items():
-            contour = zone.contour
-            # check if the object is in the zone
-            if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0):
-                # if the object passed the filters once, dont apply again
-                if name in self.current_zones or not zone_filtered(self, zone.filters):
-                    current_zones.append(name)
-                    self.entered_zones.add(name)
-        
-        # if the zones changed, signal an update
-        if not self.false_positive and set(self.current_zones) != set(current_zones):
-            significant_update = True
-
-        self.current_zones = current_zones
-        return significant_update
-    
-    def to_dict(self, include_thumbnail: bool = False):
-        return {
-            'id': self.obj_data['id'],
-            'camera': self.camera,
-            'frame_time': self.obj_data['frame_time'],
-            'label': self.obj_data['label'],
-            'top_score': self.top_score,
-            'false_positive': self.false_positive,
-            'start_time': self.obj_data['start_time'],
-            'end_time': self.obj_data.get('end_time', None),
-            'score': self.obj_data['score'],
-            'box': self.obj_data['box'],
-            'area': self.obj_data['area'],
-            'region': self.obj_data['region'],
-            'current_zones': self.current_zones.copy(),
-            'entered_zones': list(self.entered_zones).copy(),
-            'thumbnail': base64.b64encode(self.get_jpg_bytes()).decode('utf-8') if include_thumbnail else None
-        }
-    
-    def get_jpg_bytes(self):
-        if self.thumbnail_data is None or self._snapshot_jpg_time == self.thumbnail_data['frame_time']:
-            return self._snapshot_jpg
-        
-        if not self.thumbnail_data['frame_time'] in self.frame_cache:
-            logger.error(f"Unable to create thumbnail for {self.obj_data['id']}")
-            logger.error(f"Looking for frame_time of {self.thumbnail_data['frame_time']}")
-            logger.error(f"Thumbnail frames: {','.join([str(k) for k in self.frame_cache.keys()])}")
-            return self._snapshot_jpg
-
-        # TODO: crop first to avoid converting the entire frame?
-        snapshot_config = self.camera_config.snapshots
-        best_frame = cv2.cvtColor(self.frame_cache[self.thumbnail_data['frame_time']], cv2.COLOR_YUV2BGR_I420)
-
-        if snapshot_config.draw_bounding_boxes:
-            thickness = 2
-            color = COLOR_MAP[self.obj_data['label']]
-            box = self.thumbnail_data['box']
-            draw_box_with_label(best_frame, box[0], box[1], box[2], box[3], self.obj_data['label'], 
-                f"{int(self.thumbnail_data['score']*100)}% {int(self.thumbnail_data['area'])}", thickness=thickness, color=color)
-            
-        if snapshot_config.crop_to_region:
-            box = self.thumbnail_data['box']
-            region = calculate_region(best_frame.shape, box[0], box[1], box[2], box[3], 1.1)
-            best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
-
-        if snapshot_config.height: 
-            height = snapshot_config.height
-            width = int(height*best_frame.shape[1]/best_frame.shape[0])
-            best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-        
-        if snapshot_config.show_timestamp:
-            time_to_show = datetime.datetime.fromtimestamp(self.thumbnail_data['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
-            size = cv2.getTextSize(time_to_show, cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, thickness=2)
-            text_width = size[0][0]
-            desired_size = max(150, 0.33*best_frame.shape[1])
-            font_scale = desired_size/text_width
-            cv2.putText(best_frame, time_to_show, (5, best_frame.shape[0]-7), cv2.FONT_HERSHEY_SIMPLEX, 
-                fontScale=font_scale, color=(255, 255, 255), thickness=2)
-
-        ret, jpg = cv2.imencode('.jpg', best_frame)
-        if ret:
-            self._snapshot_jpg = jpg.tobytes()
-        
-        return self._snapshot_jpg
-
-def zone_filtered(obj: TrackedObject, object_config):
-    object_name = obj.obj_data['label']
-
-    if object_name in object_config:
-        obj_settings = object_config[object_name]
-
-        # if the min area is larger than the
-        # detected object, don't add it to detected objects
-        if obj_settings.min_area > obj.obj_data['area']:
-            return True
-        
-        # if the detected object is larger than the
-        # max area, don't add it to detected objects
-        if obj_settings.max_area < obj.obj_data['area']:
-            return True
-
-        # if the score is lower than the threshold, skip
-        if obj_settings.threshold > obj.computed_score:
-            return True
-        
-    return False
-
-# Maintains the state of a camera
-class CameraState():
-    def __init__(self, name, config, frame_manager):
-        self.name = name
-        self.config = config
-        self.camera_config = config.cameras[name]
-        self.frame_manager = frame_manager
-        self.best_objects: Dict[str, TrackedObject] = {}
-        self.object_counts = defaultdict(lambda: 0)
-        self.tracked_objects: Dict[str, TrackedObject] = {}
-        self.frame_cache = {}
-        self.zone_objects = defaultdict(lambda: [])
-        self._current_frame = np.zeros(self.camera_config.frame_shape_yuv, np.uint8)
-        self.current_frame_lock = threading.Lock()
-        self.current_frame_time = 0.0
-        self.previous_frame_id = None
-        self.callbacks = defaultdict(lambda: [])
-
-    def get_current_frame(self, draw_options={}):
-        with self.current_frame_lock:
-            frame_copy = np.copy(self._current_frame)
-            frame_time = self.current_frame_time
-            tracked_objects = {k: v.to_dict() for k,v in self.tracked_objects.items()}
-            motion_boxes = self.motion_boxes.copy()
-            regions = self.regions.copy()
-        
-        frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
-        # draw on the frame
-        if draw_options.get('bounding_boxes'):
-            # draw the bounding boxes on the frame
-            for obj in tracked_objects.values():
-                thickness = 2
-                color = COLOR_MAP[obj['label']]
-                
-                if obj['frame_time'] != frame_time:
-                    thickness = 1
-                    color = (255,0,0)
-
-                # draw the bounding boxes on the frame
-                box = obj['box']
-                draw_box_with_label(frame_copy, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
-        
-        if draw_options.get('regions'):
-            for region in regions:
-                cv2.rectangle(frame_copy, (region[0], region[1]), (region[2], region[3]), (0,255,0), 2)
-        
-        if draw_options.get('timestamp'):
-            time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
-            cv2.putText(frame_copy, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
-
-        if draw_options.get('zones'):
-            for name, zone in self.camera_config.zones.items():
-                thickness = 8 if any([name in obj['current_zones'] for obj in tracked_objects.values()]) else 2
-                cv2.drawContours(frame_copy, [zone.contour], -1, zone.color, thickness)
-        
-        if draw_options.get('mask'):
-            mask_overlay = np.where(self.camera_config.mask==[0])
-            frame_copy[mask_overlay] = [0,0,0]
-        
-        if draw_options.get('motion_boxes'):
-            for m_box in motion_boxes:
-                cv2.rectangle(frame_copy, (m_box[0], m_box[1]), (m_box[2], m_box[3]), (0,0,255), 2)
-
-        return frame_copy
-
-    def finished(self, obj_id):
-        del self.tracked_objects[obj_id]
-
-    def on(self, event_type: str, callback: Callable[[Dict], None]):
-        self.callbacks[event_type].append(callback)
-
-    def update(self, frame_time, current_detections, motion_boxes, regions):
-        self.current_frame_time = frame_time
-        self.motion_boxes = motion_boxes
-        self.regions = regions
-        # get the new frame
-        frame_id = f"{self.name}{frame_time}"
-        current_frame = self.frame_manager.get(frame_id, self.camera_config.frame_shape_yuv)
-
-        current_ids = current_detections.keys()
-        previous_ids = self.tracked_objects.keys()
-        removed_ids = list(set(previous_ids).difference(current_ids))
-        new_ids = list(set(current_ids).difference(previous_ids))
-        updated_ids = list(set(current_ids).intersection(previous_ids))
-
-        for id in new_ids:
-            new_obj = self.tracked_objects[id] = TrackedObject(self.name, self.camera_config, self.frame_cache, current_detections[id])
-
-            # call event handlers
-            for c in self.callbacks['start']:
-                c(self.name, new_obj, frame_time)
-        
-        for id in updated_ids:
-            updated_obj = self.tracked_objects[id]
-            significant_update = updated_obj.update(frame_time, current_detections[id])
-
-            if significant_update:
-                # ensure this frame is stored in the cache
-                if updated_obj.thumbnail_data['frame_time'] == frame_time and frame_time not in self.frame_cache:
-                    self.frame_cache[frame_time] = np.copy(current_frame)
-
-                # call event handlers
-                for c in self.callbacks['update']:
-                    c(self.name, updated_obj, frame_time)
-        
-        for id in removed_ids:
-            # publish events to mqtt
-            removed_obj = self.tracked_objects[id]
-            if not 'end_time' in removed_obj.obj_data:
-                removed_obj.obj_data['end_time'] = frame_time
-                for c in self.callbacks['end']:
-                    c(self.name, removed_obj, frame_time)
-
-        # TODO: can i switch to looking this up and only changing when an event ends?
-        # maintain best objects
-        for obj in self.tracked_objects.values():
-            object_type = obj.obj_data['label']
-            # if the object's thumbnail is not from the current frame
-            if obj.false_positive or obj.thumbnail_data['frame_time'] != self.current_frame_time:
-                continue
-            if object_type in self.best_objects:
-                current_best = self.best_objects[object_type]
-                now = datetime.datetime.now().timestamp()
-                # if the object is a higher score than the current best score 
-                # or the current object is older than desired, use the new object
-                if (is_better_thumbnail(current_best.thumbnail_data, obj.thumbnail_data, self.camera_config.frame_shape) 
-                    or (now - current_best.thumbnail_data['frame_time']) > self.camera_config.best_image_timeout):
-                    self.best_objects[object_type] = obj
-                    for c in self.callbacks['snapshot']:
-                        c(self.name, self.best_objects[object_type], frame_time)
-            else:
-                self.best_objects[object_type] = obj
-                for c in self.callbacks['snapshot']:
-                    c(self.name, self.best_objects[object_type], frame_time)
-        
-        # update overall camera state for each object type
-        obj_counter = Counter()
-        for obj in self.tracked_objects.values():
-            if not obj.false_positive:
-                obj_counter[obj.obj_data['label']] += 1
-                
-        # report on detected objects
-        for obj_name, count in obj_counter.items():
-            if count != self.object_counts[obj_name]:
-                self.object_counts[obj_name] = count
-                for c in self.callbacks['object_status']:
-                    c(self.name, obj_name, count)
-
-        # expire any objects that are >0 and no longer detected
-        expired_objects = [obj_name for obj_name, count in self.object_counts.items() if count > 0 and not obj_name in obj_counter]
-        for obj_name in expired_objects:
-            self.object_counts[obj_name] = 0
-            for c in self.callbacks['object_status']:
-                c(self.name, obj_name, 0)
-            for c in self.callbacks['snapshot']:
-                c(self.name, self.best_objects[obj_name], frame_time)
-        
-        # cleanup thumbnail frame cache
-        current_thumb_frames = set([obj.thumbnail_data['frame_time'] for obj in self.tracked_objects.values() if not obj.false_positive])
-        current_best_frames = set([obj.thumbnail_data['frame_time'] for obj in self.best_objects.values()])
-        thumb_frames_to_delete = [t for t in self.frame_cache.keys() if not t in current_thumb_frames and not t in current_best_frames]
-        for t in thumb_frames_to_delete:
-            del self.frame_cache[t]
-        
-        with self.current_frame_lock:
-            self._current_frame = current_frame
-            if not self.previous_frame_id is None:
-                self.frame_manager.delete(self.previous_frame_id)
-            self.previous_frame_id = frame_id
-
-class TrackedObjectProcessor(threading.Thread):
-    def __init__(self, config: FrigateConfig, client, topic_prefix, tracked_objects_queue, event_queue, event_processed_queue, stop_event):
-        threading.Thread.__init__(self)
-        self.name = "detected_frames_processor"
-        self.config = config
-        self.client = client
-        self.topic_prefix = topic_prefix
-        self.tracked_objects_queue = tracked_objects_queue
-        self.event_queue = event_queue
-        self.event_processed_queue = event_processed_queue
-        self.stop_event = stop_event
-        self.camera_states: Dict[str, CameraState] = {}
-        self.frame_manager = SharedMemoryFrameManager()
-
-        def start(camera, obj: TrackedObject, current_frame_time):
-            self.event_queue.put(('start', camera, obj.to_dict()))
-
-        def update(camera, obj: TrackedObject, current_frame_time):
-            after = obj.to_dict()
-            message = { 'before': obj.previous, 'after': after }
-            self.client.publish(f"{self.topic_prefix}/events", json.dumps(message), retain=False)
-            obj.previous = after
-
-        def end(camera, obj: TrackedObject, current_frame_time):
-            if not obj.false_positive:
-                message = { 'before': obj.previous, 'after': obj.to_dict() }
-                self.client.publish(f"{self.topic_prefix}/events", json.dumps(message), retain=False)
-            self.event_queue.put(('end', camera, obj.to_dict(include_thumbnail=True)))
-        
-        def snapshot(camera, obj: TrackedObject, current_frame_time):
-            self.client.publish(f"{self.topic_prefix}/{camera}/{obj.obj_data['label']}/snapshot", obj.get_jpg_bytes(), retain=True)
-        
-        def object_status(camera, object_name, status):
-            self.client.publish(f"{self.topic_prefix}/{camera}/{object_name}", status, retain=False)
-
-        for camera in self.config.cameras.keys():
-            camera_state = CameraState(camera, self.config, self.frame_manager)
-            camera_state.on('start', start)
-            camera_state.on('update', update)
-            camera_state.on('end', end)
-            camera_state.on('snapshot', snapshot)
-            camera_state.on('object_status', object_status)
-            self.camera_states[camera] = camera_state
-
-        # {
-        #   'zone_name': {
-        #       'person': {
-        #           'camera_1': 2,
-        #           'camera_2': 1
-        #       }
-        #   }
-        # }
-        self.zone_data = defaultdict(lambda: defaultdict(lambda: {}))
-        
-    def get_best(self, camera, label):
-        # TODO: need a lock here
-        camera_state = self.camera_states[camera]
-        if label in camera_state.best_objects:
-            best_obj = camera_state.best_objects[label]
-            best = best_obj.thumbnail_data.copy()
-            best['frame'] = camera_state.frame_cache.get(best_obj.thumbnail_data['frame_time'])
-            return best
-        else:
-            return {}
-    
-    def get_current_frame(self, camera, draw_options={}):
-        return self.camera_states[camera].get_current_frame(draw_options)
-
-    def run(self):
-        while True:
-            if self.stop_event.is_set():
-                logger.info(f"Exiting object processor...")
-                break
-
-            try:
-                camera, frame_time, current_tracked_objects, motion_boxes, regions = self.tracked_objects_queue.get(True, 10)
-            except queue.Empty:
-                continue
-
-            camera_state = self.camera_states[camera]
-
-            camera_state.update(frame_time, current_tracked_objects, motion_boxes, regions)
-
-            # update zone counts for each label
-            # for each zone in the current camera
-            for zone in self.config.cameras[camera].zones.keys():
-                # count labels for the camera in the zone
-                obj_counter = Counter()
-                for obj in camera_state.tracked_objects.values():
-                    if zone in obj.current_zones and not obj.false_positive:
-                        obj_counter[obj.obj_data['label']] += 1
-                
-                # update counts and publish status
-                for label in set(list(self.zone_data[zone].keys()) + list(obj_counter.keys())):
-                    # if we have previously published a count for this zone/label
-                    zone_label = self.zone_data[zone][label]
-                    if camera in zone_label:
-                        current_count = sum(zone_label.values())
-                        zone_label[camera] = obj_counter[label] if label in obj_counter else 0
-                        new_count = sum(zone_label.values())
-                        if new_count != current_count:
-                            self.client.publish(f"{self.topic_prefix}/{zone}/{label}", new_count, retain=False)
-                    # if this is a new zone/label combo for this camera
-                    else:
-                        if label in obj_counter:
-                            zone_label[camera] = obj_counter[label]
-                            self.client.publish(f"{self.topic_prefix}/{zone}/{label}", obj_counter[label], retain=False)
-
-            # cleanup event finished queue
-            while not self.event_processed_queue.empty():
-                event_id, camera = self.event_processed_queue.get()
-                self.camera_states[camera].finished(event_id)
@@ -1,149 +0,0 @@
-import copy
-import datetime
-import itertools
-import multiprocessing as mp
-import random
-import string
-import threading
-import time
-from collections import defaultdict
-
-import cv2
-import numpy as np
-from scipy.spatial import distance as dist
-
-from frigate.config import DetectConfig
-from frigate.util import draw_box_with_label
-
-
-class ObjectTracker():
-    def __init__(self, config: DetectConfig):
-        self.tracked_objects = {}
-        self.disappeared = {}
-        self.max_disappeared = config.max_disappeared
-
-    def register(self, index, obj):
-        rand_id = ''.join(random.choices(string.ascii_lowercase + string.digits, k=6))
-        id = f"{obj['frame_time']}-{rand_id}"
-        obj['id'] = id
-        obj['start_time'] = obj['frame_time']
-        self.tracked_objects[id] = obj
-        self.disappeared[id] = 0
-
-    def deregister(self, id):
-        del self.tracked_objects[id]
-        del self.disappeared[id]
-    
-    def update(self, id, new_obj):
-        self.disappeared[id] = 0
-        self.tracked_objects[id].update(new_obj)
-
-    def match_and_update(self, frame_time, new_objects):
-        # group by name
-        new_object_groups = defaultdict(lambda: [])
-        for obj in new_objects:
-            new_object_groups[obj[0]].append({
-                'label': obj[0],
-                'score': obj[1],
-                'box': obj[2],
-                'area': obj[3],
-                'region': obj[4],
-                'frame_time': frame_time
-            })
-        
-        # update any tracked objects with labels that are not
-        # seen in the current objects and deregister if needed
-        for obj in list(self.tracked_objects.values()):
-            if not obj['label'] in new_object_groups:
-                if self.disappeared[obj['id']] >= self.max_disappeared:
-                    self.deregister(obj['id'])
-                else:
-                    self.disappeared[obj['id']] += 1
-        
-        if len(new_objects) == 0:
-            return
-        
-        # track objects for each label type
-        for label, group in new_object_groups.items():
-            current_objects = [o for o in self.tracked_objects.values() if o['label'] == label]
-            current_ids = [o['id'] for o in current_objects]
-            current_centroids = np.array([o['centroid'] for o in current_objects])
-
-            # compute centroids of new objects
-            for obj in group:
-                centroid_x = int((obj['box'][0]+obj['box'][2]) / 2.0)
-                centroid_y = int((obj['box'][1]+obj['box'][3]) / 2.0)
-                obj['centroid'] = (centroid_x, centroid_y)
-
-            if len(current_objects) == 0:
-                for index, obj in enumerate(group):
-                    self.register(index, obj)
-                return
-            
-            new_centroids = np.array([o['centroid'] for o in group])
-
-            # compute the distance between each pair of tracked
-            # centroids and new centroids, respectively -- our
-            # goal will be to match each new centroid to an existing
-            # object centroid
-            D = dist.cdist(current_centroids, new_centroids)
-
-            # in order to perform this matching we must (1) find the
-            # smallest value in each row and then (2) sort the row
-            # indexes based on their minimum values so that the row
-            # with the smallest value is at the *front* of the index
-            # list
-            rows = D.min(axis=1).argsort()
-
-            # next, we perform a similar process on the columns by
-            # finding the smallest value in each column and then
-            # sorting using the previously computed row index list
-            cols = D.argmin(axis=1)[rows]
-
-            # in order to determine if we need to update, register,
-            # or deregister an object we need to keep track of which
-            # of the rows and column indexes we have already examined
-            usedRows = set()
-            usedCols = set()
-
-            # loop over the combination of the (row, column) index
-            # tuples
-            for (row, col) in zip(rows, cols):
-                # if we have already examined either the row or
-                # column value before, ignore it
-                if row in usedRows or col in usedCols:
-                    continue
-
-                # otherwise, grab the object ID for the current row,
-                # set its new centroid, and reset the disappeared
-                # counter
-                objectID = current_ids[row]
-                self.update(objectID, group[col])
-
-                # indicate that we have examined each of the row and
-                # column indexes, respectively
-                usedRows.add(row)
-                usedCols.add(col)
-
-            # compute the column index we have NOT yet examined
-            unusedRows = set(range(0, D.shape[0])).difference(usedRows)
-            unusedCols = set(range(0, D.shape[1])).difference(usedCols)
-
-            # in the event that the number of object centroids is
-			# equal or greater than the number of input centroids
-			# we need to check and see if some of these objects have
-			# potentially disappeared
-            if D.shape[0] >= D.shape[1]:
-                for row in unusedRows:
-                    id = current_ids[row]
-
-                    if self.disappeared[id] >= self.max_disappeared:
-                        self.deregister(id)
-                    else:
-                        self.disappeared[id] += 1
-            # if the number of input centroids is greater
-            # than the number of existing object centroids we need to
-            # register each new input centroid as a trackable object
-            else:
-                for col in unusedCols:
-                    self.register(col, group[col])
@@ -1,208 +0,0 @@
-import datetime
-import json
-import logging
-import multiprocessing as mp
-import os
-import subprocess as sp
-import sys
-from unittest import TestCase, main
-
-import click
-import cv2
-import numpy as np
-
-from frigate.config import FRIGATE_CONFIG_SCHEMA, FrigateConfig
-from frigate.edgetpu import LocalObjectDetector
-from frigate.motion import MotionDetector
-from frigate.object_processing import COLOR_MAP, CameraState
-from frigate.objects import ObjectTracker
-from frigate.util import (DictFrameManager, EventsPerSecond,
-                          SharedMemoryFrameManager, draw_box_with_label)
-from frigate.video import (capture_frames, process_frames,
-                           start_or_restart_ffmpeg)
-
-logging.basicConfig()
-logging.root.setLevel(logging.DEBUG)
-
-logger = logging.getLogger(__name__)
-
-def get_frame_shape(source):
-    ffprobe_cmd = " ".join([
-        'ffprobe',
-        '-v',
-        'panic',
-        '-show_error',
-        '-show_streams',
-        '-of',
-        'json',
-        '"'+source+'"'
-    ])
-    p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
-    (output, err) = p.communicate()
-    p_status = p.wait()
-    info = json.loads(output)
-
-    video_info = [s for s in info['streams'] if s['codec_type'] == 'video'][0]
-
-    if video_info['height'] != 0 and video_info['width'] != 0:
-        return (video_info['height'], video_info['width'], 3)
-    
-    # fallback to using opencv if ffprobe didnt succeed
-    video = cv2.VideoCapture(source)
-    ret, frame = video.read()
-    frame_shape = frame.shape
-    video.release()
-    return frame_shape
-
-class ProcessClip():
-    def __init__(self, clip_path, frame_shape, config: FrigateConfig):
-        self.clip_path = clip_path
-        self.camera_name = 'camera'
-        self.config = config
-        self.camera_config = self.config.cameras['camera']
-        self.frame_shape = self.camera_config.frame_shape
-        self.ffmpeg_cmd = [c['cmd'] for c in self.camera_config.ffmpeg_cmds if 'detect' in c['roles']][0]
-        self.frame_manager = SharedMemoryFrameManager()
-        self.frame_queue = mp.Queue()
-        self.detected_objects_queue = mp.Queue()
-        self.camera_state = CameraState(self.camera_name, config, self.frame_manager)
-
-    def load_frames(self):
-        fps = EventsPerSecond()
-        skipped_fps = EventsPerSecond()
-        current_frame = mp.Value('d', 0.0)
-        frame_size = self.camera_config.frame_shape_yuv[0] * self.camera_config.frame_shape_yuv[1]
-        ffmpeg_process = start_or_restart_ffmpeg(self.ffmpeg_cmd, logger, sp.DEVNULL, frame_size)
-        capture_frames(ffmpeg_process, self.camera_name, self.camera_config.frame_shape_yuv, self.frame_manager, 
-            self.frame_queue, fps, skipped_fps, current_frame)
-        ffmpeg_process.wait()
-        ffmpeg_process.communicate()
-    
-    def process_frames(self, objects_to_track=['person'], object_filters={}):
-        mask = np.zeros((self.frame_shape[0], self.frame_shape[1], 1), np.uint8)
-        mask[:] = 255
-        motion_detector = MotionDetector(self.frame_shape, mask, self.camera_config.motion)
-
-        object_detector = LocalObjectDetector(labels='/labelmap.txt')
-        object_tracker = ObjectTracker(self.camera_config.detect)
-        process_info = {
-            'process_fps': mp.Value('d', 0.0),
-            'detection_fps': mp.Value('d', 0.0),
-            'detection_frame': mp.Value('d', 0.0)
-        }
-        stop_event = mp.Event()
-        model_shape = (self.config.model.height, self.config.model.width)
-
-        process_frames(self.camera_name, self.frame_queue, self.frame_shape, model_shape, 
-            self.frame_manager, motion_detector, object_detector, object_tracker, 
-            self.detected_objects_queue, process_info, 
-            objects_to_track, object_filters, mask, stop_event, exit_on_empty=True)
-    
-    def top_object(self, debug_path=None):
-        obj_detected = False
-        top_computed_score = 0.0
-        def handle_event(name, obj, frame_time):
-            nonlocal obj_detected
-            nonlocal top_computed_score
-            if obj.computed_score > top_computed_score:
-                top_computed_score = obj.computed_score
-            if not obj.false_positive:
-                obj_detected = True
-        self.camera_state.on('new', handle_event)
-        self.camera_state.on('update', handle_event)
-
-        while(not self.detected_objects_queue.empty()):
-            camera_name, frame_time, current_tracked_objects, motion_boxes, regions = self.detected_objects_queue.get()
-            if not debug_path is None:
-                self.save_debug_frame(debug_path, frame_time, current_tracked_objects.values())
-
-            self.camera_state.update(frame_time, current_tracked_objects, motion_boxes, regions)
-        
-        self.frame_manager.delete(self.camera_state.previous_frame_id)
-        
-        return {
-            'object_detected': obj_detected,
-            'top_score': top_computed_score
-        }
-    
-    def save_debug_frame(self, debug_path, frame_time, tracked_objects):
-        current_frame = cv2.cvtColor(self.frame_manager.get(f"{self.camera_name}{frame_time}", self.camera_config.frame_shape_yuv), cv2.COLOR_YUV2BGR_I420)
-        # draw the bounding boxes on the frame
-        for obj in tracked_objects:
-            thickness = 2
-            color = (0,0,175)
-
-            if obj['frame_time'] != frame_time:
-                thickness = 1
-                color = (255,0,0)
-            else:
-                color = (255,255,0)
-
-            # draw the bounding boxes on the frame
-            box = obj['box']
-            draw_box_with_label(current_frame, box[0], box[1], box[2], box[3], obj['id'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
-            # draw the regions on the frame
-            region = obj['region']
-            draw_box_with_label(current_frame, region[0], region[1], region[2], region[3], 'region', "", thickness=1, color=(0,255,0))
-        
-        cv2.imwrite(f"{os.path.join(debug_path, os.path.basename(self.clip_path))}.{int(frame_time*1000000)}.jpg", current_frame)
-
-@click.command()
-@click.option("-p", "--path", required=True, help="Path to clip or directory to test.")
-@click.option("-l", "--label", default='person', help="Label name to detect.")
-@click.option("-t", "--threshold", default=0.85, help="Threshold value for objects.")
-@click.option("-s", "--scores", default=None, help="File to save csv of top scores")
-@click.option("--debug-path", default=None, help="Path to output frames for debugging.")
-def process(path, label, threshold, scores, debug_path):
-    clips = []
-    if os.path.isdir(path):
-        files = os.listdir(path)
-        files.sort()
-        clips = [os.path.join(path, file) for file in files]
-    elif os.path.isfile(path):  
-        clips.append(path)
-
-    json_config = {
-        'mqtt': {
-            'host': 'mqtt'
-        },
-        'cameras': {
-            'camera': {
-                'ffmpeg': {
-                    'inputs': [
-                        { 'path': 'path.mp4', 'global_args': '', 'input_args': '', 'roles': ['detect'] }
-                    ]
-                },
-                'height': 1920,
-                'width': 1080
-            }
-        }
-    }
-
-    results = []
-    for c in clips:
-        logger.info(c)
-        frame_shape = get_frame_shape(c)
-        
-        json_config['cameras']['camera']['height'] = frame_shape[0]
-        json_config['cameras']['camera']['width'] = frame_shape[1]
-        json_config['cameras']['camera']['ffmpeg']['inputs'][0]['path'] = c
-
-        config = FrigateConfig(config=FRIGATE_CONFIG_SCHEMA(json_config))
-
-        process_clip = ProcessClip(c, frame_shape, config)
-        process_clip.load_frames()
-        process_clip.process_frames(objects_to_track=[label])
-
-        results.append((c, process_clip.top_object(debug_path)))
-
-    if not scores is None:
-        with open(scores, 'w') as writer:
-            for result in results:
-                writer.write(f"{result[0]},{result[1]['top_score']}\n")
-    
-    positive_count = sum(1 for result in results if result[1]['object_detected'])
-    print(f"Objects were detected in {positive_count}/{len(results)}({positive_count/len(results)*100:.2f}%) clip(s).")
-
-if __name__ == '__main__':
-    process()
@@ -1,125 +0,0 @@
-import datetime
-import json
-import logging
-import os
-import queue
-import subprocess as sp
-import threading
-import time
-from collections import defaultdict
-from pathlib import Path
-
-import psutil
-
-from frigate.config import FrigateConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-
-logger = logging.getLogger(__name__)
-
-SECONDS_IN_DAY = 60 * 60 * 24
-
-def remove_empty_directories(directory):
-  # list all directories recursively and sort them by path,
-  # longest first
-  paths = sorted(
-      [x[0] for x in os.walk(RECORD_DIR)],
-      key=lambda p: len(str(p)),
-      reverse=True,
-  )
-  for path in paths:
-      # don't delete the parent
-      if path == RECORD_DIR:
-          continue
-      if len(os.listdir(path)) == 0:
-          os.rmdir(path)
-
-class RecordingMaintainer(threading.Thread):
-    def __init__(self, config: FrigateConfig, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'recording_maint'
-        self.config = config
-        self.stop_event = stop_event
-
-    def move_files(self):
-        recordings = [d for d in os.listdir(RECORD_DIR) if os.path.isfile(os.path.join(RECORD_DIR, d)) and d.endswith(".mp4")]
-
-        files_in_use = []
-        for process in psutil.process_iter():
-            if process.name() != 'ffmpeg':
-                continue
-            try:
-                flist = process.open_files()
-                if flist:
-                    for nt in flist:
-                        if nt.path.startswith(RECORD_DIR):
-                            files_in_use.append(nt.path.split('/')[-1])
-            except:
-                continue
-
-        for f in recordings:
-            if f in files_in_use:
-                continue
-
-            camera = '-'.join(f.split('-')[:-1])
-            start_time = datetime.datetime.strptime(f.split('-')[-1].split('.')[0], '%Y%m%d%H%M%S')
-        
-            ffprobe_cmd = " ".join([
-                'ffprobe',
-                '-v',
-                'error',
-                '-show_entries',
-                'format=duration',
-                '-of',
-                'default=noprint_wrappers=1:nokey=1',
-                f"{os.path.join(RECORD_DIR,f)}"
-            ])
-            p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
-            (output, err) = p.communicate()
-            p_status = p.wait()
-            if p_status == 0:
-                duration = float(output.decode('utf-8').strip())
-            else:
-                logger.info(f"bad file: {f}")
-                os.remove(os.path.join(RECORD_DIR,f))
-                continue
-
-            directory = os.path.join(RECORD_DIR, start_time.strftime('%Y-%m/%d/%H'), camera)
-
-            if not os.path.exists(directory):
-                os.makedirs(directory)
-
-            file_name = f"{start_time.strftime('%M.%S.mp4')}"
-
-            os.rename(os.path.join(RECORD_DIR,f), os.path.join(directory,file_name))
-
-    def expire_files(self):
-        delete_before = {}
-        for name, camera in self.config.cameras.items():
-            delete_before[name] = datetime.datetime.now().timestamp() - SECONDS_IN_DAY*camera.record.retain_days
-
-        for p in Path('/media/frigate/recordings').rglob("*.mp4"):
-            if not p.parent.name in delete_before:
-                continue
-            if p.stat().st_mtime < delete_before[p.parent.name]:
-                p.unlink(missing_ok=True)
-
-    def run(self):
-        counter = 0
-        self.expire_files()
-        while(True):
-            if self.stop_event.is_set():
-                logger.info(f"Exiting recording maintenance...")
-                break
-
-            # only expire events every 10 minutes, but check for new files every 10 seconds
-            time.sleep(10)
-            counter = counter + 1
-            if counter > 60:
-                self.expire_files()
-                remove_empty_directories(RECORD_DIR)
-                counter = 0
-
-            self.move_files()
-
-
-   
@@ -1,344 +0,0 @@
-import json
-from unittest import TestCase, main
-import voluptuous as vol
-from frigate.config import FRIGATE_CONFIG_SCHEMA, FrigateConfig
-
-class TestConfig(TestCase):
-    def setUp(self):
-        self.minimal = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-    def test_empty(self):
-        FRIGATE_CONFIG_SCHEMA({})
-
-    def test_minimal(self):
-        FRIGATE_CONFIG_SCHEMA(self.minimal)
-    
-    def test_config_class(self):
-        FrigateConfig(config=self.minimal)
-    
-    def test_inherit_tracked_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.track)
-    
-    def test_override_tracked_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['cat']
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('cat' in frigate_config.cameras['back'].objects.track)
-    
-    def test_default_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-    
-    def test_inherit_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog'],
-                'filters': {
-                    'dog': {
-                        'threshold': 0.7
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-        assert(frigate_config.cameras['back'].objects.filters['dog'].threshold == 0.7)
-    
-    def test_override_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['person', 'dog'],
-                        'filters': {
-                            'dog': {
-                                'threshold': 0.7
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-        assert(frigate_config.cameras['back'].objects.filters['dog'].threshold == 0.7)
-    
-    def test_ffmpeg_params(self):
-        config = {
-            'ffmpeg': {
-                'input_args': ['-re']
-            },
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['person', 'dog'],
-                        'filters': {
-                            'dog': {
-                                'threshold': 0.7
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('-re' in frigate_config.cameras['back'].ffmpeg_cmds[0]['cmd'])
-    
-    def test_inherit_save_clips_retention(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert(frigate_config.cameras['back'].save_clips.retain.objects['person'] == 30)
-    
-    def test_roles_listed_twice_throws_error(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] },
-                            { 'path': 'rtsp://10.0.0.1:554/video2', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        self.assertRaises(vol.MultipleInvalid, lambda: FrigateConfig(config=config))
-    
-    def test_zone_matching_camera_name_throws_error(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'zones': {
-                        'back': {
-                            'coordinates': '1,1,1,1,1,1'
-                        }
-                    }
-                }
-            }
-        }
-        self.assertRaises(vol.MultipleInvalid, lambda: FrigateConfig(config=config))
-    
-    def test_save_clips_should_default_to_global_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'save_clips': {
-                        'enabled': True
-                    }
-                }
-            }
-        }
-        config = FrigateConfig(config=config)
-        assert(len(config.cameras['back'].save_clips.objects) == 2)
-        assert('dog' in config.cameras['back'].save_clips.objects)
-        assert('person' in config.cameras['back'].save_clips.objects)
-    
-    def test_role_assigned_but_not_enabled(self):
-        json_config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect', 'rtmp'] },
-                            { 'path': 'rtsp://10.0.0.1:554/clips', 'roles': ['clips'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-
-        config = FrigateConfig(config=json_config)
-        ffmpeg_cmds = config.cameras['back'].ffmpeg_cmds
-        assert(len(ffmpeg_cmds) == 1)
-        assert(not 'clips' in ffmpeg_cmds[0]['roles'])
-
-
-if __name__ == '__main__':
-    main(verbosity=2)
@@ -1,39 +0,0 @@
-import cv2
-import numpy as np
-from unittest import TestCase, main
-from frigate.util import yuv_region_2_rgb
-
-class TestYuvRegion2RGB(TestCase):
-    def setUp(self):
-        self.bgr_frame = np.zeros((100, 200, 3), np.uint8)
-        self.bgr_frame[:] = (0, 0, 255)
-        self.bgr_frame[5:55, 5:55] = (255,0,0)
-        # cv2.imwrite(f"bgr_frame.jpg", self.bgr_frame)
-        self.yuv_frame = cv2.cvtColor(self.bgr_frame, cv2.COLOR_BGR2YUV_I420)
-
-    def test_crop_yuv(self):
-        cropped = yuv_region_2_rgb(self.yuv_frame, (10,10,50,50))
-        # ensure the upper left pixel is blue
-        assert(np.all(cropped[0, 0] == [0, 0, 255]))
-
-    def test_crop_yuv_out_of_bounds(self):
-        cropped = yuv_region_2_rgb(self.yuv_frame, (0,0,200,200))
-        # cv2.imwrite(f"cropped.jpg", cv2.cvtColor(cropped, cv2.COLOR_RGB2BGR))
-        # ensure the upper left pixel is red
-        # the yuv conversion has some noise
-        assert(np.all(cropped[0, 0] == [255, 1, 0]))
-        # ensure the bottom right is black
-        assert(np.all(cropped[199, 199] == [0, 0, 0]))
-
-    def test_crop_yuv_portrait(self):
-        bgr_frame = np.zeros((1920, 1080, 3), np.uint8)
-        bgr_frame[:] = (0, 0, 255)
-        bgr_frame[5:55, 5:55] = (255,0,0)
-        # cv2.imwrite(f"bgr_frame.jpg", self.bgr_frame)
-        yuv_frame = cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2YUV_I420)
-
-        cropped = yuv_region_2_rgb(yuv_frame, (0, 852, 648, 1500))
-        # cv2.imwrite(f"cropped.jpg", cv2.cvtColor(cropped, cv2.COLOR_RGB2BGR))
-
-if __name__ == '__main__':
-    main(verbosity=2)
@@ -1,353 +0,0 @@
-import collections
-import datetime
-import hashlib
-import json
-import signal
-import subprocess as sp
-import threading
-import time
-import traceback
-from abc import ABC, abstractmethod
-from multiprocessing import shared_memory
-from typing import AnyStr
-
-import cv2
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-def draw_box_with_label(frame, x_min, y_min, x_max, y_max, label, info, thickness=2, color=None, position='ul'):
-    if color is None:
-        color = (0,0,255)
-    display_text = "{}: {}".format(label, info)
-    cv2.rectangle(frame, (x_min, y_min), (x_max, y_max), color, thickness)
-    font_scale = 0.5
-    font = cv2.FONT_HERSHEY_SIMPLEX
-    # get the width and height of the text box
-    size = cv2.getTextSize(display_text, font, fontScale=font_scale, thickness=2)
-    text_width = size[0][0]
-    text_height = size[0][1]
-    line_height = text_height + size[1]
-    # set the text start position
-    if position == 'ul':
-        text_offset_x = x_min
-        text_offset_y = 0 if y_min < line_height else y_min - (line_height+8)
-    elif position == 'ur':
-        text_offset_x = x_max - (text_width+8)
-        text_offset_y = 0 if y_min < line_height else y_min - (line_height+8)
-    elif position == 'bl':
-        text_offset_x = x_min
-        text_offset_y = y_max
-    elif position == 'br':
-        text_offset_x = x_max - (text_width+8)
-        text_offset_y = y_max
-    # make the coords of the box with a small padding of two pixels
-    textbox_coords = ((text_offset_x, text_offset_y), (text_offset_x + text_width + 2, text_offset_y + line_height))
-    cv2.rectangle(frame, textbox_coords[0], textbox_coords[1], color, cv2.FILLED)
-    cv2.putText(frame, display_text, (text_offset_x, text_offset_y + line_height - 3), font, fontScale=font_scale, color=(0, 0, 0), thickness=2)
-
-def calculate_region(frame_shape, xmin, ymin, xmax, ymax, multiplier=2):    
-    # size is the longest edge and divisible by 4
-    size = int(max(xmax-xmin, ymax-ymin)//4*4*multiplier)
-    # dont go any smaller than 300
-    if size < 300:
-        size = 300
-
-    # x_offset is midpoint of bounding box minus half the size
-    x_offset = int((xmax-xmin)/2.0+xmin-size/2.0)
-    # if outside the image
-    if x_offset < 0:
-        x_offset = 0
-    elif x_offset > (frame_shape[1]-size):
-        x_offset = max(0, (frame_shape[1]-size))
-
-    # y_offset is midpoint of bounding box minus half the size
-    y_offset = int((ymax-ymin)/2.0+ymin-size/2.0)
-    # # if outside the image
-    if y_offset < 0:
-        y_offset = 0
-    elif y_offset > (frame_shape[0]-size):
-        y_offset = max(0, (frame_shape[0]-size))
-
-    return (x_offset, y_offset, x_offset+size, y_offset+size)
-
-def get_yuv_crop(frame_shape, crop):
-    # crop should be (x1,y1,x2,y2)
-    frame_height = frame_shape[0]//3*2
-    frame_width = frame_shape[1]
-
-    # compute the width/height of the uv channels
-    uv_width = frame_width//2 # width of the uv channels
-    uv_height = frame_height//4 # height of the uv channels
-
-    # compute the offset for upper left corner of the uv channels
-    uv_x_offset = crop[0]//2 # x offset of the uv channels
-    uv_y_offset = crop[1]//4 # y offset of the uv channels
-
-    # compute the width/height of the uv crops
-    uv_crop_width  = (crop[2] - crop[0])//2 # width of the cropped uv channels
-    uv_crop_height = (crop[3] - crop[1])//4 # height of the cropped uv channels
-
-    # ensure crop dimensions are multiples of 2 and 4
-    y = (
-        crop[0],
-        crop[1],
-        crop[0]      + uv_crop_width*2,
-        crop[1]      + uv_crop_height*4
-    )
-
-    u1 = (
-        0            + uv_x_offset,
-        frame_height + uv_y_offset,
-        0            + uv_x_offset  +  uv_crop_width,
-        frame_height + uv_y_offset  +  uv_crop_height
-    )
-
-    u2 = (
-        uv_width     + uv_x_offset,
-        frame_height + uv_y_offset,
-        uv_width     + uv_x_offset  +  uv_crop_width,
-        frame_height + uv_y_offset  +  uv_crop_height
-    )
-
-    v1 = (
-        0            + uv_x_offset,
-        frame_height + uv_height    +  uv_y_offset,
-        0            + uv_x_offset  +  uv_crop_width,
-        frame_height + uv_height    +  uv_y_offset  +  uv_crop_height
-    )
-
-    v2 = (
-        uv_width     + uv_x_offset,
-        frame_height + uv_height    +  uv_y_offset,
-        uv_width     + uv_x_offset  +  uv_crop_width,
-        frame_height + uv_height    +  uv_y_offset + uv_crop_height
-    )
-
-    return y, u1, u2, v1, v2
-
-def yuv_region_2_rgb(frame, region):
-    try:
-        height = frame.shape[0]//3*2
-        width = frame.shape[1]
-
-        # get the crop box if the region extends beyond the frame
-        crop_x1 = max(0, region[0])
-        crop_y1 = max(0, region[1])
-        # ensure these are a multiple of 4
-        crop_x2 = min(width,  region[2])
-        crop_y2 = min(height, region[3])
-        crop_box = (crop_x1, crop_y1, crop_x2, crop_y2)
-
-        y, u1, u2, v1, v2 = get_yuv_crop(frame.shape, crop_box)
-
-        # if the region starts outside the frame, indent the start point in the cropped frame
-        y_channel_x_offset = abs(min(0, region[0]))
-        y_channel_y_offset = abs(min(0, region[1]))
-
-        uv_channel_x_offset = y_channel_x_offset//2
-        uv_channel_y_offset = y_channel_y_offset//4
-
-        # create the yuv region frame
-        # make sure the size is a multiple of 4
-        size = (region[3] - region[1])//4*4
-        yuv_cropped_frame = np.zeros((size+size//2, size), np.uint8)
-        # fill in black
-        yuv_cropped_frame[:] = 128
-        yuv_cropped_frame[0:size,0:size] = 16
-
-        # copy the y channel
-        yuv_cropped_frame[
-                y_channel_y_offset:y_channel_y_offset + y[3] - y[1],
-                y_channel_x_offset:y_channel_x_offset + y[2] - y[0]
-            ] = frame[
-                y[1]:y[3], 
-                y[0]:y[2]
-            ]
-
-        uv_crop_width = u1[2] - u1[0]
-        uv_crop_height = u1[3] - u1[1]
-
-        # copy u1
-        yuv_cropped_frame[
-                size + uv_channel_y_offset:size + uv_channel_y_offset + uv_crop_height,
-                0    + uv_channel_x_offset:0    + uv_channel_x_offset + uv_crop_width
-            ] = frame[
-                u1[1]:u1[3], 
-                u1[0]:u1[2]
-            ]
-
-        # copy u2
-        yuv_cropped_frame[
-                size    + uv_channel_y_offset:size    + uv_channel_y_offset + uv_crop_height,
-                size//2 + uv_channel_x_offset:size//2 + uv_channel_x_offset + uv_crop_width
-            ] = frame[
-                u2[1]:u2[3], 
-                u2[0]:u2[2]
-            ]
-
-        # copy v1
-        yuv_cropped_frame[
-                size+size//4 + uv_channel_y_offset:size+size//4 + uv_channel_y_offset + uv_crop_height,
-                0            + uv_channel_x_offset:0            + uv_channel_x_offset + uv_crop_width
-            ] = frame[
-                v1[1]:v1[3], 
-                v1[0]:v1[2]
-            ]
-
-        # copy v2
-        yuv_cropped_frame[
-                size+size//4 + uv_channel_y_offset:size+size//4 + uv_channel_y_offset + uv_crop_height,
-                size//2      + uv_channel_x_offset:size//2      + uv_channel_x_offset + uv_crop_width
-            ] = frame[
-                v2[1]:v2[3], 
-                v2[0]:v2[2]
-            ]
-
-        return cv2.cvtColor(yuv_cropped_frame, cv2.COLOR_YUV2RGB_I420)
-    except:
-        print(f"frame.shape: {frame.shape}")
-        print(f"region: {region}")
-        raise
-
-def intersection(box_a, box_b):
-    return (
-        max(box_a[0], box_b[0]),
-        max(box_a[1], box_b[1]),
-        min(box_a[2], box_b[2]),
-        min(box_a[3], box_b[3])
-    )
-
-def area(box):
-    return (box[2]-box[0] + 1)*(box[3]-box[1] + 1)
-    
-def intersection_over_union(box_a, box_b):
-    # determine the (x, y)-coordinates of the intersection rectangle
-    intersect = intersection(box_a, box_b)
-
-    # compute the area of intersection rectangle
-    inter_area = max(0, intersect[2] - intersect[0] + 1) * max(0, intersect[3] - intersect[1] + 1)
-
-    if inter_area == 0:
-        return 0.0
-    
-    # compute the area of both the prediction and ground-truth
-    # rectangles
-    box_a_area = (box_a[2] - box_a[0] + 1) * (box_a[3] - box_a[1] + 1)
-    box_b_area = (box_b[2] - box_b[0] + 1) * (box_b[3] - box_b[1] + 1)
-
-    # compute the intersection over union by taking the intersection
-    # area and dividing it by the sum of prediction + ground-truth
-    # areas - the interesection area
-    iou = inter_area / float(box_a_area + box_b_area - inter_area)
-
-    # return the intersection over union value
-    return iou
-
-def clipped(obj, frame_shape):
-    # if the object is within 5 pixels of the region border, and the region is not on the edge
-    # consider the object to be clipped
-    box = obj[2]
-    region = obj[4]
-    if ((region[0] > 5 and box[0]-region[0] <= 5) or 
-        (region[1] > 5 and box[1]-region[1] <= 5) or
-        (frame_shape[1]-region[2] > 5 and region[2]-box[2] <= 5) or
-        (frame_shape[0]-region[3] > 5 and region[3]-box[3] <= 5)):
-        return True
-    else:
-        return False
-
-class EventsPerSecond:
-    def __init__(self, max_events=1000):
-        self._start = None
-        self._max_events = max_events
-        self._timestamps = []
-    
-    def start(self):
-        self._start = datetime.datetime.now().timestamp()
-
-    def update(self):
-        if self._start is None:
-            self.start()
-        self._timestamps.append(datetime.datetime.now().timestamp())
-        # truncate the list when it goes 100 over the max_size
-        if len(self._timestamps) > self._max_events+100:
-            self._timestamps = self._timestamps[(1-self._max_events):]
-
-    def eps(self, last_n_seconds=10):
-        if self._start is None:
-            self.start()
-		# compute the (approximate) events in the last n seconds
-        now = datetime.datetime.now().timestamp()
-        seconds = min(now-self._start, last_n_seconds)
-        return len([t for t in self._timestamps if t > (now-last_n_seconds)]) / seconds
-
-def print_stack(sig, frame):
-    traceback.print_stack(frame)
-
-def listen():
-    signal.signal(signal.SIGUSR1, print_stack)
-
-class FrameManager(ABC):
-    @abstractmethod
-    def create(self, name, size) -> AnyStr:
-        pass
-
-    @abstractmethod
-    def get(self, name, timeout_ms=0):
-        pass
-
-    @abstractmethod
-    def close(self, name):
-        pass
-
-    @abstractmethod
-    def delete(self, name):
-        pass
-
-class DictFrameManager(FrameManager):
-    def __init__(self):
-        self.frames = {}
-    
-    def create(self, name, size) -> AnyStr:
-        mem = bytearray(size)
-        self.frames[name] = mem
-        return mem
-    
-    def get(self, name, shape):
-        mem = self.frames[name]
-        return np.ndarray(shape, dtype=np.uint8, buffer=mem)
-    
-    def close(self, name):
-        pass
-    
-    def delete(self, name):
-        del self.frames[name]
-
-class SharedMemoryFrameManager(FrameManager):
-    def __init__(self):
-        self.shm_store = {}
-    
-    def create(self, name, size) -> AnyStr:
-        shm = shared_memory.SharedMemory(name=name, create=True, size=size)
-        self.shm_store[name] = shm
-        return shm.buf
-
-    def get(self, name, shape):
-        if name in self.shm_store:
-            shm = self.shm_store[name]
-        else:
-            shm = shared_memory.SharedMemory(name=name)
-            self.shm_store[name] = shm
-        return np.ndarray(shape, dtype=np.uint8, buffer=shm.buf)
-
-    def close(self, name):
-        if name in self.shm_store:
-            self.shm_store[name].close()
-            del self.shm_store[name]
-
-    def delete(self, name):
-        if name in self.shm_store:
-            self.shm_store[name].close()
-            self.shm_store[name].unlink()
-            del self.shm_store[name]
@@ -1,418 +0,0 @@
-import base64
-import copy
-import ctypes
-import datetime
-import itertools
-import json
-import logging
-import multiprocessing as mp
-import os
-import queue
-import subprocess as sp
-import signal
-import threading
-import time
-from collections import defaultdict
-from typing import Dict, List
-
-import cv2
-import numpy as np
-
-from frigate.config import CameraConfig
-from frigate.edgetpu import RemoteObjectDetector
-from frigate.log import LogPipe
-from frigate.motion import MotionDetector
-from frigate.objects import ObjectTracker
-from frigate.util import (EventsPerSecond, FrameManager,
-                          SharedMemoryFrameManager, area, calculate_region,
-                          clipped, draw_box_with_label, intersection,
-                          intersection_over_union, listen, yuv_region_2_rgb)
-
-logger = logging.getLogger(__name__)
-
-def filtered(obj, objects_to_track, object_filters, mask=None):
-    object_name = obj[0]
-
-    if not object_name in objects_to_track:
-        return True
-    
-    if object_name in object_filters:
-        obj_settings = object_filters[object_name]
-
-        # if the min area is larger than the
-        # detected object, don't add it to detected objects
-        if obj_settings.min_area > obj[3]:
-            return True
-        
-        # if the detected object is larger than the
-        # max area, don't add it to detected objects
-        if obj_settings.max_area < obj[3]:
-            return True
-
-        # if the score is lower than the min_score, skip
-        if obj_settings.min_score > obj[1]:
-            return True
-    
-        # compute the coordinates of the object and make sure
-        # the location isnt outside the bounds of the image (can happen from rounding)
-        y_location = min(int(obj[2][3]), len(mask)-1)
-        x_location = min(int((obj[2][2]-obj[2][0])/2.0)+obj[2][0], len(mask[0])-1)
-
-        # if the object is in a masked location, don't add it to detected objects
-        if (not mask is None) and (mask[y_location][x_location] == 0):
-            return True
-        
-    return False
-
-def create_tensor_input(frame, model_shape, region):
-    cropped_frame = yuv_region_2_rgb(frame, region)
-
-    # Resize to 300x300 if needed
-    if cropped_frame.shape != (model_shape[0], model_shape[1], 3):
-        cropped_frame = cv2.resize(cropped_frame, dsize=model_shape, interpolation=cv2.INTER_LINEAR)
-    
-    # Expand dimensions since the model expects images to have shape: [1, height, width, 3]
-    return np.expand_dims(cropped_frame, axis=0)
-
-def stop_ffmpeg(ffmpeg_process, logger):
-    logger.info("Terminating the existing ffmpeg process...")
-    ffmpeg_process.terminate()
-    try:
-        logger.info("Waiting for ffmpeg to exit gracefully...")
-        ffmpeg_process.communicate(timeout=30)
-    except sp.TimeoutExpired:
-        logger.info("FFmpeg didnt exit. Force killing...")
-        ffmpeg_process.kill()
-        ffmpeg_process.communicate()
-    ffmpeg_process = None
-
-def start_or_restart_ffmpeg(ffmpeg_cmd, logger, logpipe: LogPipe, frame_size=None, ffmpeg_process=None):
-    if not ffmpeg_process is None:
-        stop_ffmpeg(ffmpeg_process, logger)
-
-    if frame_size is None:
-        process = sp.Popen(ffmpeg_cmd, stdout = sp.DEVNULL, stderr=logpipe, stdin = sp.DEVNULL, start_new_session=True)
-    else:
-        process = sp.Popen(ffmpeg_cmd, stdout = sp.PIPE, stderr=logpipe, stdin = sp.DEVNULL, bufsize=frame_size*10, start_new_session=True)
-    return process
-
-def capture_frames(ffmpeg_process, camera_name, frame_shape, frame_manager: FrameManager, 
-    frame_queue, fps:mp.Value, skipped_fps: mp.Value, current_frame: mp.Value):
-
-    frame_size = frame_shape[0] * frame_shape[1]
-    frame_rate = EventsPerSecond()
-    frame_rate.start()
-    skipped_eps = EventsPerSecond()
-    skipped_eps.start()
-    while True:
-        fps.value = frame_rate.eps()
-        skipped_fps = skipped_eps.eps()
-
-        current_frame.value = datetime.datetime.now().timestamp()
-        frame_name = f"{camera_name}{current_frame.value}"
-        frame_buffer = frame_manager.create(frame_name, frame_size)
-        try:
-            frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)
-        except Exception as e:
-            logger.info(f"{camera_name}: ffmpeg sent a broken frame. {e}")
-
-            if ffmpeg_process.poll() != None:
-                logger.info(f"{camera_name}: ffmpeg process is not running. exiting capture thread...")
-                frame_manager.delete(frame_name)
-                break
-            continue
-
-        frame_rate.update()
-
-        # if the queue is full, skip this frame
-        if frame_queue.full():
-            skipped_eps.update()
-            frame_manager.delete(frame_name)
-            continue
-
-        # close the frame
-        frame_manager.close(frame_name)
-
-        # add to the queue
-        frame_queue.put(current_frame.value)
-
-class CameraWatchdog(threading.Thread):
-    def __init__(self, camera_name, config, frame_queue, camera_fps, ffmpeg_pid, stop_event):
-        threading.Thread.__init__(self)
-        self.logger = logging.getLogger(f"watchdog.{camera_name}")
-        self.camera_name = camera_name
-        self.config = config
-        self.capture_thread = None
-        self.ffmpeg_detect_process = None
-        self.logpipe = LogPipe(f"ffmpeg.{self.camera_name}.detect", logging.ERROR)
-        self.ffmpeg_other_processes = []
-        self.camera_fps = camera_fps
-        self.ffmpeg_pid = ffmpeg_pid
-        self.frame_queue = frame_queue
-        self.frame_shape = self.config.frame_shape_yuv
-        self.frame_size = self.frame_shape[0] * self.frame_shape[1]
-        self.stop_event = stop_event
-
-    def run(self):
-        self.start_ffmpeg_detect()
-
-        for c in self.config.ffmpeg_cmds:
-            if 'detect' in c['roles']:
-                continue
-            logpipe = LogPipe(f"ffmpeg.{self.camera_name}.{'_'.join(sorted(c['roles']))}", logging.ERROR)
-            self.ffmpeg_other_processes.append({
-                'cmd': c['cmd'],
-                'logpipe': logpipe,
-                'process': start_or_restart_ffmpeg(c['cmd'], self.logger, logpipe)
-            })
-        
-        time.sleep(10)
-        while True:
-            if self.stop_event.is_set():
-                stop_ffmpeg(self.ffmpeg_detect_process, self.logger)
-                for p in self.ffmpeg_other_processes:
-                    stop_ffmpeg(p['process'], self.logger)
-                    p['logpipe'].close()
-                self.logpipe.close()
-                break
-
-            now = datetime.datetime.now().timestamp()
-
-            if not self.capture_thread.is_alive():
-                self.start_ffmpeg_detect()
-            elif now - self.capture_thread.current_frame.value > 20:
-                self.logger.info(f"No frames received from {self.camera_name} in 20 seconds. Exiting ffmpeg...")
-                self.ffmpeg_detect_process.terminate()
-                try:
-                    self.logger.info("Waiting for ffmpeg to exit gracefully...")
-                    self.ffmpeg_detect_process.communicate(timeout=30)
-                except sp.TimeoutExpired:
-                    self.logger.info("FFmpeg didnt exit. Force killing...")
-                    self.ffmpeg_detect_process.kill()
-                    self.ffmpeg_detect_process.communicate()
-            
-            for p in self.ffmpeg_other_processes:
-                poll = p['process'].poll()
-                if poll == None:
-                    continue
-                p['process'] = start_or_restart_ffmpeg(p['cmd'], self.logger, p['logpipe'], ffmpeg_process=p['process'])
-            
-            # wait a bit before checking again
-            time.sleep(10)
-    
-    def start_ffmpeg_detect(self):
-        ffmpeg_cmd = [c['cmd'] for c in self.config.ffmpeg_cmds if 'detect' in c['roles']][0]
-        self.ffmpeg_detect_process = start_or_restart_ffmpeg(ffmpeg_cmd, self.logger, self.logpipe, self.frame_size)
-        self.ffmpeg_pid.value = self.ffmpeg_detect_process.pid
-        self.capture_thread = CameraCapture(self.camera_name, self.ffmpeg_detect_process, self.frame_shape, self.frame_queue, 
-            self.camera_fps)
-        self.capture_thread.start()
-
-class CameraCapture(threading.Thread):
-    def __init__(self, camera_name, ffmpeg_process, frame_shape, frame_queue, fps):
-        threading.Thread.__init__(self)
-        self.name = f"capture:{camera_name}"
-        self.camera_name = camera_name
-        self.frame_shape = frame_shape
-        self.frame_queue = frame_queue
-        self.fps = fps
-        self.skipped_fps = EventsPerSecond()
-        self.frame_manager = SharedMemoryFrameManager()
-        self.ffmpeg_process = ffmpeg_process
-        self.current_frame = mp.Value('d', 0.0)
-        self.last_frame = 0
-
-    def run(self):
-        self.skipped_fps.start()
-        capture_frames(self.ffmpeg_process, self.camera_name, self.frame_shape, self.frame_manager, self.frame_queue,
-            self.fps, self.skipped_fps, self.current_frame)
-
-def capture_camera(name, config: CameraConfig, process_info):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    frame_queue = process_info['frame_queue']
-    camera_watchdog = CameraWatchdog(name, config, frame_queue, process_info['camera_fps'], process_info['ffmpeg_pid'], stop_event)
-    camera_watchdog.start()
-    camera_watchdog.join()
-
-def track_camera(name, config: CameraConfig, model_shape, detection_queue, result_connection, detected_objects_queue, process_info):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    threading.current_thread().name = f"process:{name}"
-    listen()
-
-    frame_queue = process_info['frame_queue']
-
-    frame_shape = config.frame_shape
-    objects_to_track = config.objects.track
-    object_filters = config.objects.filters
-    mask = config.mask
-
-    motion_detector = MotionDetector(frame_shape, mask, config.motion)
-    object_detector = RemoteObjectDetector(name, '/labelmap.txt', detection_queue, result_connection, model_shape)
-
-    object_tracker = ObjectTracker(config.detect)
-
-    frame_manager = SharedMemoryFrameManager()
-
-    process_frames(name, frame_queue, frame_shape, model_shape, frame_manager, motion_detector, object_detector,
-        object_tracker, detected_objects_queue, process_info, objects_to_track, object_filters, mask, stop_event)
-
-    logger.info(f"{name}: exiting subprocess")
-
-def reduce_boxes(boxes):
-    if len(boxes) == 0:
-        return []
-    reduced_boxes = cv2.groupRectangles([list(b) for b in itertools.chain(boxes, boxes)], 1, 0.2)[0]
-    return [tuple(b) for b in reduced_boxes]
-
-def detect(object_detector, frame, model_shape, region, objects_to_track, object_filters, mask):
-    tensor_input = create_tensor_input(frame, model_shape, region)
-
-    detections = []
-    region_detections = object_detector.detect(tensor_input)
-    for d in region_detections:
-        box = d[2]
-        size = region[2]-region[0]
-        x_min = int((box[1] * size) + region[0])
-        y_min = int((box[0] * size) + region[1])
-        x_max = int((box[3] * size) + region[0])
-        y_max = int((box[2] * size) + region[1])
-        det = (d[0],
-            d[1],
-            (x_min, y_min, x_max, y_max),
-            (x_max-x_min)*(y_max-y_min),
-            region)
-        # apply object filters
-        if filtered(det, objects_to_track, object_filters, mask):
-            continue
-        detections.append(det)
-    return detections
-
-def process_frames(camera_name: str, frame_queue: mp.Queue, frame_shape, model_shape,
-    frame_manager: FrameManager, motion_detector: MotionDetector, 
-    object_detector: RemoteObjectDetector, object_tracker: ObjectTracker,
-    detected_objects_queue: mp.Queue, process_info: Dict,
-    objects_to_track: List[str], object_filters, mask, stop_event,
-    exit_on_empty: bool = False):
-    
-    fps = process_info['process_fps']
-    detection_fps = process_info['detection_fps']
-    current_frame_time = process_info['detection_frame']
-
-    fps_tracker = EventsPerSecond()
-    fps_tracker.start()
-
-    while True:
-        if stop_event.is_set():
-            break
-
-        if exit_on_empty and frame_queue.empty():
-            logger.info(f"Exiting track_objects...")
-            break
-
-        try:
-            frame_time = frame_queue.get(True, 10)
-        except queue.Empty:
-            continue
-
-        current_frame_time.value = frame_time
-
-        frame = frame_manager.get(f"{camera_name}{frame_time}", (frame_shape[0]*3//2, frame_shape[1]))
-
-        if frame is None:
-            logger.info(f"{camera_name}: frame {frame_time} is not in memory store.")
-            continue
-
-        # look for motion
-        motion_boxes = motion_detector.detect(frame)
-
-        tracked_object_boxes = [obj['box'] for obj in object_tracker.tracked_objects.values()]
-
-        # combine motion boxes with known locations of existing objects
-        combined_boxes = reduce_boxes(motion_boxes + tracked_object_boxes)
-
-        # compute regions
-        regions = [calculate_region(frame_shape, a[0], a[1], a[2], a[3], 1.2)
-            for a in combined_boxes]
-
-        # combine overlapping regions
-        combined_regions = reduce_boxes(regions)
-
-        # re-compute regions
-        regions = [calculate_region(frame_shape, a[0], a[1], a[2], a[3], 1.0)
-            for a in combined_regions]
-
-        # resize regions and detect
-        detections = []
-        for region in regions:
-            detections.extend(detect(object_detector, frame, model_shape, region, objects_to_track, object_filters, mask))
-        
-        #########
-        # merge objects, check for clipped objects and look again up to 4 times
-        #########
-        refining = True
-        refine_count = 0
-        while refining and refine_count < 4:
-            refining = False
-
-            # group by name
-            detected_object_groups = defaultdict(lambda: [])
-            for detection in detections:
-                detected_object_groups[detection[0]].append(detection)
-
-            selected_objects = []
-            for group in detected_object_groups.values():
-
-                # apply non-maxima suppression to suppress weak, overlapping bounding boxes
-                boxes = [(o[2][0], o[2][1], o[2][2]-o[2][0], o[2][3]-o[2][1])
-                    for o in group]
-                confidences = [o[1] for o in group]
-                idxs = cv2.dnn.NMSBoxes(boxes, confidences, 0.5, 0.4)
-
-                for index in idxs:
-                    obj = group[index[0]]
-                    if clipped(obj, frame_shape):
-                        box = obj[2]
-                        # calculate a new region that will hopefully get the entire object
-                        region = calculate_region(frame_shape, 
-                            box[0], box[1],
-                            box[2], box[3])
-
-                        regions.append(region)
-                        
-                        selected_objects.extend(detect(object_detector, frame, model_shape, region, objects_to_track, object_filters, mask))
-
-                        refining = True
-                    else:
-                        selected_objects.append(obj)            
-            # set the detections list to only include top, complete objects
-            # and new detections
-            detections = selected_objects
-
-            if refining:
-                refine_count += 1
-
-        # now that we have refined our detections, we need to track objects
-        object_tracker.match_and_update(frame_time, detections)
-
-        # add to the queue if not full
-        if(detected_objects_queue.full()):
-          frame_manager.delete(f"{camera_name}{frame_time}")
-          continue
-        else:
-          fps_tracker.update()
-          fps.value = fps_tracker.eps()
-          detected_objects_queue.put((camera_name, frame_time, object_tracker.tracked_objects, motion_boxes, regions))
-          detection_fps.value = object_detector.fps.eps()
-          frame_manager.close(f"{camera_name}{frame_time}")
@@ -1,36 +0,0 @@
-import datetime
-import logging
-import threading
-import time
-
-logger = logging.getLogger(__name__)
-
-class FrigateWatchdog(threading.Thread):
-    def __init__(self, detectors, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'frigate_watchdog'
-        self.detectors = detectors
-        self.stop_event = stop_event
-
-    def run(self):
-        time.sleep(10)
-        while True:
-            # wait a bit before checking
-            time.sleep(10)
-
-            if self.stop_event.is_set():
-                logger.info(f"Exiting watchdog...")
-                break
-
-            now = datetime.datetime.now().timestamp()
-
-            # check the detection processes
-            for detector in self.detectors.values():
-                detection_start = detector.detection_start.value
-                if (detection_start > 0.0 and 
-                    now - detection_start > 10):
-                    logger.info("Detection appears to be stuck. Restarting detection process")
-                    detector.start_or_restart()
-                elif not detector.detect_process.is_alive():
-                    logger.info("Detection appears to have stopped. Restarting detection process")
-                    detector.start_or_restart()
@@ -1,58 +0,0 @@
-import logging
-import socket
-
-from zeroconf import (
-    ServiceInfo,
-    NonUniqueNameException,
-    InterfaceChoice,
-    IPVersion,
-    Zeroconf,
-)
-
-logger = logging.getLogger(__name__)
-
-ZEROCONF_TYPE = "_frigate._tcp.local."
-
-# Taken from: http://stackoverflow.com/a/11735897
-def get_local_ip() -> str:
-    """Try to determine the local IP address of the machine."""
-    try:
-        sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-
-        # Use Google Public DNS server to determine own IP
-        sock.connect(("8.8.8.8", 80))
-
-        return sock.getsockname()[0]  # type: ignore
-    except OSError:
-        try:
-            return socket.gethostbyname(socket.gethostname())
-        except socket.gaierror:
-            return "127.0.0.1"
-    finally:
-        sock.close()
-
-def broadcast_zeroconf(frigate_id):
-    zeroconf = Zeroconf(interfaces=InterfaceChoice.Default, ip_version=IPVersion.V4Only)
-
-    host_ip = get_local_ip()
-
-    try:
-        host_ip_pton = socket.inet_pton(socket.AF_INET, host_ip)
-    except OSError:
-        host_ip_pton = socket.inet_pton(socket.AF_INET6, host_ip)
-
-    info = ServiceInfo(
-        ZEROCONF_TYPE,
-        name=f"{frigate_id}.{ZEROCONF_TYPE}",
-        addresses=[host_ip_pton],
-        port=5000,
-    )
-
-    logger.info("Starting Zeroconf broadcast")
-    try:
-        zeroconf.register_service(info)
-    except NonUniqueNameException:
-        logger.error(
-            "Frigate instance with identical name present in the local network"
-        )
-    return zeroconf
--- a/Show More
+++ b/Show More
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
				`@@ -0,0 +1 @@`
				`/! algoliasearch-lite.umd.js \| 4.8.4 \| © Algolia, inc. \| https://github.com/algolia/algoliasearch-client-javascript /`
				`@@ -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)}}]);`
				`@@ -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.")))))}}}]);