Rewrite restream (#5106 )

* Tear out restream config * Rework birdseye restream * Create go2rtc config handler * Fix bug * Write start script * Rework style * Fix python run syntax * Output as json instead of yaml * Put old live config back and fix birdseye references * Fix camera webUI * Add frigate env var subsitutions * Fix webui checks * Check keys * Remove unused prest * Fix tests * Update restream docs * Update restream docs * Update live docs * Update camera specific recommendation * Update more docs * add links for the docs Co-authored-by: Felipe Santos <felipecassiors@gmail.com> * Update note about supported audio codecs * Move restream to go2rtc * Docs fixes * Add verification of stream name * Ensure that webUI uses camera name * Update docs to reflect new live stream name * Fix check * Formatting * Remove audio from detect Co-authored-by: Felipe Santos <felipecassiors@gmail.com> * Fix docs * Don't handle env variable substitution * Add go2rtc version * Clarify docs Co-authored-by: Felipe Santos <felipecassiors@gmail.com>
Add dependabot auto merge workflow (#5105 )
2023-01-16 17:50:35 -06:00 · 2023-01-16 17:30:48 -06:00 · 2023-01-16 17:17:03 -06:00 · 2023-01-16 17:16:46 -06:00 · 2023-01-16 07:01:04 -06:00 · 2023-01-15 22:28:20 -06:00
339 changed files with 48329 additions and 26659 deletions
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,27 +1,78 @@
 {
-  "name": "Frigate Dev",
+  "name": "Frigate Devcontainer",
  "dockerComposeFile": "../docker-compose.yml",
-  "service": "dev",
+  "service": "devcontainer",
-  "workspaceFolder": "/lab/frigate",
+  "workspaceFolder": "/workspace/frigate",
  "initializeCommand": ".devcontainer/initialize.sh",
  "postCreateCommand": ".devcontainer/post_create.sh",
  "overrideCommand": false,
  "remoteUser": "vscode",
  "features": {
    "ghcr.io/devcontainers/features/common-utils:1": {}
  },
  "forwardPorts": [5000, 5001, 5173, 1935, 8554, 8555],
  "portsAttributes": {
    "5000": {
      "label": "NGINX",
      "onAutoForward": "silent"
    },
    "5001": {
      "label": "Frigate API",
      "onAutoForward": "silent"
    },
    "5173": {
      "label": "Vite Server",
      "onAutoForward": "silent"
    },
    "1935": {
      "label": "RTMP",
      "onAutoForward": "silent"
    },
    "8554": {
      "label": "gortc RTSP",
      "onAutoForward": "silent"
    },
    "8555": {
      "label": "go2rtc WebRTC",
      "onAutoForward": "silent"
    }
  },
  "extensions": [
    "ms-python.vscode-pylance",
    "ms-python.python",
    "visualstudioexptteam.vscodeintellicode",
    "mhutchie.git-graph",
    "ms-azuretools.vscode-docker",
    "streetsidesoftware.code-spell-checker",
    "eamodio.gitlens",
    "esbenp.prettier-vscode",
-    "ms-python.vscode-pylance"
+    "dbaeumer.vscode-eslint",
    "mikestead.dotenv",
    "csstools.postcss",
    "blanu.vscode-styled-jsx",
    "bradlc.vscode-tailwindcss"
  ],
  "settings": {
-    "python.pythonPath": "/usr/bin/python3",
+    "remote.autoForwardPorts": false,
    "python.linting.pylintEnabled": true,
    "python.linting.enabled": true,
    "python.formatting.provider": "black",
    "python.languageServer": "Pylance",
    "editor.formatOnPaste": false,
    "editor.formatOnSave": true,
    "editor.formatOnType": true,
    "python.testing.pytestEnabled": false,
    "python.testing.unittestEnabled": true,
    "python.testing.unittestArgs": ["-v", "-s", "./frigate/test"],
    "files.trimTrailingWhitespace": true,
-    "terminal.integrated.shell.linux": "/bin/bash"
+    "eslint.workingDirectories": ["./web"],
    "[json][jsonc]": {
      "editor.defaultFormatter": "esbenp.prettier-vscode"
    },
    "[jsx][js][tsx][ts]": {
      "editor.codeActionsOnSave": ["source.addMissingImports", "source.fixAll"],
      "editor.tabSize": 2
    },
    "cSpell.ignoreWords": ["rtmp"],
    "cSpell.words": ["preact"]
  }
 }
--- a/.devcontainer/initialize.sh
+++ b/.devcontainer/initialize.sh
@@ -0,0 +1,13 @@
 #!/bin/bash
 set -euo pipefail
 # These folders needs to be created and owned by the host user
 mkdir -p debug web/dist
 if [[ -f "config/config.yml" ]]; then
  echo "config/config.yml already exists, skipping initialization" >&2
 else
  echo "initializing config/config.yml" >&2
  cp -fv config/config.yml.example config/config.yml
 fi
--- a/.devcontainer/post_create.sh
+++ b/.devcontainer/post_create.sh
@@ -0,0 +1,17 @@
 #!/bin/bash
 set -euxo pipefail
 # Frigate normal container runs as root, so it have permission to create
 # the folders. But the devcontainer runs as the host user, so we need to
 # create the folders and give the host user permission to write to them.
 sudo mkdir -p /media/frigate
 sudo chown -R "$(id -u):$(id -g)" /media/frigate
 make version
 cd web
 npm install
 npm run build
--- a/.dockerignore
+++ b/.dockerignore
@@ -7,4 +7,10 @@ config/
 .git
 core
 *.mp4
-*.db
+*.jpg
 *.db
 *.ts
 web/dist/
 web/node_modules/
 web/.npm
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -1,3 +1,3 @@
 github:
  - blakeblackshear
-  - paularmstrong
+  - NickM-27
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -1,56 +0,0 @@
 ---
 name: Bug report or Support request
 about: Bug report or Support request
 title: ''
 labels: ''
 assignees: ''
 ---
 **Describe the bug**
 A clear and concise description of what your issue is.
 **Version of frigate**
 Output from `/api/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 /api/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.
--- a/.github/ISSUE_TEMPLATE/camera_support_request.yml
+++ b/.github/ISSUE_TEMPLATE/camera_support_request.yml
@@ -0,0 +1,107 @@
 name: Camera Support Request
 description: Support for setting up cameras in Frigate
 title: "[Camera Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:
  - type: textarea
    id: description
    attributes:
      label: Describe the problem you are having
    validations:
      required: true
  - type: input
    id: version
    attributes:
      label: Version
      description: Visible on the Debug page in the Web UI
    validations:
      required: true
  - type: textarea
    id: config
    attributes:
      label: Frigate config file
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell
    validations:
      required: true
  - type: textarea
    id: ffprobe
    attributes:
      label: FFprobe output from your camera
      description: Run `ffprobe <camera_url>` and provide output below
      render: shell
    validations:
      required: true
  - type: textarea
    id: stats
    attributes:
      label: Frigate stats
      description: Output from frigate's /api/stats endpoint
      render: json
  - type: dropdown
    id: os
    attributes:
      label: Operating system
      options:
        - HassOS
        - Debian
        - Other Linux
        - Proxmox
        - UNRAID
        - Windows
        - Other
    validations:
      required: true
  - type: dropdown
    id: install-method
    attributes:
      label: Install method
      options:
        - HassOS Addon
        - Docker Compose
        - Docker CLI
    validations:
      required: true
  - type: dropdown
    id: coral
    attributes:
      label: Coral version
      options:
        - USB
        - PCIe
        - M.2
        - Dev Board
        - Other
        - CPU (no coral)
    validations:
      required: true
  - type: dropdown
    id: network
    attributes:
      label: Network connection
      options:
        - Wired
        - Wireless
        - Mixed
    validations:
      required: true
  - type: input
    id: camera
    attributes:
      label: Camera make and model
      description: Dahua, hikvision, amcrest, reolink, etc and model number
    validations:
      required: true
  - type: textarea
    id: other
    attributes:
      label: Any other information that may be helpful
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1 @@
 blank_issues_enabled: false
--- a/.github/ISSUE_TEMPLATE/config_support_request.yml
+++ b/.github/ISSUE_TEMPLATE/config_support_request.yml
@@ -0,0 +1,82 @@
 name: Config Support Request
 description: Support for Frigate configuration
 title: "[Config Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:
  - type: textarea
    id: description
    attributes:
      label: Describe the problem you are having
    validations:
      required: true
  - type: input
    id: version
    attributes:
      label: Version
      description: Visible on the Debug page in the Web UI
    validations:
      required: true
  - type: textarea
    id: config
    attributes:
      label: Frigate config file
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell
    validations:
      required: true
  - type: textarea
    id: stats
    attributes:
      label: Frigate stats
      description: Output from frigate's /api/stats endpoint
      render: json
  - type: dropdown
    id: os
    attributes:
      label: Operating system
      options:
        - HassOS
        - Debian
        - Other Linux
        - Proxmox
        - UNRAID
        - Windows
        - Other
    validations:
      required: true
  - type: dropdown
    id: install-method
    attributes:
      label: Install method
      options:
        - HassOS Addon
        - Docker Compose
        - Docker CLI
    validations:
      required: true
  - type: dropdown
    id: coral
    attributes:
      label: Coral version
      options:
        - USB
        - PCIe
        - M.2
        - Dev Board
        - Other
        - CPU (no coral)
    validations:
      required: true
  - type: textarea
    id: other
    attributes:
      label: Any other information that may be helpful
--- a/.github/ISSUE_TEMPLATE/edgetpu_support_request.yml
+++ b/.github/ISSUE_TEMPLATE/edgetpu_support_request.yml
@@ -0,0 +1,84 @@
 name: EdgeTpu Support Request
 description: Support for setting up EdgeTPU in Frigate
 title: "[EdgeTPU Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:
  - type: textarea
    id: description
    attributes:
      label: Describe the problem you are having
    validations:
      required: true
  - type: input
    id: version
    attributes:
      label: Version
      description: Visible on the Debug page in the Web UI
    validations:
      required: true
  - type: textarea
    id: config
    attributes:
      label: Frigate config file
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: docker
    attributes:
      label: docker-compose file or Docker CLI command
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell
    validations:
      required: true
  - type: dropdown
    id: os
    attributes:
      label: Operating system
      options:
        - HassOS
        - Debian
        - Other Linux
        - Proxmox
        - UNRAID
        - Windows
        - Other
    validations:
      required: true
  - type: dropdown
    id: install-method
    attributes:
      label: Install method
      options:
        - HassOS Addon
        - Docker Compose
        - Docker CLI
    validations:
      required: true
  - type: dropdown
    id: coral
    attributes:
      label: Coral version
      options:
        - USB
        - PCIe
        - M.2
        - Dev Board
        - Other
        - CPU (no coral)
    validations:
      required: true
  - type: textarea
    id: other
    attributes:
      label: Any other information that may be helpful
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ b/.github/ISSUE_TEMPLATE/feature_request.md
@@ -0,0 +1,20 @@
 ---
 name: Feature request
 about: Suggest an idea for this project
 title: ''
 labels: enhancement
 assignees: ''
 ---
 **Describe what you are trying to accomplish and why in non technical terms**
 I want to be able to ... so that I can ... 
 **Describe the solution you'd like**
 A clear and concise description of what you want to happen.
 **Describe alternatives you've considered**
 A clear and concise description of any alternative solutions or features you've considered.
 **Additional context**
 Add any other context or screenshots about the feature request here.
--- a/.github/ISSUE_TEMPLATE/general_support_request.yml
+++ b/.github/ISSUE_TEMPLATE/general_support_request.yml
@@ -0,0 +1,107 @@
 name: General Support Request
 description: General support request for Frigate
 title: "[Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:
  - type: textarea
    id: description
    attributes:
      label: Describe the problem you are having
    validations:
      required: true
  - type: input
    id: version
    attributes:
      label: Version
      description: Visible on the Debug page in the Web UI
    validations:
      required: true
  - type: textarea
    id: config
    attributes:
      label: Frigate config file
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell
    validations:
      required: true
  - type: textarea
    id: ffprobe
    attributes:
      label: FFprobe output from your camera
      description: Run `ffprobe <camera_url>` and provide output below
      render: shell
    validations:
      required: true
  - type: textarea
    id: stats
    attributes:
      label: Frigate stats
      description: Output from frigate's /api/stats endpoint
      render: json
  - type: dropdown
    id: os
    attributes:
      label: Operating system
      options:
        - HassOS
        - Debian
        - Other Linux
        - Proxmox
        - UNRAID
        - Windows
        - Other
    validations:
      required: true
  - type: dropdown
    id: install-method
    attributes:
      label: Install method
      options:
        - HassOS Addon
        - Docker Compose
        - Docker CLI
    validations:
      required: true
  - type: dropdown
    id: coral
    attributes:
      label: Coral version
      options:
        - USB
        - PCIe
        - M.2
        - Dev Board
        - Other
        - CPU (no coral)
    validations:
      required: true
  - type: dropdown
    id: network
    attributes:
      label: Network connection
      options:
        - Wired
        - Wireless
        - Mixed
    validations:
      required: true
  - type: input
    id: camera
    attributes:
      label: Camera make and model
      description: Dahua, hikvision, amcrest, reolink, etc and model number
    validations:
      required: true
  - type: textarea
    id: other
    attributes:
      label: Any other information that may be helpful
--- a/.github/ISSUE_TEMPLATE/hwaccel_support_request.yml
+++ b/.github/ISSUE_TEMPLATE/hwaccel_support_request.yml
@@ -0,0 +1,96 @@
 name: Hardware Acceleration Support Request
 description: Support for setting up GPU hardware acceleration in Frigate
 title: "[HW Accel Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:
  - type: textarea
    id: description
    attributes:
      label: Describe the problem you are having
    validations:
      required: true
  - type: input
    id: version
    attributes:
      label: Version
      description: Visible on the Debug page in the Web UI
    validations:
      required: true
  - type: textarea
    id: config
    attributes:
      label: Frigate config file
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: docker
    attributes:
      label: docker-compose file or Docker CLI command
      description: This will be automatically formatted into code, so no need for backticks.
      render: yaml
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell
    validations:
      required: true
  - type: textarea
    id: ffprobe
    attributes:
      label: FFprobe output from your camera
      description: Run `ffprobe <camera_url>` and provide output below
      render: shell
    validations:
      required: true
  - type: dropdown
    id: os
    attributes:
      label: Operating system
      options:
        - HassOS
        - Debian
        - Other Linux
        - Proxmox
        - UNRAID
        - Windows
        - Other
    validations:
      required: true
  - type: dropdown
    id: install-method
    attributes:
      label: Install method
      options:
        - HassOS Addon
        - Docker Compose
        - Docker CLI
    validations:
      required: true
  - type: dropdown
    id: network
    attributes:
      label: Network connection
      options:
        - Wired
        - Wireless
        - Mixed
    validations:
      required: true
  - type: input
    id: camera
    attributes:
      label: Camera make and model
      description: Dahua, hikvision, amcrest, reolink, etc and model number
    validations:
      required: true
  - type: textarea
    id: other
    attributes:
      label: Any other information that may be helpful
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -0,0 +1,32 @@
 version: 2
 updates:
  - package-ecosystem: "github-actions"
    directory: "/"
    schedule:
      interval: daily
    open-pull-requests-limit: 10
    target-branch: dev
  - package-ecosystem: "docker"
    directory: "/docker"
    schedule:
      interval: daily
    open-pull-requests-limit: 10
    target-branch: dev
  - package-ecosystem: "pip"
    directory: "/"
    schedule:
      interval: daily
    open-pull-requests-limit: 10
    target-branch: dev
  - package-ecosystem: "npm"
    directory: "/web"
    schedule:
      interval: daily
    open-pull-requests-limit: 10
    target-branch: dev
  - package-ecosystem: "npm"
    directory: "/docs"
    schedule:
      interval: daily
    open-pull-requests-limit: 10
    target-branch: dev
--- a/.github/stale.yml
+++ b/.github/stale.yml
@@ -1,17 +0,0 @@
 # Number of days of inactivity before an issue becomes stale
 daysUntilStale: 30
 # Number of days of inactivity before a stale issue is closed
 daysUntilClose: 3
 # Issues with these labels will never be considered stale
 exemptLabels:
  - pinned
  - security
 # Label to use when marking an issue as stale
 staleLabel: stale
 # Comment to post when marking an issue as stale. Set to `false` to disable
 markComment: >
  This issue has been automatically marked as stale because it has not had
  recent activity. It will be closed if no further activity occurs. Thank you
  for your contributions.
 # Comment to post when closing a stale issue. Set to `false` to disable
 closeComment: false
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,53 @@
 name: CI
 on:
  push:
    branches:
      - dev
      - master
 env:
  PYTHON_VERSION: 3.9
 jobs:
  multi_arch_build:
    runs-on: ubuntu-latest
    name: Image Build
    steps:
      - name: Check out code
        uses: actions/checkout@v3
      - name: Set up QEMU
        uses: docker/setup-qemu-action@v2
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v2
      - name: Log in to the Container registry
        uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - name: Create version file
        run: make version
      - name: Create short sha
        run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_ENV
      - name: Build and push
        uses: docker/build-push-action@v3
        with:
          context: .
          push: true
          platforms: linux/amd64,linux/arm64,linux/arm/v7
          target: frigate
          tags: |
            ghcr.io/blakeblackshear/frigate:${{ github.ref_name }}-${{ env.SHORT_SHA }}
          cache-from: type=gha
          cache-to: type=gha,mode=max
      - name: Build and push TensorRT
        uses: docker/build-push-action@v3
        with:
          context: .
          push: true
          platforms: linux/amd64
          target: frigate-tensorrt
          tags: |
            ghcr.io/blakeblackshear/frigate:${{ github.ref_name }}-${{ env.SHORT_SHA }}-tensorrt
          cache-from: type=gha
--- a/.github/workflows/dependabot-auto-merge.yaml
+++ b/.github/workflows/dependabot-auto-merge.yaml
@@ -0,0 +1,22 @@
 name: dependabot-auto-merge
 on: pull_request
 permissions:
  contents: write
 jobs:
  dependabot-auto-merge:
    runs-on: ubuntu-latest
    if: github.actor == 'dependabot[bot]'
    steps:
      - name: Get Dependabot metadata
        id: metadata
        uses: dependabot/fetch-metadata@v1
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
      - name: Enable auto-merge for Dependabot PRs
        if: steps.metadata.outputs.dependency-type == 'direct:development' && (steps.metadata.outputs.update-type == 'version-update:semver-minor' || steps.metadata.outputs.update-type == 'version-update:semver-patch')
        run: gh pr merge --auto --squash "$PR_URL"
        env:
          PR_URL: ${{ github.event.pull_request.html_url }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
--- a/.github/workflows/pull_request.yml
+++ b/.github/workflows/pull_request.yml
@@ -2,45 +2,101 @@ name: On pull request
 on: pull_request
 env:
  DEFAULT_PYTHON: 3.9
 jobs:
  build_devcontainer:
    runs-on: ubuntu-latest
    name: Build Devcontainer
    # The Dockerfile contains features that requires buildkit, and since the
    # devcontainer cli uses docker-compose to build the image, the only way to
    # ensure docker-compose uses buildkit is to explicitly enable it.
    env:
      DOCKER_BUILDKIT: "1"
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@master
        with:
          node-version: 16.x
      - name: Install devcontainer cli
        run: npm install --global @devcontainers/cli
      - name: Build devcontainer
        run: devcontainer build --workspace-folder .
      # It would be nice to also test the following commands, but for some
      # reason they don't work even though in VS Code devcontainer works.
      # - name: Start devcontainer
      #   run: devcontainer up --workspace-folder .
      # - name: Run devcontainer scripts
      #   run: devcontainer run-user-commands --workspace-folder .
  web_lint:
    name: Web - Lint
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@master
+      - uses: actions/checkout@v3
      - uses: actions/setup-node@master
        with:
-          node-version: 14.x
+          node-version: 16.x
      - run: npm install
        working-directory: ./web
      - name: Lint
-        run: npm run lint:cmd
+        run: npm run lint
        working-directory: ./web
  web_build:
    name: Web - Build
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@master
      - uses: actions/setup-node@master
        with:
          node-version: 14.x
      - run: npm install
        working-directory: ./web
      - name: Build
        run: npm run build
        working-directory: ./web
  web_test:
    name: Web - Test
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@master
+      - uses: actions/checkout@v3
      - uses: actions/setup-node@master
        with:
-          node-version: 14.x
+          node-version: 16.x
      - run: npm install
        working-directory: ./web
      - name: Test
        run: npm run test
        working-directory: ./web
  python_checks:
    runs-on: ubuntu-latest
    name: Python Checks
    steps:
      - name: Check out the repository
        uses: actions/checkout@v3
      - name: Set up Python ${{ env.DEFAULT_PYTHON }}
        uses: actions/setup-python@v4.5.0
        with:
          python-version: ${{ env.DEFAULT_PYTHON }}
      - name: Install requirements
        run: |
          pip install pip
          pip install -r requirements-dev.txt
      - name: Lint
        run: |
          python3 -m black frigate --check
  python_tests:
    runs-on: ubuntu-latest
    name: Python Tests
    steps:
      - name: Check out code
        uses: actions/checkout@v3
      - uses: actions/setup-node@master
        with:
          node-version: 16.x
      - run: npm install
        working-directory: ./web
      - name: Build web
        run: npm run build
        working-directory: ./web
      - name: Set up QEMU
        uses: docker/setup-qemu-action@v2
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v2
      - name: Build
        run: make
      - name: Run mypy
        run: docker run --rm --entrypoint=python3 frigate:latest -u -m mypy --config-file frigate/mypy.ini frigate
      - name: Run tests
        run: docker run --rm --entrypoint=python3 frigate:latest -u -m unittest
--- a/.github/workflows/push.yml
+++ b/.github/workflows/push.yml
@@ -1,28 +0,0 @@
 name: On push
 on:
  push:
    branches:
      - master
      - release-0.8.0
 jobs:
  deploy-docs:
    name: Deploy docs
    runs-on: ubuntu-latest
    defaults:
      run:
        working-directory: ./docs
    steps:
      - uses: actions/checkout@master
      - uses: actions/setup-node@master
        with:
          node-version: 12.x
      - run: npm install
      - name: Build docs
        run: npm run build
      - name: Deploy documentation
        uses: peaceiris/actions-gh-pages@v3
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          publish_dir: ./docs/build
--- a/.github/workflows/stale.yml
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,26 @@
 # Close Stale Issues
 # Warns and then closes issues and PRs that have had no activity for a specified amount of time.
 # https://github.com/actions/stale
 name: "Stalebot"
 on:
  schedule:
    - cron: "0 0 * * *" # run stalebot once a day
 jobs:
  stale:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@main
        id: stale
        with:
          stale-issue-message: "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
          close-issue-message: ""
          days-before-stale: 30
          days-before-close: 3
          exempt-draft-pr: true
          exempt-issue-labels: "pinned,security"
          exempt-pr-labels: "pinned,security,dependencies"
          operations-per-run: 120
      - name: Print outputs
        run: echo ${{ join(steps.stale.outputs.*, ',') }}
--- a/.gitignore
+++ b/.gitignore
@@ -2,13 +2,18 @@
 *.pyc
 *.swp
 debug
-.vscode
+.vscode/*
 !.vscode/launch.json
 config/config.yml
 models
 *.mp4
 *.ts
 *.db
 *.csv
 frigate/version.py
 web/build
 web/node_modules
 web/coverage
 core
 !/web/**/*.ts
 .idea/*
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -0,0 +1,12 @@
 {
  "version": "0.2.0",
  "configurations": [
    {
      "name": "Python: Launch Frigate",
      "type": "python",
      "request": "launch",
      "module": "frigate",
      "justMyCode": true
    }
  ]
 }
--- a/280
+++ b/280
@@ -0,0 +1,280 @@
 # syntax=docker/dockerfile:1.2
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
 FROM debian:11 AS base
 FROM --platform=linux/amd64 debian:11 AS base_amd64
 FROM debian:11-slim AS slim-base
 FROM slim-base AS wget
 ARG DEBIAN_FRONTEND
 RUN apt-get update \
    && apt-get install -y wget xz-utils \
    && rm -rf /var/lib/apt/lists/*
 WORKDIR /rootfs
 FROM base AS nginx
 ARG DEBIAN_FRONTEND
 # bind /var/cache/apt to tmpfs to speed up nginx build
 RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
    --mount=type=bind,source=docker/build_nginx.sh,target=/deps/build_nginx.sh \
    /deps/build_nginx.sh
 FROM wget AS go2rtc
 ARG TARGETARCH
 WORKDIR /rootfs/usr/local/go2rtc/bin
 RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v0.1-rc.9/go2rtc_linux_${TARGETARCH}" \
    && chmod +x go2rtc
 ####
 #
 # OpenVino Support
 #
 # 1. Download and convert a model from Intel's Public Open Model Zoo
 # 2. Build libUSB without udev to handle NCS2 enumeration
 #
 ####
 # Download and Convert OpenVino model
 FROM base_amd64 AS ov-converter
 ARG DEBIAN_FRONTEND
 # Install OpenVino Runtime and Dev library
 COPY requirements-ov.txt /requirements-ov.txt
 RUN apt-get -qq update \
    && apt-get -qq install -y wget python3 python3-distutils \
    && wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
    && python3 get-pip.py "pip" \
    && pip install -r /requirements-ov.txt
 # Get OpenVino Model
 RUN mkdir /models \
    && cd /models && omz_downloader --name ssdlite_mobilenet_v2 \
    && cd /models && omz_converter --name ssdlite_mobilenet_v2 --precision FP16
 # libUSB - No Udev
 FROM wget as libusb-build
 ARG TARGETARCH
 ARG DEBIAN_FRONTEND
 # Build libUSB without udev.  Needed for Openvino NCS2 support
 WORKDIR /opt
 RUN apt-get update && apt-get install -y unzip build-essential automake libtool
 RUN wget -q https://github.com/libusb/libusb/archive/v1.0.25.zip -O v1.0.25.zip && \
    unzip v1.0.25.zip && cd libusb-1.0.25 && \
    ./bootstrap.sh && \
    ./configure --disable-udev --enable-shared && \
    make -j $(nproc --all)
 RUN apt-get update && \
    apt-get install -y --no-install-recommends libusb-1.0-0-dev && \
    rm -rf /var/lib/apt/lists/*
 WORKDIR /opt/libusb-1.0.25/libusb
 RUN /bin/mkdir -p '/usr/local/lib' && \
    /bin/bash ../libtool  --mode=install /usr/bin/install -c libusb-1.0.la '/usr/local/lib' && \
    /bin/mkdir -p '/usr/local/include/libusb-1.0' && \
    /usr/bin/install -c -m 644 libusb.h '/usr/local/include/libusb-1.0' && \
    /bin/mkdir -p '/usr/local/lib/pkgconfig' && \
    cd  /opt/libusb-1.0.25/ && \
    /usr/bin/install -c -m 644 libusb-1.0.pc '/usr/local/lib/pkgconfig' && \
    ldconfig
 FROM wget AS models
 # Get model and labels
 RUN wget -qO edgetpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite
 RUN wget -qO cpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite
 COPY labelmap.txt .
 # Copy OpenVino model
 COPY --from=ov-converter /models/public/ssdlite_mobilenet_v2/FP16 openvino-model
 RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/dataset_classes/coco_91cl_bkgr.txt -O openvino-model/coco_91cl_bkgr.txt && \
    sed -i 's/truck/car/g' openvino-model/coco_91cl_bkgr.txt
 FROM wget AS s6-overlay
 ARG TARGETARCH
 RUN --mount=type=bind,source=docker/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
    /deps/install_s6_overlay.sh
 FROM base AS wheels
 ARG DEBIAN_FRONTEND
 ARG TARGETARCH
 # Use a separate container to build wheels to prevent build dependencies in final image
 RUN apt-get -qq update \
    && apt-get -qq install -y \
    apt-transport-https \
    gnupg \
    wget \
    && apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E \
    && echo "deb http://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list \
    && 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 && \
    rm -rf /var/lib/apt/lists/*
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
    && python3 get-pip.py "pip"
 RUN if [ "${TARGETARCH}" = "arm" ]; \
    then echo "[global]" > /etc/pip.conf \
    && echo "extra-index-url=https://www.piwheels.org/simple" >> /etc/pip.conf; \
    fi
 COPY requirements.txt /requirements.txt
 RUN pip3 install -r requirements.txt
 COPY requirements-wheels.txt /requirements-wheels.txt
 RUN pip3 wheel --wheel-dir=/wheels -r requirements-wheels.txt
 # Make this a separate target so it can be built/cached optionally
 FROM wheels as trt-wheels
 ARG DEBIAN_FRONTEND
 ARG TARGETARCH
 # Add TensorRT wheels to another folder
 COPY requirements-tensorrt.txt /requirements-tensorrt.txt
 RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r requirements-tensorrt.txt
 # Collect deps in a single layer
 FROM scratch AS deps-rootfs
 COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
 COPY --from=go2rtc /rootfs/ /
 COPY --from=libusb-build /usr/local/lib /usr/local/lib
 COPY --from=s6-overlay /rootfs/ /
 COPY --from=models /rootfs/ /
 COPY docker/rootfs/ /
 # Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
 FROM slim-base AS deps
 ARG TARGETARCH
 ARG DEBIAN_FRONTEND
 # http://stackoverflow.com/questions/48162574/ddg#49462622
 ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn
 # https://github.com/NVIDIA/nvidia-docker/wiki/Installation-(Native-GPU-Support)
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES="compute,video,utility"
 ENV PATH="/usr/lib/btbn-ffmpeg/bin:/usr/local/go2rtc/bin:/usr/local/nginx/sbin:${PATH}"
 # Install dependencies
 RUN --mount=type=bind,source=docker/install_deps.sh,target=/deps/install_deps.sh \
    /deps/install_deps.sh
 RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
    pip3 install -U /deps/wheels/*.whl
 COPY --from=deps-rootfs / /
 RUN ldconfig
 EXPOSE 5000
 EXPOSE 1935
 EXPOSE 8554
 EXPOSE 8555
 # Fails if cont-init.d fails
 ENV S6_BEHAVIOUR_IF_STAGE2_FAILS=2
 # Wait indefinitely for cont-init.d to finish before starting services
 ENV S6_CMD_WAIT_FOR_SERVICES=1
 ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
 # Give services (including Frigate) 30 seconds to stop before killing them
 # But this is not working currently because of:
 # https://github.com/just-containers/s6-overlay/issues/503
 ENV S6_SERVICES_GRACETIME=30000
 # Configure logging to prepend timestamps, log to stdout, keep 0 archives and rotate on 10MB
 ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
 # TODO: remove after a new version of s6-overlay is released. See:
 # https://github.com/just-containers/s6-overlay/issues/460#issuecomment-1327127006
 ENV S6_SERVICES_READYTIME=50
 ENTRYPOINT ["/init"]
 CMD []
 # Frigate deps with Node.js and NPM for devcontainer
 FROM deps AS devcontainer
 # Do not start the actual Frigate service on devcontainer as it will be started by VSCode
 # But start a fake service for simulating the logs
 COPY docker/fake_frigate_run /etc/services.d/frigate/run
 # Install Node 16
 RUN apt-get update \
    && apt-get install wget -y \
    && wget -qO- https://deb.nodesource.com/setup_16.x | bash - \
    && apt-get install -y nodejs \
    && rm -rf /var/lib/apt/lists/* \
    && npm install -g npm@9
 WORKDIR /workspace/frigate
 RUN apt-get update \
    && apt-get install make -y \
    && rm -rf /var/lib/apt/lists/*
 RUN --mount=type=bind,source=./requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
    pip3 install -r requirements-dev.txt
 CMD ["sleep", "infinity"]
 # Frigate web build
 # force this to run on amd64 because QEMU is painfully slow
 FROM --platform=linux/amd64 node:16 AS web-build
 WORKDIR /work
 COPY web/package.json web/package-lock.json ./
 RUN npm install
 COPY web/ ./
 RUN npm run build \
    && mv dist/BASE_PATH/monacoeditorwork/* dist/assets/ \
    && rm -rf dist/BASE_PATH
 # Collect final files in a single layer
 FROM scratch AS rootfs
 WORKDIR /opt/frigate/
 COPY frigate frigate/
 COPY migrations migrations/
 COPY --from=web-build /work/dist/ web/
 # Frigate final container
 FROM deps AS frigate
 WORKDIR /opt/frigate/
 COPY --from=rootfs / /
 # Frigate w/ TensorRT Support as separate image
 FROM frigate AS frigate-tensorrt
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
    pip3 install -U /deps/trt-wheels/*.whl && \
    ln -s libnvrtc.so.11.2 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib/libnvrtc.so && \
    ldconfig
 # Dev Container w/ TRT
 FROM devcontainer AS devcontainer-trt
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
    pip3 install -U /deps/trt-wheels/*.whl
--- a/76
+++ b/76
@@ -1,62 +1,42 @@
-default_target: amd64_frigate
+default_target: local
 COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
 VERSION = 0.12.0
 IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
 CURRENT_UID := $(shell id -u)
 CURRENT_GID := $(shell id -g)
 version:
-	echo "VERSION='0.9.0-$(COMMIT_HASH)'" > frigate/version.py
+	echo 'VERSION = "$(VERSION)-$(COMMIT_HASH)"' > frigate/version.py
-web:
+local: version
-	docker build --tag frigate-web --file docker/Dockerfile.web web/
+	docker buildx build --target=frigate --tag frigate:latest --load .
-amd64_wheels:
+local-trt: version
-	docker build --tag blakeblackshear/frigate-wheels:1.0.3-amd64 --file docker/Dockerfile.wheels .
+	docker buildx build --target=frigate-tensorrt --tag frigate:latest-tensorrt --load .
-amd64_ffmpeg:
+amd64:
-	docker build --no-cache --pull --tag blakeblackshear/frigate-ffmpeg:1.2.0-amd64 --file docker/Dockerfile.ffmpeg.amd64 .
+	docker buildx build --platform linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
 	docker buildx build --platform linux/amd64 --target=frigate-tensorrt --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH)-tensorrt .
-nginx_frigate:
+arm64:
-	docker buildx build --push --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --tag blakeblackshear/frigate-nginx:1.0.2 --file docker/Dockerfile.nginx .
+	docker buildx build --platform linux/arm64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
-amd64_frigate: version web
+armv7:
-	docker build --no-cache --tag frigate-base --build-arg ARCH=amd64 --build-arg FFMPEG_VERSION=1.1.0 --build-arg WHEELS_VERSION=1.0.3 --build-arg NGINX_VERSION=1.0.2 --file docker/Dockerfile.base .
+	docker buildx build --platform linux/arm/v7 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
 	docker build --no-cache --tag frigate --file docker/Dockerfile.amd64 .
-amd64_all: amd64_wheels amd64_ffmpeg amd64_frigate
+build: version amd64 arm64 armv7
 	docker buildx build --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
-amd64nvidia_wheels:
+push: build
-	docker build --tag blakeblackshear/frigate-wheels:1.0.3-amd64nvidia --file docker/Dockerfile.wheels .
+	docker buildx build --push --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH) .
 	docker buildx build --push --platform linux/amd64 --target=frigate-tensorrt --tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt .
-amd64nvidia_ffmpeg:
+run: local
-	docker build --no-cache --pull --tag blakeblackshear/frigate-ffmpeg:1.2.0-amd64nvidia --file docker/Dockerfile.ffmpeg.amd64nvidia .
+	docker run --rm --publish=5000:5000 --volume=${PWD}/config/config.yml:/config/config.yml frigate:latest
-amd64nvidia_frigate: version web
+run_tests: local
-	docker build --no-cache --tag frigate-base --build-arg ARCH=amd64nvidia --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --build-arg NGINX_VERSION=1.0.2 --file docker/Dockerfile.base .
+	docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest python3 -u -m unittest
-	docker build --no-cache --tag frigate --file docker/Dockerfile.amd64nvidia .
+	docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest python3 -u -m mypy --config-file frigate/mypy.ini frigate
-amd64nvidia_all: amd64nvidia_wheels amd64nvidia_ffmpeg amd64nvidia_frigate
+.PHONY: run_tests
 aarch64_wheels:
 	docker build --tag blakeblackshear/frigate-wheels:1.0.3-aarch64 --file docker/Dockerfile.wheels .
 aarch64_ffmpeg:
 	docker build --no-cache --pull --tag blakeblackshear/frigate-ffmpeg:1.2.0-aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
 aarch64_frigate: version web
 	docker build --no-cache --tag frigate-base --build-arg ARCH=aarch64 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --build-arg NGINX_VERSION=1.0.2 --file docker/Dockerfile.base .
 	docker build --no-cache --tag frigate --file docker/Dockerfile.aarch64 .
 armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
 armv7_wheels:
 	docker build --tag blakeblackshear/frigate-wheels:1.0.3-armv7 --file docker/Dockerfile.wheels .
 armv7_ffmpeg:
 	docker build --no-cache --pull --tag blakeblackshear/frigate-ffmpeg:1.2.0-armv7 --file docker/Dockerfile.ffmpeg.armv7 .
 armv7_frigate: version web
 	docker build --no-cache --tag frigate-base --build-arg ARCH=armv7 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.3 --build-arg NGINX_VERSION=1.0.2 --file docker/Dockerfile.base .
 	docker build --no-cache --tag frigate --file docker/Dockerfile.armv7 .
 armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
 .PHONY: web
--- a/README.md
+++ b/README.md
@@ -16,11 +16,12 @@ Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but
 - Communicates over MQTT for easy integration into other systems
 - Records video with retention settings based on detected objects
 - 24/7 recording
- Re-streaming via RTMP to reduce the number of connections to your camera
+- Re-streaming via RTSP to reduce the number of connections to your camera
 - WebRTC & MSE support for low-latency live view
 ## Documentation
-View the documentation at https://blakeblackshear.github.io/frigate
+View the documentation at https://docs.frigate.video
 ## Donations
--- a/benchmark.py
+++ b/benchmark.py
@@ -3,10 +3,16 @@ from statistics import mean
 import multiprocessing as mp
 import numpy as np
 import datetime
-from frigate.edgetpu import LocalObjectDetector, EdgeTPUProcess, RemoteObjectDetector, load_labels
+from frigate.config import DetectorTypeEnum
 from frigate.object_detection import (
    LocalObjectDetector,
    ObjectDetectProcess,
    RemoteObjectDetector,
    load_labels,
 )
-my_frame = np.expand_dims(np.full((300,300,3), 1, np.uint8), axis=0)
+my_frame = np.expand_dims(np.full((300, 300, 3), 1, np.uint8), axis=0)
-labels = load_labels('/labelmap.txt')
+labels = load_labels("/labelmap.txt")
 ######
 # Minimal same process runner
@@ -39,20 +45,23 @@ labels = load_labels('/labelmap.txt')
 def start(id, num_detections, detection_queue, event):
-  object_detector = RemoteObjectDetector(str(id), '/labelmap.txt', detection_queue, event)
+    object_detector = RemoteObjectDetector(
-  start = datetime.datetime.now().timestamp()
+        str(id), "/labelmap.txt", detection_queue, event
    )
    start = datetime.datetime.now().timestamp()
-  frame_times = []
+    frame_times = []
-  for x in range(0, num_detections):
+    for x in range(0, num_detections):
-    start_frame = datetime.datetime.now().timestamp()
+        start_frame = datetime.datetime.now().timestamp()
-    detections = object_detector.detect(my_frame)
+        detections = object_detector.detect(my_frame)
-    frame_times.append(datetime.datetime.now().timestamp()-start_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")
  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
@@ -71,23 +80,29 @@ camera_processes = []
 events = {}
 for x in range(0, 10):
-  events[str(x)] = mp.Event()
+    events[str(x)] = mp.Event()
 detection_queue = mp.Queue()
-edgetpu_process_1 = EdgeTPUProcess(detection_queue, events, 'usb:0')
+edgetpu_process_1 = ObjectDetectProcess(
-edgetpu_process_2 = EdgeTPUProcess(detection_queue, events, 'usb:1')
+    detection_queue, events, DetectorTypeEnum.edgetpu, "usb:0"
 )
 edgetpu_process_2 = ObjectDetectProcess(
    detection_queue, events, DetectorTypeEnum.edgetpu, "usb:1"
 )
 for x in range(0, 10):
-  camera_process = mp.Process(target=start, args=(x, 300, detection_queue, events[str(x)]))
+    camera_process = mp.Process(
-  camera_process.daemon = True
+        target=start, args=(x, 300, detection_queue, events[str(x)])
-  camera_processes.append(camera_process)
+    )
    camera_process.daemon = True
    camera_processes.append(camera_process)
 start_time = datetime.datetime.now().timestamp()
 for p in camera_processes:
-  p.start()
+    p.start()
 for p in camera_processes:
-  p.join()
+    p.join()
-duration = datetime.datetime.now().timestamp()-start_time
+duration = datetime.datetime.now().timestamp() - start_time
-print(f"Total - Processed for {duration:.2f} seconds.")
+print(f"Total - Processed for {duration:.2f} seconds.")
--- a/config/config.yml.example
+++ b/config/config.yml.example
@@ -0,0 +1,16 @@
 mqtt:
  host: mqtt
 cameras:
  test:
    ffmpeg:
      inputs:
        - path: /media/frigate/car-stopping.mp4
          input_args: -re -stream_loop -1 -fflags +genpts
          roles:
            - detect
            - rtmp
    detect:
      height: 1080
      width: 1920
      fps: 5
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,27 +1,37 @@
 version: "3"
 services:
-  dev:
+  devcontainer:
-    container_name: frigate-dev
+    container_name: frigate-devcontainer
-    user: vscode
+    # add groups from host for render, plugdev, video
-    privileged: true
+    group_add:
      - "109" # render
      - "110" # render
      - "44"  # video
      - "46"  # plugdev
    shm_size: "256mb"
    build:
      context: .
-      dockerfile: docker/Dockerfile.dev
+      # Use target devcontainer-trt for TensorRT dev
      target: devcontainer
    deploy:
          resources:
              reservations:
                  devices:
                      - driver: nvidia
                        count: 1
                        capabilities: [gpu]
    devices:
      - /dev/bus/usb:/dev/bus/usb
      # - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - .:/workspace/frigate:cached
      - ./web/dist:/opt/frigate/web:cached
      - /etc/localtime:/etc/localtime:ro
      - .:/lab/frigate:cached
      - ./config/config.yml:/config/config.yml:ro
      - ./debug:/media/frigate
      # Create the trt-models folder using the documented method of generating TRT models
      # - ./debug/trt-models:/trt-models
      - /dev/bus/usb:/dev/bus/usb
      - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
    ports:
      - "1935:1935"
      - "5000:5000"
      - "5001:5001"
      - "8080:8080"
    entrypoint: ["sudo", "/init"]
    command: /bin/sh -c "while sleep 1000; do :; done"
  mqtt:
    container_name: mqtt
    image: eclipse-mosquitto:1.6
--- a/docker/Dockerfile.aarch64
+++ b/docker/Dockerfile.aarch64
@@ -1,28 +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 \
    && rm -rf /var/lib/apt/lists/* \
    && (apt-get autoremove -y; apt-get autoclean -y)
 # s6-overlay
 ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-aarch64-installer /tmp/
 RUN chmod +x /tmp/s6-overlay-aarch64-installer && /tmp/s6-overlay-aarch64-installer /
 ENTRYPOINT ["/init"]
 CMD ["python3", "-u", "-m", "frigate"]
--- a/docker/Dockerfile.amd64
+++ b/docker/Dockerfile.amd64
@@ -1,28 +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 wget -qO - https://repositories.intel.com/graphics/intel-graphics.key | apt-key add - \
    && echo 'deb [arch=amd64] https://repositories.intel.com/graphics/ubuntu focal main' > /etc/apt/sources.list.d/intel-graphics.list \
    && apt-key adv --keyserver keyserver.ubuntu.com --recv-keys F63F0F2B90935439 \
    && echo 'deb http://ppa.launchpad.net/kisak/kisak-mesa/ubuntu focal main' > /etc/apt/sources.list.d/kisak-mesa-focal.list
 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-non-free mesa-vdpau-drivers mesa-va-drivers mesa-vdpau-drivers libdrm-radeon1 \
    && rm -rf /var/lib/apt/lists/* \
    && (apt-get autoremove -y; apt-get autoclean -y)
 # s6-overlay
 ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-amd64-installer /tmp/
 RUN chmod +x /tmp/s6-overlay-amd64-installer && /tmp/s6-overlay-amd64-installer /
 ENTRYPOINT ["/init"]
 CMD ["python3", "-u", "-m", "frigate"]
--- a/docker/Dockerfile.amd64nvidia
+++ b/docker/Dockerfile.amd64nvidia
@@ -1,51 +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 \
    && 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:${PATH}
 ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
 # nvidia-container-runtime
 ENV NVIDIA_VISIBLE_DEVICES all
 ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
 ENV NVIDIA_REQUIRE_CUDA "cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451"
 # s6-overlay
 ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-amd64-installer /tmp/
 RUN chmod +x /tmp/s6-overlay-amd64-installer && /tmp/s6-overlay-amd64-installer /
 ENTRYPOINT ["/init"]
 CMD ["python3", "-u", "-m", "frigate"]
--- a/docker/Dockerfile.armv7
+++ b/docker/Dockerfile.armv7
@@ -1,30 +0,0 @@
 FROM frigate-base
 LABEL maintainer "blakeb@blakeshome.com"
 ENV DEBIAN_FRONTEND=noninteractive
 # Install packages for apt repo
 RUN apt-get -qq update \
    && apt-get -qq install --no-install-recommends -y \
    # ffmpeg runtime dependencies
    libgomp1 \
    # runtime dependencies
    libopenexr24 \
    libgstreamer1.0-0 \
    libgstreamer-plugins-base1.0-0 \
    libopenblas-base \
    libjpeg-turbo8 \
    libpng16-16 \
    libtiff5 \
    libdc1394-22 \
    libaom0 \
    libx265-179 \
    && rm -rf /var/lib/apt/lists/* \
    && (apt-get autoremove -y; apt-get autoclean -y)
 # s6-overlay
 ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-armhf-installer /tmp/
 RUN chmod +x /tmp/s6-overlay-armhf-installer && /tmp/s6-overlay-armhf-installer /
 ENTRYPOINT ["/init"]
 CMD ["python3", "-u", "-m", "frigate"]
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -1,55 +0,0 @@
 ARG ARCH=amd64
 ARG WHEELS_VERSION
 ARG FFMPEG_VERSION
 ARG NGINX_VERSION
 FROM blakeblackshear/frigate-wheels:${WHEELS_VERSION}-${ARCH} as wheels
 FROM blakeblackshear/frigate-ffmpeg:${FFMPEG_VERSION}-${ARCH} as ffmpeg
 FROM blakeblackshear/frigate-nginx:${NGINX_VERSION} as nginx
 FROM frigate-web as web
 FROM ubuntu:20.04
 LABEL maintainer "blakeb@blakeshome.com"
 COPY --from=ffmpeg /usr/local /usr/local/
 COPY --from=wheels /wheels/. /wheels/
 ENV FLASK_ENV=development
 # ENV FONTCONFIG_PATH=/etc/fonts
 ENV DEBIAN_FRONTEND=noninteractive
 # Install packages for apt repo
 RUN apt-get -qq update \
    && apt-get upgrade -y \
    && apt-get -qq install --no-install-recommends -y gnupg wget unzip tzdata libxml2 \
    && 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 python3-tflite-runtime python3-pycoral \
    && rm -rf /var/lib/apt/lists/* /wheels \
    && (apt-get autoremove -y; apt-get autoclean -y)
 RUN pip3 install \
    peewee_migrate \
    pydantic \
    zeroconf \
    ws4py
 COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
 # get model and labels
 COPY labelmap.txt /labelmap.txt
 RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite -O /edgetpu_model.tflite
 RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess.tflite -O /cpu_model.tflite
 WORKDIR /opt/frigate/
 ADD frigate frigate/
 ADD migrations migrations/
 COPY --from=web /opt/frigate/build web/
 COPY docker/rootfs/ /
 EXPOSE 5000
 EXPOSE 1935
--- a/docker/Dockerfile.dev
+++ b/docker/Dockerfile.dev
@@ -1,24 +0,0 @@
 FROM frigate:latest
 ARG USERNAME=vscode
 ARG USER_UID=1000
 ARG USER_GID=$USER_UID
 # Create the user
 RUN groupadd --gid $USER_GID $USERNAME \
    && useradd --uid $USER_UID --gid $USER_GID -m $USERNAME \
    #
    # [Optional] Add sudo support. Omit if you don't need to install software after connecting.
    && apt-get update \
    && apt-get install -y sudo \
    && echo $USERNAME ALL=\(root\) NOPASSWD:ALL > /etc/sudoers.d/$USERNAME \
    && chmod 0440 /etc/sudoers.d/$USERNAME
 RUN apt-get update \
    && apt-get install -y git curl vim htop
 RUN pip3 install pylint black
 # Install Node 14
 RUN curl -sL https://deb.nodesource.com/setup_14.x | bash - \
    && apt-get install -y nodejs
--- a/docker/Dockerfile.ffmpeg.aarch64
+++ b/docker/Dockerfile.ffmpeg.aarch64
@@ -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=4.3.2 \
        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
--- a/docker/Dockerfile.ffmpeg.amd64
+++ b/docker/Dockerfile.ffmpeg.amd64
@@ -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=4.3.2 \
        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/*
--- a/docker/Dockerfile.ffmpeg.amd64nvidia
+++ b/docker/Dockerfile.ffmpeg.amd64nvidia
@@ -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=4.3.2 \
        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
--- a/docker/Dockerfile.ffmpeg.armv7
+++ b/docker/Dockerfile.ffmpeg.armv7
@@ -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=4.3.2 \
        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/
--- a/docker/Dockerfile.nginx
+++ b/docker/Dockerfile.nginx
@@ -1,52 +0,0 @@
 FROM ubuntu:20.04 AS base
 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
 ARG NGINX_VERSION=1.18.0
 ARG VOD_MODULE_VERSION=1.28
 ARG SECURE_TOKEN_MODULE_VERSION=1.4
 ARG RTMP_MODULE_VERSION=1.2.1
 RUN cp /etc/apt/sources.list /etc/apt/sources.list~ \
    && sed -Ei 's/^# deb-src /deb-src /' /etc/apt/sources.list \
    && apt-get update
 RUN apt-get -yqq build-dep nginx
 RUN apt-get -yqq install --no-install-recommends curl \
    && mkdir /tmp/nginx \
    && curl -sL https://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz | tar -C /tmp/nginx -zx --strip-components=1 \
    && mkdir /tmp/nginx-vod-module \
    && curl -sL https://github.com/kaltura/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz | tar -C /tmp/nginx-vod-module -zx --strip-components=1 \
    # Patch MAX_CLIPS to allow more clips to be added than the default 128
    && sed -i 's/MAX_CLIPS (128)/MAX_CLIPS (1080)/g' /tmp/nginx-vod-module/vod/media_set.h \
    && mkdir /tmp/nginx-secure-token-module \
    && curl -sL https://github.com/kaltura/nginx-secure-token-module/archive/refs/tags/${SECURE_TOKEN_MODULE_VERSION}.tar.gz | tar -C /tmp/nginx-secure-token-module -zx --strip-components=1 \
    && mkdir /tmp/nginx-rtmp-module \
    && curl -sL https://github.com/arut/nginx-rtmp-module/archive/refs/tags/v${RTMP_MODULE_VERSION}.tar.gz | tar -C /tmp/nginx-rtmp-module -zx --strip-components=1
 WORKDIR /tmp/nginx
 RUN ./configure --prefix=/usr/local/nginx \
    --with-file-aio \
    --with-http_sub_module \
    --with-http_ssl_module \
    --with-threads \
    --add-module=../nginx-vod-module \
    --add-module=../nginx-secure-token-module \
    --add-module=../nginx-rtmp-module \
    --with-cc-opt="-O3 -Wno-error=implicit-fallthrough"
 RUN make && make install
 RUN rm -rf /usr/local/nginx/html /usr/local/nginx/conf/*.default
 FROM base
 COPY --from=build /usr/local/nginx /usr/local/nginx
 ENTRYPOINT ["/usr/local/nginx/sbin/nginx"]
 CMD ["-g", "daemon off;"]
--- a/docker/Dockerfile.web
+++ b/docker/Dockerfile.web
@@ -1,9 +0,0 @@
 ARG NODE_VERSION=14.0
 FROM node:${NODE_VERSION}
 WORKDIR /opt/frigate
 COPY . .
 RUN npm install && npm run build
--- a/docker/Dockerfile.wheels
+++ b/docker/Dockerfile.wheels
@@ -1,41 +0,0 @@
 FROM ubuntu:20.04 as build
 ENV DEBIAN_FRONTEND=noninteractive
 RUN apt-get -qq update \
    && apt-get -qq install -y \
    python3 \
    python3-dev \
    wget \
    # opencv dependencies
    build-essential cmake git pkg-config libgtk-3-dev \
    libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
    libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
    gfortran openexr libatlas-base-dev libssl-dev\
    libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
    libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
    # scipy dependencies
    gcc gfortran libopenblas-dev liblapack-dev cython
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
    && python3 get-pip.py "pip==20.2.4"
 RUN pip3 install scikit-build
 RUN pip3 wheel --wheel-dir=/wheels \
    opencv-python-headless \
    numpy \
    imutils \
    scipy \
    psutil \
    Flask \
    paho-mqtt \
    PyYAML \
    matplotlib \
    click \
    setproctitle \
    peewee
 FROM scratch
 COPY --from=build /wheels /wheels
--- a/docker/build_nginx.sh
+++ b/docker/build_nginx.sh
@@ -0,0 +1,66 @@
 #!/bin/bash
 set -euxo pipefail
 NGINX_VERSION="1.22.1"
 VOD_MODULE_VERSION="1.30"
 SECURE_TOKEN_MODULE_VERSION="1.4"
 RTMP_MODULE_VERSION="1.2.1"
 cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
 sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
 apt-get update
 apt-get -yqq build-dep nginx
 apt-get -yqq install --no-install-recommends ca-certificates wget
 update-ca-certificates -f
 mkdir /tmp/nginx
 wget -nv https://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz
 tar -zxf nginx-${NGINX_VERSION}.tar.gz -C /tmp/nginx --strip-components=1
 rm nginx-${NGINX_VERSION}.tar.gz
 mkdir /tmp/nginx-vod-module
 wget -nv https://github.com/kaltura/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz
 tar -zxf ${VOD_MODULE_VERSION}.tar.gz -C /tmp/nginx-vod-module --strip-components=1
 rm ${VOD_MODULE_VERSION}.tar.gz
    # Patch MAX_CLIPS to allow more clips to be added than the default 128
 sed -i 's/MAX_CLIPS (128)/MAX_CLIPS (1080)/g' /tmp/nginx-vod-module/vod/media_set.h
 patch -d /tmp/nginx-vod-module/ -p1 << 'EOF'
 --- a/vod/avc_hevc_parser.c       2022-06-27 11:38:10.000000000 +0000
 +++ b/vod/avc_hevc_parser.c       2023-01-16 11:25:10.900521298 +0000
@@ -3,6 +3,9 @@
 bool_t
 avc_hevc_parser_rbsp_trailing_bits(bit_reader_state_t* reader)
 {
 +	// https://github.com/blakeblackshear/frigate/issues/4572
 +	return TRUE;
 +
 	uint32_t one_bit;
 	if (reader->stream.eof_reached)
 EOF
 mkdir /tmp/nginx-secure-token-module
 wget https://github.com/kaltura/nginx-secure-token-module/archive/refs/tags/${SECURE_TOKEN_MODULE_VERSION}.tar.gz
 tar -zxf ${SECURE_TOKEN_MODULE_VERSION}.tar.gz -C /tmp/nginx-secure-token-module --strip-components=1
 rm ${SECURE_TOKEN_MODULE_VERSION}.tar.gz
 mkdir /tmp/nginx-rtmp-module
 wget -nv https://github.com/arut/nginx-rtmp-module/archive/refs/tags/v${RTMP_MODULE_VERSION}.tar.gz
 tar -zxf v${RTMP_MODULE_VERSION}.tar.gz -C /tmp/nginx-rtmp-module --strip-components=1
 rm v${RTMP_MODULE_VERSION}.tar.gz
 cd /tmp/nginx
 ./configure --prefix=/usr/local/nginx \
    --with-file-aio \
    --with-http_sub_module \
    --with-http_ssl_module \
    --with-threads \
    --add-module=../nginx-vod-module \
    --add-module=../nginx-secure-token-module \
    --add-module=../nginx-rtmp-module \
    --with-cc-opt="-O3 -Wno-error=implicit-fallthrough"
 make -j$(nproc) && make install
 rm -rf /usr/local/nginx/html /usr/local/nginx/conf/*.default
--- a/docker/fake_frigate_run
+++ b/docker/fake_frigate_run
@@ -0,0 +1,8 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Start the fake Frigate service
 while true; do
  echo "The fake Frigate service is running..."
  sleep 5s
 done
--- a/docker/install_deps.sh
+++ b/docker/install_deps.sh
@@ -0,0 +1,86 @@
 #!/bin/bash
 set -euxo pipefail
 apt-get -qq update
 apt-get -qq install --no-install-recommends -y \
    apt-transport-https \
    gnupg \
    wget \
    procps vainfo \
    unzip locales tzdata libxml2 xz-utils \
    python3-pip
 mkdir -p -m 600 /root/.gnupg
 # add coral repo
 wget --quiet -O /usr/share/keyrings/google-edgetpu.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg
 echo "deb [signed-by=/usr/share/keyrings/google-edgetpu.gpg] https://packages.cloud.google.com/apt coral-edgetpu-stable main" | tee /etc/apt/sources.list.d/coral-edgetpu.list
 echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections
 # enable non-free repo
 sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
 # coral drivers
 apt-get -qq update
 apt-get -qq install --no-install-recommends --no-install-suggests -y \
    libedgetpu1-max python3-tflite-runtime python3-pycoral
 # btbn-ffmpeg -> amd64
 if [[ "${TARGETARCH}" == "amd64" ]]; then
    mkdir -p /usr/lib/btbn-ffmpeg
    wget -qO btbn-ffmpeg.tar.xz "https://github.com/BtbN/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
    tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/btbn-ffmpeg --strip-components 1
    rm -rf btbn-ffmpeg.tar.xz /usr/lib/btbn-ffmpeg/doc /usr/lib/btbn-ffmpeg/bin/ffplay
 fi
 # ffmpeg -> arm32
 if [[ "${TARGETARCH}" == "arm" ]]; then
    # add raspberry pi repo
    gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E
    echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] http://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list
    apt-get -qq update
    apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
 fi
 # ffmpeg -> arm64
 if [[ "${TARGETARCH}" == "arm64" ]]; then
    # add raspberry pi repo
    gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 82B129927FA3303E
    echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] https://archive.raspberrypi.org/debian/ bullseye main" | tee /etc/apt/sources.list.d/raspi.list
    apt-get -qq update
    apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
 fi
 # arch specific packages
 if [[ "${TARGETARCH}" == "amd64" ]]; then
    # Use debian testing repo only for hwaccel packages
    echo 'deb http://deb.debian.org/debian testing main non-free' >/etc/apt/sources.list.d/debian-testing.list
    apt-get -qq update
    # intel-opencl-icd specifically for GPU support in OpenVino
    apt-get -qq install --no-install-recommends --no-install-suggests -y \
        intel-opencl-icd \
        mesa-va-drivers libva-drm2 intel-media-va-driver-non-free i965-va-driver libmfx1 radeontop intel-gpu-tools
    rm -f /etc/apt/sources.list.d/debian-testing.list
 fi
 if [[ "${TARGETARCH}" == "arm64" ]]; then
    apt-get -qq install --no-install-recommends --no-install-suggests -y \
        libva-drm2 mesa-va-drivers
 fi
 # not sure why 32bit arm requires all these
 if [[ "${TARGETARCH}" == "arm" ]]; then
    apt-get -qq install --no-install-recommends --no-install-suggests -y \
        libgtk-3-dev \
        libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
        libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
        gfortran openexr libatlas-base-dev libtbb-dev libdc1394-22-dev libopenexr-dev \
        libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
 fi
 apt-get purge gnupg apt-transport-https wget xz-utils -y
 apt-get clean autoclean -y
 apt-get autoremove --purge -y
 rm -rf /var/lib/apt/lists/*
--- a/docker/install_s6_overlay.sh
+++ b/docker/install_s6_overlay.sh
@@ -0,0 +1,21 @@
 #!/bin/bash
 set -euxo pipefail
 s6_version="3.1.2.1"
 if [[ "${TARGETARCH}" == "amd64" ]]; then
    s6_arch="x86_64"
 elif [[ "${TARGETARCH}" == "arm" ]]; then
    s6_arch="armhf"
 elif [[ "${TARGETARCH}" == "arm64" ]]; then
    s6_arch="aarch64"
 fi
 mkdir -p /rootfs/
 wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-noarch.tar.xz" |
    tar -C /rootfs/ -Jxpf -
 wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-${s6_arch}.tar.xz" |
    tar -C /rootfs/ -Jxpf -
--- a/docker/rootfs/etc/cont-init.d/prepare-logs.sh
+++ b/docker/rootfs/etc/cont-init.d/prepare-logs.sh
@@ -0,0 +1,11 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Prepare the logs folder for s6-log
 set -o errexit -o nounset -o pipefail
 dirs=(/dev/shm/logs/frigate /dev/shm/logs/go2rtc /dev/shm/logs/nginx)
 mkdir -p "${dirs[@]}"
 chown nobody:nogroup "${dirs[@]}"
 chmod 02755 "${dirs[@]}"
--- a/docker/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf
+++ b/docker/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf
@@ -0,0 +1,5 @@
 /usr/local/lib/python3.9/dist-packages/nvidia/cudnn/lib
 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_runtime/lib
 /usr/local/lib/python3.9/dist-packages/nvidia/cublas/lib
 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib
 /usr/local/lib/python3.9/dist-packages/tensorrt
--- a/docker/rootfs/etc/services.d/frigate/finish
+++ b/docker/rootfs/etc/services.d/frigate/finish
@@ -0,0 +1,16 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Take down the S6 supervision tree when the service exits
 set -o errexit -o nounset -o pipefail
 # Prepare exit code
 if [[ "${1}" -eq 256 ]]; then
  exit_code="$((128 + ${2}))"
 else
  exit_code="${1}"
 fi
 # Make the container exit with the same exit code as the service
 echo "${exit_code}" > /run/s6-linux-init-container-results/exitcode
 exec /run/s6/basedir/bin/halt
--- a/docker/rootfs/etc/services.d/frigate/log/run
+++ b/docker/rootfs/etc/services.d/frigate/log/run
@@ -0,0 +1,4 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 exec logutil-service /dev/shm/logs/frigate
--- a/docker/rootfs/etc/services.d/frigate/run
+++ b/docker/rootfs/etc/services.d/frigate/run
@@ -0,0 +1,11 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Start the Frigate service
 set -o errexit -o nounset -o pipefail
 cd /opt/frigate
 # Replace the bash process with the Frigate process, redirecting stderr to stdout
 exec 2>&1
 exec python3 -u -m frigate
--- a/docker/rootfs/etc/services.d/go2rtc/finish
+++ b/docker/rootfs/etc/services.d/go2rtc/finish
@@ -0,0 +1,8 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Take down the S6 supervision tree when the service fails, or restart it
 # otherwise
 if [[ "${1}" -ne 0 && "${1}" -ne 256 ]]; then
  exec /run/s6/basedir/bin/halt
 fi
--- a/docker/rootfs/etc/services.d/go2rtc/log/run
+++ b/docker/rootfs/etc/services.d/go2rtc/log/run
@@ -0,0 +1,4 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 exec logutil-service /dev/shm/logs/go2rtc
--- a/docker/rootfs/etc/services.d/go2rtc/run
+++ b/docker/rootfs/etc/services.d/go2rtc/run
@@ -0,0 +1,11 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 # Start the go2rtc service
 set -o errexit -o nounset -o pipefail
 raw_config=$(python3 /usr/local/go2rtc/create_config.py)
 # Replace the bash process with the go2rtc process, redirecting stderr to stdout
 exec 2>&1
 exec go2rtc -config="${raw_config}"
--- a/docker/rootfs/etc/services.d/nginx/finish
+++ b/docker/rootfs/etc/services.d/nginx/finish
@@ -1,5 +1,8 @@
-#!/usr/bin/execlineb -S1
+#!/command/with-contenv bash
-if { s6-test ${1} -ne 0 }
+# shellcheck shell=bash
-if { s6-test ${1} -ne 256 }
+# Take down the S6 supervision tree when the service fails, or restart it
 # otherwise
-s6-svscanctl -t /var/run/s6/services
+if [[ "${1}" -ne 0 && "${1}" -ne 256 ]]; then
  exec /run/s6/basedir/bin/halt
 fi
--- a/docker/rootfs/etc/services.d/nginx/log/run
+++ b/docker/rootfs/etc/services.d/nginx/log/run
@@ -0,0 +1,4 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 exec logutil-service /dev/shm/logs/nginx
--- a/docker/rootfs/etc/services.d/nginx/run
+++ b/docker/rootfs/etc/services.d/nginx/run
@@ -1,2 +1,7 @@
-#!/usr/bin/execlineb -P
+#!/command/with-contenv bash
-/usr/local/nginx/sbin/nginx
+# shellcheck shell=bash
 # Start the NGINX service
 # Replace the bash process with the NGINX process, redirecting stderr to stdout
 exec 2>&1
 exec nginx
--- a/docker/rootfs/usr/local/bin/frigate
+++ b/docker/rootfs/usr/local/bin/frigate
@@ -0,0 +1,5 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash
 exec 2>&1
 exec python3 -u -m frigate "${@}"
--- a/docker/rootfs/usr/local/go2rtc/create_config.py
+++ b/docker/rootfs/usr/local/go2rtc/create_config.py
@@ -0,0 +1,31 @@
 """Creates a go2rtc config file."""
 import json
 import os
 import yaml
 config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
 # Check if we can use .yaml instead of .yml
 config_file_yaml = config_file.replace(".yml", ".yaml")
 if os.path.isfile(config_file_yaml):
    config_file = config_file_yaml
 with open(config_file) as f:
    raw_config = f.read()
 if config_file.endswith((".yaml", ".yml")):
    config = yaml.safe_load(raw_config)
 elif config_file.endswith(".json"):
    config = json.loads(raw_config)
 go2rtc_config: dict[str, any] = config["go2rtc"]
 if not go2rtc_config.get("log", {}).get("format"):
    go2rtc_config["log"] = {"format": "text"}
 if not go2rtc_config.get("webrtc", {}).get("candidates", []):
    go2rtc_config["webrtc"] = {"candidates": ["stun:8555"]}
 print(json.dumps(go2rtc_config))
--- a/docker/rootfs/usr/local/nginx/conf/nginx.conf
+++ b/docker/rootfs/usr/local/nginx/conf/nginx.conf
@@ -1,26 +1,30 @@
 daemon off;
-worker_processes  1;
+user root;
 worker_processes auto;
-error_log  /usr/local/nginx/logs/error.log warn;
+error_log /dev/stdout warn;
-pid        /var/run/nginx.pid;
+pid /var/run/nginx.pid;
 events {
-    worker_connections  1024;
+    worker_connections 1024;
 }
 http {
-    include       mime.types;
+    include mime.types;
-    default_type  application/octet-stream;
+    default_type application/octet-stream;
-    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
+    log_format main '$remote_addr - $remote_user [$time_local] "$request" '
                        '$status $body_bytes_sent "$http_referer" '
                        '"$http_user_agent" "$http_x_forwarded_for"';
-    access_log  /usr/local/nginx/logs/access.log  main;
+    access_log /dev/stdout main;
-    sendfile        on;
+    # send headers in one piece, it is better than sending them one by one
    tcp_nopush on;
-    keepalive_timeout  65;
+    sendfile on;
    keepalive_timeout 65;
    gzip on;
    gzip_comp_level 6;
@@ -29,18 +33,23 @@ http {
    gzip_vary on;
    upstream frigate_api {
-      server localhost:5001;
+        server 127.0.0.1:5001;
-      keepalive 1024;
+        keepalive 1024;
    }
    upstream mqtt_ws {
-      server localhost:5002;
+        server 127.0.0.1:5002;
-      keepalive 1024;
+        keepalive 1024;
    }
    upstream jsmpeg {
-      server localhost:8082;
+        server 127.0.0.1:8082;
-      keepalive 1024;
+        keepalive 1024;
    }
    upstream go2rtc {
        server 127.0.0.1:1984;
        keepalive 1024;
    }
    server {
@@ -52,37 +61,49 @@ http {
        vod_mode mapped;
        vod_max_mapping_response_size 1m;
        vod_upstream_location /api;
        vod_align_segments_to_key_frames on;
        vod_manifest_segment_durations_mode accurate;
        vod_ignore_edit_list on;
        vod_segment_duration 10000;
        vod_hls_mpegts_align_frames off;
        vod_hls_mpegts_interleave_frames on;
        # file handle caching / aio
        open_file_cache max=1000 inactive=5m;
        open_file_cache_valid 2m;
        open_file_cache_min_uses 1;
        open_file_cache_errors on;
        aio on;
        # https://github.com/kaltura/nginx-vod-module#vod_open_file_thread_pool
        vod_open_file_thread_pool default;
        # vod caches
        vod_metadata_cache metadata_cache 512m;
-        vod_mapping_cache mapping_cache 5m;
+        vod_mapping_cache mapping_cache 5m 10m;
        # gzip manifests
        gzip on;
        gzip_types application/vnd.apple.mpegurl;
        # file handle caching / aio
        open_file_cache          max=1000 inactive=5m;
        open_file_cache_valid    2m;
        open_file_cache_min_uses 1;
        open_file_cache_errors   on;
        aio on;
        location /vod/ {
            aio threads;
            vod hls;
            secure_token $args;
-			secure_token_types application/vnd.apple.mpegurl;
+            secure_token_types application/vnd.apple.mpegurl;
            add_header Access-Control-Allow-Headers '*';
            add_header Access-Control-Expose-Headers 'Server,range,Content-Length,Content-Range';
            add_header Access-Control-Allow-Methods 'GET, HEAD, OPTIONS';
            add_header Access-Control-Allow-Origin '*';
-            expires -1;
+            add_header Cache-Control "no-store";
            expires off;
        }
        location /stream/ {
-            add_header 'Cache-Control' 'no-cache';
+            add_header Cache-Control "no-store";
            expires off;
            add_header 'Access-Control-Allow-Origin' "$http_origin" always;
            add_header 'Access-Control-Allow-Credentials' 'true';
            add_header 'Access-Control-Expose-Headers' 'Content-Length';
@@ -126,8 +147,8 @@ http {
        }
        location /cache/ {
-                internal; # This tells nginx it's not accessible from the outside
+            internal; # This tells nginx it's not accessible from the outside
-                alias /tmp/cache/;
+            alias /tmp/cache/;
        }
        location /recordings/ {
@@ -159,7 +180,7 @@ http {
            proxy_set_header Host $host;
        }
-        location /live/ {
+        location /live/jsmpeg/ {
            proxy_pass http://jsmpeg/;
            proxy_http_version 1.1;
            proxy_set_header Upgrade $http_upgrade;
@@ -167,10 +188,39 @@ http {
            proxy_set_header Host $host;
        }
-        location /api/ {
+        location /live/mse/ {
            proxy_pass http://go2rtc/;
            proxy_http_version 1.1;
            proxy_set_header Upgrade $http_upgrade;
            proxy_set_header Connection "Upgrade";
            proxy_set_header Host $host;
        }
        location /live/webrtc/ {
            proxy_pass http://go2rtc/;
            proxy_http_version 1.1;
            proxy_set_header Upgrade $http_upgrade;
            proxy_set_header Connection "Upgrade";
            proxy_set_header Host $host;
        }
        location ~* /api/.*\.(jpg|jpeg|png)$ {
            add_header 'Access-Control-Allow-Origin' '*';
            add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS';
            rewrite ^/api/(.*)$ $1 break;
            proxy_pass http://frigate_api;
            proxy_pass_request_headers on;
            proxy_set_header Host $host;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
            proxy_set_header X-Forwarded-Proto $scheme;
        }
        location /api/ {
            add_header Cache-Control "no-store";
            expires off;
            add_header 'Access-Control-Allow-Origin' '*';
            add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS';
            proxy_pass http://frigate_api/;
            proxy_pass_request_headers on;
            proxy_set_header Host $host;
@@ -178,21 +228,24 @@ http {
            proxy_set_header X-Forwarded-Proto $scheme;
        }
        location / {
-            add_header Cache-Control "no-cache";
+            add_header Cache-Control "no-store";
            expires off;
-            location ~* \.(?:js|css|svg|ico|png)$ {
+            location /assets/ {
                access_log off;
                expires 1y;
                add_header Cache-Control "public";
            }
-            sub_filter 'href="/' 'href="$http_x_ingress_path/';
+            sub_filter 'href="/BASE_PATH/' 'href="$http_x_ingress_path/';
-            sub_filter 'url(/' 'url($http_x_ingress_path/';
+            sub_filter 'url(/BASE_PATH/' 'url($http_x_ingress_path/';
-            sub_filter '"/dist/' '"$http_x_ingress_path/dist/';
+            sub_filter '"/BASE_PATH/dist/' '"$http_x_ingress_path/dist/';
-            sub_filter '"/js/' '"$http_x_ingress_path/js/';
+            sub_filter '"/BASE_PATH/js/' '"$http_x_ingress_path/js/';
-            sub_filter '<body>' '<body><script>window.baseUrl="$http_x_ingress_path";</script>';
+            sub_filter '"/BASE_PATH/assets/' '"$http_x_ingress_path/assets/';
            sub_filter '"/BASE_PATH/monacoeditorwork/' '"$http_x_ingress_path/assets/';
            sub_filter 'return"/BASE_PATH/"' 'return window.baseUrl';
            sub_filter '<body>' '<body><script>window.baseUrl="$http_x_ingress_path/";</script>';
            sub_filter_types text/css application/javascript;
            sub_filter_once off;
@@ -215,4 +268,4 @@ rtmp {
            meta copy;
        }
    }
-}
+}
--- a/docker/tensorrt_models.sh
+++ b/docker/tensorrt_models.sh
@@ -0,0 +1,34 @@
 #!/bin/bash
 set -euxo pipefail
 CUDA_HOME=/usr/local/cuda
 LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
 OUTPUT_FOLDER=/tensorrt_models
 echo "Generating the following TRT Models: ${YOLO_MODELS:="yolov4-tiny-288,yolov4-tiny-416,yolov7-tiny-416"}"
 # Create output folder
 mkdir -p ${OUTPUT_FOLDER}
 # Install packages
 pip install --upgrade pip && pip install onnx==1.9.0 protobuf==3.20.3
 # Clone tensorrt_demos repo
 git clone --depth 1 https://github.com/yeahme49/tensorrt_demos.git /tensorrt_demos
 # Build libyolo
 cd /tensorrt_demos/plugins && make all
 cp libyolo_layer.so ${OUTPUT_FOLDER}/libyolo_layer.so
 # Download yolo weights
 cd /tensorrt_demos/yolo && ./download_yolo.sh
 # Build trt engine
 cd /tensorrt_demos/yolo
 for model in ${YOLO_MODELS//,/ }
 do
    python3 yolo_to_onnx.py -m ${model}
    python3 onnx_to_tensorrt.py -m ${model}
    cp /tensorrt_demos/yolo/${model}.trt ${OUTPUT_FOLDER}/${model}.trt;
 done
--- a/docs/docs/configuration/advanced.md
+++ b/docs/docs/configuration/advanced.md
@@ -1,50 +1,9 @@
 ---
 id: advanced
-title: Advanced
+title: Advanced Options
-sidebar_label: Advanced
+sidebar_label: Advanced Options
 ---
 ## Advanced configuration
 ### `motion`
 Global motion detection config. These may also be defined at the camera level.
 ```yaml
 motion:
  # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
  # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
  # The value should be between 1 and 255.
  threshold: 25
  # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: ~0.17% of the motion frame area)
  # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will make motion detection more sensitive to smaller
  # moving objects.
  contour_area: 100
  # Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
  # Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
  # Too low and a fast moving person wont be detected as motion.
  delta_alpha: 0.2
  # Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
  # Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
  # Low values will cause things like moving shadows to be detected as motion for longer.
  # https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
  frame_alpha: 0.2
  # Optional: Height of the resized motion frame  (default: 1/6th of the original frame height, but no less than 180)
  # This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense of higher CPU usage.
  # Lower values result in less CPU, but small changes may not register as motion.
  frame_height: 180
 ```
 ### `detect`
 Global object detection settings. These may also be defined at the camera level.
 ```yaml
 detect:
  # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
  max_disappeared: 25
 ```
 ### `logger`
 Change the default log level for troubleshooting purposes.
@@ -64,7 +23,7 @@ Examples of available modules are:
 - `frigate.app`
 - `frigate.mqtt`
- `frigate.edgetpu`
+- `frigate.object_detection`
 - `frigate.zeroconf`
 - `detector.<detector_name>`
 - `watchdog.<camera_name>`
@@ -72,11 +31,13 @@ Examples of available modules are:
 ### `environment_vars`
-This section can be used to set environment variables for those unable to modify the environment of the container (ie. within Hass.io)
+This section can be used to set environment variables for those unable to modify the environment of the container (ie. within HassOS)
 Example:
 ```yaml
 environment_vars:
-  EXAMPLE_VAR: value
+  VARIABLE_NAME: variable_value
 ```
 ### `database`
@@ -89,38 +50,61 @@ This may need to be in a custom location if network storage is used for the medi
 ```yaml
 database:
-  path: /media/frigate/frigate.db
+  path: /path/to/frigate.db
 ```
 ### `detectors`
 ```yaml
 detectors:
  # Required: name of the detector
  coral:
    # Required: type of the detector
    # Valid values are 'edgetpu' (requires device property below) and 'cpu'.
    type: edgetpu
    # Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
    device: usb
    # Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
    # This value is only used for CPU types
    num_threads: 3
 ```
 ### `model`
 If using a custom model, the width and height will need to be specified.
 Custom models may also require different input tensor formats. The colorspace conversion supports RGB, BGR, or YUV frames to be sent to the object detector. The input tensor shape parameter is an enumeration to match what specified by the model.
 | Tensor Dimension | Description    |
 | :--------------: | -------------- |
 |        N         | Batch Size     |
 |        H         | Model Height   |
 |        W         | Model Width    |
 |        C         | Color Channels |
 | Available Input Tensor Shapes |
 | :---------------------------: |
 |            "nhwc"             |
 |            "nchw"             |
 ```yaml
 # Optional: model config
 model:
  path: /path/to/model
  width: 320
  height: 320
  input_tensor: "nhwc"
  input_pixel_format: "bgr"
 ```
 The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. By default, truck is renamed to car because they are often confused. You cannot add new object types, but you can change the names of existing objects in the model.
 ```yaml
 model:
  # Required: height of the trained model
  height: 320
  # Required: width of the trained model
  width: 320
  # Optional: labelmap overrides
  labelmap:
-    7: car
+    2: vehicle
    3: vehicle
    5: vehicle
    7: vehicle
    15: animal
    16: animal
    17: animal
 ```
 Note that if you rename objects in the labelmap, you will also need to update your `objects -> track` list as well.
 ## Custom ffmpeg build
 Included with Frigate is a build of ffmpeg that works for the vast majority of users. However, there exists some hardware setups which have incompatibilities with the included build. In this case, a docker volume mapping can be used to overwrite the included ffmpeg build with an ffmpeg build that works for your specific hardware setup.
 To do this:
 1. Download your ffmpeg build and uncompress to a folder on the host (let's use `/home/appdata/frigate/custom-ffmpeg` for this example).
 2. Update your docker-compose or docker CLI to include `'/home/appdata/frigate/custom-ffmpeg':'/usr/lib/btbn-ffmpeg':'ro'` in the volume mappings.
 3. Restart Frigate and the custom version will be used if the mapping was done correctly.
 NOTE: The folder that is mapped from the host needs to be the folder that contains `/bin`. So if the full structure is `/home/appdata/frigate/custom-ffmpeg/bin/ffmpeg` then `/home/appdata/frigate/custom-ffmpeg` needs to be mapped to `/usr/lib/btbn-ffmpeg`.
--- a/docs/docs/configuration/birdseye.md
+++ b/docs/docs/configuration/birdseye.md
@@ -0,0 +1,35 @@
 # Birdseye
 Birdseye allows a heads-up view of your cameras to see what is going on around your property / space without having to watch all cameras that may have nothing happening. Birdseye allows specific modes that intelligently show and disappear based on what you care about. 
 ### Birdseye Modes
 Birdseye offers different modes to customize which cameras show under which circumstances.
 - **continuous:** All cameras are always included
 - **motion:** Cameras that have detected motion within the last 30 seconds are included
 - **objects:** Cameras that have tracked an active object within the last 30 seconds are included
 ### Custom Birdseye Icon
 A custom icon can be added to the birdseye background by providing a 180x180 image named `custom.png` inside of the Frigate `media` folder. The file must be a png with the icon as transparent, any non-transparent pixels will be white when displayed in the birdseye view.
 ### Birdseye view override at camera level
 If you want to include a camera in Birdseye view only for specific circumstances, or just don't include it at all, the Birdseye setting can be set at the camera level.
 ```yaml
 # Include all cameras by default in Birdseye view
 birdseye:
  enabled: True
  mode: continuous
 cameras:
  front:
    # Only include the "front" camera in Birdseye view when objects are detected
    birdseye:
      mode: objects
  back:
    # Exclude the "back" camera from Birdseye view
    birdseye:
      enabled: False
 ```
--- a/docs/docs/configuration/camera_specific.md
+++ b/docs/docs/configuration/camera_specific.md
@@ -0,0 +1,136 @@
 ---
 id: camera_specific
 title: Camera Specific Configurations
 ---
 :::note
 This page makes use of presets of FFmpeg args. For more information on presets, see the [FFmpeg Presets](/configuration/ffmpeg_presets) page.
 :::
 ## MJPEG Cameras
 Note that mjpeg cameras require encoding the video into h264 for recording, and restream roles. This will use significantly more CPU than if the cameras supported h264 feeds directly. It is recommended to use the restream role to create an h264 restream and then use that as the source for ffmpeg.
 ```yaml
 go2rtc:
  streams:
    mjpeg_cam: ffmpeg:{your_mjpeg_stream_url}#video=h264#hardware # <- use hardware acceleration to create an h264 stream usable for other components.
 cameras:
  ...
  mjpeg_cam:
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/mjpeg_cam
          roles:
            - detect
            - record
 ```
 ## JPEG Stream Cameras
 Cameras using a live changing jpeg image will need input parameters as below
 ```yaml
 input_args: preset-http-jpeg-generic
 ```
 Outputting the stream will have the same args and caveats as per [MJPEG Cameras](#mjpeg-cameras)
 ## RTMP Cameras
 The input parameters need to be adjusted for RTMP cameras
 ```yaml
 ffmpeg:
  input_args: preset-rtmp-generic
 ```
 ## UDP Only Cameras
 If your cameras do not support TCP connections for RTSP, you can use UDP.
 ```yaml
 ffmpeg:
  input_args: preset-rtsp-udp
 ```
 ## Model/vendor specific setup
 ### Annke C800
 This camera is H.265 only. To be able to play clips on some devices (like MacOs or iPhone) the H.265 stream has to be repackaged and the audio stream has to be converted to aac. Unfortunately direct playback of in the browser is not working (yet), but the downloaded clip can be played locally.
 ```yaml
 cameras:
  annkec800: # <------ Name the camera
    ffmpeg:
      output_args:
        record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -tag:v hvc1 -bsf:v hevc_mp4toannexb -c:a aac
        rtmp: -c:v copy -c:a aac -f flv
      inputs:
        - path: rtsp://user:password@camera-ip:554/H264/ch1/main/av_stream # <----- Update for your camera
          roles:
            - detect
            - record
            - rtmp
    rtmp:
      enabled: False # <-- RTMP should be disabled if your stream is not H264
    detect:
      width: # <---- update for your camera's resolution
      height: # <---- update for your camera's resolution
 ```
 ### Blue Iris RTSP Cameras
 You will need to remove `nobuffer` flag for Blue Iris RTSP cameras
 ```yaml
 ffmpeg:
  input_args: preset-rtsp-blue-iris
 ```
 ### Reolink Cameras
 Reolink has older cameras (ex: 410 & 520) as well as newer camera (ex: 520a & 511wa) which support different subsets of options. In both cases using the http stream is recommended.
 Frigate works much better with newer reolink cameras that are setup with the below options:
 If available, recommended settings are:
 - `On, fluency first` this sets the camera to CBR (constant bit rate)
 - `Interframe Space 1x` this sets the iframe interval to the same as the frame rate
 According to [this discussion](https://github.com/blakeblackshear/frigate/issues/3235#issuecomment-1135876973), the http video streams seem to be the most reliable for Reolink.
 ```yaml
 cameras:
  reolink:
    ffmpeg:
      input_args: preset-http-reolink
      inputs:
        - path: http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password
          roles:
            - record
            - rtmp
        - path: http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password
          roles:
            - detect
    detect:
      width: 896
      height: 672
      fps: 7
 ```
 ### Unifi Protect Cameras
 In the Unifi 2.0 update Unifi Protect Cameras had a change in audio sample rate which causes issues for ffmpeg. The input rate needs to be set for record and rtmp.
 ```yaml
 ffmpeg:
  output_args:
    record: preset-record-ubiquiti
    rtmp: preset-rtmp-ubiquiti
 ```
--- a/docs/docs/configuration/cameras.md
+++ b/docs/docs/configuration/cameras.md
@@ -5,553 +5,46 @@ title: Cameras
 ## Setting Up Camera Inputs
-Up to 4 inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create recordings from a higher resolution stream, or vice versa.
+Several inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create recordings from a higher resolution stream, or vice versa.
 A camera is enabled by default but can be temporarily disabled by using `enabled: False`. Existing events and recordings can still be accessed. Live streams, recording and detecting are not working. Camera specific configurations will be used.
 Each role can only be assigned to one input per camera. The options for roles are as follows:
-| Role     | Description                                                                           |
+| Role       | Description                                                                              |
-| -------- | ------------------------------------------------------------------------------------- |
+| ---------- | ---------------------------------------------------------------------------------------- |
-| `detect` | Main feed for object detection                                                        |
+| `detect`   | Main feed for object detection                                                           |
-| `record` | Saves segments of the video feed based on configuration settings. [docs](#recordings) |
+| `record`   | Saves segments of the video feed based on configuration settings. [docs](record.md)      |
-| `rtmp`   | Broadcast as an RTMP feed for other services to consume. [docs](#rtmp-streams)        |
+| `rtmp`     | Deprecated: Broadcast as an RTMP feed for other services to consume. [docs](restream.md) |
 ### Example
 ```yaml
 mqtt:
  host: mqtt.server.com
 cameras:
  back:
    enabled: True
    ffmpeg:
      inputs:
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
          roles:
            - detect
-            - rtmp
+            - rtmp # <- deprecated, recommend using restream instead
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/live
          roles:
            - record
    detect:
      width: 1280
      height: 720
      fps: 5
 ```
-`width`, `height`, and `fps` are only used for the `detect` role. Other streams are passed through, so there is no need to specify the resolution.
+Additional cameras are simply added to the config under the `cameras` entry.
 ## Masks & Zones
 ### Masks
 Masks are used to ignore initial detection in areas of your camera's field of view.
 There are two types of masks available:
 - **Motion masks**: Motion masks are used to prevent unwanted types of motion from triggering detection. Try watching the video feed with `Motion Boxes` enabled to see what may be regularly detected as motion. For example, you want to mask out your timestamp, the sky, rooftops, etc. Keep in mind that this mask only prevents motion from being detected and does not prevent objects from being detected if object detection was started due to motion in unmasked areas. Motion is also used during object tracking to refine the object detection area in the next frame. Over masking will make it more difficult for objects to be tracked. To see this effect, create a mask, and then watch the video feed with `Motion Boxes` enabled again.
 - **Object filter masks**: Object filter masks are used to filter out false positives for a given object type. These should be used to filter any areas where it is not possible for an object of that type to be. The bottom center of the detected object's bounding box is evaluated against the mask. If it is in a masked area, it is assumed to be a false positive. For example, you may want to mask out rooftops, walls, the sky, treetops for people. For cars, masking locations other than the street or your driveway will tell frigate that anything in your yard is a false positive.
 To create a poly mask:
 1. Visit the [web UI](/usage/web)
 1. Click the camera you wish to create a mask for
 1. Click "Mask & Zone creator"
 1. Click "Add" on the type of mask or zone you would like to create
 1. Click on the camera's latest image to create a masked area. The yaml representation will be updated in real-time
 1. When you've finished creating your mask, click "Copy" and paste the contents into your `config.yaml` file and restart Frigate
 Example of a finished row corresponding to the below example image:
 ```yaml
 motion:
  mask: "0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432"
 ```
 ![poly](/img/example-mask-poly.png)
 ```yaml
 # Optional: camera level motion config
 motion:
  # Optional: motion mask
  # NOTE: see docs for more detailed info on creating masks
  mask: 0,900,1080,900,1080,1920,0,1920
 ```
 ### Zones
 Zones allow you to define a specific area of the frame and apply additional filters for object types so you can determine whether or not an object is within a particular area. Zones cannot have the same name as a camera. If desired, a single zone can include multiple cameras if you have multiple cameras covering the same area by configuring zones with the same name for each camera.
 During testing, `draw_zones` should be set in the config to draw the zone on the frames so you can adjust as needed. The zone line will increase in thickness when any object enters the zone.
 To create a zone, follow the same steps above for a "Motion mask", but use the section of the web UI for creating a zone instead.
 ```yaml
 # Optional: zones for this camera
 zones:
  # Required: name of the zone
  # NOTE: This must be different than any camera names, but can match with another zone on another
  #       camera.
  front_steps:
    # Required: List of x,y coordinates to define the polygon of the zone.
    # NOTE: Coordinates can be generated at https://www.image-map.net/
    coordinates: 545,1077,747,939,788,805
    # Optional: List of objects that can trigger this zone (default: all tracked objects)
    objects:
      - person
    # Optional: Zone level object filters.
    # NOTE: The global and camera filters are applied upstream.
    filters:
      person:
        min_area: 5000
        max_area: 100000
        threshold: 0.7
 ```
 ## Objects
 For a list of available objects, see the [objects documentation](./objects.mdx).
 ```yaml
 # Optional: Camera level object filters config.
 objects:
  track:
    - person
    - car
  # Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
  # Checks based on the bottom center of the bounding box of the object.
  # NOTE: This mask is COMBINED with the object type specific mask below
  mask: 0,0,1000,0,1000,200,0,200
  filters:
    person:
      min_area: 5000
      max_area: 100000
      min_score: 0.5
      threshold: 0.7
      # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object
      mask: 0,0,1000,0,1000,200,0,200
 ```
 ## Recordings
 24/7 recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM/DD/HH/<camera_name>/MM.SS.mp4`. These recordings are written directly from your camera stream without re-encoding and are available in Home Assistant's media browser. Each camera supports a configurable retention policy in the config.
 Exported clips are also created off of these recordings. Frigate chooses the largest matching retention value between the recording retention and the event retention when determining if a recording should be removed.
 These recordings will not be playable in the web UI or in Home Assistant's media browser unless your camera sends video as h264.
 :::caution
 Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
 :::
 ```yaml
 record:
  # Optional: Enable recording (default: shown below)
  enabled: False
  # Optional: Number of days to retain (default: shown below)
  retain_days: 0
  # Optional: Event recording settings
  events:
    # Optional: Enable event recording retention settings (default: shown below)
    enabled: False
    # Optional: Maximum length of time to retain video during long events. (default: shown below)
    # NOTE: If an object is being tracked for longer than this amount of time, the cache
    #       will begin to expire and the resulting clip will be the last x seconds of the event unless retain_days under record is > 0.
    max_seconds: 300
    # Optional: Number of seconds before the event to include in the event (default: shown below)
    pre_capture: 5
    # Optional: Number of seconds after the event to include in the event (default: shown below)
    post_capture: 5
    # Optional: Objects to save event for. (default: all tracked objects)
    objects:
      - person
    # Optional: Restrict event to objects that entered any of the listed zones (default: no required zones)
    required_zones: []
    # Optional: Retention settings for event
    retain:
      # Required: Default retention days (default: shown below)
      default: 10
      # Optional: Per object retention days
      objects:
        person: 15
 ```
 ## Snapshots
 Frigate can save a snapshot image to `/media/frigate/clips` for each event named as `<camera>-<id>.jpg`.
 ```yaml
 # Optional: Configuration for the jpg snapshots written to the clips directory for each event
 snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: False
  # Optional: Enable writing a clean copy png snapshot to /media/frigate/clips (default: shown below)
  # Only works if snapshots are enabled. This image is intended to be used for training purposes.
  clean_copy: True
  # Optional: print a timestamp on the snapshots (default: shown below)
  timestamp: False
  # Optional: draw bounding box on the snapshots (default: shown below)
  bounding_box: False
  # Optional: crop the snapshot (default: shown below)
  crop: False
  # Optional: height to resize the snapshot to (default: original size)
  height: 175
  # Optional: jpeg encode quality (default: shown below)
  quality: 70
  # Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
  required_zones: []
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 10
    # Optional: Per object retention days
    objects:
      person: 15
 ```
 ## RTMP streams
 Frigate can re-stream your video feed as a RTMP feed for other applications such as Home Assistant to utilize it at `rtmp://<frigate_host>/live/<camera_name>`. Port 1935 must be open. This allows you to use a video feed for detection in frigate and Home Assistant live view at the same time without having to make two separate connections to the camera. The video feed is copied from the original video feed directly to avoid re-encoding. This feed does not include any annotation by Frigate.
 Some video feeds are not compatible with RTMP. If you are experiencing issues, check to make sure your camera feed is h264 with AAC audio. If your camera doesn't support a compatible format for RTMP, you can use the ffmpeg args to re-encode it on the fly at the expense of increased CPU utilization.
 ## Timestamp style configuration
 For the debug view and snapshots it is possible to embed a timestamp in the feed. In some instances the default position obstructs important space, visibility or contrast is too low because of color or the datetime format does not match ones desire.
 ```yaml
 # Optional: in-feed timestamp style configuration
 timestamp_style:
  # Optional: Position of the timestamp (default: shown below)
  #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
  position: "tl"
  # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
  #           Additional Examples:
  #             german: "%d.%m.%Y %H:%M:%S"
  format: "%m/%d/%Y %H:%M:%S"
  # Optional: Color of font
  color:
    # All Required when color is specified (default: shown below)
    red: 255
    green: 255
    blue: 255
  # Optional: Scale factor for font (default: shown below)
  scale: 1.0
  # Optional: Line thickness of font (default: shown below)
  thickness: 2
  # Optional: Effect of lettering (default: shown below)
  #           None (No effect),
  #           "solid" (solid background in inverse color of font)
  #           "shadow" (shadow for font)
  effect: None
 ```
 ## Full example
 The following is a full example of all of the options together for a camera configuration
 ```yaml
 mqtt: ...
 cameras:
-  # Required: name of the camera
+  back: ...
-  back:
+  front: ...
-    # Required: ffmpeg settings for the camera
+  side: ...
    ffmpeg:
      # Required: A list of input streams for the camera. See documentation for more information.
      inputs:
        # Required: the path to the stream
        # NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
          # Required: list of roles for this stream. valid values are: detect,record,rtmp
          # NOTICE: In addition to assigning the record, and rtmp roles,
          # they must also be enabled in the camera config.
          roles:
            - detect
            - rtmp
          # Optional: stream specific global args (default: inherit)
          global_args:
          # Optional: stream specific hwaccel args (default: inherit)
          hwaccel_args:
          # Optional: stream specific input args (default: inherit)
          input_args:
      # Optional: camera specific global args (default: inherit)
      global_args:
      # Optional: camera specific hwaccel args (default: inherit)
      hwaccel_args:
      # Optional: camera specific input args (default: inherit)
      input_args:
      # Optional: camera specific output args (default: inherit)
      output_args:
    # Required: Camera level detect settings
    detect:
      # Required: width of the frame for the input with the detect role
      width: 1280
      # Required: height of the frame for the input with the detect role
      height: 720
      # Required: desired fps for your camera for the input with the detect role
      # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
      fps: 5
      # Optional: enables detection for the camera (default: True)
      # This value can be set via MQTT and will be updated in startup based on retained value
      enabled: True
      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
      max_disappeared: 25
    # Optional: camera level motion config
    motion:
      # Optional: motion mask
      # NOTE: see docs for more detailed info on creating masks
      mask: 0,900,1080,900,1080,1920,0,1920
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    # Optional: zones for this camera
    zones:
      # Required: name of the zone
      # NOTE: This must be different than any camera names, but can match with another zone on another
      #       camera.
      front_steps:
        # Required: List of x,y coordinates to define the polygon of the zone.
        # NOTE: Coordinates can be generated at https://www.image-map.net/
        coordinates: 545,1077,747,939,788,805
        # Optional: List of objects that can trigger this zone (default: all tracked objects)
        objects:
          - person
        # Optional: Zone level object filters.
        # NOTE: The global and camera filters are applied upstream.
        filters:
          person:
            min_area: 5000
            max_area: 100000
            threshold: 0.7
    # Optional: 24/7 recording configuration
    record:
      # Optional: Enable recording (default: global setting)
      enabled: False
      # Optional: Number of days to retain (default: global setting)
      retain_days: 30
      # Optional: Event recording settings
      events:
        # Required: enables event recordings for the camera (default: shown below)
        # This value can be set via MQTT and will be updated in startup based on retained value
        enabled: False
        # Optional: Number of seconds before the event to include (default: shown below)
        pre_capture: 5
        # Optional: Number of seconds after the event to include (default: shown below)
        post_capture: 5
        # Optional: Objects to save events for. (default: all tracked objects)
        objects:
          - person
        # Optional: Restrict events to objects that entered any of the listed zones (default: no required zones)
        required_zones: []
        # Optional: Camera override for retention settings (default: global values)
        retain:
          # Required: Default retention days (default: shown below)
          default: 10
          # Optional: Per object retention days
          objects:
            person: 15
    # Optional: RTMP re-stream configuration
    rtmp:
      # Required: Enable the RTMP stream (default: True)
      enabled: True
    # Optional: Live stream configuration for WebUI
    live:
      # Optional: Set the height of the live stream. (default: 720)
      # This must be less than or equal to the height of the detect stream. Lower resolutions
      # reduce bandwidth required for viewing the live stream. Width is computed to match known aspect ratio.
      height: 720
      # Optional: Set the encode quality of the live stream (default: shown below)
      # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
      quality: 8
    # Optional: Configuration for the jpg snapshots written to the clips directory for each event
    snapshots:
      # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
      # This value can be set via MQTT and will be updated in startup based on retained value
      enabled: False
      # Optional: print a timestamp on the snapshots (default: shown below)
      timestamp: False
      # Optional: draw bounding box on the snapshots (default: shown below)
      bounding_box: False
      # Optional: crop the snapshot (default: shown below)
      crop: False
      # Optional: height to resize the snapshot to (default: original size)
      height: 175
      # Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
      required_zones: []
      # Optional: Camera override for retention settings (default: global values)
      retain:
        # Required: Default retention days (default: shown below)
        default: 10
        # Optional: Per object retention days
        objects:
          person: 15
    # Optional: Configuration for the jpg snapshots published via MQTT
    mqtt:
      # Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
      # NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
      # All other messages will still be published.
      enabled: True
      # Optional: print a timestamp on the snapshots (default: shown below)
      timestamp: True
      # Optional: draw bounding box on the snapshots (default: shown below)
      bounding_box: True
      # Optional: crop the snapshot (default: shown below)
      crop: True
      # Optional: height to resize the snapshot to (default: shown below)
      height: 270
      # Optional: jpeg encode quality (default: shown below)
      quality: 70
      # Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
      required_zones: []
    # Optional: Camera level object filters config.
    objects:
      track:
        - person
        - car
      # Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object.
      # NOTE: This mask is COMBINED with the object type specific mask below
      mask: 0,0,1000,0,1000,200,0,200
      filters:
        person:
          min_area: 5000
          max_area: 100000
          min_score: 0.5
          threshold: 0.7
          # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
          # Checks based on the bottom center of the bounding box of the object
          mask: 0,0,1000,0,1000,200,0,200
    # Optional: In-feed timestamp style configuration
    timestamp_style:
    # Optional: Position of the timestamp (default: shown below)
    #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
    position: "tl"
    # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
    #           Additional Examples:
    #             german: "%d.%m.%Y %H:%M:%S"
    format: "%m/%d/%Y %H:%M:%S"
    # Optional: Color of font
    color:
      # All Required when color is specified (default: shown below)
      red: 255
      green: 255
      blue: 255
    # Optional: Scale factor for font (default: shown below)
    scale: 1.0
    # Optional: Line thickness of font (default: shown below)
    thickness: 2
    # Optional: Effect of lettering (default: shown below)
    #           None (No effect),
    #           "solid" (solid background in inverse color of font)
    #           "shadow" (shadow for font)
    effect: None
 ```
-## Camera specific configuration
+For camera model specific settings check the [camera specific](camera_specific.md) infos.
 ### MJPEG Cameras
 The input and output parameters need to be adjusted for MJPEG cameras
 ```yaml
 input_args:
  - -avoid_negative_ts
  - make_zero
  - -fflags
  - nobuffer
  - -flags
  - low_delay
  - -strict
  - experimental
  - -fflags
  - +genpts+discardcorrupt
  - -r
  - "3" # <---- adjust depending on your desired frame rate from the mjpeg image
  - -use_wallclock_as_timestamps
  - "1"
 ```
 Note that mjpeg cameras require encoding the video into h264 for recording, and rtmp roles. This will use significantly more CPU than if the cameras supported h264 feeds directly.
 ```yaml
 output_args:
  record: -f segment -segment_time 60 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v libx264 -an
  rtmp: -c:v libx264 -an -f flv
 ```
 ### RTMP Cameras
 The input parameters need to be adjusted for RTMP cameras
 ```yaml
 ffmpeg:
  input_args:
    - -avoid_negative_ts
    - make_zero
    - -fflags
    - nobuffer
    - -flags
    - low_delay
    - -strict
    - experimental
    - -fflags
    - +genpts+discardcorrupt
    - -use_wallclock_as_timestamps
    - "1"
 ```
 ### Reolink 410/520 (possibly others)
 Several users have reported success with the rtmp video from Reolink cameras.
 ```yaml
 ffmpeg:
  input_args:
    - -avoid_negative_ts
    - make_zero
    - -fflags
    - nobuffer
    - -flags
    - low_delay
    - -strict
    - experimental
    - -fflags
    - +genpts+discardcorrupt
    - -rw_timeout
    - "5000000"
    - -use_wallclock_as_timestamps
    - "1"
 ```
 ### Blue Iris RTSP Cameras
 You will need to remove `nobuffer` flag for Blue Iris RTSP cameras
 ```yaml
 ffmpeg:
  input_args:
    - -avoid_negative_ts
    - make_zero
    - -flags
    - low_delay
    - -strict
    - experimental
    - -fflags
    - +genpts+discardcorrupt
    - -rtsp_transport
    - tcp
    - -stimeout
    - "5000000"
    - -use_wallclock_as_timestamps
    - "1"
 ```
--- a/docs/docs/configuration/detectors.md
+++ b/docs/docs/configuration/detectors.md
@@ -3,22 +3,50 @@ id: detectors
 title: Detectors
 ---
-The default config will look for a USB Coral device. If you do not have a Coral, you will need to configure a CPU detector. If you have PCI or multiple Coral devices, you need to configure your detector devices in the config file. When using multiple detectors, they run in dedicated processes, but pull from a common queue of requested detections across all cameras.
+Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
-Frigate supports `edgetpu` and `cpu` as detector types. The device value should be specified according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api).
+## CPU Detector (not recommended)
-**Note**: There is no support for Nvidia GPUs to perform object detection with tensorflow. It can be used for ffmpeg decoding, but not object detection.
+The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To configure a CPU based detector, set the `"type"` attribute to `"cpu"`.
-Single USB Coral:
+The number of threads used by the interpreter can be specified using the `"num_threads"` attribute, and defaults to `3.`
 A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
 ```yaml
 detectors:
  cpu1:
    type: cpu
    num_threads: 3
    model:
      path: "/custom_model.tflite"
  cpu2:
    type: cpu
    num_threads: 3
 ```
 When using CPU detectors, you can add one CPU detector per camera. Adding more detectors than the number of cameras should not improve performance.
 ## Edge-TPU Detector
 The EdgeTPU detector type runs a TensorFlow Lite model utilizing the Google Coral delegate for hardware acceleration. To configure an EdgeTPU detector, set the `"type"` attribute to `"edgetpu"`.
 The EdgeTPU device can be specified using the `"device"` attribute according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api). If not set, the delegate will use the first device it finds.
 A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
 ### Single USB Coral
 ```yaml
 detectors:
  coral:
    type: edgetpu
    device: usb
    model:
      path: "/custom_model.tflite"
 ```
-Multiple USB Corals:
+### Multiple USB Corals
 ```yaml
 detectors:
@@ -30,16 +58,18 @@ detectors:
    device: usb:1
 ```
-Native Coral (Dev Board):
+### Native Coral (Dev Board)
 _warning: may have [compatibility issues](https://github.com/blakeblackshear/frigate/issues/1706) after `v0.9.x`_
 ```yaml
 detectors:
  coral:
    type: edgetpu
-    device: ''
+    device: ""
 ```
-Multiple PCIE/M.2 Corals:
+### Multiple PCIE/M.2 Corals
 ```yaml
 detectors:
@@ -51,7 +81,7 @@ detectors:
    device: pci:1
 ```
-Mixing Corals:
+### Mixing Corals
 ```yaml
 detectors:
@@ -63,12 +93,143 @@ detectors:
    device: pci
 ```
-CPU Detectors (not recommended):
+## OpenVINO Detector
 The OpenVINO detector type runs an OpenVINO IR model on Intel CPU, GPU and VPU hardware. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
 The OpenVINO device to be used is specified using the `"device"` attribute according to the naming conventions in the [Device Documentation](https://docs.openvino.ai/latest/openvino_docs_OV_UG_Working_with_devices.html). Other supported devices could be `AUTO`, `CPU`, `GPU`, `MYRIAD`, etc. If not specified, the default OpenVINO device will be selected by the `AUTO` plugin.
 OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. A supported Intel platform is required to use the `GPU` device with OpenVINO. The `MYRIAD` device may be run on any platform, including Arm devices. For detailed system requirements, see [OpenVINO System Requirements](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html)
 An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector.
 ```yaml
 detectors:
-  cpu1:
+  ov:
-    type: cpu
+    type: openvino
-  cpu2:
+    device: AUTO
-    type: cpu
+    model:
      path: /openvino-model/ssdlite_mobilenet_v2.xml
 model:
  width: 300
  height: 300
  input_tensor: nhwc
  input_pixel_format: bgr
  labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 ```
 ### Intel NCS2 VPU and Myriad X Setup
 Intel produces a neural net inference accelleration chip called Myriad X. This chip was sold in their Neural Compute Stick 2 (NCS2) which has been discontinued. If intending to use the MYRIAD device for accelleration, additional setup is required to pass through the USB device. The host needs a udev rule installed to handle the NCS2 device.
 ```bash
 sudo usermod -a -G users "$(whoami)"
 cat <<EOF > 97-myriad-usbboot.rules
 SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
 SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
 EOF
 sudo cp 97-myriad-usbboot.rules /etc/udev/rules.d/
 sudo udevadm control --reload-rules
 sudo udevadm trigger
 ```
 Additionally, the Frigate docker container needs to run with the following configuration:
 ```bash
 --device-cgroup-rule='c 189:\* rmw' -v /dev/bus/usb:/dev/bus/usb
 ```
 or in your compose file:
 ```yml
 device_cgroup_rules:
  - "c 189:* rmw"
 volumes:
  - /dev/bus/usb:/dev/bus/usb
 ```
 ## NVidia TensorRT Detector
 NVidia GPUs may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt` tag suffix. This detector is designed to work with Yolo models for object detection.
 ### Minimum Hardware Support
 The TensorRT detector uses the 11.x series of CUDA libraries which have minor version compatibility. The minimum driver version on the host system must be `>=450.80.02`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
 > **TODO:** NVidia claims support on compute 3.5 and 3.7, but marks it as deprecated. This would have some, but not all, Kepler GPUs as possibly working. This needs testing before making any claims of support.
 To use the TensorRT detector, make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
 There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
 #### Compatibility References:
 [NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
 [NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
 [NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
 ### Generate Models
 The model used for TensorRT must be preprocessed on the same hardware platform that they will run on. This means that each user must run additional setup to generate a model file for the TensorRT library. A script is provided that will build several common models.
 To generate model files, create a new folder to save the models, download the script, and launch a docker container that will run the script.
 ```bash
 mkdir trt-models
 wget https://raw.githubusercontent.com/blakeblackshear/frigate/docker/tensorrt_models.sh
 chmod +x tensorrt_models.sh
 docker run --gpus=all --rm -it -v `pwd`/trt-models:/tensorrt_models -v `pwd`/tensorrt_models.sh:/tensorrt_models.sh nvcr.io/nvidia/tensorrt:22.07-py3 /tensorrt_models.sh
 ```
 The `trt-models` folder can then be mapped into your Frigate container as `trt-models` and the models referenced from the config.
 If your GPU does not support FP16 operations, you can pass the environment variable `-e USE_FP16=False` to the `docker run` command to disable it.
 Specific models can be selected by passing an environment variable to the `docker run` command. Use the form `-e YOLO_MODELS=yolov4-416,yolov4-tiny-416` to select one or more model names. The models available are shown below.
 ```
 yolov3-288
 yolov3-416
 yolov3-608
 yolov3-spp-288
 yolov3-spp-416
 yolov3-spp-608
 yolov3-tiny-288
 yolov3-tiny-416
 yolov4-288
 yolov4-416
 yolov4-608
 yolov4-csp-256
 yolov4-csp-512
 yolov4-p5-448
 yolov4-p5-896
 yolov4-tiny-288
 yolov4-tiny-416
 yolov4x-mish-320
 yolov4x-mish-640
 yolov7-tiny-288
 yolov7-tiny-416
 ```
 ### Configuration Parameters
 The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration.md#nvidia-gpu) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
 The TensorRT detector uses `.trt` model files that are located in `/trt-models/` by default. These model file path and dimensions used will depend on which model you have generated.
 ```yaml
 detectors:
  tensorrt:
    type: tensorrt
    device: 0 #This is the default, select the first GPU
 model:
  path: /trt-models/yolov7-tiny-416.trt
  input_tensor: nchw
  input_pixel_format: rgb
  width: 416
  height: 416
 ```
--- a/docs/docs/configuration/ffmpeg_presets.md
+++ b/docs/docs/configuration/ffmpeg_presets.md
@@ -0,0 +1,77 @@
 ---
 id: ffmpeg_presets
 title: FFmpeg presets
 ---
 Some presets of FFmpeg args are provided by default to make the configuration easier. All presets can be seen in [this file](https://github.com/blakeblackshear/frigate/blob/master/frigate/ffmpeg_presets.py).
 ### Hwaccel Presets
 It is highly recommended to use hwaccel presets in the config. These presets not only replace the longer args, but they also give Frigate hints of what hardware is available and allows Frigate to make other optimizations using the GPU such as when encoding the birdseye restream or when scaling a stream that has a size different than the native stream size.
 See [the hwaccel docs](/configuration/hardware_acceleration.md) for more info on how to setup hwaccel for your GPU / iGPU.
 | Preset                | Usage                        | Other Notes                                           |
 | --------------------- | ---------------------------- | ----------------------------------------------------- |
 | preset-rpi-32-h264    | 32 bit Rpi with h264 stream  |                                                       |
 | preset-rpi-64-h264    | 64 bit Rpi with h264 stream  |                                                       |
 | preset-vaapi          | Intel & AMD VAAPI            | Check hwaccel docs to ensure correct driver is chosen |
 | preset-intel-qsv-h264 | Intel QSV with h264 stream   | If issues occur recommend using vaapi preset instead  |
 | preset-intel-qsv-h265 | Intel QSV with h265 stream   | If issues occur recommend using vaapi preset instead  |
 | preset-nvidia-h264    | Nvidia GPU with h264 stream  |                                                       |
 | preset-nvidia-h265    | Nvidia GPU with h265 stream  |                                                       |
 | preset-nvidia-mjpeg   | Nvidia GPU with mjpeg stream | Recommend restreaming mjpeg and using nvidia-h264     |
 ### Input Args Presets
 Input args presets help make the config more readable and handle use cases for different types of streams to ensure maximum compatibility.
 See [the camera specific docs](/configuration/camera_specific.md) for more info on non-standard cameras and recommendations for using them in Frigate.
 | Preset                    | Usage                     | Other Notes                                         |
 | ------------------------- | ------------------------- | --------------------------------------------------- |
 | preset-http-jpeg-generic  | HTTP Live Jpeg            | Recommend restreaming live jpeg instead             |
 | preset-http-mjpeg-generic | HTTP Mjpeg Stream         | Recommend restreaming mjpeg stream instead          |
 | preset-http-reolink       | Reolink HTTP-FLV Stream   | Only for reolink http, not when restreaming as rtsp |
 | preset-rtmp-generic       | RTMP Stream               |                                                     |
 | preset-rtsp-generic       | RTSP Stream               | This is the default when nothing is specified       |
 | preset-rtsp-restream      | RTSP Stream from restream | Use when using rtsp restream as source              |
 | preset-rtsp-udp           | RTSP Stream via UDP       | Use when camera is UDP only                         |
 | preset-rtsp-blue-iris     | Blue Iris RTSP Stream     | Use when consuming a stream from Blue Iris          |
 :::caution
 It is important to be mindful of input args when using restream because you can have a mix of protocols. `http` and `rtmp` presets cannot be used with `rtsp` streams. For example, when using a reolink cam with the rtsp restream as a source for record the preset-http-reolink will cause a crash. In this case presets will need to be set at the stream level. See the example below.
 :::
 ```yaml
 cameras:
  reolink_cam:
    ffmpeg:
      inputs:
        - path: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=admin&password={FRIGATE_CAM_PASSWORD}
          input_args: preset-http-reolink
          roles:
            - detect
        - path: rtsp://192.168.0.10:8554/garage
          input_args: preset-rtsp-generic
          roles:
            - record
        - path: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=admin&password={FRIGATE_CAM_PASSWORD}
          roles:
            - restream
 ```
 ### Output Args Presets
 Output args presets help make the config more readable and handle use cases for different types of streams to ensure consistent recordings.
 | Preset                           | Usage                             | Other Notes                                   |
 | -------------------------------- | --------------------------------- | --------------------------------------------- |
 | preset-record-generic            | Record WITHOUT audio              | This is the default when nothing is specified |
 | preset-record-generic-audio-aac  | Record WITH aac audio             | Use this to enable audio in recordings        |
 | preset-record-generic-audio-copy | Record WITH original audio        | Use this to enable audio in recordings        |
 | preset-record-mjpeg              | Record an mjpeg stream            | Recommend restreaming mjpeg stream instead    |
 | preset-record-jpeg               | Record live jpeg                  | Recommend restreaming live jpeg instead       |
 | preset-record-ubiquiti           | Record ubiquiti stream with audio | Recordings with ubiquiti non-standard audio   |
--- a/docs/docs/configuration/hardware_acceleration.md
+++ b/docs/docs/configuration/hardware_acceleration.md
@@ -1,47 +1,78 @@
 ---
-id: nvdec
+id: hardware_acceleration
-title: nVidia hardware decoder
+title: Hardware Acceleration
 ---
-Certain nvidia cards include a hardware decoder, which can greatly improve the
+It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
 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
+### Raspberry Pi 3/4
-### Requirements
+:::caution
-[nVidia closed source driver](https://www.nvidia.com/en-us/drivers/unix/) required to access NVDEC.
+There is currently a bug in ffmpeg that causes hwaccel to not work for the RPi kernel 5.15.61 and above. For more information see https://github.com/blakeblackshear/frigate/issues/3780
 [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
+Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory).
-`NVIDIA_VISIBLE_DEVICES=all` and `NVIDIA_DRIVER_CAPABILITIES=compute,utility,video` must be set.
+**NOTICE**: If you are using the addon, you may need to turn off `Protection mode` for hardware acceleration.
 In a docker compose file, these lines need to be set:
 ```yaml
 ffmpeg:
  hwaccel_args: preset-rpi-64-h264
 ```
 ### Intel-based CPUs (<10th Generation) via Quicksync
 ```yaml
 ffmpeg:
  hwaccel_args: preset-vaapi
 ```
 **NOTICE**: With some of the processors, like the J4125, the default driver `iHD` doesn't seem to work correctly for hardware acceleration. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the frigate.yml for HA OS users](advanced.md#environment_vars).
 ### Intel-based CPUs (>=10th Generation) via Quicksync
 ```yaml
 ffmpeg:
  hwaccel_args: preset-intel-qsv-h264
 ```
 ### AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
 **Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
 ```yaml
 ffmpeg:
  hwaccel_args: preset-vaapi
 ```
 ### NVIDIA GPU
 [Supported Nvidia GPUs for Decoding](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new)
 These instructions are based on the [jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux)
 Add `--gpus all` to your docker run command or update your compose file.
 If you have multiple Nvidia graphic card, you can add them with their ids obtained via `nvidia-smi` command
 ```yaml
 services:
  frigate:
    ...
-    image: blakeblackshear/frigate:stable-amd64nvidia
+    image: ghcr.io/blakeblackshear/frigate:stable
-    runtime: nvidia
+    deploy:    # <------------- Add this section
-    environment:
+      resources:
-      - NVIDIA_VISIBLE_DEVICES=all
+        reservations:
-      - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
+          devices:
            - driver: nvidia
              device_ids: ['0'] # this is only needed when using multiple GPUs
              count: 1 # number of GPUs
              capabilities: [gpu]
 ```
-### Setting up the configuration file
+The decoder you need to pass in the `hwaccel_args` will depend on the input video.
 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)
-```
+```shell
 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)
@@ -54,21 +85,23 @@ A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the c
 V..... vp9_cuvid            Nvidia CUVID VP9 decoder (codec vp9)
 ```
-For example, for H265 video (hevc), you'll select `hevc_cuvid`. Add
+For example, for H264 video, you'll select `preset-nvidia-h264`.
 `-c:v hevc_cuvid` to your ffmpeg input arguments:
-```
+```yaml
 ffmpeg:
-  input_args:
+  hwaccel_args: preset-nvidia-h264
    ...
    - -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:
 :::note
 nvidia-smi may not show ffmpeg processes when run inside the container [due to docker limitations](https://github.com/NVIDIA/nvidia-docker/issues/179#issuecomment-645579458)
 :::
 ```
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 455.38       Driver Version: 455.38       CUDA Version: 11.1     |
@@ -96,15 +129,3 @@ processes:
 |    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.
--- a/docs/docs/configuration/index.md
+++ b/docs/docs/configuration/index.md
@@ -1,13 +1,13 @@
 ---
 id: index
-title: Configuration
+title: Configuration File
 ---
-For HassOS installations, the default location for the config file is `/config/frigate.yml`.
+For Home Assistant Addon installations, the config file needs to be in the root of your Home Assistant config directory (same location as `configuration.yaml`) and named `frigate.yml`.
-For all other installations, the default location for the config file is '/config/config.yml'. This can be overridden with the `CONFIG_FILE` environment variable. Camera specific ffmpeg parameters are documented [here](cameras.md).
+For all other installation types, the config file should be mapped to `/config/config.yml` inside the container.
-It is recommended to start with a minimal configuration and add to it:
+It is recommended to start with a minimal configuration and add to it as described in [this guide](../guides/getting_started.md):
 ```yaml
 mqtt:
@@ -19,34 +19,45 @@ cameras:
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
          roles:
            - detect
-            - rtmp
+            - restream
    detect:
      width: 1280
      height: 720
      fps: 5
 ```
-## Required
+### VSCode Configuration Schema
-## `mqtt`
+VSCode (and VSCode addon) supports the JSON schemas which will automatically validate the config. This can be added by adding `# yaml-language-server: $schema=http://frigate_host:5000/api/config/schema.json` to the top of the config file. `frigate_host` being the IP address of Frigate or `ccab4aaf-frigate` if running in the addon.
 ### Full configuration reference:
 :::caution
 It is not recommended to copy this full configuration file. Only specify values that are different from the defaults. Configuration options and default values may change in future versions.
 :::
 ```yaml
 mqtt:
  # Optional: Enable mqtt server (default: shown below)
  enabled: True
  # Required: host name
  host: mqtt.server.com
  # Optional: port (default: shown below)
  port: 1883
  # Optional: topic prefix (default: shown below)
-  # WARNING: must be unique if you are running multiple instances
+  # NOTE: must be unique if you are running multiple instances
  topic_prefix: frigate
  # Optional: client id (default: shown below)
-  # WARNING: must be unique if you are running multiple instances
+  # NOTE: must be unique if you are running multiple instances
  client_id: frigate
  # Optional: user
  # NOTE: MQTT user can be specified with an environment variables that must begin with 'FRIGATE_'.
  #       e.g. user: '{FRIGATE_MQTT_USER}'
  user: mqtt_user
  # Optional: password
-  # NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}.
+  # NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
-  #       eg. password: '{FRIGATE_MQTT_PASSWORD}'
+  #       e.g. password: '{FRIGATE_MQTT_PASSWORD}'
  password: password
  # Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
  tls_ca_certs: /path/to/ca.crt
@@ -61,59 +72,43 @@ mqtt:
  tls_insecure: false
  # Optional: interval in seconds for publishing stats (default: shown below)
  stats_interval: 60
 ```
-## `cameras`
+# Optional: Detectors configuration. Defaults to a single CPU detector
 detectors:
  # Required: name of the detector
  detector_name:
    # Required: type of the detector
    # Frigate provided types include 'cpu', 'edgetpu', and 'openvino' (default: shown below)
    # Additional detector types can also be plugged in.
    # Detectors may require additional configuration.
    # Refer to the Detectors configuration page for more information.
    type: cpu
-Each of your cameras must be configured. The following is the minimum required to register a camera in Frigate. Check the [camera configuration page](cameras.md) for a complete list of options.
+# Optional: Database configuration
 ```yaml
 cameras:
  # Name of your camera
  front_door:
    ffmpeg:
      inputs:
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
          roles:
            - detect
            - rtmp
    detect:
      width: 1280
      height: 720
      fps: 5
 ```
 ## Optional
 ### `database`
 ```yaml
 database:
  # The path to store the SQLite DB (default: shown below)
  path: /media/frigate/frigate.db
 ```
 ### `model`
 ```yaml
 # Optional: model modifications
 model:
  # Optional: path to the model (default: automatic based on detector)
  path: /edgetpu_model.tflite
  # Optional: path to the labelmap (default: shown below)
  labelmap_path: /labelmap.txt
  # Required: Object detection model input width (default: shown below)
  width: 320
  # Required: Object detection model input height (default: shown below)
  height: 320
-  # Optional: Label name modifications
+  # Optional: Object detection model input colorspace
  # Valid values are rgb, bgr, or yuv. (default: shown below)
  input_pixel_format: rgb
  # Optional: Object detection model input tensor format
  # Valid values are nhwc or nchw (default: shown below)
  input_tensor: nhwc
  # Optional: Label name modifications. These are merged into the standard labelmap.
  labelmap:
-    2: vehicle # previously "car"
+    2: vehicle
 ```
 ### `detectors`
 Check the [detectors configuration page](detectors.md) for a complete list of options.
 ### `logger`
 ```yaml
 # Optional: logger verbosity settings
 logger:
  # Optional: Default log verbosity (default: shown below)
@@ -121,120 +116,19 @@ logger:
  # Optional: Component specific logger overrides
  logs:
    frigate.event: debug
 ```
-### `record`
+# Optional: set environment variables
 environment_vars:
  EXAMPLE_VAR: value
-Can be overridden at the camera level. 24/7 recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM/DD/HH/<camera_name>/MM.SS.mp4`. These recordings are written directly from your camera stream without re-encoding and are available in Home Assistant's media browser. Each camera supports a configurable retention policy in the config.
+# Optional: birdseye configuration
-
+# NOTE: Can (enabled, mode) be overridden at the camera level
 Exported clips are also created off of these recordings. Frigate chooses the largest matching retention value between the recording retention and the event retention when determining if a recording should be removed.
 These recordings will not be playable in the web UI or in Home Assistant's media browser unless your camera sends video as h264.
 :::caution
 Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
 :::
 ```yaml
 record:
  # Optional: Enable recording (default: shown below)
  enabled: False
  # Optional: Number of days to retain (default: shown below)
  retain_days: 0
  # Optional: Event recording settings
  events:
    # Optional: Enable event recording retention settings (default: shown below)
    enabled: False
    # Optional: Maximum length of time to retain video during long events. (default: shown below)
    # NOTE: If an object is being tracked for longer than this amount of time, the cache
    #       will begin to expire and the resulting clip will be the last x seconds of the event unless retain_days under record is > 0.
    max_seconds: 300
    # Optional: Number of seconds before the event to include (default: shown below)
    pre_capture: 5
    # Optional: Number of seconds after the event to include (default: shown below)
    post_capture: 5
    # Optional: Objects to save recordings for. (default: all tracked objects)
    objects:
      - person
    # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
    required_zones: []
    # Optional: Retention settings for events
    retain:
      # Required: Default retention days (default: shown below)
      default: 10
      # Optional: Per object retention days
      objects:
        person: 15
 ```
 ## `snapshots`
 Can be overridden at the camera level. Global snapshot retention settings.
 ```yaml
 # Optional: Configuration for the jpg snapshots written to the clips directory for each event
 snapshots:
  retain:
    # Required: Default retention days (default: shown below)
    default: 10
    # Optional: Per object retention days
    objects:
      person: 15
 ```
 ### `ffmpeg`
 Can be overridden at the camera level.
 ```yaml
 ffmpeg:
  # Optional: global ffmpeg args (default: shown below)
  global_args: -hide_banner -loglevel warning
  # Optional: global hwaccel args (default: shown below)
  # NOTE: See hardware acceleration docs for your specific device
  hwaccel_args: []
  # Optional: global input args (default: shown below)
  input_args: -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1
  # Optional: global output args
  output_args:
    # Optional: output args for detect streams (default: shown below)
    detect: -f rawvideo -pix_fmt yuv420p
    # Optional: output args for record streams (default: shown below)
    record: -f segment -segment_time 60 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
    # Optional: output args for rtmp streams (default: shown below)
    rtmp: -c copy -f flv
 ```
 ### `objects`
 Can be overridden at the camera level. For a list of available objects, see the [objects documentation](./objects.mdx).
 ```yaml
 objects:
  # Optional: list of objects to track from labelmap.txt (default: shown below)
  track:
    - person
  # Optional: filters to reduce false positives for specific object types
  filters:
    person:
      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
      min_area: 5000
      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
      max_area: 100000
      # Optional: minimum score for the object to initiate tracking (default: shown below)
      min_score: 0.5
      # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
      threshold: 0.7
 ```
 ### `birdseye`
 A dynamic combined camera view of all tracked cameras. This is optimized for minimal bandwidth and server resource utilization. Encoding is only performed when actively viewing the video feed, and only active (defined by the mode) cameras are included in the view.
 ```yaml
 birdseye:
  # Optional: Enable birdseye view (default: shown below)
  enabled: True
  # Optional: Restream birdseye via RTSP (default: shown below)
  # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
  restream: False
  # Optional: Width of the output resolution (default: shown below)
  width: 1280
  # Optional: Height of the output resolution (default: shown below)
@@ -247,4 +141,354 @@ birdseye:
  #   motion - cameras are included if motion was detected in the last 30 seconds
  #   continuous - all cameras are included always
  mode: objects
 # Optional: ffmpeg configuration
 # More information about presets at https://docs.frigate.video/configuration/ffmpeg_presets
 ffmpeg:
  # Optional: global ffmpeg args (default: shown below)
  global_args: -hide_banner -loglevel warning
  # Optional: global hwaccel args (default: shown below)
  # NOTE: See hardware acceleration docs for your specific device
  hwaccel_args: []
  # Optional: global input args (default: shown below)
  input_args: preset-rtsp-generic
  # Optional: global output args
  output_args:
    # Optional: output args for detect streams (default: shown below)
    detect: -f rawvideo -pix_fmt yuv420p
    # Optional: output args for record streams (default: shown below)
    record: preset-record-generic
    # Optional: output args for rtmp streams (default: shown below)
    rtmp: preset-rtmp-generic
 # Optional: Detect configuration
 # NOTE: Can be overridden at the camera level
 detect:
  # Optional: width of the frame for the input with the detect role (default: shown below)
  width: 1280
  # Optional: height of the frame for the input with the detect role (default: shown below)
  height: 720
  # Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 5
  # Optional: enables detection for the camera (default: True)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: True
  # Optional: Number of frames without a detection before Frigate considers an object to be gone. (default: 5x the frame rate)
  max_disappeared: 25
  # Optional: Configuration for stationary object tracking
  stationary:
    # Optional: Frequency for confirming stationary objects (default: shown below)
    # When set to 0, object detection will not confirm stationary objects until movement is detected.
    # If set to 10, object detection will run to confirm the object still exists on every 10th frame.
    interval: 0
    # Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
    threshold: 50
    # Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
    # This can help with false positives for objects that should only be stationary for a limited amount of time.
    # It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
    # car at the default.
    # WARNING: Setting these values overrides default behavior and disables stationary object tracking.
    #          There are very few situations where you would want it disabled. It is NOT recommended to
    #          copy these values from the example config into your config unless you know they are needed.
    max_frames:
      # Optional: Default for all object types (default: not set, track forever)
      default: 3000
      # Optional: Object specific values
      objects:
        person: 1000
 # Optional: Object configuration
 # NOTE: Can be overridden at the camera level
 objects:
  # Optional: list of objects to track from labelmap.txt (default: shown below)
  track:
    - person
  # Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
  # Checks based on the bottom center of the bounding box of the object.
  # NOTE: This mask is COMBINED with the object type specific mask below
  mask: 0,0,1000,0,1000,200,0,200
  # Optional: filters to reduce false positives for specific object types
  filters:
    person:
      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
      min_area: 5000
      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
      max_area: 100000
      # Optional: minimum width/height of the bounding box for the detected object (default: 0)
      min_ratio: 0.5
      # Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
      max_ratio: 2.0
      # Optional: minimum score for the object to initiate tracking (default: shown below)
      min_score: 0.5
      # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
      threshold: 0.7
      # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object
      mask: 0,0,1000,0,1000,200,0,200
 # Optional: Motion configuration
 # NOTE: Can be overridden at the camera level
 motion:
  # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
  # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
  # The value should be between 1 and 255.
  threshold: 25
  # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
  # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
  # make motion detection more sensitive to smaller moving objects.
  # As a rule of thumb:
  #  - 15 - high sensitivity
  #  - 30 - medium sensitivity
  #  - 50 - low sensitivity
  contour_area: 30
  # Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
  # Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
  # Too low and a fast moving person wont be detected as motion.
  delta_alpha: 0.2
  # Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
  # Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
  # Low values will cause things like moving shadows to be detected as motion for longer.
  # https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
  frame_alpha: 0.2
  # Optional: Height of the resized motion frame  (default: 50)
  # This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
  # of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
  frame_height: 50
  # Optional: motion mask
  # NOTE: see docs for more detailed info on creating masks
  mask: 0,900,1080,900,1080,1920,0,1920
  # Optional: improve contrast (default: shown below)
  # Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
  # for daytime.
  improve_contrast: False
  # Optional: Delay when updating camera motion through MQTT from ON -> OFF (default: shown below).
  mqtt_off_delay: 30
 # Optional: Record configuration
 # NOTE: Can be overridden at the camera level
 record:
  # Optional: Enable recording (default: shown below)
  # WARNING: If recording is disabled in the config, turning it on via
  #          the UI or MQTT later will have no effect.
  # WARNING: Frigate does not currently support limiting recordings based
  #          on available disk space automatically. If using recordings,
  #          you must specify retention settings for a number of days that
  #          will fit within the available disk space of your drive or Frigate
  #          will crash.
  enabled: False
  # Optional: Number of minutes to wait between cleanup runs (default: shown below)
  # This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
  expire_interval: 60
  # Optional: Retention settings for recording
  retain:
    # Optional: Number of days to retain recordings regardless of events (default: shown below)
    # NOTE: This should be set to 0 and retention should be defined in events section below
    #       if you only want to retain recordings of events.
    days: 0
    # Optional: Mode for retention. Available options are: all, motion, and active_objects
    #   all - save all recording segments regardless of activity
    #   motion - save all recordings segments with any detected motion
    #   active_objects - save all recording segments with active/moving objects
    # NOTE: this mode only applies when the days setting above is greater than 0
    mode: all
  # Optional: Event recording settings
  events:
    # Optional: Number of seconds before the event to include (default: shown below)
    pre_capture: 5
    # Optional: Number of seconds after the event to include (default: shown below)
    post_capture: 5
    # Optional: Objects to save recordings for. (default: all tracked objects)
    objects:
      - person
    # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
    required_zones: []
    # Optional: Retention settings for recordings of events
    retain:
      # Required: Default retention days (default: shown below)
      default: 10
      # Optional: Mode for retention. (default: shown below)
      #   all - save all recording segments for events regardless of activity
      #   motion - save all recordings segments for events with any detected motion
      #   active_objects - save all recording segments for event with active/moving objects
      #
      # NOTE: If the retain mode for the camera is more restrictive than the mode configured
      #       here, the segments will already be gone by the time this mode is applied.
      #       For example, if the camera retain mode is "motion", the segments without motion are
      #       never stored, so setting the mode to "all" here won't bring them back.
      mode: motion
      # Optional: Per object retention days
      objects:
        person: 15
 # Optional: Configuration for the jpg snapshots written to the clips directory for each event
 # NOTE: Can be overridden at the camera level
 snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: False
  # Optional: save a clean PNG copy of the snapshot image (default: shown below)
  clean_copy: True
  # Optional: print a timestamp on the snapshots (default: shown below)
  timestamp: False
  # Optional: draw bounding box on the snapshots (default: shown below)
  bounding_box: False
  # Optional: crop the snapshot (default: shown below)
  crop: False
  # Optional: height to resize the snapshot to (default: original size)
  height: 175
  # Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
  required_zones: []
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 10
    # Optional: Per object retention days
    objects:
      person: 15
 # Optional: RTMP configuration
 # NOTE: RTMP is deprecated in favor of restream
 # NOTE: Can be overridden at the camera level
 rtmp:
  # Optional: Enable the RTMP stream (default: False)
  enabled: False
 # Optional: Restream configuration
 # Uses https://github.com/AlexxIT/go2rtc (v0.1-rc9)
 go2rtc:
 # Optional: jsmpeg stream configuration for WebUI
 live:
  # Optional: Set the name of the stream that should be used for live view
  # in frigate WebUI. (default: name of camera)
  stream_name: camera_name
  # Optional: Set the height of the jsmpeg stream. (default: 720)
  # This must be less than or equal to the height of the detect stream. Lower resolutions
  # reduce bandwidth required for viewing the jsmpeg stream. Width is computed to match known aspect ratio.
  height: 720
  # Optional: Set the encode quality of the jsmpeg stream (default: shown below)
  # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
  quality: 8
 # Optional: in-feed timestamp style configuration
 # NOTE: Can be overridden at the camera level
 timestamp_style:
  # Optional: Position of the timestamp (default: shown below)
  #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
  position: "tl"
  # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
  #           Additional Examples:
  #             german: "%d.%m.%Y %H:%M:%S"
  format: "%m/%d/%Y %H:%M:%S"
  # Optional: Color of font
  color:
    # All Required when color is specified (default: shown below)
    red: 255
    green: 255
    blue: 255
  # Optional: Line thickness of font (default: shown below)
  thickness: 2
  # Optional: Effect of lettering (default: shown below)
  #           None (No effect),
  #           "solid" (solid background in inverse color of font)
  #           "shadow" (shadow for font)
  effect: None
 # Required
 cameras:
  # Required: name of the camera
  back:
    # Optional: Enable/Disable the camera (default: shown below).
    # If disabled: config is used but no live stream and no capture etc.
    # Events/Recordings are still viewable.
    enabled: True
    # Required: ffmpeg settings for the camera
    ffmpeg:
      # Required: A list of input streams for the camera. See documentation for more information.
      inputs:
        # Required: the path to the stream
        # NOTE: path may include environment variables, which must begin with 'FRIGATE_' and be referenced in {}
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
          # Required: list of roles for this stream. valid values are: detect,record,restream,rtmp
          # NOTICE: In addition to assigning the record, restream, and rtmp roles,
          # they must also be enabled in the camera config.
          roles:
            - detect
            - restream
            - rtmp
          # Optional: stream specific global args (default: inherit)
          # global_args:
          # Optional: stream specific hwaccel args (default: inherit)
          # hwaccel_args:
          # Optional: stream specific input args (default: inherit)
          # input_args:
      # Optional: camera specific global args (default: inherit)
      # global_args:
      # Optional: camera specific hwaccel args (default: inherit)
      # hwaccel_args:
      # Optional: camera specific input args (default: inherit)
      # input_args:
      # Optional: camera specific output args (default: inherit)
      # output_args:
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    # Optional: zones for this camera
    zones:
      # Required: name of the zone
      # NOTE: This must be different than any camera names, but can match with another zone on another
      #       camera.
      front_steps:
        # Required: List of x,y coordinates to define the polygon of the zone.
        # NOTE: Presence in a zone is evaluated only based on the bottom center of the objects bounding box.
        coordinates: 545,1077,747,939,788,805
        # Optional: List of objects that can trigger this zone (default: all tracked objects)
        objects:
          - person
        # Optional: Zone level object filters.
        # NOTE: The global and camera filters are applied upstream.
        filters:
          person:
            min_area: 5000
            max_area: 100000
            threshold: 0.7
    # Optional: Configuration for the jpg snapshots published via MQTT
    mqtt:
      # Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
      # NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
      # All other messages will still be published.
      enabled: True
      # Optional: print a timestamp on the snapshots (default: shown below)
      timestamp: True
      # Optional: draw bounding box on the snapshots (default: shown below)
      bounding_box: True
      # Optional: crop the snapshot (default: shown below)
      crop: True
      # Optional: height to resize the snapshot to (default: shown below)
      height: 270
      # Optional: jpeg encode quality (default: shown below)
      quality: 70
      # Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
      required_zones: []
    # Optional: Configuration for how camera is handled in the GUI.
    ui:
      # Optional: Adjust sort order of cameras in the UI. Larger numbers come later (default: shown below)
      # By default the cameras are sorted alphabetically.
      order: 0
      # Optional: Whether or not to show the camera in the Frigate UI (default: shown below)
      dashboard: True
 # Optional
 ui:
  # Optional: Set the default live mode for cameras in the UI (default: shown below)
  live_mode: mse
  # Optional: Set a timezone to use in the UI (default: use browser local time)
  timezone: None
  # Optional: Use an experimental recordings / camera view UI (default: shown below)
  experimental_ui: False
 ```
--- a/docs/docs/configuration/live.md
+++ b/docs/docs/configuration/live.md
@@ -0,0 +1,102 @@
 ---
 id: live
 title: Live View
 ---
 Frigate has different live view options, some of which require [restream](restream.md) to be enabled.
 ## Live View Options
 Live view options can be selected while viewing the live stream. The options are:
 | Source | Latency | Frame Rate                            | Resolution     | Audio                        | Requires Restream | Other Limitations                            |
 | ------ | ------- | ------------------------------------- | -------------- | ---------------------------- | ----------------- | -------------------------------------------- |
 | jsmpeg | low     | same as `detect -> fps`, capped at 10 | same as detect | no                           | no                | none                                         |
 | mse    | low     | native                                | native         | yes (depends on audio codec) | yes               | not supported on iOS, Firefox is h.264 only  |
 | webrtc | lowest  | native                                | native         | yes (depends on audio codec) | yes               | requires extra config, doesn't support h.265 |
 ### Audio Support
 MSE Requires AAC audio, WebRTC requires PCMU/PCMA, or opus audio. If you want to support both MSE and WebRTC then your restream config needs to use ffmpeg to set both.
 ```yaml
 go2rtc:
  streams:
    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
 ```
 However, chances are that your camera already provides at least one usable audio type, so you just need restream to add the missing one. For example, if your camera outputs audio in AAC format:
 ```yaml
 go2rtc:
  streams:
    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=copy#audio=opus
 ```
 Which will reuse your camera AAC audio, while also adding one track in OPUS format.
 If your camera uses RTSP and supports the audio type for the live view you want to use, then you can pass the camera stream to go2rtc without ffmpeg.
 ```yaml
 go2rtc:
  streams:
    test_cam: rtsp://192.168.1.5:554/live0
 ```
 ### Setting Stream For Live UI
 There may be some cameras that you would prefer to use the sub stream for live view, but the main stream for recording. This can be done via `live -> stream_name`.
 ```yaml
 go2rtc:
  streams:
    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
    test_cam_sub: ffmpeg:rtsp://192.168.1.5:554/substream#video=copy#audio=aac#audio=opus
 cameras:
  test_cam:
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-copy
      inputs:
        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
          input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/test_cam_sub?video=copy # <--- the name here must match the name of the camera_sub in restream
          input_args: preset-rtsp-restream
          roles:
            - detect
    live:
      stream_name: test_cam_sub
 ```
 ### WebRTC extra configuration:
 WebRTC works by creating a TCP or UDP connection on port `8555`. However, it requires additional configuration:
 - For external access, over the internet, setup your router to forward port `8555` to port `8555` on the Frigate device, for both TCP and UDP.
 - For internal/local access, you will need to use a custom go2rtc config:
  1. Add your internal IP to the list of `candidates`. Here is an example, assuming that `192.168.1.10` is the local IP of the device running Frigate:
     ```yaml
     go2rtc:
       streams:
         test_cam: ...
       webrtc:
         candidates:
           - 192.168.1.10:8555
           - stun:8555
     ```
 :::note
 If you are having difficulties getting WebRTC to work and you are running Frigate with docker, you may want to try changing the container network mode:
 - `network: host`, in this mode you don't need to forward any ports. The services inside of the Frigate container will have full access to the network interfaces of your host machine as if they were running natively and not in a container. Any port conflicts will need to be resolved. This network mode is recommended by go2rtc, but we recommend you only use it if necessary.
 - `network: bridge` creates a virtual network interface for the container, and the container will have full access to it. You also don't need to forward any ports, however, the IP for accessing Frigate locally will differ from the IP of the host machine. Your router will see Frigate as if it was a new device connected in the network.
 :::
 See https://github.com/AlexxIT/go2rtc#module-webrtc for more information about this.
--- a/docs/docs/configuration/masks.md
+++ b/docs/docs/configuration/masks.md
@@ -0,0 +1,77 @@
 ---
 id: masks
 title: Masks
 ---
 There are two types of masks available:
 **Motion masks**: Motion masks are used to prevent unwanted types of motion from triggering detection. Try watching the debug feed with `Motion Boxes` enabled to see what may be regularly detected as motion. For example, you want to mask out your timestamp, the sky, rooftops, etc. Keep in mind that this mask only prevents motion from being detected and does not prevent objects from being detected if object detection was started due to motion in unmasked areas. Motion is also used during object tracking to refine the object detection area in the next frame. Over masking will make it more difficult for objects to be tracked. To see this effect, create a mask, and then watch the video feed with `Motion Boxes` enabled again.
 **Object filter masks**: Object filter masks are used to filter out false positives for a given object type based on location. These should be used to filter any areas where it is not possible for an object of that type to be. The bottom center of the detected object's bounding box is evaluated against the mask. If it is in a masked area, it is assumed to be a false positive. For example, you may want to mask out rooftops, walls, the sky, treetops for people. For cars, masking locations other than the street or your driveway will tell Frigate that anything in your yard is a false positive.
 To create a poly mask:
 1. Visit the Web UI
 1. Click the camera you wish to create a mask for
 1. Select "Debug" at the top
 1. Expand the "Options" below the video feed
 1. Click "Mask & Zone creator"
 1. Click "Add" on the type of mask or zone you would like to create
 1. Click on the camera's latest image to create a masked area. The yaml representation will be updated in real-time
 1. When you've finished creating your mask, click "Copy" and paste the contents into your config file and restart Frigate
 Example of a finished row corresponding to the below example image:
 ```yaml
 motion:
  mask: "0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432"
 ```
 Multiple masks can be listed.
 ```yaml
 motion:
  mask:
    - 458,1346,336,973,317,869,375,866,432
    - 0,461,3,0,1919,0,1919,843,1699,492,1344
 ```
 ![poly](/img/example-mask-poly-min.png)
 ### Further Clarification
 This is a response to a [question posed on reddit](https://www.reddit.com/r/homeautomation/comments/ppxdve/replacing_my_doorbell_with_a_security_camera_a_6/hd876w4?utm_source=share&utm_medium=web2x&context=3):
 It is helpful to understand a bit about how Frigate uses motion detection and object detection together.
 First, Frigate uses motion detection as a first line check to see if there is anything happening in the frame worth checking with object detection.
 Once motion is detected, it tries to group up nearby areas of motion together in hopes of identifying a rectangle in the image that will capture the area worth inspecting. These are the red "motion boxes" you see in the debug viewer.
 After the area with motion is identified, Frigate creates a "region" (the green boxes in the debug viewer) to run object detection on. The models are trained on square images, so these regions are always squares. It adds a margin around the motion area in hopes of capturing a cropped view of the object moving that fills most of the image passed to object detection, but doesn't cut anything off. It also takes into consideration the location of the bounding box from the previous frame if it is tracking an object.
 After object detection runs, if there are detected objects that seem to be cut off, Frigate reframes the region and runs object detection again on the same frame to get a better look.
 All of this happens for each area of motion and tracked object.
 > Are you simply saying that INITIAL triggering of any kind of detection will only happen in un-masked areas, but that once this triggering happens, the masks become irrelevant and object detection takes precedence?
 Essentially, yes. I wouldn't describe it as object detection taking precedence though. The motion masks just prevent those areas from being counted as motion. Those masks do not modify the regions passed to object detection in any way, so you can absolutely detect objects in areas masked for motion.
 > If so, this is completely expected and intuitive behavior for me. Because obviously if a "foot" starts motion detection the camera should be able to check if it's an entire person before it fully crosses into the zone. The docs imply this is the behavior, so I also don't understand why this would be detrimental to object detection on the whole.
 When just a foot is triggering motion, Frigate will zoom in and look only at the foot. If that even qualifies as a person, it will determine the object is being cut off and look again and again until it zooms back out enough to find the whole person.
 It is also detrimental to how Frigate tracks a moving object. Motion nearby the bounding box from the previous frame is used to intelligently determine where the region should be in the next frame. With too much masking, tracking is hampered and if an object walks from an unmasked area into a fully masked area, they essentially disappear and will be picked up as a "new" object if they leave the masked area. This is important because Frigate uses the history of scores while tracking an object to determine if it is a false positive or not. It takes a minimum of 3 frames for Frigate to determine is the object type it thinks it is, and the median score must be greater than the threshold. If a person meets this threshold while on the sidewalk before they walk into your stoop, you will get an alert the instant they step a single foot into a zone.
 > I thought the main point of this feature was to cut down on CPU use when motion is happening in unnecessary areas.
 It is, but the definition of "unnecessary" varies. I want to ignore areas of motion that I know are definitely not being triggered by objects of interest. Timestamps, trees, sky, rooftops. I don't want to ignore motion from objects that I want to track and know where they go.
 > For me, giving my masks ANY padding results in a lot of people detection I'm not interested in. I live in the city and catch a lot of the sidewalk on my camera. People walk by my front door all the time and the margin between the sidewalk and actually walking onto my stoop is very thin, so I basically have everything but the exact contours of my stoop masked out. This results in very tidy detections but this info keeps throwing me off. Am I just overthinking it?
 This is what `required_zones` are for. You should define a zone (remember this is evaluated based on the bottom center of the bounding box) and make it required to save snapshots and clips (now events in 0.9.0). You can also use this in your conditions for a notification.
 > Maybe my specific situation just warrants this. I've just been having a hard time understanding the relevance of this information - it seems to be that it's exactly what would be expected when "masking out" an area of ANY image.
 That may be the case for you. Frigate will definitely work harder tracking people on the sidewalk to make sure it doesn't miss anyone who steps foot on your stoop. The trade off with the way you have it now is slower recognition of objects and potential misses. That may be acceptable based on your needs. Also, if your resolution is low enough on the detect stream, your regions may already be so big that they grab the entire object anyway.
--- a/docs/docs/configuration/objects.mdx
+++ b/docs/docs/configuration/objects.mdx
@@ -1,12 +1,15 @@
 ---
 id: objects
-title: Default available objects
+title: Objects
 sidebar_label: Available objects
 ---
 import labels from "../../../labelmap.txt";
-By default, Frigate includes the following object models from the Google Coral test data.
+Frigate includes the object models listed below from the Google Coral test data.
 Please note: 
 - `car` is listed twice because `truck` has been renamed to `car` by default. These object types are frequently confused.
 - `person` is the only tracked object by default. See the [full configuration reference](index.md#full-configuration-reference) for an example of expanding the list of tracked objects.
 <ul>
  {labels.split("\n").map((label) => (
@@ -22,4 +25,4 @@ Models for both CPU and EdgeTPU (Coral) are bundled in the image. You can use yo
 - EdgeTPU Model: `/edgetpu_model.tflite`
 - Labels: `/labelmap.txt`
-You also need to update the model width/height in the config if they differ from the defaults.
+You also need to update the [model config](advanced.md#model) if they differ from the defaults.
--- a/docs/docs/configuration/optimizing.md
+++ b/docs/docs/configuration/optimizing.md
@@ -1,72 +0,0 @@
 ---
 id: optimizing
 title: Optimizing performance
 ---
 - **Google Coral**: It is strongly recommended to use a Google Coral, Frigate will no longer fall back to CPU in the event one is not found. Offloading TensorFlow to the Google Coral is an order of magnitude faster and will reduce your CPU load dramatically. A $60 device will outperform $2000 CPU. Frigate should work with any supported Coral device from https://coral.ai
 - **Resolution**: For the `detect` input, choose a camera resolution where the smallest object you want to detect barely fits inside a 300x300px square. The model used by Frigate is trained on 300x300px images, so you will get worse performance and no improvement in accuracy by using a larger resolution since Frigate resizes the area where it is looking for objects to 300x300 anyway.
 - **FPS**: 5 frames per second should be adequate. Higher frame rates will require more CPU usage without improving detections or accuracy. Reducing the frame rate on your camera will have the greatest improvement on system resources.
 - **Hardware Acceleration**: Make sure you configure the `hwaccel_args` for your hardware. They provide a significant reduction in CPU usage if they are available.
 - **Masks**: Masks can be used to ignore motion and reduce your idle CPU load. If you have areas with regular motion such as timestamps or trees blowing in the wind, frigate will constantly try to determine if that motion is from a person or other object you are tracking. Those detections not only increase your average CPU usage, but also clog the pipeline for detecting objects elsewhere. If you are experiencing high values for `detection_fps` when no objects of interest are in the cameras, you should use masks to tell frigate to ignore movement from trees, bushes, timestamps, or any part of the image where detections should not be wasted looking for objects.
 ### FFmpeg Hardware Acceleration
 Frigate works on Raspberry Pi 3b/4 and x86 machines. It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible.
 Raspberry Pi 3/4 (32-bit OS)
 **NOTICE**: If you are using the addon, ensure you turn off `Protection mode` for hardware acceleration.
 ```yaml
 ffmpeg:
  hwaccel_args:
    - -c:v
    - h264_mmal
 ```
 Raspberry Pi 3/4 (64-bit OS)
 **NOTICE**: If you are using the addon, ensure you turn off `Protection mode` for hardware acceleration.
 ```yaml
 ffmpeg:
  hwaccel_args:
    - -c:v
    - h264_v4l2m2m
 ```
 Intel-based CPUs (<10th Generation) via Quicksync (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
 ```yaml
 ffmpeg:
  hwaccel_args:
    - -hwaccel
    - vaapi
    - -hwaccel_device
    - /dev/dri/renderD128
    - -hwaccel_output_format
    - yuv420p
 ```
 Intel-based CPUs (>=10th Generation) via Quicksync (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
 ```yaml
 ffmpeg:
  hwaccel_args:
    - -hwaccel
    - qsv
    - -qsv_device
    - /dev/dri/renderD128
 ```
 AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver (https://trac.ffmpeg.org/wiki/Hardware/QuickSync)
 **Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
 ```yaml
 ffmpeg:
  hwaccel_args:
    - -hwaccel
    - vaapi
    - -hwaccel_device
    - /dev/dri/renderD128
 ```
 Nvidia GPU based decoding via NVDEC is supported, but requires special configuration. See the [nvidia NVDEC documentation](/configuration/nvdec) for more details.
--- a/docs/docs/configuration/record.md
+++ b/docs/docs/configuration/record.md
@@ -0,0 +1,82 @@
 ---
 id: record
 title: Recording
 ---
 Recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM-DD/HH/<camera_name>/MM.SS.mp4`. These recordings are written directly from your camera stream without re-encoding. Each camera supports a configurable retention policy in the config. Frigate chooses the largest matching retention value between the recording retention and the event retention when determining if a recording should be removed.
 New recording segments are written from the camera stream to cache, they are only moved to disk if they match the setup recording retention policy.
 H265 recordings can be viewed in Chrome 108+, Edge and Safari only. All other browsers require recordings to be encoded with H264.
 ## Will Frigate delete old recordings if my storage runs out?
 As of Frigate 0.12 if there is less than an hour left of storage, the oldest 2 hours of recordings will be deleted.
 ## What if I don't want 24/7 recordings?
 If you only used clips in previous versions with recordings disabled, you can use the following config to get the same behavior. This is also the default behavior when recordings are enabled.
 ```yaml
 record:
  enabled: True
  events:
    retain:
      default: 10
 ```
 This configuration will retain recording segments that overlap with events and have active tracked objects for 10 days. Because multiple events can reference the same recording segments, this avoids storing duplicate footage for overlapping events and reduces overall storage needs.
 When `retain -> days` is set to `0`, segments will be deleted from the cache if no events are in progress.
 ## Can I have "24/7" recordings, but only at certain times?
 Using Frigate UI, HomeAssistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
 **WARNING**: Recordings still must be enabled in the config. If a camera has recordings disabled in the config, enabling via the methods listed above will have no effect.
 ## What do the different retain modes mean?
 Frigate saves from the stream with the `record` role in 10 second segments. These options determine which recording segments are kept for 24/7 recording (but can also affect events).
 Let's say you have Frigate configured so that your doorbell camera would retain the last **2** days of 24/7 recording.
 - With the `all` option all 48 hours of those two days would be kept and viewable.
 - With the `motion` option the only parts of those 48 hours would be segments that Frigate detected motion. This is the middle ground option that won't keep all 48 hours, but will likely keep all segments of interest along with the potential for some extra segments.
 - With the `active_objects` option the only segments that would be kept are those where there was a true positive object that was not considered stationary.
 The same options are available with events. Let's consider a scenario where you drive up and park in your driveway, go inside, then come back out 4 hours later.
 - With the `all` option all segments for the duration of the event would be saved for the event. This event would have 4 hours of footage.
 - With the `motion` option all segments for the duration of the event with motion would be saved. This means any segment where a car drove by in the street, person walked by, lighting changed, etc. would be saved.
 - With the `active_objects` it would only keep segments where the object was active. In this case the only segments that would be saved would be the ones where the car was driving up, you going inside, you coming outside, and the car driving away. Essentially reducing the 4 hours to a minute or two of event footage.
 A configuration example of the above retain modes where all `motion` segments are stored for 7 days and `active objects` are stored for 14 days would be as follows:
 ```yaml
 record:
  enabled: True
  retain:
    days: 7
    mode: motion
  events:
    retain:
      default: 14
      mode: active_objects
 ```
 The above configuration example can be added globally or on a per camera basis.
 ### Object Specific Retention
 You can also set specific retention length for an object type. The below configuration example builds on from above but also specifies that recordings of dogs only need to be kept for 2 days and recordings of cars should be kept for 7 days.
 ```yaml
 record:
  enabled: True
  retain:
    days: 7
    mode: motion
  events:
    retain:
      default: 14
      mode: active_objects
      objects:
        dog: 2
        car: 7
 ```
--- a/docs/docs/configuration/restream.md
+++ b/docs/docs/configuration/restream.md
@@ -0,0 +1,70 @@
 ---
 id: restream
 title: Restream
 ---
 ### RTSP
 Frigate can restream your video feed as an RTSP feed for other applications such as Home Assistant to utilize it at `rtsp://<frigate_host>:8554/<camera_name>`. Port 8554 must be open. [This allows you to use a video feed for detection in Frigate and Home Assistant live view at the same time without having to make two separate connections to the camera](#reduce-connections-to-camera). The video feed is copied from the original video feed directly to avoid re-encoding. This feed does not include any annotation by Frigate.
 Frigate uses [go2rtc](https://github.com/AlexxIT/go2rtc) to provide its restream and MSE/WebRTC capabilities. The go2rtc config is hosted at the `go2rtc` in the config, see [go2rtc docs](https://github.com/AlexxIT/go2rtc#configuration) for more advanced configurations and features.
 #### Birdseye Restream
 Birdseye RTSP restream can be enabled at `birdseye -> restream` and accessed at `rtsp://<frigate_host>:8554/birdseye`. Enabling the restream will cause birdseye to run 24/7 which may increase CPU usage somewhat.
 ### RTMP (Deprecated)
 In previous Frigate versions RTMP was used for re-streaming. RTMP has disadvantages however including being incompatible with H.265, high bitrates, and certain audio codecs. RTMP is deprecated and it is recommended to move to the new restream role.
 ## Reduce Connections To Camera
 Some cameras only support one active connection or you may just want to have a single connection open to the camera. The RTSP restream allows this to be possible.
 ### With Single Stream
 One connection is made to the camera. One for the restream, `detect` and `record` connect to the restream.
 ```yaml
 go2rtc:
  streams:
    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
 cameras:
  test_cam:
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-copy
      inputs:
        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
 ```
 ### With Sub Stream
 Two connections are made to the camera. One for the sub stream, one for the restream, `record` connects to the restream.
 ```yaml
 go2rtc:
  streams:
    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
    test_cam_sub: ffmpeg:rtsp://192.168.1.5:554/substream#video=copy#audio=aac#audio=opus
 cameras:
  test_cam:
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-copy
      inputs:
        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
          input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/test_cam_sub?video=copy&audio=aac # <--- the name here must match the name of the camera_sub in restream
          input_args: preset-rtsp-restream
          roles:
            - detect
 ```
--- a/docs/docs/configuration/snapshots.md
+++ b/docs/docs/configuration/snapshots.md
@@ -0,0 +1,6 @@
 ---
 id: snapshots
 title: Snapshots
 ---
 Frigate can save a snapshot image to `/media/frigate/clips` for each event named as `<camera>-<id>.jpg`.
--- a/docs/docs/configuration/stationary_objects.md
+++ b/docs/docs/configuration/stationary_objects.md
@@ -0,0 +1,28 @@
 # Stationary Objects
 An object is considered stationary when it is being tracked and has been in a very similar position for a certain number of frames. This number is defined in the configuration under `detect -> stationary -> threshold`, and is 10x the frame rate (or 10 seconds) by default. Once an object is considered stationary, it will remain stationary until motion occurs near the object at which point object detection will start running again. If the object changes location, it will be considered active.
 ## Why does it matter if an object is stationary?
 Once an object becomes stationary, object detection will not be continually run on that object. This serves to reduce resource usage and redundant detections when there has been no motion near the tracked object. This also means that Frigate is contextually aware, and can for example [filter out recording segments](record.md#what-do-the-different-retain-modes-mean) to only when the object is considered active. Motion alone does not determine if an object is "active" for active_objects segment retention. Lighting changes for a parked car won't make an object active.
 ## Tuning stationary behavior
 The default config is:
 ```yaml
 detect:
  stationary:
    interval: 0
    threshold: 50
 ```
 `interval` is defined as the frequency for running detection on stationary objects. This means that by default once an object is considered stationary, detection will not be run on it until motion is detected. With `interval > 0`, every nth frames detection will be run to make sure the object is still there.
 NOTE: There is no way to disable stationary object tracking with this value.
 `threshold` is the number of frames an object needs to remain relatively still before it is considered stationary.
 ## Avoiding stationary objects
 In some cases, like a driveway, you may prefer to only have an event when a car is coming & going vs a constant event of it stationary in the driveway. [This docs sections](../guides/stationary_objects.md) explains how to approach that scenario.
--- a/docs/docs/configuration/user_interface.md
+++ b/docs/docs/configuration/user_interface.md
@@ -0,0 +1,15 @@
 ---
 id: user_interface
 title: User Interface Configurations
 ---
 ### Experimental UI
 While developing and testing new components, users may decide to opt-in to test potential new features on the front-end.
 ```yaml
 ui:
  use_experimental: true
 ```
 Note that experimental changes may contain bugs or may be removed at any time in future releases of the software. Use of these features are presented as-is and with no functional guarantee.
--- a/docs/docs/configuration/zones.md
+++ b/docs/docs/configuration/zones.md
@@ -0,0 +1,40 @@
 ---
 id: zones
 title: Zones
 ---
 Zones allow you to define a specific area of the frame and apply additional filters for object types so you can determine whether or not an object is within a particular area. Presence in a zone is evaluated based on the bottom center of the bounding box for the object. It does not matter how much of the bounding box overlaps with the zone.
 Zones cannot have the same name as a camera. If desired, a single zone can include multiple cameras if you have multiple cameras covering the same area by configuring zones with the same name for each camera.
 During testing, enable the Zones option for the debug feed so you can adjust as needed. The zone line will increase in thickness when any object enters the zone.
 To create a zone, follow [the steps for a "Motion mask"](masks.md), but use the section of the web UI for creating a zone instead.
 ### Restricting zones to specific objects
 Sometimes you want to limit a zone to specific object types to have more granular control of when events/snapshots are saved. The following example will limit one zone to person objects and the other to cars.
 ```yaml
 camera:
  record:
    events:
      required_zones:
        - entire_yard
        - front_yard_street
  snapshots:
    required_zones:
      - entire_yard
      - front_yard_street
  zones:
    entire_yard:
      coordinates: ... (everywhere you want a person)
      objects:
        - person
    front_yard_street:
      coordinates: ... (just the street)
      objects:
        - car
 ```
 Only car objects can trigger the `front_yard_street` zone and only person can trigger the `entire_yard`. You will get events for person objects that enter anywhere in the yard, and events for cars only if they enter the street.
--- a/docs/docs/development/contributing.md
+++ b/docs/docs/development/contributing.md
@@ -40,11 +40,11 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
 ### Setup
-#### 1. Build the docker container locally with the appropriate make command
+#### 1. Open the repo with Visual Studio Code
-For x86 machines, use `make amd64_frigate`
+Upon opening, you should be prompted to open the project in a remote container. This will build a container on top of the base Frigate container with all the development dependencies installed. This ensures everyone uses a consistent development environment without the need to install any dependencies on your host machine.
-#### 2. Create a local config file for testing
+#### 2. Modify your local config file for testing
 Place the file at `config/config.yml` in the root of the repo.
@@ -62,7 +62,6 @@ cameras:
          input_args: -re -stream_loop -1 -fflags +genpts
          roles:
            - detect
            - rtmp
    detect:
      height: 1080
      width: 1920
@@ -75,28 +74,56 @@ These input args tell ffmpeg to read the mp4 file in an infinite loop. You can u
 Create and place these files in a `debug` folder in the root of the repo. This is also where recordings will be created if you enable them in your test config. Update your config from step 2 above to point at the right file. You can check the `docker-compose.yml` file in the repo to see how the volumes are mapped.
-#### 4. Open the repo with Visual Studio Code
+#### 4. Run Frigate from the command line
 Upon opening, you should be prompted to open the project in a remote container. This will build a container on top of the base frigate container with all the development dependencies installed. This ensures everyone uses a consistent development environment without the need to install any dependencies on your host machine.
 #### 5. Run frigate from the command line
 VSCode will start the docker compose file for you and open a terminal window connected to `frigate-dev`.
 - Run `python3 -m frigate` to start the backend.
 - In a separate terminal window inside VS Code, change into the `web` directory and run `npm install && npm start` to start the frontend.
-#### 6. Teardown
+#### 5. Teardown
 After closing VSCode, you may still have containers running. To close everything down, just run `docker-compose down -v` to cleanup all containers.
 ### Testing
 #### FFMPEG Hardware Acceleration
 The following commands are used inside the container to ensure hardware acceleration is working properly.
 **Raspberry Pi (64bit)**
 This should show <50% CPU in top, and ~80% CPU without `-c:v h264_v4l2m2m`.
 ```shell
 ffmpeg -c:v h264_v4l2m2m -re -stream_loop -1 -i https://streams.videolan.org/ffmpeg/incoming/720p60.mp4 -f rawvideo -pix_fmt yuv420p pipe: > /dev/null
 ```
 **NVIDIA**
 ```shell
 ffmpeg -c:v h264_cuvid -re -stream_loop -1 -i https://streams.videolan.org/ffmpeg/incoming/720p60.mp4 -f rawvideo -pix_fmt yuv420p pipe: > /dev/null
 ```
 **VAAPI**
 ```shell
 ffmpeg -hwaccel vaapi -hwaccel_device /dev/dri/renderD128 -hwaccel_output_format yuv420p -re -stream_loop -1 -i https://streams.videolan.org/ffmpeg/incoming/720p60.mp4 -f rawvideo -pix_fmt yuv420p pipe: > /dev/null
 ```
 **QSV**
 ```shell
 ffmpeg -c:v h264_qsv -re -stream_loop -1 -i https://streams.videolan.org/ffmpeg/incoming/720p60.mp4 -f rawvideo -pix_fmt yuv420p pipe: > /dev/null
 ```
 ## Web Interface
 ### Prerequisites
 - [Frigate source code](#frigate-core-web-and-docs)
 - All [core](#core) prerequisites _or_ another running Frigate instance locally available
- Node.js 14
+- Node.js 16
 ### Making changes
@@ -117,20 +144,16 @@ cd web && npm install
 #### 3. Run the development server
 ```console
-cd web && npm run start
+cd web && npm run dev
 ```
 #### 3a. Run the development server against a non-local instance
-To run the development server against a non-local instance, you will need to provide an environment variable, `SNOWPACK_PUBLIC_API_HOST` that tells the web application how to connect to the Frigate API:
+To run the development server against a non-local instance, you will need to modify the API_HOST default return in `web/src/env.js`.
 ```console
 cd web && SNOWPACK_PUBLIC_API_HOST=http://<ip-address-to-your-frigate-instance>:5000 npm run start
 ```
 #### 4. Making changes
-The Web UI is built using [Snowpack](https://www.snowpack.dev/), [Preact](https://preactjs.com), and [Tailwind CSS](https://tailwindcss.com).
+The Web UI is built using [Vite](https://vitejs.dev/), [Preact](https://preactjs.com), and [Tailwind CSS](https://tailwindcss.com).
 Light guidelines and advice:
@@ -143,6 +166,7 @@ npm run lint
 ```
 - Add to unit tests and ensure they pass. As much as possible, you should strive to _increase_ test coverage whenever making changes. This will help ensure features do not accidentally become broken in the future.
 - If you run into error messages like "TypeError: Cannot read properties of undefined (reading 'context')" when running tests, this may be due to these issues (https://github.com/vitest-dev/vitest/issues/1910, https://github.com/vitest-dev/vitest/issues/1652) in vitest, but I haven't been able to resolve them.
 ```console
 npm run test
@@ -155,7 +179,7 @@ npm run test
 ### Prerequisites
 - [Frigate source code](#frigate-core-web-and-docs)
- Node.js 14
+- Node.js 16
 ### Making changes
@@ -182,3 +206,15 @@ npm run build
 ```
 This command generates static content into the `build` directory and can be served using any static contents hosting service.
 ## Official builds
 Setup buildx for multiarch
 ```
 docker buildx stop builder && docker buildx rm builder # <---- if existing
 docker run --privileged --rm tonistiigi/binfmt --install all
 docker buildx create --name builder --driver docker-container --driver-opt network=host --use
 docker buildx inspect builder --bootstrap
 make push
 ```
--- a/docs/docs/frigate/hardware.md
+++ b/docs/docs/frigate/hardware.md
@@ -0,0 +1,99 @@
 ---
 id: hardware
 title: Recommended hardware
 ---
 ## Cameras
 Cameras that output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. It is also helpful if your camera supports multiple substreams to allow different resolutions to be used for detection, streaming, and recordings without re-encoding.
 I recommend Dahua, Hikvision, and Amcrest in that order. Dahua edges out Hikvision because they are easier to find and order, not because they are better cameras. I personally use Dahua cameras because they are easier to purchase directly. In my experience Dahua and Hikvision both have multiple streams with configurable resolutions and frame rates and rock solid streams. They also both have models with large sensors well known for excellent image quality at night. Not all the models are equal. Larger sensors are better than higher resolutions; especially at night. Amcrest is the fallback recommendation because they are rebranded Dahuas. They are rebranding the lower end models with smaller sensors or less configuration options.
 Many users have reported various issues with Reolink cameras, so I do not recommend them. If you are using Reolink, I suggest the [Reolink specific configuration](../configuration/camera_specific.md#reolink-410520-possibly-others). Wifi cameras are also not recommended. Their streams are less reliable and cause connection loss and/or lost video data.
 Here are some of the camera's I recommend:
 - <a href="https://amzn.to/3uFLtxB" target="_blank" rel="nofollow noopener sponsored">Loryta(Dahua) T5442TM-AS-LED</a> (affiliate link)
 - <a href="https://amzn.to/3isJ3gU" target="_blank" rel="nofollow noopener sponsored">Loryta(Dahua) IPC-T5442TM-AS</a> (affiliate link)
 - <a href="https://amzn.to/2ZWNWIA" target="_blank" rel="nofollow noopener sponsored">Amcrest IP5M-T1179EW-28MM</a> (affiliate link)
 I may earn a small commission for my endorsement, recommendation, testimonial, or link to any products or services from this website.
 ## Server
 My current favorite is the Minisforum GK41 because of the dual NICs that allow you to setup a dedicated private network for your cameras where they can be blocked from accessing the internet. There are many used workstation options on eBay that work very well. Anything with an Intel CPU and capable of running Debian should work fine. As a bonus, you may want to look for devices with a M.2 or PCIe express slot that is compatible with the Google Coral. I may earn a small commission for my endorsement, recommendation, testimonial, or link to any products or services from this website.
 | Name                                                                                                                                                                                                                                                                                                              | Coral Inference Speed | Coral Compatibility | Notes                                                                                                                             |
 | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------- |
 | Odyssey X86 Blue J4125 (<a href="https://amzn.to/3oH4BKi" target="_blank" rel="nofollow noopener sponsored">Amazon</a>) (<a href="https://www.seeedstudio.com/Frigate-NVR-with-Odyssey-Blue-and-Coral-USB-Accelerator.html?utm_source=Frigate" target="_blank" rel="nofollow noopener sponsored">SeeedStudio</a>) | 9-10ms          | M.2 B+M, USB        | Dual gigabit NICs for easy isolated camera network. Easily handles several 1080p cameras.                                               |
 | Minisforum GK41 (<a href="https://amzn.to/3ptnb8D" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                                  | 9-10ms          | USB                 | Dual gigabit NICs for easy isolated camera network. Easily handles several 1080p cameras.                                               |
 | Beelink GK55 (<a href="https://amzn.to/35E79BC" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                                     | 9-10ms          | USB                 | Dual gigabit NICs for easy isolated camera network. Easily handles several 1080p cameras.                                               |
 | Intel NUC (<a href="https://amzn.to/3psFlHi" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                                        | 8-10ms          | USB                 | Overkill for most, but great performance. Can handle many cameras at 5fps depending on typical amounts of motion. Requires extra parts. |
 | BMAX B2 Plus (<a href="https://amzn.to/3a6TBh8" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                                     | 10-12ms         | USB                 | Good balance of performance and cost. Also capable of running many other services at the same time as Frigate.                          |
 | Atomic Pi (<a href="https://amzn.to/2YjpY9m" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                                        | 16ms            | USB                 | Good option for a dedicated low power board with a small number of cameras. Can leverage Intel QuickSync for stream decoding.           |
 | Raspberry Pi 4 (64bit) (<a href="https://amzn.to/2YhSGHH" target="_blank" rel="nofollow noopener sponsored">Amazon</a>)                                                                                                                                                                                           | 10-15ms         | USB                 | Can handle a small number of cameras.                                                                                                   |
 ## Detectors
 A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the epectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance.
 ### Google Coral TPU
 It is strongly recommended to use a Google Coral. A $60 device will outperform $2000 CPU. Frigate should work with any supported Coral device from https://coral.ai
 The USB version is compatible with the widest variety of hardware and does not require a driver on the host machine. However, it does lack the automatic throttling features of the other versions.
 The PCIe and M.2 versions require installation of a driver on the host. Follow the instructions for your version from https://coral.ai
 A single Coral can handle many cameras and will be sufficient for the majority of users. You can calculate the maximum performance of your Coral based on the inference speed reported by Frigate. With an inference speed of 10, your Coral will top out at `1000/10=100`, or 100 frames per second. If your detection fps is regularly getting close to that, you should first consider tuning motion masks. If those are already properly configured, a second Coral may be needed.
 ### OpenVino
 The OpenVINO detector type is able to run on:
 - 6th Gen Intel Platforms and newer that have an iGPU
 - x86 & Arm32/64 hosts with VPU Hardware (ex: Intel NCS2)
 More information is available [in the detector docs](/configuration/detectors#openvino-detector)
 Inference speeds vary greatly depending on the CPU, GPU, or VPU used, some known examples are below:
 | Name                | Inference Speed | Notes                                                                 |
 | ------------------- | --------------- | --------------------------------------------------------------------- |
 | Intel Celeron J4105 | ~ 25 ms         | Inference speeds on CPU were ~ 150 ms                                 |
 | Intel Celeron N4020 | 50 - 200 ms     | Inference speeds on CPU were ~ 800 ms, greatly depends on other loads |
 | Intel NCS2 VPU      | 60 - 65 ms      | May vary based on host device                                         |
 | Intel i5 1135G7     | 10 - 15 ms      |                                                                       |
 ### TensorRT
 The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which supports the 11.x series of CUDA libraries. The minimum driver version on the host system must be `>=450.80.02`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the [TensorRT docs for more info](/configuration/detectors#nvidia-tensorrt-detector).
 Inference speeds will vary greatly depending on the GPU and the model used.
 `tiny` variants are faster than the equivalent non-tiny model, some known examples are below:
 | Name     | Model           | Inference Speed |
 | -------- | --------------- | --------------- |
 | RTX 3050 | yolov4-tiny-416 | ~ 5 ms          |
 | RTX 3050 | yolov7-tiny-416 | ~ 6 ms          |
 ## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
 This is taken from a [user question on reddit](https://www.reddit.com/r/homeassistant/comments/q8mgau/comment/hgqbxh5/?utm_source=share&utm_medium=web2x&context=3). Modified slightly for clarity.
 CPU Usage: I am a CPU, Mendel is a Google Coral
 My buddy Mendel and I have been tasked with keeping the neighbor's red footed booby off my parent's yard. Now I'm really bad at identifying birds. It takes me forever, but my buddy Mendel is incredible at it.
 Mendel however, struggles at pretty much anything else. So we make an agreement. I wait till I see something that moves, and snap a picture of it for Mendel. I then show him the picture and he tells me what it is. Most of the time it isn't anything. But eventually I see some movement and Mendel tells me it is the Booby. Score!
 _What happens when I increase the resolution of my camera?_
 However we realize that there is a problem. There is still booby poop all over the yard. How could we miss that! I've been watching all day! My parents check the window and realize its dirty and a bit small to see the entire yard so they clean it and put a bigger one in there. Now there is so much more to see! However I now have a much bigger area to scan for movement and have to work a lot harder! Even my buddy Mendel has to work harder, as now the pictures have a lot more detail in them that he has to look at to see if it is our sneaky booby.
 Basically - When you increase the resolution and/or the frame rate of the stream there is now significantly more data for the CPU to parse. That takes additional computing power. The Google Coral is really good at doing object detection, but it doesn't have time to look everywhere all the time (especially when there are many windows to check). To balance it, Frigate uses the CPU to look for movement, then sends those frames to the Coral to do object detection. This allows the Coral to be available to a large number of cameras and not overload it.
 ## Do hwaccel args help if I am using a Coral?
 YES! The Coral does not help with decoding video streams.
 Decompressing video streams takes a significant amount of CPU power. Video compression uses key frames (also known as I-frames) to send a full frame in the video stream. The following frames only include the difference from the key frame, and the CPU has to compile each frame by merging the differences with the key frame. [More detailed explanation](https://blog.video.ibm.com/streaming-video-tips/keyframes-interframe-video-compression/). Higher resolutions and frame rates mean more processing power is needed to decode the video stream, so try and set them on the camera to avoid unnecessary decoding work.
--- a/docs/docs/frigate/index.md
+++ b/docs/docs/frigate/index.md
@@ -1,13 +1,12 @@
 ---
 id: index
-title: Frigate
+title: Introduction
 sidebar_label: Features
 slug: /
 ---
 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
-Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
+Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but strongly recommended. CPU detection should only be used for testing purposes. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
 - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
 - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
@@ -15,11 +14,12 @@ Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but
 - Uses a very low overhead motion detection to determine where to run object detection
 - Object detection with TensorFlow runs in separate processes for maximum FPS
 - Communicates over MQTT for easy integration into other systems
- 24/7 recording
+- Recording with retention based on detected objects
- Re-streaming via RTMP to reduce the number of connections to your camera
+- Re-streaming via RTSP to reduce the number of connections to your camera
 - A dynamic combined camera view of all tracked cameras.
 ## Screenshots
-![Media Browser](/img/media_browser.png)
+![Media Browser](/img/media_browser-min.png)
-![Notification](/img/notification.png)
+![Notification](/img/notification-min.png)
--- a/docs/docs/frigate/installation.md
+++ b/docs/docs/frigate/installation.md
@@ -0,0 +1,217 @@
 ---
 id: installation
 title: Installation
 ---
 Frigate is a Docker container that can be run on any Docker host including as a [HassOS Addon](https://www.home-assistant.io/addons/). Note that a Home Assistant Addon is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant.
 ## Dependencies
 **MQTT broker (optional)** - An MQTT broker is optional with Frigate, but is required for the Home Assistant integration. If using Home Assistant, Frigate and Home Assistant must be connected to the same MQTT broker.
 ## Preparing your hardware
 ### Operating System
 Frigate runs best with docker installed on bare metal debian-based distributions. For ideal performance, Frigate needs access to underlying hardware for the Coral and GPU devices. Running Frigate in a VM on top of Proxmox, ESXi, Virtualbox, etc. is not recommended. The virtualization layer often introduces a sizable amount of overhead for communication with Coral devices, but [not in all circumstances](https://github.com/blakeblackshear/frigate/discussions/1837).
 Windows is not officially supported, but some users have had success getting it to run under WSL or Virtualbox. Getting the GPU and/or Coral devices properly passed to Frigate may be difficult or impossible. Search previous discussions or issues for help.
 ### Storage
 Frigate uses the following locations for read/write operations in the container. Docker volume mappings can be used to map these to any location on your host machine.
 - `/media/frigate/clips`: Used for snapshot storage. In the future, it will likely be renamed from `clips` to `snapshots`. The file structure here cannot be modified and isn't intended to be browsed or managed manually.
 - `/media/frigate/recordings`: Internal system storage for recording segments. The file structure here cannot be modified and isn't intended to be browsed or managed manually.
 - `/media/frigate/frigate.db`: Default location for the sqlite database. You will also see several files alongside this file while Frigate is running. If moving the database location (often needed when using a network drive at `/media/frigate`), it is recommended to mount a volume with docker at `/db` and change the storage location of the database to `/db/frigate.db` in the config file.
 - `/tmp/cache`: Cache location for recording segments. Initial recordings are written here before being checked and converted to mp4 and moved to the recordings folder.
 - `/dev/shm`: It is not recommended to modify this directory or map it with docker. This is the location for raw decoded frames in shared memory and it's size is impacted by the `shm-size` calculations below.
 - `/config/config.yml`: Default location of the config file.
 #### Common docker compose storage configurations
 Writing to a local disk or external USB drive:
 ```yaml
 version: "3.9"
 services:
  frigate:
    ...
    volumes:
      - /path/to/your/config.yml:/config/config.yml
      - /path/to/your/storage:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ...
 ```
 Writing to a network drive with database on a local drive:
 ```yaml
 version: "3.9"
 services:
  frigate:
    ...
    volumes:
      - /path/to/your/config.yml:/config/config.yml
      - /path/to/network/storage:/media/frigate
      - /path/to/local/disk:/db
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ...
 ```
 frigate.yml
 ```yaml
 database:
  path: /db/frigate.db
 ```
 ### Calculating required shm-size
 Frigate utilizes shared memory to store frames during processing. The default `shm-size` provided by Docker is 64m.
 The default shm-size of 64m is fine for setups with 2 or less 1080p cameras. If Frigate is exiting with "Bus error" messages, it is likely because you have too many high resolution cameras and you need to specify a higher shm size.
 You can calculate the necessary shm-size for each camera with the following formula using the resolution specified for detect:
 ```
 (width * height * 1.5 * 9 + 270480)/1048576 = <shm size in mb>
 ```
 The shm size cannot be set per container for Home Assistant Addons. You must set `default-shm-size` in `/etc/docker/daemon.json` to increase the default shm size. This will increase the shm size for all of your docker containers. This may or may not cause issues with your setup. https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file
 ### Raspberry Pi 3/4
 By default, the Raspberry Pi limits the amount of memory available to the GPU. In order to use ffmpeg hardware acceleration, you must increase the available memory by setting `gpu_mem` to the maximum recommended value in `config.txt` as described in the [official docs](https://www.raspberrypi.org/documentation/computers/config_txt.html#memory-options).
 Additionally, the USB Coral draws a considerable amount of power. If using any other USB devices such as an SSD, you will experience instability due to the Pi not providing enough power to USB devices. You will need to purchase an external USB hub with it's own power supply. Some have reported success with <a href="https://amzn.to/3a2mH0P" target="_blank" rel="nofollow noopener sponsored">this</a> (affiliate link).
 ## Docker
 Running in Docker with compose is the recommended install method:
 ```yaml
 version: "3.9"
 services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: ghcr.io/blakeblackshear/frigate:stable
    shm_size: "64mb" # update for your cameras based on calculation above
    devices:
      - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
      - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
      - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /path/to/your/config.yml:/config/config.yml
      - /path/to/your/storage:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - "5000:5000"
      - "8554:8554" # RTSP feeds
      - "8555:8555/tcp" # WebRTC over tcp
      - "8555:8555/udp" # WebRTC over udp
    environment:
      FRIGATE_RTSP_PASSWORD: "password"
 ```
 If you can't use docker compose, you can run the container with something similar to this:
 ```bash
 docker run -d \
  --name frigate \
  --restart=unless-stopped \
  --mount type=tmpfs,target=/tmp/cache,tmpfs-size=1000000000 \
  --device /dev/bus/usb:/dev/bus/usb \
  --device /dev/dri/renderD128 \
  --shm-size=64m \
  -v /path/to/your/storage:/media/frigate \
  -v /path/to/your/config.yml:/config/config.yml \
  -v /etc/localtime:/etc/localtime:ro \
  -e FRIGATE_RTSP_PASSWORD='password' \
  -p 5000:5000 \
  -p 8554:8554 \
  -p 8555:8555/tcp \
  -p 8555:8555/udp \
  ghcr.io/blakeblackshear/frigate:stable
 ```
 ## Home Assistant Operating System (HassOS)
 :::caution
 Due to limitations in Home Assistant Operating System, utilizing external storage for recordings or snapshots requires [modifying udev rules manually](https://community.home-assistant.io/t/solved-mount-usb-drive-in-hassio-to-be-used-on-the-media-folder-with-udev-customization/258406/46).
 :::
 :::tip
 If possible, it is recommended to run Frigate standalone in Docker and use [Frigate's Proxy Addon](https://github.com/blakeblackshear/frigate-hass-addons/blob/main/frigate_proxy/README.md).
 :::
 HassOS users can install via the addon repository.
 1. Navigate to Supervisor > Add-on Store > Repositories
 2. Add https://github.com/blakeblackshear/frigate-hass-addons
 3. Install your desired Frigate NVR Addon and navigate to it's page
 4. Setup your network configuration in the `Configuration` tab
 5. (not for proxy addon) Create the file `frigate.yml` in your `config` directory with your detailed Frigate configuration
 6. Start the addon container
 7. (not for proxy addon) If you are using hardware acceleration for ffmpeg, you may need to disable "Protection mode"
 There are several versions of the addon available:
 | Addon Version                  | Description                                                |
 | ------------------------------ | ---------------------------------------------------------- |
 | Frigate NVR                    | Current release with protection mode on                    |
 | Frigate NVR (Full Access)      | Current release with the option to disable protection mode |
 | Frigate NVR Beta               | Beta release with protection mode on                       |
 | Frigate NVR Beta (Full Access) | Beta release with the option to disable protection mode    |
 ## Home Assistant Supervised
 :::tip
 If possible, it is recommended to run Frigate standalone in Docker and use [Frigate's Proxy Addon](https://github.com/blakeblackshear/frigate-hass-addons/blob/main/frigate_proxy/README.md).
 :::
 When running Home Assistant with the [Supervised install method](https://github.com/home-assistant/supervised-installer), you can get the benefit of running the Addon along with the ability to customize the storage used by Frigate.
 In order to customize the storage location for Frigate, simply use `fstab` to mount the drive you want at `/usr/share/hassio/media`. Here is an example fstab entry:
 ```shell
 UUID=1a65fec6-c25f-404a-b3d2-1f2fcf6095c8 /media/data ext4 defaults 0 0
 /media/data/homeassistant/media /usr/share/hassio/media none bind 0 0
 ```
 Then follow the instructions listed for [Home Assistant Operating System](#home-assistant-operating-system-hassos).
 ## Kubernetes
 Use the [helm chart](https://github.com/blakeblackshear/blakeshome-charts/tree/master/charts/frigate).
 ## Unraid
 Many people have powerful enough NAS devices or home servers to also run docker. There is a Unraid Community App.
 To install make sure you have the [community app plugin here](https://forums.unraid.net/topic/38582-plug-in-community-applications/). Then search for "Frigate" in the apps section within Unraid - you can see the online store [here](https://unraid.net/community/apps?q=frigate#r)
 ## Proxmox
 It is recommended to run Frigate in LXC for maximum performance. See [this discussion](https://github.com/blakeblackshear/frigate/discussions/1111) for more information.
 ## ESX
 For details on running Frigate under ESX, see details [here](https://github.com/blakeblackshear/frigate/issues/305).
--- a/docs/docs/guides/camera_setup.md
+++ b/docs/docs/guides/camera_setup.md
@@ -0,0 +1,39 @@
 ---
 id: camera_setup
 title: Camera setup
 ---
 Cameras configured to output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. H.265 has better compression, but far less compatibility. Safari and Edge are the only browsers able to play H.265. Ideally, cameras should be configured directly for the desired resolutions and frame rates you want to use in Frigate. Reducing frame rates within Frigate will waste CPU resources decoding extra frames that are discarded. There are three different goals that you want to tune your stream configurations around.
 - **Detection**: This is the only stream that Frigate will decode for processing. Also, this is the stream where snapshots will be generated from. The resolution for detection should be tuned for the size of the objects you want to detect. See [Choosing a detect resolution](#choosing-a-detect-resolution) for more details. The recommended frame rate is 5fps, but may need to be higher for very fast moving objects. Higher resolutions and frame rates will drive higher CPU usage on your server.
 - **Recording**: This stream should be the resolution you wish to store for reference. Typically, this will be the highest resolution your camera supports. I recommend setting this feed to 15 fps.
 - **Stream Viewing**: This stream will be rebroadcast as is to Home Assistant for viewing with the stream component. Setting this resolution too high will use significant bandwidth when viewing streams in Home Assistant, and they may not load reliably over slower connections.
 ### Choosing a detect resolution
 The ideal resolution for detection is one where the objects you want to detect fit inside the dimensions of the model used by Frigate (320x320). Frigate does not pass the entire camera frame to object detection. It will crop an area of motion from the full frame and look in that portion of the frame. If the area being inspected is larger than 320x320, Frigate must resize it before running object detection. Higher resolutions do not improve the detection accuracy because the additional detail is lost in the resize. Below you can see a reference for how large a 320x320 area is against common resolutions.
 Larger resolutions **do** improve performance if the objects are very small in the frame.
 ![Resolutions](/img/resolutions-min.jpg)
 ### Example Camera Configuration
 For the Dahua/Loryta 5442 camera, I use the following settings:
 **Main Stream (Recording & RTSP)**
 - Encode Mode: H.264
 - Resolution: 2688\*1520
 - Frame Rate(FPS): 15
 - I Frame Interval: 30
 **Sub Stream (Detection)**
 - Enable: Sub Stream 2
 - Encode Mode: H.264
 - Resolution: 1280\*720
 - Frame Rate: 5
 - I Frame Interval: 5
--- a/docs/docs/guides/events_setup.md
+++ b/docs/docs/guides/events_setup.md
@@ -0,0 +1,10 @@
 ---
 id: events_setup
 title: Setting Up Events
 ---
 [Snapshots](../configuration/snapshots.md) and/or [Recordings](../configuration/record.md) must be enabled for events to be created for detected objects.
 ## Limiting Events to Areas of Interest
 The best way to limit events to areas of interest is to use [zones](../configuration/zones.md) along with `required_zones` for events and snapshots to only have events created in areas of interest.
--- a/docs/docs/configuration/false_positives.md
+++ b/docs/docs/configuration/false_positives.md
@@ -3,7 +3,11 @@ id: false_positives
 title: Reducing false positives
 ---
-Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_score`, `threshold`.
+Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_ratio`, `max_ratio`, `min_score`, `threshold`.
 The `min_area` and `max_area` values are compared against the area (number of pixels) from a given detected object. If the area is outside this range, the object will be ignored as a false positive. This allows objects that must be too small or too large to be ignored.
 Similarly, the `min_ratio` and `max_ratio` values are compared against a given detected object's width/height ratio (in pixels). If the ratio is outside this range, the object will be ignored as a false positive. This allows objects that are proportionally too short-and-wide (higher ratio) or too tall-and-narrow (smaller ratio) to be ignored.
 For object filters in your configuration, any single detection below `min_score` will be ignored as a false positive. `threshold` is based on the median of the history of scores (padded to 3 values) for a tracked object. Consider the following frames when `min_score` is set to 0.6 and threshold is set to 0.85:
@@ -16,4 +20,4 @@ For object filters in your configuration, any single detection below `min_score`
 | 5     | 0.88          | 0.7, 0.85, 0.95, 0.90, 0.88       | 0.88           | Yes             |
 | 6     | 0.95          | 0.7, 0.85, 0.95, 0.90, 0.88, 0.95 | 0.89           | Yes             |
-In frame 2, the score is below the `min_score` value, so frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.
+In frame 2, the score is below the `min_score` value, so Frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.
--- a/docs/docs/guides/getting_started.md
+++ b/docs/docs/guides/getting_started.md
@@ -0,0 +1,203 @@
 ---
 id: getting_started
 title: Creating a config file
 ---
 This guide walks through the steps to build a configuration file for Frigate. It assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/guides/camera_setup)
 ### Step 1: Configure the MQTT server (Optional)
 Use of a functioning MQTT server is optional for Frigate, but required for the home assistant integration. Start by adding the mqtt section at the top level in your config:
 If using mqtt:
 ```yaml
 mqtt:
  host: <ip of your mqtt server>
 ```
 If not using mqtt:
 ```yaml
 mqtt:
  enabled: False
 ```
 If using the Mosquitto Addon in Home Assistant, a username and password is required. For example:
 ```yaml
 mqtt:
  host: <ip of your mqtt server>
  user: <username>
  password: <password>
 ```
 Frigate supports many configuration options for mqtt. See the [configuration reference](../configuration/index.md#full-configuration-reference) for more info.
 ### Step 2: Configure detectors
 By default, Frigate will use a single CPU detector. If you have a USB Coral, you will need to add a detectors section to your config.
 ```yaml
 mqtt:
  host: <ip of your mqtt server>
 detectors:
  coral:
    type: edgetpu
    device: usb
 ```
 More details on available detectors can be found [here](../configuration/detectors.md).
 ### Step 3: Add a minimal camera configuration
 Now let's add the first camera:
 ```yaml
 mqtt:
  host: <ip of your mqtt server>
 detectors:
  coral:
    type: edgetpu
    device: usb
 cameras:
  camera_1: # <------ Name the camera
    ffmpeg:
      inputs:
        - path: rtsp://10.0.10.10:554/rtsp # <----- Update for your camera
          roles:
            - detect
    detect:
      width: 1280 # <---- update for your camera's resolution
      height: 720 # <---- update for your camera's resolution
 ```
 ### Step 4: Start Frigate
 At this point you should be able to start Frigate and see the the video feed in the UI.
 If you get an error image from the camera, this means ffmpeg was not able to get the video feed from your camera. Check the logs for error messages from ffmpeg. The default ffmpeg arguments are designed to work with H264 RTSP cameras that support TCP connections.
 FFmpeg arguments for other types of cameras can be found [here](../configuration/camera_specific.md).
 ### Step 5: Configure hardware acceleration (optional)
 Now that you have a working camera configuration, you want to setup hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration.md) config reference for examples applicable to your hardware.
 In order to best evaluate the performance impact of hardware acceleration, it is recommended to temporarily disable detection.
 ```yaml
 mqtt: ...
 detectors: ...
 cameras:
  camera_1:
    ffmpeg: ...
    detect:
      enabled: False
      ...
 ```
 Here is an example configuration with hardware acceleration configured:
 ```yaml
 mqtt: ...
 detectors: ...
 cameras:
  camera_1:
    ffmpeg:
      inputs: ...
      hwaccel_args: -c:v h264_v4l2m2m
    detect: ...
 ```
 ### Step 6: Setup motion masks
 Now that you have optimized your configuration for decoding the video stream, you will want to check to see where to implement motion masks. To do this, navigate to the camera in the UI, select "Debug" at the top, and enable "Motion boxes" in the options below the video feed. Watch for areas that continuously trigger unwanted motion to be detected. Common areas to mask include camera timestamps and trees that frequently blow in the wind. The goal is to avoid wasting object detection cycles looking at these areas.
 Now that you know where you need to mask, use the "Mask & Zone creator" in the options pane to generate the coordinates needed for your config file. More information about masks can be found [here](../configuration/masks.md).
 :::caution
 Note that motion masks should not be used to mark out areas where you do not want objects to be detected or to reduce false positives. They do not alter the image sent to object detection, so you can still get events and detections in areas with motion masks. These only prevent motion in these areas from initiating object detection.
 :::
 Your configuration should look similar to this now.
 ```yaml
 mqtt:
  host: mqtt.local
 detectors:
  coral:
    type: edgetpu
    device: usb
 cameras:
  camera_1:
    ffmpeg:
      inputs:
        - path: rtsp://10.0.10.10:554/rtsp
          roles:
            - detect
    detect:
      width: 1280
      height: 720
    motion:
      mask:
        - 0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432
 ```
 ### Step 7: Enable recording (optional)
 To enable recording video, add the `record` role to a stream and enable it in the config.
 ```yaml
 mqtt: ...
 detectors: ...
 cameras:
  camera_1:
    ffmpeg:
      inputs:
        - path: rtsp://10.0.10.10:554/rtsp
          roles:
            - detect
        - path: rtsp://10.0.10.10:554/high_res_stream # <----- Add high res stream
          roles:
            - record
    detect: ...
    record: # <----- Enable recording
      enabled: True
    motion: ...
 ```
 If you don't have separate streams for detect and record, you would just add the record role to the list on the first input.
 By default, Frigate will retain video of all events for 10 days. The full set of options for recording can be found [here](../configuration/index.md#full-configuration-reference).
 ### Step 8: Enable snapshots (optional)
 To enable snapshots of your events, just enable it in the config.
 ```yaml
 mqtt: ...
 detectors: ...
 cameras:
  camera_1: ...
    detect: ...
    record: ...
    snapshots: # <----- Enable snapshots
      enabled: True
    motion: ...
 ```
 By default, Frigate will retain snapshots of all events for 10 days. The full set of options for snapshots can be found [here](../configuration/index.md#full-configuration-reference).
--- a/docs/docs/guides/ha_notifications.md
+++ b/docs/docs/guides/ha_notifications.md
@@ -0,0 +1,80 @@
 ---
 id: ha_notifications
 title: Home Assistant notifications
 ---
 The best way to get started with notifications for Frigate is to use the [Blueprint](https://community.home-assistant.io/t/frigate-mobile-app-notifications/311091). You can use the yaml generated from the Blueprint as a starting point and customize from there.
 It is generally recommended to trigger notifications based on the `frigate/events` mqtt topic. This provides the event_id needed to fetch [thumbnails/snapshots/clips](../integrations/home-assistant.md#notification-api) and other useful information to customize when and where you want to receive alerts. The data is published in the form of a change feed, which means you can reference the "previous state" of the object in the `before` section and the "current state" of the object in the `after` section. You can see an example [here](../integrations/mqtt.md#frigateevents).
 Here is a simple example of a notification automation of events which will update the existing notification for each change. This means the image you see in the notification will update as Frigate finds a "better" image.
 ```yaml
 automation:
  - alias: Notify of events
    trigger:
      platform: mqtt
      topic: frigate/events
    action:
      - service: notify.mobile_app_pixel_3
        data_template:
          message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
          data:
            image: 'https://your.public.hass.address.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg?format=android'
            tag: '{{trigger.payload_json["after"]["id"]}}'
            when: '{{trigger.payload_json["after"]["start_time"]|int}}'
 ```
 Note that iOS devices support live previews of cameras by adding a camera entity id to the message data.
 ```yaml
 automation:
  - alias: Security_Frigate_Notifications
    description: ""
    trigger:
      - platform: mqtt
        topic: frigate/events
        payload: new
        value_template: "{{ value_json.type }}"
    action:
      - service: notify.mobile_app_iphone
        data:
          message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
          data:
            image: >-
              https://your.public.hass.address.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg
            tag: '{{trigger.payload_json["after"]["id"]}}'
            when: '{{trigger.payload_json["after"]["start_time"]|int}}'
            entity_id: camera.{{trigger.payload_json["after"]["camera"]}}
    mode: single
 ```
 ## Conditions
 Conditions with the `before` and `after` values allow a high degree of customization for automations.
 When a person enters a zone named yard
 ```yaml
 condition:
  - "{{ trigger.payload_json['after']['label'] == 'person' }}"
  - "{{ 'yard' in trigger.payload_json['after']['entered_zones'] }}"
 ```
 When a person leaves a zone named yard
 ```yaml
 condition:
  - "{{ trigger.payload_json['after']['label'] == 'person' }}"
  - "{{ 'yard' in trigger.payload_json['before']['current_zones'] }}"
  - "{{ not 'yard' in trigger.payload_json['after']['current_zones'] }}"
 ```
 Notify for dogs in the front with a high top score
 ```yaml
 condition:
  - "{{ trigger.payload_json['after']['label'] == 'dog' }}"
  - "{{ trigger.payload_json['after']['camera'] == 'front' }}"
  - "{{ trigger.payload_json['after']['top_score'] > 0.98 }}"
 ```
--- a/docs/docs/guides/reverse_proxy.md
+++ b/docs/docs/guides/reverse_proxy.md
@@ -0,0 +1,84 @@
 ---
 id: reverse_proxy
 title: Setting up a Reverse Proxy
 ---
 This guide outlines the basic configuration steps needed to expose your Frigate UI to the internet.
 A common way of accomplishing this is to use a reverse proxy webserver between your router and your Frigate instance.
 A reverse proxy accepts HTTP requests from the public internet and redirects them transparently to internal webserver(s) on your network.
 The suggested steps are:
 - **Configure** a 'proxy' HTTP webserver (such as [Apache2](https://httpd.apache.org/docs/current/) or [NPM](https://github.com/NginxProxyManager/nginx-proxy-manager)) and only expose ports 80/443 from this webserver to the internet
 - **Encrypt** content from the proxy webserver by installing SSL (such as with [Let's Encrypt](https://letsencrypt.org/)). Note that SSL is then not required on your Frigate webserver as the proxy encrypts all requests for you
 - **Restrict** access to your Frigate instance at the proxy using, for example, password authentication
 :::caution
 A reverse proxy can be used to secure access to an internal webserver but the user will be entirely reliant
 on the steps they have taken. You must ensure you are following security best practices.
 This page does not attempt to outline the specific steps needed to secure your internal website.
 Please use your own knowledge to assess and vet the reverse proxy software before you install anything on your system.
 :::
 There are several technologies available to implement reverse proxies. This document currently suggests one, using Apache2,
 and the community is invited to document others through a contribution to this page.
 ## Apache2 Reverse Proxy
 In the configuration examples below, only the directives relevant to the reverse proxy approach above are included.
 On Debian Apache2 the configuration file will be named along the lines of `/etc/apache2/sites-available/cctv.conf`
 ### Step 1: Configure the Apache2 Reverse Proxy
 Make life easier for yourself by presenting your Frigate interface as a DNS sub-domain rather than as a sub-folder of your main domain.
 Here we access Frigate via https://cctv.mydomain.co.uk
 ```xml
 <VirtualHost *:443>
    ServerName cctv.mydomain.co.uk
    ProxyPreserveHost On
    ProxyPass "/"  "http://frigatepi.local:5000/"
    ProxyPassReverse "/"  "http://frigatepi.local:5000/"
    ProxyPass /ws ws://frigatepi.local:5000/ws
    ProxyPassReverse /ws ws://frigatepi.local:5000/ws
    ProxyPass /live/ ws://frigatepi.local:5000/live/
    ProxyPassReverse /live/ ws://frigatepi.local:5000/live/
    RewriteEngine on
    RewriteCond %{HTTP:Upgrade} =websocket [NC]
    RewriteRule /(.*)  ws://frigatepi.local:5000/$1 [P,L]
    RewriteCond %{HTTP:Upgrade} !=websocket [NC]
    RewriteRule /(.*)  http://frigatepi.local:5000/$1 [P,L]
 </VirtualHost>
 ```
 ### Step 2: Use SSL to encrypt access to your Frigate instance
 Whilst this won't, on its own, prevent access to your Frigate webserver it will encrypt all content (such as login credentials).
 Installing SSL is beyond the scope of this document but [Let's Encrypt](https://letsencrypt.org/) is a widely used approach.
 This Apache2 configuration snippet then results in unencrypted requests being redirected to the webserver SSL port
 ```xml
 <VirtualHost *:80>
 ServerName cctv.mydomain.co.uk
 RewriteEngine on
 RewriteCond %{SERVER_NAME} =cctv.mydomain.co.uk
 RewriteRule ^ https://%{SERVER_NAME}%{REQUEST_URI} [END,NE,R=permanent]
 </VirtualHost>
 ```
 ### Step 3: Authenticate users at the proxy
 There are many ways to authenticate a website but a straightforward approach is to use [Apache2 password files](https://httpd.apache.org/docs/2.4/howto/auth.html).
 ```xml
 <VirtualHost *:443>
    <Location />
        AuthType Basic
        AuthName "Restricted Files"
        AuthUserFile "/var/www/passwords"
        Require user paul
    </Location>
 </VirtualHost>
 ```
--- a/docs/docs/guides/stationary_objects.md
+++ b/docs/docs/guides/stationary_objects.md
@@ -0,0 +1,37 @@
 ---
 id: stationary_objects
 title: Avoiding stationary objects
 ---
 Many people use Frigate to detect cars entering their driveway, and they often run into an issue with repeated events of a parked car being repeatedly detected over the course of multiple days (for example if the car is lost at night and detected again the following morning.
 You can use zones to restrict events and notifications to objects that have entered specific areas.
 :::caution
 It is not recommended to use masks to try and eliminate parked cars in your driveway. Masks are designed to prevent motion from triggering object detection and/or to indicate areas that are guaranteed false positives.
 Frigate is designed to track objects as they move and over-masking can prevent it from knowing that an object in the current frame is the same as the previous frame. You want Frigate to detect objects everywhere and configure your events and alerts to be based on the location of the object with zones.
 :::
 To only be notified of cars that enter your driveway from the street, you could create multiple zones that cover your driveway. For cars, you would only notify if `entered_zones` from the events MQTT topic has more than 1 zone.
 See [this example](../configuration/zones.md#restricting-zones-to-specific-objects) from the Zones documentation to see how to restrict zones to certain object types.
 ![Driveway Zones](/img/driveway_zones-min.png)
 To limit snapshots and events, you can list the zone for the entrance of your driveway under `required_zones` in your configuration file. Example below.
 ```yaml
 camera:
  record:
    events:
      required_zones:
        - zone_2
  zones:
    zone_1:
      coordinates: ... (parking area)
    zone_2:
      coordinates: ... (entrance to driveway)
 ```
--- a/docs/docs/hardware.md
+++ b/docs/docs/hardware.md
@@ -1,29 +0,0 @@
 ---
 id: hardware
 title: Recommended hardware
 ---
 ## Cameras
 Cameras that output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. It is also helpful if your camera supports multiple substreams to allow different resolutions to be used for detection, streaming, and recordings without re-encoding.
 ## Computer
 | Name                    | Inference Speed | Notes                                                                                                                         |
 | ----------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------- |
 | Atomic Pi               | 16ms            | Good option for a dedicated low power board with a small number of cameras. Can leverage Intel QuickSync for stream decoding. |
 | Intel NUC NUC7i3BNK     | 8-10ms          | Great performance. Can handle many cameras at 5fps depending on typical amounts of motion.                                    |
 | BMAX B2 Plus            | 10-12ms         | Good balance of performance and cost. Also capable of running many other services at the same time as frigate.                |
 | Minisforum GK41         | 9-10ms          | Great alternative to a NUC with dual Gigabit NICs. Easily handles several 1080p cameras.                                      |
 | Raspberry Pi 3B (32bit) | 60ms            | Can handle a small number of cameras, but the detection speeds are slow due to USB 2.0.                                       |
 | Raspberry Pi 4 (32bit)  | 15-20ms         | Can handle a small number of cameras. The 2GB version runs fine.                                                              |
 | Raspberry Pi 4 (64bit)  | 10-15ms         | Can handle a small number of cameras. The 2GB version runs fine.                                                              |
 ## Unraid
 Many people have powerful enough NAS devices or home servers to also run docker. There is a Unraid Community App.
 To install make sure you have the [community app plugin here](https://forums.unraid.net/topic/38582-plug-in-community-applications/). Then search for "Frigate" in the apps section within Unraid - you can see the online store [here](https://unraid.net/community/apps?q=frigate#r)
 | Name                                 | Inference Speed | Notes                                                                                                                                                                       |
 | ------------------------------------ | --------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | [M2 Coral Edge TPU](http://coral.ai) | 6.2ms           | Install the Coral plugin from Unraid Community App Center [info here](https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/?do=findComment&comment=949789) |
--- a/docs/docs/how-it-works.md
+++ b/docs/docs/how-it-works.md
@@ -1,13 +0,0 @@
 ---
 id: how-it-works
 title: How Frigate Works
 sidebar_label: How it works
 ---
 Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary
 ![Diagram](/img/diagram.png)
 1. Look for Motion
 2. Calculate Detection Regions
 3. Run Object Detection
--- a/docs/docs/installation.md
+++ b/docs/docs/installation.md
@@ -1,124 +0,0 @@
 ---
 id: installation
 title: Installation
 ---
 Frigate is a Docker container that can be run on any Docker host including as a [HassOS Addon](https://www.home-assistant.io/addons/). See instructions below for installing the HassOS addon.
 For Home Assistant users, there is also a [custom component (aka integration)](https://github.com/blakeblackshear/frigate-hass-integration). This custom component adds tighter integration with Home Assistant by automatically setting up camera entities, sensors, media browser for recordings, and a public API to simplify notifications.
 Note that HassOS Addons and custom components are different things. If you are already running Frigate with Docker directly, you do not need the Addon since the Addon would run another instance of Frigate.
 ## HassOS Addon
 HassOS users can install via the addon repository. Frigate requires an MQTT server.
 1. Navigate to Supervisor > Add-on Store > Repositories
 2. Add https://github.com/blakeblackshear/frigate-hass-addons
 3. Setup your network configuration in the `Configuration` tab if deisred
 4. Create the file `frigate.yml` in your `config` directory with your detailed Frigate configuration
 5. Start the addon container
 6. If you are using hardware acceleration for ffmpeg, you will need to disable "Protection mode"
 ## Docker
 Make sure you choose the right image for your architecture:
 | Arch        | Image Name                                 |
 | ----------- | ------------------------------------------ |
 | amd64       | blakeblackshear/frigate:stable-amd64       |
 | amd64nvidia | blakeblackshear/frigate:stable-amd64nvidia |
 | armv7       | blakeblackshear/frigate:stable-armv7       |
 | aarch64     | blakeblackshear/frigate:stable-aarch64     |
 It is recommended to run with docker-compose:
 ```yaml
 version: "3.9"
 services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: blakeblackshear/frigate:<specify_version_tag>
    devices:
      - /dev/bus/usb:/dev/bus/usb
      - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - <path_to_config_file>:/config/config.yml:ro
      - <path_to_directory_for_media>:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - "5000:5000"
      - "1935:1935" # RTMP feeds
    environment:
      FRIGATE_RTSP_PASSWORD: "password"
 ```
 If you can't use docker compose, you can run the container with something similar to this:
 ```bash
 docker run -d \
  --name frigate \
  --restart=unless-stopped \
  --mount type=tmpfs,target=/tmp/cache,tmpfs-size=1000000000 \
  --device /dev/bus/usb:/dev/bus/usb \
  --device /dev/dri/renderD128 \
  -v <path_to_directory_for_media>:/media/frigate \
  -v <path_to_config_file>:/config/config.yml:ro \
  -v /etc/localtime:/etc/localtime:ro \
  -e FRIGATE_RTSP_PASSWORD='password' \
  -p 5000:5000 \
  -p 1935:1935 \
  blakeblackshear/frigate:<specify_version_tag>
 ```
 ### Calculating shm-size
 The default shm-size of 64m is fine for setups with 3 or less 1080p cameras. If frigate is exiting with "Bus error" messages, it could be because you have too many high resolution cameras and you need to specify a higher shm size.
 You can calculate the necessary shm-size for each camera with the following formula:
 ```
 (width * height * 1.5 * 7 + 270480)/1048576 = <shm size in mb>
 ```
 The shm size cannot be set per container for Home Assistant Addons. You must set `default-shm-size` in `/etc/docker/daemon.json` to increase the default shm size. This will increase the shm size for all of your docker containers. This may or may not cause issues with your setup. https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file
 ## Kubernetes
 Use the [helm chart](https://github.com/blakeblackshear/blakeshome-charts/tree/master/charts/frigate).
 ## Virtualization
 For ideal performance, Frigate needs access to underlying hardware for the Coral and GPU devices for ffmpeg decoding. Running Frigate in a VM on top of Proxmox, ESXi, Virtualbox, etc. is not recommended. The virtualization layer typically introduces a sizable amount of overhead for communication with Coral devices.
 ### Proxmox
 Some people have had success running Frigate in LXC directly with the following config:
 ```
 arch: amd64
 cores: 2
 features: nesting=1
 hostname: FrigateLXC
 memory: 4096
 net0: name=eth0,bridge=vmbr0,firewall=1,hwaddr=2E:76:AE:5A:58:48,ip=dhcp,ip6=auto,type=veth
 ostype: debian
 rootfs: local-lvm:vm-115-disk-0,size=12G
 swap: 512
 lxc.cgroup.devices.allow: c 189:385 rwm
 lxc.mount.entry: /dev/dri/renderD128 dev/dri/renderD128 none bind,optional,create=file
 lxc.mount.entry: /dev/bus/usb/004/002 dev/bus/usb/004/002 none bind,optional,create=file
 lxc.apparmor.profile: unconfined
 lxc.cgroup.devices.allow: a
 lxc.cap.drop:
 ```
 ### ESX
 For details on running Frigate under ESX, see details [here](https://github.com/blakeblackshear/frigate/issues/305).
--- a/docs/docs/integrations/api.md
+++ b/docs/docs/integrations/api.md
@@ -24,19 +24,9 @@ Accepts the following query string parameters:
 You can access a higher resolution mjpeg stream by appending `h=height-in-pixels` to the endpoint. For example `http://localhost:5000/api/back?h=1080`. You can also increase the FPS by appending `fps=frame-rate` to the URL such as `http://localhost:5000/api/back?fps=10` or both with `?fps=10&h=1000`.
 ### `GET /api/<camera_name>/<object_name>/best.jpg[?h=300&crop=1&quality=70]`
 The best snapshot for any object type. It is a full resolution image by default.
 Example parameters:
 - `h=300`: resizes the image to 300 pixes tall
 - `crop=1`: crops the image to the region of the detection rather than returning the entire image
 - `quality=70`: sets the jpeg encoding quality (0-100)
 ### `GET /api/<camera_name>/latest.jpg[?h=300]`
-The most recent frame that frigate has finished processing. It is a full resolution image by default.
+The most recent frame that Frigate has finished processing. It is a full resolution image by default.
 Accepts the following query string parameters:
@@ -73,7 +63,7 @@ Sample response:
    "camera_fps": 5.0,
    /***************
     * Number of times detection is run per second. This can be higher than
-     * your camera FPS because frigate often looks at the same frame multiple times
+     * your camera FPS because Frigate often looks at the same frame multiple times
     * or in multiple locations
     ***************/
    "detection_fps": 1.5,
@@ -86,11 +76,11 @@ Sample response:
     ***************/
    "pid": 34,
    /***************
-     * Frames per second being processed by frigate.
+     * Frames per second being processed by Frigate.
     ***************/
    "process_fps": 5.1,
    /***************
-     * Frames per second skip for processing by frigate.
+     * Frames per second skip for processing by Frigate.
     ***************/
    "skipped_fps": 0.0
  },
@@ -120,7 +110,8 @@ Sample response:
  "service": {
    /* Uptime in seconds */
    "uptime": 10,
-    "version": "0.8.0-8883709",
+    "version": "0.10.1-8883709",
    "latest_version": "0.10.1",
    /* Storage data in MB for important locations */
    "storage": {
      "/media/frigate/clips": {
@@ -168,13 +159,14 @@ Events from the database. Accepts the following query string parameters:
 | -------------------- | ---- | --------------------------------------------- |
 | `before`             | int  | Epoch time                                    |
 | `after`              | int  | Epoch time                                    |
-| `camera`             | str  | Camera name                                   |
+| `cameras`            | str  | , separated list of cameras                   |
-| `label`              | str  | Label name                                    |
+| `labels`             | str  | , separated list of labels                    |
-| `zone`               | str  | Zone name                                     |
+| `zones`              | str  | , separated list of zones                     |
 | `limit`              | int  | Limit the number of events returned           |
 | `has_snapshot`       | int  | Filter to events that have snapshots (0 or 1) |
 | `has_clip`           | int  | Filter to events that have clips (0 or 1)     |
 | `include_thumbnails` | int  | Include thumbnails in the response (0 or 1)   |
 | `in_progress`        | int  | Limit to events in progress (0 or 1)          |
 ### `GET /api/events/summary`
@@ -188,10 +180,41 @@ Returns data for a single event.
 Permanently deletes the event along with any clips/snapshots.
 ### `POST /api/events/<id>/retain`
 Sets retain to true for the event id.
 ### `POST /api/events/<id>/plus`
 Submits the snapshot of the event to Frigate+ for labeling.
 ### `DELETE /api/events/<id>/retain`
 Sets retain to false for the event id (event may be deleted quickly after removing).
 ### `POST /api/events/<id>/sub_label`
 Set a sub label for an event. For example to update `person` -> `person's name` if they were recognized with facial recognition.
 Sub labels must be 20 characters or shorter.
 ```json
 {
  "subLabel": "some_string"
 }
 ```
 ### `GET /api/events/<id>/thumbnail.jpg`
 Returns a thumbnail for the event id optimized for notifications. Works while the event is in progress and after completion. Passing `?format=android` will convert the thumbnail to 2:1 aspect ratio.
 ### `GET /api/<camera_name>/<label>/thumbnail.jpg`
 Returns the thumbnail from the latest event for the given camera and label combo. Using `any` as the label will return the latest thumbnail regardless of type.
 ### `GET /api/events/<id>/clip.mp4`
 Returns the clip for the event id. Works after the event has ended.
 ### `GET /api/events/<id>/snapshot.jpg`
 Returns the snapshot image for the event id. Works while the event is in progress and after completion.
@@ -206,10 +229,43 @@ Accepts the following query string parameters, but they are only applied when an
 | `crop`      | int  | Crop the snapshot to the (0 or 1)                 |
 | `quality`   | int  | Jpeg encoding quality (0-100). Defaults to 70.    |
-### `/clips/<camera>-<id>.jpg`
+### `GET /api/<camera_name>/<label>/snapshot.jpg`
 Returns the snapshot image from the latest event for the given camera and label combo. Using `any` as the label will return the latest thumbnail regardless of type.
 ### `GET /clips/<camera>-<id>.jpg`
 JPG snapshot for the given camera and event id.
-### `/vod/<year>-<month>/<day>/<hour>/<camera>/master.m3u8`
+### `GET /vod/<year>-<month>/<day>/<hour>/<camera>/master.m3u8`
 HTTP Live Streaming Video on Demand URL for the specified hour and camera. Can be viewed in an application like VLC.
 ### `GET /vod/event/<event-id>/index.m3u8`
 HTTP Live Streaming Video on Demand URL for the specified event. Can be viewed in an application like VLC.
 ### `GET /vod/<camera>/start/<start-timestamp>/end/<end-timestamp>/index.m3u8`
 HTTP Live Streaming Video on Demand URL for the camera with the specified time range. Can be viewed in an application like VLC.
 ### `GET /api/<camera_name>/recordings/summary`
 Hourly summary of recordings data for a camera.
 ### `GET /api/<camera_name>/recordings`
 Get recording segment details for the given timestamp range.
 | param    | Type | Description                           |
 | -------- | ---- | ------------------------------------- |
 | `after`  | int  | Unix timestamp for beginning of range |
 | `before` | int  | Unix timestamp for end of range       |
 ### `GET /api/ffprobe`
 Get ffprobe output for camera feed paths.
 | param   | Type   | Description                        |
 | ------- | ------ | ---------------------------------- |
 | `paths` | string | `,` separated list of camera paths |
--- a/docs/docs/integrations/home-assistant.md
+++ b/docs/docs/integrations/home-assistant.md
@@ -0,0 +1,207 @@
 ---
 id: home-assistant
 title: Home Assistant Integration
 ---
 The best way to integrate with Home Assistant is to use the [official integration](https://github.com/blakeblackshear/frigate-hass-integration).
 ## Installation
 ### Preparation
 The Frigate integration requires the `mqtt` integration to be installed and
 manually configured first.
 See the [MQTT integration
 documentation](https://www.home-assistant.io/integrations/mqtt/) for more
 details.
 ### Integration installation
 Available via HACS as a default repository. To install:
 - Use [HACS](https://hacs.xyz/) to install the integration:
 ```
 Home Assistant > HACS > Integrations > "Explore & Add Integrations" > Frigate
 ```
 - Restart Home Assistant.
 - Then add/configure the integration:
 ```
 Home Assistant > Configuration > Integrations > Add Integration > Frigate
 ```
 Note: You will also need
 [media_source](https://www.home-assistant.io/integrations/media_source/) enabled
 in your Home Assistant configuration for the Media Browser to appear.
 ### (Optional) Lovelace Card Installation
 To install the optional companion Lovelace card, please see the [separate
 installation instructions](https://github.com/dermotduffy/frigate-hass-card) for
 that card.
 ## Configuration
 When configuring the integration, you will be asked for the `URL` of your Frigate instance which is the URL you use to access Frigate in the browser. This may look like `http://<host>:5000/`. If you are using HassOS with the addon, the URL should be one of the following depending on which addon version you are using. Note that if you are using the Proxy Addon, you do NOT point the integration at the proxy URL. Just enter the URL used to access Frigate directly from your network.
 | Addon Version                  | URL                                    |
 | ------------------------------ | -------------------------------------- |
 | Frigate NVR                    | `http://ccab4aaf-frigate:5000`         |
 | Frigate NVR (Full Access)      | `http://ccab4aaf-frigate-fa:5000`      |
 | Frigate NVR Beta               | `http://ccab4aaf-frigate-beta:5000`    |
 | Frigate NVR Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000` |
 <a name="options"></a>
 ## Options
 ```
 Home Assistant > Configuration > Integrations > Frigate > Options
 ```
 | Option            | Description                                                                                                                                                                                                                                                                                                                          |
 | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | RTSP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTMP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTSP streams](#streams) below. |
 ## Entities Provided
 | Platform        | Description                                                                       |
 | --------------- | --------------------------------------------------------------------------------- |
 | `camera`        | Live camera stream (requires RTMP), camera for image of the last detected object. |
 | `sensor`        | States to monitor Frigate performance, object counts for all zones and cameras.   |
 | `switch`        | Switch entities to toggle detection, recordings and snapshots.                    |
 | `binary_sensor` | A "motion" binary sensor entity per camera/zone/object.                           |
 ## Media Browser Support
 The integration provides:
 - Browsing event recordings with thumbnails
 - Browsing snapshots
 - Browsing recordings by month, day, camera, time
 This is accessible via "Media Browser" on the left menu panel in Home Assistant.
 ## Casting Clips To Media Devices
 The integration supports casting clips and camera streams to supported media devices.
 :::tip
 For clips to be castable to media devices, audio is required and may need to be [enabled for recordings](../troubleshooting/faqs.md#audio-in-recordings).
 **NOTE: Even if you camera does not support audio, audio will need to be enabled for Casting to be accepted.**
 :::
 <a name="api"></a>
 ## Notification API
 Many people do not want to expose Frigate to the web, so the integration creates some public API endpoints that can be used for notifications.
 To load a thumbnail for an event:
 ```
 https://HA_URL/api/frigate/notifications/<event-id>/thumbnail.jpg
 ```
 To load a snapshot for an event:
 ```
 https://HA_URL/api/frigate/notifications/<event-id>/snapshot.jpg
 ```
 To load a video clip of an event:
 ```
 https://HA_URL/api/frigate/notifications/<event-id>/clip.mp4
 ```
 <a name="streams"></a>
 ## RTMP stream
 RTMP is deprecated and it is recommended to switch to use RTSP restreams.
 ## RTSP stream
 In order for the live streams to function they need to be accessible on the RTSP
 port (default: `8554`) at `<frigatehost>:8554`. Home Assistant will directly
 connect to that streaming port when the live camera is viewed.
 #### RTSP URL Template
 For advanced usecases, this behavior can be changed with the [RTSP URL
 template](#options) option. When set, this string will override the default stream
 address that is derived from the default behavior described above. This option supports
 [jinja2 templates](https://jinja.palletsprojects.com/) and has the `camera` dict
 variables from [Frigate API](api.md)
 available for the template. Note that no Home Assistant state is available to the
 template, only the camera dict from Frigate.
 This is potentially useful when Frigate is behind a reverse proxy, and/or when
 the default stream port is otherwise not accessible to Home Assistant (e.g.
 firewall rules).
 ###### RTSP URL Template Examples
 Use a different port number:
 ```
 rtsp://<frigate_host>:2000/front_door
 ```
 Use the camera name in the stream URL:
 ```
 rtsp://<frigate_host>:2000/{{ name }}
 ```
 Use the camera name in the stream URL, converting it to lowercase first:
 ```
 rtsp://<frigate_host>:2000/{{ name|lower }}
 ```
 ## Multiple Instance Support
 The Frigate integration seamlessly supports the use of multiple Frigate servers.
 ### Requirements for Multiple Instances
 In order for multiple Frigate instances to function correctly, the
 `topic_prefix` and `client_id` parameters must be set differently per server.
 See [MQTT
 configuration](mqtt.md)
 for how to set these.
 #### API URLs
 When multiple Frigate instances are configured, [API](#api) URLs should include an
 identifier to tell Home Assistant which Frigate instance to refer to. The
 identifier used is the MQTT `client_id` parameter included in the configuration,
 and is used like so:
 ```
 https://HA_URL/api/frigate/<client-id>/notifications/<event-id>/thumbnail.jpg
 ```
 ```
 https://HA_URL/api/frigate/<client-id>/clips/front_door-1624599978.427826-976jaa.mp4
 ```
 #### Default Treatment
 When a single Frigate instance is configured, the `client-id` parameter need not
 be specified in URLs/identifiers -- that single instance is assumed. When
 multiple Frigate instances are configured, the user **must** explicitly specify
 which server they are referring to.
 ## FAQ
 #### If I am detecting multiple objects, how do I assign the correct `binary_sensor` to the camera in HomeKit?
 The [HomeKit integration](https://www.home-assistant.io/integrations/homekit/) randomly links one of the binary sensors (motion sensor entities) grouped with the camera device in Home Assistant. You can specify a `linked_motion_sensor` in the Home Assistant [HomeKit configuration](https://www.home-assistant.io/integrations/homekit/#linked_motion_sensor) for each camera.
--- a/docs/docs/integrations/mqtt.md
+++ b/docs/docs/integrations/mqtt.md
@@ -8,20 +8,22 @@ These are the MQTT messages generated by Frigate. The default topic_prefix is `f
 ### `frigate/available`
 Designed to be used as an availability topic with Home Assistant. Possible message are:
-"online": published when frigate is running (on startup)
+"online": published when Frigate is running (on startup)
-"offline": published right before frigate stops
+"offline": published right before Frigate stops
 ### `frigate/restart`
-Causes frigate to exit. Docker should be configured to automatically restart the container on exit.
+Causes Frigate to exit. Docker should be configured to automatically restart the container on exit.
 ### `frigate/<camera_name>/<object_name>`
 Publishes the count of objects for the camera for use as a sensor in Home Assistant.
 `all` can be used as the object_name for the count of all objects for the camera.
 ### `frigate/<zone_name>/<object_name>`
 Publishes the count of objects for the zone for use as a sensor in Home Assistant.
 `all` can be used as the object_name for the count of all objects for the zone.
 ### `frigate/<camera_name>/<object_name>/snapshot`
@@ -32,17 +34,18 @@ The height and crop of snapshots can be configured in the config.
 ### `frigate/events`
-Message published for each changed event. The first message is published when the tracked object is no longer marked as a false_positive. When frigate finds a better snapshot of the tracked object or when a zone change occurs, it will publish a message with the same id. When the event ends, a final message is published with `end_time` set.
+Message published for each changed event. The first message is published when the tracked object is no longer marked as a false_positive. When Frigate finds a better snapshot of the tracked object or when a zone change occurs, it will publish a message with the same id. When the event ends, a final message is published with `end_time` set.
 ```json
 {
-  "type": "update", // new, update, end or clip_ready
+  "type": "update", // new, update, end
  "before": {
    "id": "1607123955.475377-mxklsc",
    "camera": "front_door",
    "frame_time": 1607123961.837752,
    "snapshot_time": 1607123961.837752,
    "label": "person",
    "sub_label": null,
    "top_score": 0.958984375,
    "false_positive": false,
    "start_time": 1607123955.475377,
@@ -50,10 +53,16 @@ Message published for each changed event. The first message is published when th
    "score": 0.7890625,
    "box": [424, 500, 536, 712],
    "area": 23744,
    "ratio": 2.113207,
    "region": [264, 450, 667, 853],
    "current_zones": ["driveway"],
    "entered_zones": ["yard", "driveway"],
-    "thumbnail": null
+    "thumbnail": null,
    "has_snapshot": false,
    "has_clip": false,
    "stationary": false, // whether or not the object is considered stationary
    "motionless_count": 0, // number of frames the object has been motionless
    "position_changes": 2 // number of times the object has moved from a stationary position
  },
  "after": {
    "id": "1607123955.475377-mxklsc",
@@ -61,6 +70,7 @@ Message published for each changed event. The first message is published when th
    "frame_time": 1607123962.082975,
    "snapshot_time": 1607123961.837752,
    "label": "person",
    "sub_label": null,
    "top_score": 0.958984375,
    "false_positive": false,
    "start_time": 1607123955.475377,
@@ -68,10 +78,16 @@ Message published for each changed event. The first message is published when th
    "score": 0.87890625,
    "box": [432, 496, 544, 854],
    "area": 40096,
    "ratio": 1.251397,
    "region": [218, 440, 693, 915],
    "current_zones": ["yard", "driveway"],
    "entered_zones": ["yard", "driveway"],
-    "thumbnail": null
+    "thumbnail": null,
    "has_snapshot": false,
    "has_clip": false,
    "stationary": false, // whether or not the object is considered stationary
    "motionless_count": 0, // number of frames the object has been motionless
    "position_changes": 2 // number of times the object has changed position
  }
 }
 ```
@@ -103,3 +119,42 @@ Topic to turn snapshots for a camera on and off. Expected values are `ON` and `O
 ### `frigate/<camera_name>/snapshots/state`
 Topic with current state of snapshots for a camera. Published values are `ON` and `OFF`.
 ### `frigate/<camera_name>/motion/set`
 Topic to turn motion detection for a camera on and off. Expected values are `ON` and `OFF`.
 NOTE: Turning off motion detection will fail if detection is not disabled.
 ### `frigate/<camera_name>/motion`
 Whether camera_name is currently detecting motion. Expected values are `ON` and `OFF`.
 NOTE: After motion is initially detected, `ON` will be set until no motion has
 been detected for `mqtt_off_delay` seconds (30 by default).
 ### `frigate/<camera_name>/motion/state`
 Topic with current state of motion detection for a camera. Published values are `ON` and `OFF`.
 ### `frigate/<camera_name>/improve_contrast/set`
 Topic to turn improve_contrast for a camera on and off. Expected values are `ON` and `OFF`.
 ### `frigate/<camera_name>/improve_contrast/state`
 Topic with current state of improve_contrast for a camera. Published values are `ON` and `OFF`.
 ### `frigate/<camera_name>/motion_threshold/set`
 Topic to adjust motion threshold for a camera. Expected value is an integer.
 ### `frigate/<camera_name>/motion_threshold/state`
 Topic with current motion threshold for a camera. Published value is an integer.
 ### `frigate/<camera_name>/motion_contour_area/set`
 Topic to adjust motion contour area for a camera. Expected value is an integer.
 ### `frigate/<camera_name>/motion_contour_area/state`
 Topic with current motion contour area for a camera. Published value is an integer.
--- a/docs/docs/integrations/plus.md
+++ b/docs/docs/integrations/plus.md
@@ -0,0 +1,48 @@
 ---
 id: plus
 title: Frigate+
 ---
 :::info
 Frigate+ is under active development and currently only offers the ability to submit your examples with annotations. Models will be available after enough examples are submitted to train a robust model. It is free to create an account and upload your examples.
 :::
 Frigate+ offers models trained from scratch and specifically designed for the way Frigate NVR analyzes video footage. They offer higher accuracy with less resources. By uploading your own labeled examples, your model can be uniquely tuned for accuracy in your specific conditions. After tuning, performance is evaluated against a broad dataset and real world examples submitted by other Frigate+ users to prevent overfitting.
 Custom models also include a more relevant set of objects for security cameras such as person, face, car, license plate, delivery truck, package, dog, cat, deer, and more. Interested in detecting an object unique to you? Upload examples to incorporate your own objects without worrying that you are reducing the accuracy of other object types in the model.
 ## Setup
 ### Create an account
 Free accounts can be created at [https://plus.frigate.video](https://plus.frigate.video).
 ### Generate an API key
 Once logged in, you can generate an API key for Frigate in Settings.
 ![API key](/img/plus-api-key-min.png)
 ### Set your API key
 In Frigate, you can set the `PLUS_API_KEY` environment variable to enable the `SEND TO FRIGATE+` buttons on the events page. You can set it in your Docker Compose file or in your Docker run command. Home Assistant Addon users can set it under Settings > Addons > Frigate NVR > Configuration > Options (be sure to toggle the "Show unused optional configuration options" switch).
 :::caution
 You cannot use the `environment_vars` section of your configuration file to set this environment variable.
 :::
 ### Submit examples
 Once your API key is configured, you can submit examples directly from the events page in Frigate using the `SEND TO FRIGATE+` button.
 ![Send To Plus](/img/send-to-plus.png)
 ### Annotate and verify
 You can view all of your submitted images at [https://plus.frigate.video](https://plus.frigate.video). Annotations can be added by clicking an image.
 ![Annotate](/img/annotate.png)
--- a/docs/docs/troubleshooting.md
+++ b/docs/docs/troubleshooting.md
@@ -1,30 +0,0 @@
 ---
 id: troubleshooting
 title: Troubleshooting and FAQ
 ---
 ### I am seeing a solid green image for my camera.
 A solid green image means that frigate has not received any frames from ffmpeg. Check the logs to see why ffmpeg is exiting and adjust your ffmpeg args accordingly.
 ### How can I get sound or audio in my recordings?
 By default, Frigate removes audio from recordings to reduce the likelihood of failing for invalid data. If you would like to include audio, you need to override the output args to remove `-an` for where you want to include audio. The recommended audio codec is `aac`. Not all audio codecs are supported by RTMP, so you may need to re-encode your audio with `-c:a aac`. The default ffmpeg args are shown [here](/frigate/configuration/index#ffmpeg).
 ### My mjpeg stream or snapshots look green and crazy
 This almost always means that the width/height defined for your camera are not correct. Double check the resolution with vlc or another player. Also make sure you don't have the width and height values backwards.
 ![mismatched-resolution](/img/mismatched-resolution.jpg)
 ### I can't view events or recordings in the Web UI.
 Ensure your cameras send h264 encoded video
 ### "[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5639eeb6e140] moov atom not found"
 These messages in the logs are expected in certain situations. Frigate checks the integrity of the recordings before storing. Occasionally these cached files will be invalid and cleaned up automatically.
 ### "On connect called"
 If you see repeated "On connect called" messages in your config, check for another instance of frigate. This happens when multiple frigate containers are trying to connect to mqtt with the same client_id.
--- a/docs/docs/troubleshooting/faqs.md
+++ b/docs/docs/troubleshooting/faqs.md
@@ -0,0 +1,40 @@
 ---
 id: faqs
 title: Frequently Asked Questions
 ---
 ### Fatal Python error: Bus error
 This error message is due to a shm-size that is too small. Try updating your shm-size according to [this guide](../frigate/installation.md#calculating-required-shm-size).
 ### How can I get sound or audio in my recordings? {#audio-in-recordings}
 By default, Frigate removes audio from recordings to reduce the likelihood of failing for invalid data. If you would like to include audio, you need to set a [FFmpeg preset](/configuration/ffmpeg_presets) that supports audio:
 ```yaml title="frigate.yml"
 ffmpeg:
  output_args:
    record: preset-record-generic-audio-aac
 ```
 ### My mjpeg stream or snapshots look green and crazy
 This almost always means that the width/height defined for your camera are not correct. Double check the resolution with VLC or another player. Also make sure you don't have the width and height values backwards.
 ![mismatched-resolution](/img/mismatched-resolution-min.jpg)
 ### I can't view events or recordings in the Web UI.
 Ensure your cameras send h264 encoded video, or [transcode them](/configuration/restream.md).
 ### "[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5639eeb6e140] moov atom not found"
 These messages in the logs are expected in certain situations. Frigate checks the integrity of the recordings before storing. Occasionally these cached files will be invalid and cleaned up automatically.
 ### "On connect called"
 If you see repeated "On connect called" messages in your logs, check for another instance of Frigate. This happens when multiple Frigate containers are trying to connect to MQTT with the same `client_id`.
 ### Error: Database Is Locked
 SQLite does not work well on a network share, if the `/media` folder is mapped to a network share then [this guide](../configuration/advanced.md#database) should be used to move the database to a location on the internal drive.
--- a/docs/docs/usage/home-assistant.md
+++ b/docs/docs/usage/home-assistant.md
@@ -1,281 +0,0 @@
 ---
 id: home-assistant
 title: Integration with Home Assistant
 sidebar_label: Home Assistant
 ---
 The best way to integrate with Home Assistant is to use the [official integration](https://github.com/blakeblackshear/frigate-hass-integration).
 ## Installation
 Available via HACS as a [custom repository](https://hacs.xyz/docs/faq/custom_repositories). To install:
 - Add the custom repository:
 ```
 Home Assistant > HACS > Integrations > [...] > Custom Repositories
 ```
 | Key            | Value                                                       |
 | -------------- | ----------------------------------------------------------- |
 | Repository URL | https://github.com/blakeblackshear/frigate-hass-integration |
 | Category       | Integration                                                 |
 - Use [HACS](https://hacs.xyz/) to install the integration:
 ```
 Home Assistant > HACS > Integrations > "Explore & Add Integrations" > Frigate
 ```
 - Restart Home Assistant.
 - Then add/configure the integration:
 ```
 Home Assistant > Configuration > Integrations > Add Integration > Frigate
 ```
 Note: You will also need
 [media_source](https://www.home-assistant.io/integrations/media_source/) enabled
 in your Home Assistant configuration for the Media Browser to appear.
 ## Configuration
 When configuring the integration, you will be asked for the following parameters:
 | Variable | Description                                                                                                                                                                                                                                                                                                                                                                      |
 | -------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | URL      | The `URL` of your frigate instance, the URL you use to access Frigate in the browser. This may look like `http://<host>:5000/`. If you are using HassOS with the addon, the URL should be `http://ccab4aaf-frigate:5000` (or `http://ccab4aaf-frigate-beta:5000` if your are using the beta version of the addon). Live streams required port 1935, see [RTMP streams](#streams) |
 <a name="options"></a>
 ## Options
 ```
 Home Assistant > Configuration > Integrations > Frigate > Options
 ```
 | Option            | Description                                                                                                                                                                                                                                                                                                                          |
 | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | RTMP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTMP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTMP streams](#streams) below. |
 ## Entities Provided
 | Platform        | Description                                                                       |
 | --------------- | --------------------------------------------------------------------------------- |
 | `camera`        | Live camera stream (requires RTMP), camera for image of the last detected object. |
 | `sensor`        | States to monitor Frigate performance, object counts for all zones and cameras.   |
 | `switch`        | Switch entities to toggle detection, recordings and snapshots.                    |
 | `binary_sensor` | A "motion" binary sensor entity per camera/zone/object.                           |
 ## Media Browser Support
 The integration provides:
 - Rich UI with thumbnails for browsing event recordings
 - Rich UI for browsing 24/7 recordings by month, day, camera, time
 This is accessible via "Media Browser" on the left menu panel in Home Assistant.
 <a name="api"></a>
 ## API
 - Notification API with public facing endpoints for images in notifications
 ### Notifications
 Frigate publishes event information in the form of a change feed via MQTT. This
 allows lots of customization for notifications to meet your needs. Event changes
 are published with `before` and `after` information as shown
 [here](#frigateevents). Note that some people may not want to expose frigate to
 the web, so you can leverage the HA API that frigate custom_integration ties
 into (which is exposed to the web, and thus can be used for mobile notifications
 etc):
 To load an image taken by frigate from Home Assistants API see below:
 ```
 https://HA_URL/api/frigate/notifications/<event-id>/thumbnail.jpg
 ```
 To load a video clip taken by frigate from Home Assistants API :
 ```
 https://HA_URL/api/frigate/notifications/<event-id>/<camera>/clip.mp4
 ```
 Here is a simple example of a notification automation of events which will update the existing notification for each change. This means the image you see in the notification will update as frigate finds a "better" image.
 ```yaml
 automation:
  - alias: Notify of events
    trigger:
      platform: mqtt
      topic: frigate/events
    action:
      - service: notify.mobile_app_pixel_3
        data_template:
          message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
          data:
            image: 'https://your.public.hass.address.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg?format=android'
            tag: '{{trigger.payload_json["after"]["id"]}}'
            when: '{{trigger.payload_json["after"]["start_time"]|int}}'
 ```
 ```yaml
 automation:
  - alias: When a person enters a zone named yard
    trigger:
      platform: mqtt
      topic: frigate/events
    condition:
      - "{{ trigger.payload_json['after']['label'] == 'person' }}"
      - "{{ 'yard' in trigger.payload_json['after']['entered_zones'] }}"
    action:
      - service: notify.mobile_app_pixel_3
        data_template:
          message: "A {{trigger.payload_json['after']['label']}} has entered the yard."
          data:
            image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
            tag: "{{trigger.payload_json['after']['id']}}"
            when: '{{trigger.payload_json["after"]["start_time"]|int}}'
 ```
 ```yaml
 - alias: When a person leaves a zone named yard
  trigger:
    platform: mqtt
    topic: frigate/events
  condition:
    - "{{ trigger.payload_json['after']['label'] == 'person' }}"
    - "{{ 'yard' in trigger.payload_json['before']['current_zones'] }}"
    - "{{ not 'yard' in trigger.payload_json['after']['current_zones'] }}"
  action:
    - service: notify.mobile_app_pixel_3
      data_template:
        message: "A {{trigger.payload_json['after']['label']}} has left the yard."
        data:
          image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
          tag: "{{trigger.payload_json['after']['id']}}"
          when: '{{trigger.payload_json["after"]["start_time"]|int}}'
 ```
 ```yaml
 - alias: Notify for dogs in the front with a high top score
  trigger:
    platform: mqtt
    topic: frigate/events
  condition:
    - "{{ trigger.payload_json['after']['label'] == 'dog' }}"
    - "{{ trigger.payload_json['after']['camera'] == 'front' }}"
    - "{{ trigger.payload_json['after']['top_score'] > 0.98 }}"
  action:
    - service: notify.mobile_app_pixel_3
      data_template:
        message: "High confidence dog detection."
        data:
          image: "https://url.com/api/frigate/notifications/{{trigger.payload_json['after']['id']}}/thumbnail.jpg"
          tag: "{{trigger.payload_json['after']['id']}}"
          when: '{{trigger.payload_json["after"]["start_time"]|int}}'
 ```
 If you are using telegram, you can fetch the image directly from Frigate:
 ```yaml
 automation:
  - alias: Notify of events
    trigger:
      platform: mqtt
      topic: frigate/events
    action:
      - service: notify.telegram_full
        data_template:
          message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
          data:
            photo:
              # this url should work for addon users
              - url: 'http://ccab4aaf-frigate:5000/api/events/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg'
                caption: 'A {{trigger.payload_json["after"]["label"]}} was detected on {{ trigger.payload_json["after"]["camera"] }} camera'
 ```
 <a name="streams"></a>
 ## RTMP stream
 In order for the live streams to function they need to be accessible on the RTMP
 port (default: `1935`) at `<frigatehost>:1935`. Home Assistant will directly
 connect to that streaming port when the live camera is viewed.
 #### RTMP URL Template
 For advanced usecases, this behavior can be changed with the [RTMP URL
 template](#options) option. When set, this string will override the default stream
 address that is derived from the default behavior described above. This option supports
 [jinja2 templates](https://jinja.palletsprojects.com/) and has the `camera` dict
 variables from [Frigate API](https://blakeblackshear.github.io/frigate/usage/api#apiconfig)
 available for the template. Note that no Home Assistant state is available to the
 template, only the camera dict from Frigate.
 This is potentially useful when Frigate is behind a reverse proxy, and/or when
 the default stream port is otherwise not accessible to Home Assistant (e.g.
 firewall rules).
 ###### RTMP URL Template Examples
 Use a different port number:
 ```
 rtmp://<frigate_host>:2000/live/front_door
 ```
 Use the camera name in the stream URL:
 ```
 rtmp://<frigate_host>:2000/live/{{ name }}
 ```
 Use the camera name in the stream URL, converting it to lowercase first:
 ```
 rtmp://<frigate_host>:2000/live/{{ name|lower }}
 ```
 ## Multiple Instance Support
 The Frigate integration seamlessly supports the use of multiple Frigate servers.
 ### Requirements for Multiple Instances
 In order for multiple Frigate instances to function correctly, the
 `topic_prefix` and `client_id` parameters must be set differently per server.
 See [MQTT
 configuration](https://blakeblackshear.github.io/frigate/configuration/index#mqtt)
 for how to set these.
 #### API URLs
 When multiple Frigate instances are configured, [API](#api) URLs should include an
 identifier to tell Home Assistant which Frigate instance to refer to. The
 identifier used is the MQTT `client_id` paremeter included in the configuration,
 and is used like so:
 ```
 https://HA_URL/api/frigate/<client-id>/notifications/<event-id>/thumbnail.jpg
 ```
 ```
 https://HA_URL/api/frigate/<client-id>/clips/front_door-1624599978.427826-976jaa.mp4
 ```
 #### Default Treatment
 When a single Frigate instance is configured, the `client-id` parameter need not
 be specified in URLs/identifiers -- that single instance is assumed. When
 multiple Frigate instances are configured, the user **must** explicitly specify
 which server they are referring to.
 ## FAQ
 ### If I am detecting multiple objects, how do I assign the correct `binary_sensor` to the camera in HomeKit?
 The [HomeKit integration](https://www.home-assistant.io/integrations/homekit/) randomly links one of the binary sensors (motion sensor entities) grouped with the camera device in Home Assistant. You can specify a `linked_motion_sensor` in the Home Assistant [HomeKit configuration](https://www.home-assistant.io/integrations/homekit/#linked_motion_sensor) for each camera.
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 ## Communitiy Guides/How-To's
 - Best Camera AI Person & Object Detection - How to Setup Frigate w/ Home Assistant - digiblurDIY [YouTube](https://youtu.be/V8vGdoYO6-Y) - [Article](https://www.digiblur.com/2021/05/how-to-setup-frigate-home-assistant.html)
 - Even More Free Local Object Detection with Home Assistant - Frigate Install - Everything Smart Home [YouTube](https://youtu.be/pqDCEZSVeRk)
 - Home Assistant Frigate integration for local image recognition - KPeyanski [YouTube](https://youtu.be/Q2UT78lFQpo) - [Article](https://peyanski.com/home-assistant-frigate-integration/)
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