mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-02-07 11:45:24 +03:00
Merge branch 'dev' into 230615-feature-camera-live-preview
This commit is contained in:
Sergey Krashevich
commit
d8b479c5fc
@ -42,7 +42,6 @@
|
||||
"extensions": [
|
||||
"ms-python.python",
|
||||
"ms-python.vscode-pylance",
|
||||
"ms-python.black-formatter",
|
||||
"visualstudioexptteam.vscodeintellicode",
|
||||
"mhutchie.git-graph",
|
||||
"ms-azuretools.vscode-docker",
|
||||
@ -53,13 +52,10 @@
|
||||
"csstools.postcss",
|
||||
"blanu.vscode-styled-jsx",
|
||||
"bradlc.vscode-tailwindcss",
|
||||
"ms-python.isort",
|
||||
"charliermarsh.ruff"
|
||||
],
|
||||
"settings": {
|
||||
"remote.autoForwardPorts": false,
|
||||
"python.linting.pylintEnabled": true,
|
||||
"python.linting.enabled": true,
|
||||
"python.formatting.provider": "none",
|
||||
"python.languageServer": "Pylance",
|
||||
"editor.formatOnPaste": false,
|
||||
@ -72,7 +68,7 @@
|
||||
"eslint.workingDirectories": ["./web"],
|
||||
"isort.args": ["--settings-path=./pyproject.toml"],
|
||||
"[python]": {
|
||||
"editor.defaultFormatter": "ms-python.black-formatter",
|
||||
"editor.defaultFormatter": "charliermarsh.ruff",
|
||||
"editor.formatOnSave": true,
|
||||
"editor.codeActionsOnSave": {
|
||||
"source.fixAll": true,
|
||||
|
||||
39
.github/actions/setup/action.yml
vendored
Normal file
39
.github/actions/setup/action.yml
vendored
Normal file
@ -0,0 +1,39 @@
|
||||
name: 'Setup'
|
||||
description: 'Set up QEMU and Buildx'
|
||||
inputs:
|
||||
GITHUB_TOKEN:
|
||||
required: true
|
||||
outputs:
|
||||
image-name:
|
||||
value: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ steps.create-short-sha.outputs.SHORT_SHA }}
|
||||
cache-name:
|
||||
value: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:cache
|
||||
runs:
|
||||
using: "composite"
|
||||
steps:
|
||||
- name: Remove unnecessary files
|
||||
run: |
|
||||
sudo rm -rf /usr/share/dotnet
|
||||
sudo rm -rf /usr/local/lib/android
|
||||
sudo rm -rf /opt/ghc
|
||||
shell: bash
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v5
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- 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@465a07811f14bebb1938fbed4728c6a1ff8901fc
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ inputs.GITHUB_TOKEN }}
|
||||
- name: Create version file
|
||||
run: make version
|
||||
shell: bash
|
||||
- id: create-short-sha
|
||||
run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_OUTPUT
|
||||
shell: bash
|
||||
8
.github/dependabot.yml
vendored
8
.github/dependabot.yml
vendored
@ -13,7 +13,13 @@ updates:
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/"
|
||||
directory: "/docker/main"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/docker/tensorrt"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
|
||||
176
.github/workflows/ci.yml
vendored
176
.github/workflows/ci.yml
vendored
@ -1,6 +1,7 @@
|
||||
name: CI
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
branches:
|
||||
- dev
|
||||
@ -15,53 +16,154 @@ env:
|
||||
PYTHON_VERSION: 3.9
|
||||
|
||||
jobs:
|
||||
multi_arch_build:
|
||||
amd64_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: Image Build
|
||||
name: AMD64 Build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v4
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push amd64 standard build
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
file: docker/main/Dockerfile
|
||||
push: true
|
||||
platforms: linux/amd64
|
||||
target: frigate
|
||||
tags: ${{ steps.setup.outputs.image-name }}-amd64
|
||||
cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
|
||||
- name: Build and push TensorRT (x86 GPU)
|
||||
uses: docker/bake-action@v4
|
||||
with:
|
||||
push: true
|
||||
targets: tensorrt
|
||||
files: docker/tensorrt/trt.hcl
|
||||
set: |
|
||||
tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64,mode=max
|
||||
arm64_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: ARM Build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v4
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push arm64 standard build
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
file: docker/main/Dockerfile
|
||||
push: true
|
||||
platforms: linux/arm64
|
||||
target: frigate
|
||||
tags: |
|
||||
${{ steps.setup.outputs.image-name }}-standard-arm64
|
||||
cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
|
||||
- name: Build and push RPi build
|
||||
uses: docker/bake-action@v4
|
||||
with:
|
||||
push: true
|
||||
targets: rpi
|
||||
files: docker/rpi/rpi.hcl
|
||||
set: |
|
||||
rpi.tags=${{ steps.setup.outputs.image-name }}-rpi
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64,mode=max
|
||||
- name: Build and push RockChip build
|
||||
uses: docker/bake-action@v3
|
||||
with:
|
||||
push: true
|
||||
targets: rk
|
||||
files: docker/rockchip/rk.hcl
|
||||
set: |
|
||||
rk.tags=${{ steps.setup.outputs.image-name }}-rk
|
||||
*.cache-from=type=gha
|
||||
jetson_jp4_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: Jetson Jetpack 4
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v4
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push TensorRT (Jetson, Jetpack 4)
|
||||
env:
|
||||
ARCH: arm64
|
||||
BASE_IMAGE: timongentzsch/l4t-ubuntu20-opencv:latest
|
||||
SLIM_BASE: timongentzsch/l4t-ubuntu20-opencv:latest
|
||||
TRT_BASE: timongentzsch/l4t-ubuntu20-opencv:latest
|
||||
uses: docker/bake-action@v4
|
||||
with:
|
||||
push: true
|
||||
targets: tensorrt
|
||||
files: docker/tensorrt/trt.hcl
|
||||
set: |
|
||||
tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp4
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp4
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp4,mode=max
|
||||
jetson_jp5_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: Jetson Jetpack 5
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v4
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push TensorRT (Jetson, Jetpack 5)
|
||||
env:
|
||||
ARCH: arm64
|
||||
BASE_IMAGE: nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime
|
||||
SLIM_BASE: nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime
|
||||
TRT_BASE: nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime
|
||||
uses: docker/bake-action@v4
|
||||
with:
|
||||
push: true
|
||||
targets: tensorrt
|
||||
files: docker/tensorrt/trt.hcl
|
||||
set: |
|
||||
tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp5
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp5
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp5,mode=max
|
||||
# The majority of users running arm64 are rpi users, so the rpi
|
||||
# build should be the primary arm64 image
|
||||
assemble_default_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: Assemble and push default build
|
||||
needs:
|
||||
- amd64_build
|
||||
- arm64_build
|
||||
steps:
|
||||
- name: Remove unnecessary files
|
||||
run: |
|
||||
sudo rm -rf /usr/share/dotnet
|
||||
sudo rm -rf /usr/local/lib/android
|
||||
sudo rm -rf /opt/ghc
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v5
|
||||
uses: ASzc/change-string-case-action@v6
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- 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@465a07811f14bebb1938fbed4728c6a1ff8901fc
|
||||
uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d
|
||||
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}" >> $GITHUB_ENV
|
||||
- name: Build and push
|
||||
uses: docker/build-push-action@v4
|
||||
- uses: int128/docker-manifest-create-action@v1
|
||||
with:
|
||||
context: .
|
||||
push: true
|
||||
platforms: linux/amd64,linux/arm64
|
||||
target: frigate
|
||||
tags: |
|
||||
ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}
|
||||
cache-from: type=gha
|
||||
cache-to: type=gha,mode=max
|
||||
- name: Build and push TensorRT
|
||||
uses: docker/build-push-action@v4
|
||||
with:
|
||||
context: .
|
||||
push: true
|
||||
platforms: linux/amd64
|
||||
target: frigate-tensorrt
|
||||
tags: |
|
||||
ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}-tensorrt
|
||||
cache-from: type=gha
|
||||
tags: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}
|
||||
suffixes: |
|
||||
-amd64
|
||||
-rpi
|
||||
|
||||
45
.github/workflows/maintain_cache.yml
vendored
45
.github/workflows/maintain_cache.yml
vendored
@ -1,45 +0,0 @@
|
||||
name: Maintain Cache
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: "13 0 * * 0,4"
|
||||
|
||||
env:
|
||||
PYTHON_VERSION: 3.9
|
||||
|
||||
jobs:
|
||||
multi_arch_build:
|
||||
runs-on: ubuntu-latest
|
||||
name: Image Build
|
||||
steps:
|
||||
- name: Remove unnecessary files
|
||||
run: |
|
||||
sudo rm -rf /usr/share/dotnet
|
||||
sudo rm -rf /usr/local/lib/android
|
||||
sudo rm -rf /opt/ghc
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v5
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- 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@465a07811f14bebb1938fbed4728c6a1ff8901fc
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Create version file
|
||||
run: make version
|
||||
- name: Build and push
|
||||
uses: docker/build-push-action@v4
|
||||
with:
|
||||
context: .
|
||||
push: false
|
||||
platforms: linux/amd64,linux/arm64
|
||||
target: frigate
|
||||
cache-from: type=gha
|
||||
27
.github/workflows/pull_request.yml
vendored
27
.github/workflows/pull_request.yml
vendored
@ -15,7 +15,7 @@ jobs:
|
||||
env:
|
||||
DOCKER_BUILDKIT: "1"
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/setup-node@master
|
||||
with:
|
||||
node-version: 16.x
|
||||
@ -34,7 +34,7 @@ jobs:
|
||||
name: Web - Lint
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/setup-node@master
|
||||
with:
|
||||
node-version: 16.x
|
||||
@ -48,7 +48,7 @@ jobs:
|
||||
name: Web - Test
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/setup-node@master
|
||||
with:
|
||||
node-version: 16.x
|
||||
@ -63,22 +63,19 @@ jobs:
|
||||
name: Python Checks
|
||||
steps:
|
||||
- name: Check out the repository
|
||||
uses: actions/checkout@v3
|
||||
uses: actions/checkout@v4
|
||||
- name: Set up Python ${{ env.DEFAULT_PYTHON }}
|
||||
uses: actions/setup-python@v4.6.1
|
||||
uses: actions/setup-python@v4.7.1
|
||||
with:
|
||||
python-version: ${{ env.DEFAULT_PYTHON }}
|
||||
- name: Install requirements
|
||||
run: |
|
||||
python3 -m pip install -U pip
|
||||
python3 -m pip install -r requirements-dev.txt
|
||||
- name: Check black
|
||||
python3 -m pip install -r docker/main/requirements-dev.txt
|
||||
- name: Check formatting
|
||||
run: |
|
||||
black --check --diff frigate migrations docker *.py
|
||||
- name: Check isort
|
||||
run: |
|
||||
isort --check --diff frigate migrations docker *.py
|
||||
- name: Check ruff
|
||||
ruff format --check --diff frigate migrations docker *.py
|
||||
- name: Check lint
|
||||
run: |
|
||||
ruff check frigate migrations docker *.py
|
||||
|
||||
@ -87,7 +84,7 @@ jobs:
|
||||
name: Python Tests
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v3
|
||||
uses: actions/checkout@v4
|
||||
- uses: actions/setup-node@master
|
||||
with:
|
||||
node-version: 16.x
|
||||
@ -97,9 +94,9 @@ jobs:
|
||||
run: npm run build
|
||||
working-directory: ./web
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v2
|
||||
uses: docker/setup-qemu-action@v3
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v2
|
||||
uses: docker/setup-buildx-action@v3
|
||||
- name: Build
|
||||
run: make
|
||||
- name: Run mypy
|
||||
|
||||
37
.github/workflows/release.yml
vendored
Normal file
37
.github/workflows/release.yml
vendored
Normal file
@ -0,0 +1,37 @@
|
||||
name: On release
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
release:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v6
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Create tag variables
|
||||
run: |
|
||||
BRANCH=$([[ "${{ github.ref_name }}" =~ ^v[0-9]+\.[0-9]+\.[0-9]+$ ]] && echo "master" || echo "dev")
|
||||
echo "BASE=ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}" >> $GITHUB_ENV
|
||||
echo "BUILD_TAG=${BRANCH}-${GITHUB_SHA::7}" >> $GITHUB_ENV
|
||||
echo "CLEAN_VERSION=$(echo ${GITHUB_REF##*/} | tr '[:upper:]' '[:lower:]' | sed 's/^[v]//')" >> $GITHUB_ENV
|
||||
- name: Tag and push the main image
|
||||
run: |
|
||||
VERSION_TAG=${BASE}:${CLEAN_VERSION}
|
||||
PULL_TAG=${BASE}:${BUILD_TAG}
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${VERSION_TAG}
|
||||
for variant in standard-arm64 tensorrt tensorrt-jp4 tensorrt-jp5 rk; do
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${VERSION_TAG}-${variant}
|
||||
done
|
||||
6
CODEOWNERS
Normal file
6
CODEOWNERS
Normal file
@ -0,0 +1,6 @@
|
||||
# Community-supported boards
|
||||
/docker/tensorrt/ @madsciencetist @NateMeyer
|
||||
/docker/tensorrt/*arm64* @madsciencetist
|
||||
/docker/tensorrt/*jetson* @madsciencetist
|
||||
|
||||
/docker/rockchip/ @MarcA711
|
||||
25
Makefile
25
Makefile
@ -3,31 +3,34 @@ default_target: local
|
||||
COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
|
||||
VERSION = 0.13.0
|
||||
IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
|
||||
GITHUB_REF_NAME ?= $(shell git rev-parse --abbrev-ref HEAD)
|
||||
CURRENT_UID := $(shell id -u)
|
||||
CURRENT_GID := $(shell id -g)
|
||||
BOARDS= #Initialized empty
|
||||
|
||||
include docker/*/*.mk
|
||||
|
||||
build-boards: $(BOARDS:%=build-%)
|
||||
|
||||
push-boards: $(BOARDS:%=push-%)
|
||||
|
||||
version:
|
||||
echo 'VERSION = "$(VERSION)-$(COMMIT_HASH)"' > frigate/version.py
|
||||
|
||||
local: version
|
||||
docker buildx build --target=frigate --tag frigate:latest --load .
|
||||
|
||||
local-trt: version
|
||||
docker buildx build --target=frigate-tensorrt --tag frigate:latest-tensorrt --load .
|
||||
docker buildx build --target=frigate --tag frigate:latest --load --file docker/main/Dockerfile .
|
||||
|
||||
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 .
|
||||
docker buildx build --platform linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) --file docker/main/Dockerfile .
|
||||
|
||||
arm64:
|
||||
docker buildx build --platform linux/arm64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
|
||||
docker buildx build --platform linux/arm64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) --file docker/main/Dockerfile .
|
||||
|
||||
build: version amd64 arm64
|
||||
docker buildx build --platform linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
|
||||
docker buildx build --platform linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) --file docker/main/Dockerfile .
|
||||
|
||||
push: build
|
||||
docker buildx build --push --platform 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 .
|
||||
push: push-boards
|
||||
docker buildx build --push --platform linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH) --file docker/main/Dockerfile .
|
||||
|
||||
run: local
|
||||
docker run --rm --publish=5000:5000 --volume=${PWD}/config:/config frigate:latest
|
||||
|
||||
@ -11,15 +11,19 @@ services:
|
||||
shm_size: "256mb"
|
||||
build:
|
||||
context: .
|
||||
dockerfile: docker/main/Dockerfile
|
||||
# Use target devcontainer-trt for TensorRT dev
|
||||
target: devcontainer
|
||||
deploy:
|
||||
resources:
|
||||
reservations:
|
||||
devices:
|
||||
- driver: nvidia
|
||||
count: 1
|
||||
capabilities: [gpu]
|
||||
## Uncomment this block for nvidia gpu support
|
||||
# deploy:
|
||||
# resources:
|
||||
# reservations:
|
||||
# devices:
|
||||
# - driver: nvidia
|
||||
# count: 1
|
||||
# capabilities: [gpu]
|
||||
environment:
|
||||
YOLO_MODELS: yolov7-320
|
||||
devices:
|
||||
- /dev/bus/usb:/dev/bus/usb
|
||||
# - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
|
||||
@ -29,8 +33,6 @@ services:
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
- ./config:/config
|
||||
- ./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
|
||||
mqtt:
|
||||
container_name: mqtt
|
||||
|
||||
@ -1,13 +1,16 @@
|
||||
# syntax=docker/dockerfile:1.2
|
||||
# syntax=docker/dockerfile:1.6
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
FROM debian:11 AS base
|
||||
ARG BASE_IMAGE=debian:11
|
||||
ARG SLIM_BASE=debian:11-slim
|
||||
|
||||
FROM --platform=linux/amd64 debian:11 AS base_amd64
|
||||
FROM ${BASE_IMAGE} AS base
|
||||
|
||||
FROM debian:11-slim AS slim-base
|
||||
FROM --platform=${BUILDPLATFORM} debian:11 AS base_host
|
||||
|
||||
FROM ${SLIM_BASE} AS slim-base
|
||||
|
||||
FROM slim-base AS wget
|
||||
ARG DEBIAN_FRONTEND
|
||||
@ -23,15 +26,14 @@ ENV CCACHE_MAXSIZE 2G
|
||||
|
||||
# bind /var/cache/apt to tmpfs to speed up nginx build
|
||||
RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
|
||||
--mount=type=bind,source=docker/build_nginx.sh,target=/deps/build_nginx.sh \
|
||||
--mount=type=bind,source=docker/main/build_nginx.sh,target=/deps/build_nginx.sh \
|
||||
--mount=type=cache,target=/root/.ccache \
|
||||
/deps/build_nginx.sh
|
||||
|
||||
FROM wget AS go2rtc
|
||||
FROM scratch AS go2rtc
|
||||
ARG TARGETARCH
|
||||
WORKDIR /rootfs/usr/local/go2rtc/bin
|
||||
RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v1.5.0/go2rtc_linux_${TARGETARCH}" \
|
||||
&& chmod +x go2rtc
|
||||
ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.8.4/go2rtc_linux_${TARGETARCH}" go2rtc
|
||||
|
||||
|
||||
####
|
||||
@ -43,11 +45,11 @@ RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v1.5.0/
|
||||
#
|
||||
####
|
||||
# Download and Convert OpenVino model
|
||||
FROM base_amd64 AS ov-converter
|
||||
FROM base_host AS ov-converter
|
||||
ARG DEBIAN_FRONTEND
|
||||
|
||||
# Install OpenVino Runtime and Dev library
|
||||
COPY requirements-ov.txt /requirements-ov.txt
|
||||
COPY docker/main/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 \
|
||||
@ -69,22 +71,22 @@ ENV CCACHE_MAXSIZE 2G
|
||||
|
||||
# Build libUSB without udev. Needed for Openvino NCS2 support
|
||||
WORKDIR /opt
|
||||
RUN apt-get update && apt-get install -y unzip build-essential automake libtool ccache
|
||||
RUN --mount=type=cache,target=/root/.ccache 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 && \
|
||||
RUN apt-get update && apt-get install -y unzip build-essential automake libtool ccache pkg-config
|
||||
RUN --mount=type=cache,target=/root/.ccache wget -q https://github.com/libusb/libusb/archive/v1.0.26.zip -O v1.0.26.zip && \
|
||||
unzip v1.0.26.zip && cd libusb-1.0.26 && \
|
||||
./bootstrap.sh && \
|
||||
./configure CC='ccache gcc' CCX='ccache g++' --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
|
||||
WORKDIR /opt/libusb-1.0.26/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/ && \
|
||||
cd /opt/libusb-1.0.26/ && \
|
||||
/usr/bin/install -c -m 644 libusb-1.0.pc '/usr/local/lib/pkgconfig' && \
|
||||
ldconfig
|
||||
|
||||
@ -105,7 +107,7 @@ COPY audio-labelmap.txt .
|
||||
|
||||
FROM wget AS s6-overlay
|
||||
ARG TARGETARCH
|
||||
RUN --mount=type=bind,source=docker/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
|
||||
RUN --mount=type=bind,source=docker/main/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
|
||||
/deps/install_s6_overlay.sh
|
||||
|
||||
|
||||
@ -119,13 +121,15 @@ RUN apt-get -qq update \
|
||||
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 \
|
||||
# the key fingerprint can be obtained from https://ftp-master.debian.org/keys.html
|
||||
&& wget -qO- "https://keyserver.ubuntu.com/pks/lookup?op=get&search=0xA4285295FC7B1A81600062A9605C66F00D6C9793" | \
|
||||
gpg --dearmor > /usr/share/keyrings/debian-archive-bullseye-stable.gpg \
|
||||
&& echo "deb [signed-by=/usr/share/keyrings/debian-archive-bullseye-stable.gpg] http://deb.debian.org/debian bullseye main contrib non-free" | \
|
||||
tee /etc/apt/sources.list.d/debian-bullseye-nonfree.list \
|
||||
&& apt-get -qq update \
|
||||
&& apt-get -qq install -y \
|
||||
python3 \
|
||||
python3-dev \
|
||||
wget \
|
||||
python3.9 \
|
||||
python3.9-dev \
|
||||
# opencv dependencies
|
||||
build-essential cmake git pkg-config libgtk-3-dev \
|
||||
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
|
||||
@ -134,28 +138,20 @@ RUN apt-get -qq update \
|
||||
libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
|
||||
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
|
||||
# scipy dependencies
|
||||
gcc gfortran libopenblas-dev liblapack-dev \
|
||||
# faster-fifo dependencies
|
||||
g++ cython3 && \
|
||||
gcc gfortran libopenblas-dev liblapack-dev && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Ensure python3 defaults to python3.9
|
||||
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
|
||||
|
||||
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
|
||||
&& python3 get-pip.py "pip"
|
||||
|
||||
COPY requirements.txt /requirements.txt
|
||||
RUN pip3 install -r requirements.txt
|
||||
COPY docker/main/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
|
||||
COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
|
||||
RUN pip3 wheel --wheel-dir=/wheels -r /requirements-wheels.txt
|
||||
|
||||
|
||||
# Collect deps in a single layer
|
||||
@ -165,7 +161,7 @@ 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/ /
|
||||
COPY docker/main/rootfs/ /
|
||||
|
||||
|
||||
# Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
|
||||
@ -183,10 +179,11 @@ 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 \
|
||||
RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
|
||||
/deps/install_deps.sh
|
||||
|
||||
RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
|
||||
python3 -m pip install --upgrade pip && \
|
||||
pip3 install -U /deps/wheels/*.whl
|
||||
|
||||
COPY --from=deps-rootfs / /
|
||||
@ -204,24 +201,27 @@ ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
|
||||
ENTRYPOINT ["/init"]
|
||||
CMD []
|
||||
|
||||
HEALTHCHECK --start-period=120s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
|
||||
CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
|
||||
|
||||
# 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/s6-overlay/s6-rc.d/frigate/run
|
||||
COPY docker/main/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
|
||||
|
||||
# Create symbolic link to the frigate source code, as go2rtc's create_config.sh uses it
|
||||
RUN mkdir -p /opt/frigate \
|
||||
&& ln -svf /workspace/frigate/frigate /opt/frigate/frigate
|
||||
|
||||
# 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 \
|
||||
# Install Node 20
|
||||
RUN curl -SLO https://deb.nodesource.com/nsolid_setup_deb.sh && \
|
||||
chmod 500 nsolid_setup_deb.sh && \
|
||||
./nsolid_setup_deb.sh 20 && \
|
||||
apt-get install nodejs -y \
|
||||
&& rm -rf /var/lib/apt/lists/* \
|
||||
&& npm install -g npm@9
|
||||
&& npm install -g npm@10
|
||||
|
||||
WORKDIR /workspace/frigate
|
||||
|
||||
@ -229,7 +229,7 @@ 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 \
|
||||
RUN --mount=type=bind,source=./docker/main/requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
|
||||
pip3 install -r requirements-dev.txt
|
||||
|
||||
CMD ["sleep", "infinity"]
|
||||
@ -261,36 +261,3 @@ FROM deps AS frigate
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
|
||||
# Build TensorRT-specific library
|
||||
FROM nvcr.io/nvidia/tensorrt:23.03-py3 AS trt-deps
|
||||
|
||||
RUN --mount=type=bind,source=docker/support/tensorrt_detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
|
||||
/tensorrt_libyolo.sh
|
||||
|
||||
# Frigate w/ TensorRT Support as separate image
|
||||
FROM frigate AS frigate-tensorrt
|
||||
|
||||
#Disable S6 Global timeout
|
||||
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
|
||||
|
||||
ENV TRT_VER=8.5.3
|
||||
ENV YOLO_MODELS="yolov7-tiny-416"
|
||||
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
|
||||
COPY docker/support/tensorrt_detector/rootfs/ /
|
||||
|
||||
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
|
||||
pip3 install -U /deps/trt-wheels/*.whl && \
|
||||
ldconfig
|
||||
|
||||
# Dev Container w/ TRT
|
||||
FROM devcontainer AS devcontainer-trt
|
||||
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
|
||||
COPY docker/support/tensorrt_detector/rootfs/ /
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
|
||||
pip3 install -U /deps/trt-wheels/*.whl
|
||||
@ -2,7 +2,7 @@
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
NGINX_VERSION="1.25.1"
|
||||
NGINX_VERSION="1.25.3"
|
||||
VOD_MODULE_VERSION="1.31"
|
||||
SECURE_TOKEN_MODULE_VERSION="1.5"
|
||||
RTMP_MODULE_VERSION="1.2.2"
|
||||
@ -10,11 +10,15 @@ apt-get -qq install --no-install-recommends -y \
|
||||
wget \
|
||||
procps vainfo \
|
||||
unzip locales tzdata libxml2 xz-utils \
|
||||
python3.9 \
|
||||
python3-pip \
|
||||
curl \
|
||||
jq \
|
||||
nethogs
|
||||
|
||||
# ensure python3 defaults to python3.9
|
||||
update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
|
||||
|
||||
mkdir -p -m 600 /root/.gnupg
|
||||
|
||||
# add coral repo
|
||||
@ -23,8 +27,10 @@ curl -fsSLo - https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
|
||||
echo "deb 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
|
||||
# enable non-free repo in Debian
|
||||
if grep -q "Debian" /etc/issue; then
|
||||
sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
|
||||
fi
|
||||
|
||||
# coral drivers
|
||||
apt-get -qq update
|
||||
@ -41,26 +47,24 @@ fi
|
||||
|
||||
# ffmpeg -> arm64
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
# add raspberry pi repo
|
||||
gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 82B129927FA3303E
|
||||
echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] https://archive.raspberrypi.org/debian/ bullseye main" | tee /etc/apt/sources.list.d/raspi.list
|
||||
apt-get -qq update
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
|
||||
mkdir -p /usr/lib/btbn-ffmpeg
|
||||
wget -qO btbn-ffmpeg.tar.xz "https://github.com/BtbN/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
|
||||
tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/btbn-ffmpeg --strip-components 1
|
||||
rm -rf btbn-ffmpeg.tar.xz /usr/lib/btbn-ffmpeg/doc /usr/lib/btbn-ffmpeg/bin/ffplay
|
||||
fi
|
||||
|
||||
# arch specific packages
|
||||
if [[ "${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
|
||||
# use debian bookworm for hwaccel packages
|
||||
echo 'deb https://deb.debian.org/debian bookworm main contrib non-free' >/etc/apt/sources.list.d/debian-bookworm.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
|
||||
mesa-va-drivers radeontop libva-drm2 intel-media-va-driver-non-free i965-va-driver libmfx1 intel-gpu-tools
|
||||
# something about this dependency requires it to be installed in a separate call rather than in the line above
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y \
|
||||
i965-va-driver-shaders
|
||||
rm -f /etc/apt/sources.list.d/debian-testing.list
|
||||
rm -f /etc/apt/sources.list.d/debian-bookworm.list
|
||||
fi
|
||||
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
@ -2,7 +2,7 @@
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
s6_version="3.1.4.1"
|
||||
s6_version="3.1.5.0"
|
||||
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
s6_arch="x86_64"
|
||||
1
docker/main/requirements-dev.txt
Normal file
1
docker/main/requirements-dev.txt
Normal file
@ -0,0 +1 @@
|
||||
ruff
|
||||
5
docker/main/requirements-ov.txt
Normal file
5
docker/main/requirements-ov.txt
Normal file
@ -0,0 +1,5 @@
|
||||
numpy
|
||||
# Openvino Library - Custom built with MYRIAD support
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
|
||||
openvino-dev[tensorflow2] @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino_dev-2022.3.1-1-py3-none-any.whl
|
||||
@ -1,29 +1,29 @@
|
||||
click == 8.1.*
|
||||
Flask == 2.3.*
|
||||
faster-fifo == 1.4.*
|
||||
imutils == 0.5.*
|
||||
matplotlib == 3.7.*
|
||||
mypy == 1.4.1
|
||||
mypy == 1.6.1
|
||||
numpy == 1.23.*
|
||||
onvif_zeep == 0.2.12
|
||||
opencv-python-headless == 4.7.0.*
|
||||
paho-mqtt == 1.6.*
|
||||
peewee == 3.16.*
|
||||
peewee_migrate == 1.11.*
|
||||
peewee == 3.17.*
|
||||
peewee_migrate == 1.12.*
|
||||
psutil == 5.9.*
|
||||
pydantic == 1.10.*
|
||||
git+https://github.com/fbcotter/py3nvml#egg=py3nvml
|
||||
PyYAML == 6.0
|
||||
pytz == 2023.3
|
||||
ruamel.yaml == 0.17.*
|
||||
tzlocal == 5.0.*
|
||||
PyYAML == 6.0.*
|
||||
pytz == 2023.3.post1
|
||||
ruamel.yaml == 0.18.*
|
||||
tzlocal == 5.2
|
||||
types-PyYAML == 6.0.*
|
||||
requests == 2.31.*
|
||||
types-requests == 2.31.*
|
||||
scipy == 1.10.*
|
||||
scipy == 1.11.*
|
||||
norfair == 2.2.*
|
||||
setproctitle == 1.3.*
|
||||
ws4py == 0.5.*
|
||||
unidecode == 1.3.*
|
||||
# Openvino Library - Custom built with MYRIAD support
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.2.0/openvino-2022.2.0-000-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.2.0/openvino-2022.2.0-000-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
|
||||
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
|
||||
@ -45,8 +45,13 @@ function get_ip_and_port_from_supervisor() {
|
||||
|
||||
export LIBAVFORMAT_VERSION_MAJOR=$(ffmpeg -version | grep -Po 'libavformat\W+\K\d+')
|
||||
|
||||
if [[ -f "/dev/shm/go2rtc.yaml" ]]; then
|
||||
echo "[INFO] Removing stale config from last run..."
|
||||
rm /dev/shm/go2rtc.yaml
|
||||
fi
|
||||
|
||||
if [[ ! -f "/dev/shm/go2rtc.yaml" ]]; then
|
||||
echo "[INFO] Preparing go2rtc config..."
|
||||
echo "[INFO] Preparing new go2rtc config..."
|
||||
|
||||
if [[ -n "${SUPERVISOR_TOKEN:-}" ]]; then
|
||||
# Running as a Home Assistant add-on, infer the IP address and port
|
||||
@ -54,6 +59,8 @@ if [[ ! -f "/dev/shm/go2rtc.yaml" ]]; then
|
||||
fi
|
||||
|
||||
python3 /usr/local/go2rtc/create_config.py
|
||||
else
|
||||
echo "[WARNING] Unable to remove existing go2rtc config. Changes made to your frigate config file may not be recognized. Please remove the /dev/shm/go2rtc.yaml from your docker host manually."
|
||||
fi
|
||||
|
||||
readonly config_path="/config"
|
||||
@ -3,6 +3,7 @@
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import yaml
|
||||
|
||||
@ -16,6 +17,14 @@ sys.path.remove("/opt/frigate")
|
||||
|
||||
|
||||
FRIGATE_ENV_VARS = {k: v for k, v in os.environ.items() if k.startswith("FRIGATE_")}
|
||||
# read docker secret files as env vars too
|
||||
if os.path.isdir("/run/secrets"):
|
||||
for secret_file in os.listdir("/run/secrets"):
|
||||
if secret_file.startswith("FRIGATE_"):
|
||||
FRIGATE_ENV_VARS[secret_file] = Path(
|
||||
os.path.join("/run/secrets", secret_file)
|
||||
).read_text()
|
||||
|
||||
config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
|
||||
|
||||
# Check if we can use .yaml instead of .yml
|
||||
@ -39,13 +48,25 @@ if go2rtc_config.get("api") is None:
|
||||
elif go2rtc_config["api"].get("origin") is None:
|
||||
go2rtc_config["api"]["origin"] = "*"
|
||||
|
||||
# Need to set default location for HA config
|
||||
if go2rtc_config.get("hass") is None:
|
||||
go2rtc_config["hass"] = {"config": "/config"}
|
||||
|
||||
# we want to ensure that logs are easy to read
|
||||
if go2rtc_config.get("log") is None:
|
||||
go2rtc_config["log"] = {"format": "text"}
|
||||
elif go2rtc_config["log"].get("format") is None:
|
||||
go2rtc_config["log"]["format"] = "text"
|
||||
|
||||
if not go2rtc_config.get("webrtc", {}).get("candidates", []):
|
||||
# ensure there is a default webrtc config
|
||||
if not go2rtc_config.get("webrtc"):
|
||||
go2rtc_config["webrtc"] = {}
|
||||
|
||||
# go2rtc should listen on 8555 tcp & udp by default
|
||||
if not go2rtc_config["webrtc"].get("listen"):
|
||||
go2rtc_config["webrtc"]["listen"] = ":8555"
|
||||
|
||||
if not go2rtc_config["webrtc"].get("candidates", []):
|
||||
default_candidates = []
|
||||
# use internal candidate if it was discovered when running through the add-on
|
||||
internal_candidate = os.environ.get(
|
||||
@ -67,8 +88,19 @@ else:
|
||||
# as source for frigate and the integration supports HLS playback
|
||||
if go2rtc_config.get("rtsp") is None:
|
||||
go2rtc_config["rtsp"] = {"default_query": "mp4"}
|
||||
elif go2rtc_config["rtsp"].get("default_query") is None:
|
||||
go2rtc_config["rtsp"]["default_query"] = "mp4"
|
||||
else:
|
||||
if go2rtc_config["rtsp"].get("default_query") is None:
|
||||
go2rtc_config["rtsp"]["default_query"] = "mp4"
|
||||
|
||||
if go2rtc_config["rtsp"].get("username") is not None:
|
||||
go2rtc_config["rtsp"]["username"] = go2rtc_config["rtsp"]["username"].format(
|
||||
**FRIGATE_ENV_VARS
|
||||
)
|
||||
|
||||
if go2rtc_config["rtsp"].get("password") is not None:
|
||||
go2rtc_config["rtsp"]["password"] = go2rtc_config["rtsp"]["password"].format(
|
||||
**FRIGATE_ENV_VARS
|
||||
)
|
||||
|
||||
# need to replace ffmpeg command when using ffmpeg4
|
||||
if int(os.environ["LIBAVFORMAT_VERSION_MAJOR"]) < 59:
|
||||
@ -81,16 +113,43 @@ if int(os.environ["LIBAVFORMAT_VERSION_MAJOR"]) < 59:
|
||||
"rtsp"
|
||||
] = "-fflags nobuffer -flags low_delay -stimeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_transport tcp -i {input}"
|
||||
|
||||
# add hardware acceleration presets for rockchip devices
|
||||
# may be removed if frigate uses a go2rtc version that includes these presets
|
||||
if go2rtc_config.get("ffmpeg") is None:
|
||||
go2rtc_config["ffmpeg"] = {
|
||||
"h264/rk": "-c:v h264_rkmpp_encoder -g 50 -bf 0",
|
||||
"h265/rk": "-c:v hevc_rkmpp_encoder -g 50 -bf 0",
|
||||
}
|
||||
else:
|
||||
if go2rtc_config["ffmpeg"].get("h264/rk") is None:
|
||||
go2rtc_config["ffmpeg"]["h264/rk"] = "-c:v h264_rkmpp_encoder -g 50 -bf 0"
|
||||
|
||||
if go2rtc_config["ffmpeg"].get("h265/rk") is None:
|
||||
go2rtc_config["ffmpeg"]["h265/rk"] = "-c:v hevc_rkmpp_encoder -g 50 -bf 0"
|
||||
|
||||
for name in go2rtc_config.get("streams", {}):
|
||||
stream = go2rtc_config["streams"][name]
|
||||
|
||||
if isinstance(stream, str):
|
||||
go2rtc_config["streams"][name] = go2rtc_config["streams"][name].format(
|
||||
**FRIGATE_ENV_VARS
|
||||
)
|
||||
try:
|
||||
go2rtc_config["streams"][name] = go2rtc_config["streams"][name].format(
|
||||
**FRIGATE_ENV_VARS
|
||||
)
|
||||
except KeyError as e:
|
||||
print(
|
||||
"[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
|
||||
)
|
||||
sys.exit(e)
|
||||
|
||||
elif isinstance(stream, list):
|
||||
for i, stream in enumerate(stream):
|
||||
go2rtc_config["streams"][name][i] = stream.format(**FRIGATE_ENV_VARS)
|
||||
try:
|
||||
go2rtc_config["streams"][name][i] = stream.format(**FRIGATE_ENV_VARS)
|
||||
except KeyError as e:
|
||||
print(
|
||||
"[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
|
||||
)
|
||||
sys.exit(e)
|
||||
|
||||
# add birdseye restream stream if enabled
|
||||
if config.get("birdseye", {}).get("restream", False):
|
||||
@ -32,6 +32,13 @@ http {
|
||||
gzip_proxied no-cache no-store private expired auth;
|
||||
gzip_vary on;
|
||||
|
||||
proxy_cache_path /dev/shm/nginx_cache levels=1:2 keys_zone=api_cache:10m max_size=10m inactive=1m use_temp_path=off;
|
||||
|
||||
map $sent_http_content_type $should_not_cache {
|
||||
'application/json' 0;
|
||||
default 1;
|
||||
}
|
||||
|
||||
upstream frigate_api {
|
||||
server 127.0.0.1:5001;
|
||||
keepalive 1024;
|
||||
@ -93,10 +100,6 @@ http {
|
||||
secure_token $args;
|
||||
secure_token_types application/vnd.apple.mpegurl;
|
||||
|
||||
add_header Access-Control-Allow-Headers '*';
|
||||
add_header Access-Control-Expose-Headers 'Server,range,Content-Length,Content-Range';
|
||||
add_header Access-Control-Allow-Methods 'GET, HEAD, OPTIONS';
|
||||
add_header Access-Control-Allow-Origin '*';
|
||||
add_header Cache-Control "no-store";
|
||||
expires off;
|
||||
}
|
||||
@ -104,16 +107,6 @@ http {
|
||||
location /stream/ {
|
||||
add_header Cache-Control "no-store";
|
||||
expires off;
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
|
||||
add_header 'Access-Control-Allow-Credentials' 'true';
|
||||
add_header 'Access-Control-Expose-Headers' 'Content-Length';
|
||||
if ($request_method = 'OPTIONS') {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin";
|
||||
add_header 'Access-Control-Max-Age' 1728000;
|
||||
add_header 'Content-Type' 'text/plain charset=UTF-8';
|
||||
add_header 'Content-Length' 0;
|
||||
return 204;
|
||||
}
|
||||
|
||||
types {
|
||||
application/dash+xml mpd;
|
||||
@ -126,16 +119,6 @@ http {
|
||||
}
|
||||
|
||||
location /clips/ {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
|
||||
add_header 'Access-Control-Allow-Credentials' 'true';
|
||||
add_header 'Access-Control-Expose-Headers' 'Content-Length';
|
||||
if ($request_method = 'OPTIONS') {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin";
|
||||
add_header 'Access-Control-Max-Age' 1728000;
|
||||
add_header 'Content-Type' 'text/plain charset=UTF-8';
|
||||
add_header 'Content-Length' 0;
|
||||
return 204;
|
||||
}
|
||||
|
||||
types {
|
||||
video/mp4 mp4;
|
||||
@ -152,17 +135,6 @@ http {
|
||||
}
|
||||
|
||||
location /recordings/ {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
|
||||
add_header 'Access-Control-Allow-Credentials' 'true';
|
||||
add_header 'Access-Control-Expose-Headers' 'Content-Length';
|
||||
if ($request_method = 'OPTIONS') {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin";
|
||||
add_header 'Access-Control-Max-Age' 1728000;
|
||||
add_header 'Content-Type' 'text/plain charset=UTF-8';
|
||||
add_header 'Content-Length' 0;
|
||||
return 204;
|
||||
}
|
||||
|
||||
types {
|
||||
video/mp4 mp4;
|
||||
}
|
||||
@ -173,17 +145,6 @@ http {
|
||||
}
|
||||
|
||||
location /exports/ {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
|
||||
add_header 'Access-Control-Allow-Credentials' 'true';
|
||||
add_header 'Access-Control-Expose-Headers' 'Content-Length';
|
||||
if ($request_method = 'OPTIONS') {
|
||||
add_header 'Access-Control-Allow-Origin' "$http_origin";
|
||||
add_header 'Access-Control-Max-Age' 1728000;
|
||||
add_header 'Content-Type' 'text/plain charset=UTF-8';
|
||||
add_header 'Content-Length' 0;
|
||||
return 204;
|
||||
}
|
||||
|
||||
types {
|
||||
video/mp4 mp4;
|
||||
}
|
||||
@ -195,68 +156,69 @@ http {
|
||||
|
||||
location /ws {
|
||||
proxy_pass http://mqtt_ws/;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Upgrade $http_upgrade;
|
||||
proxy_set_header Connection "Upgrade";
|
||||
proxy_set_header Host $host;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
location /live/jsmpeg/ {
|
||||
proxy_pass http://jsmpeg/;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Upgrade $http_upgrade;
|
||||
proxy_set_header Connection "Upgrade";
|
||||
proxy_set_header Host $host;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
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;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
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 $host;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
location ~* /api/go2rtc([/]?.*)$ {
|
||||
proxy_pass http://go2rtc;
|
||||
rewrite ^/api/go2rtc(.*)$ /api$1 break;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Upgrade $http_upgrade;
|
||||
proxy_set_header Connection "Upgrade";
|
||||
proxy_set_header Host $host;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
location ~* /api/.*\.(jpg|jpeg|png)$ {
|
||||
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;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
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';
|
||||
add_header 'Access-Control-Allow-Headers' 'DNT,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Range';
|
||||
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;
|
||||
include proxy.conf;
|
||||
|
||||
proxy_cache api_cache;
|
||||
proxy_cache_lock on;
|
||||
proxy_cache_use_stale updating;
|
||||
proxy_cache_valid 200 5s;
|
||||
proxy_cache_bypass $http_x_cache_bypass;
|
||||
proxy_no_cache $should_not_cache;
|
||||
add_header X-Cache-Status $upstream_cache_status;
|
||||
|
||||
location /api/vod/ {
|
||||
proxy_pass http://frigate_api/vod/;
|
||||
include proxy.conf;
|
||||
proxy_cache off;
|
||||
}
|
||||
|
||||
location /api/stats {
|
||||
access_log off;
|
||||
rewrite ^/api/(.*)$ $1 break;
|
||||
proxy_pass http://frigate_api;
|
||||
include proxy.conf;
|
||||
}
|
||||
|
||||
location /api/version {
|
||||
access_log off;
|
||||
rewrite ^/api/(.*)$ $1 break;
|
||||
proxy_pass http://frigate_api;
|
||||
include proxy.conf;
|
||||
}
|
||||
}
|
||||
|
||||
location / {
|
||||
4
docker/main/rootfs/usr/local/nginx/conf/proxy.conf
Normal file
4
docker/main/rootfs/usr/local/nginx/conf/proxy.conf
Normal file
@ -0,0 +1,4 @@
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Upgrade $http_upgrade;
|
||||
proxy_set_header Connection "Upgrade";
|
||||
proxy_set_header Host $host;
|
||||
32
docker/rockchip/Dockerfile
Normal file
32
docker/rockchip/Dockerfile
Normal file
@ -0,0 +1,32 @@
|
||||
# syntax=docker/dockerfile:1.6
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
FROM wheels as rk-wheels
|
||||
COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
|
||||
COPY docker/rockchip/requirements-wheels-rk.txt /requirements-wheels-rk.txt
|
||||
RUN sed -i "/https:\/\//d" /requirements-wheels.txt
|
||||
RUN pip3 wheel --wheel-dir=/rk-wheels -c /requirements-wheels.txt -r /requirements-wheels-rk.txt
|
||||
|
||||
FROM deps AS rk-deps
|
||||
ARG TARGETARCH
|
||||
|
||||
RUN --mount=type=bind,from=rk-wheels,source=/rk-wheels,target=/deps/rk-wheels \
|
||||
pip3 install -U /deps/rk-wheels/*.whl
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
|
||||
ADD https://github.com/MarcA711/rknpu2/releases/download/v1.5.2/librknnrt_rk356x.so /usr/lib/
|
||||
ADD https://github.com/MarcA711/rknpu2/releases/download/v1.5.2/librknnrt_rk3588.so /usr/lib/
|
||||
|
||||
ADD https://github.com/MarcA711/rknn-models/releases/download/v1.5.2-rk3562/yolov8n-320x320-rk3562.rknn /models/rknn/
|
||||
ADD https://github.com/MarcA711/rknn-models/releases/download/v1.5.2-rk3566/yolov8n-320x320-rk3566.rknn /models/rknn/
|
||||
ADD https://github.com/MarcA711/rknn-models/releases/download/v1.5.2-rk3568/yolov8n-320x320-rk3568.rknn /models/rknn/
|
||||
ADD https://github.com/MarcA711/rknn-models/releases/download/v1.5.2-rk3588/yolov8n-320x320-rk3588.rknn /models/rknn/
|
||||
|
||||
RUN rm -rf /usr/lib/btbn-ffmpeg/bin/ffmpeg
|
||||
RUN rm -rf /usr/lib/btbn-ffmpeg/bin/ffprobe
|
||||
ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.0-1/ffmpeg /usr/lib/btbn-ffmpeg/bin/
|
||||
ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.0-1/ffprobe /usr/lib/btbn-ffmpeg/bin/
|
||||
2
docker/rockchip/requirements-wheels-rk.txt
Normal file
2
docker/rockchip/requirements-wheels-rk.txt
Normal file
@ -0,0 +1,2 @@
|
||||
hide-warnings == 0.17
|
||||
rknn-toolkit-lite2 @ https://github.com/MarcA711/rknn-toolkit2/releases/download/v1.5.2/rknn_toolkit_lite2-1.5.2-cp39-cp39-linux_aarch64.whl
|
||||
34
docker/rockchip/rk.hcl
Normal file
34
docker/rockchip/rk.hcl
Normal file
@ -0,0 +1,34 @@
|
||||
target wget {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "wget"
|
||||
}
|
||||
|
||||
target wheels {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "wheels"
|
||||
}
|
||||
|
||||
target deps {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "deps"
|
||||
}
|
||||
|
||||
target rootfs {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "rootfs"
|
||||
}
|
||||
|
||||
target rk {
|
||||
dockerfile = "docker/rockchip/Dockerfile"
|
||||
contexts = {
|
||||
wget = "target:wget",
|
||||
wheels = "target:wheels",
|
||||
deps = "target:deps",
|
||||
rootfs = "target:rootfs"
|
||||
}
|
||||
platforms = ["linux/arm64"]
|
||||
}
|
||||
10
docker/rockchip/rk.mk
Normal file
10
docker/rockchip/rk.mk
Normal file
@ -0,0 +1,10 @@
|
||||
BOARDS += rk
|
||||
|
||||
local-rk: version
|
||||
docker buildx bake --load --file=docker/rockchip/rk.hcl --set rk.tags=frigate:latest-rk rk
|
||||
|
||||
build-rk: version
|
||||
docker buildx bake --file=docker/rockchip/rk.hcl --set rk.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rk rk
|
||||
|
||||
push-rk: build-rk
|
||||
docker buildx bake --push --file=docker/rockchip/rk.hcl --set rk.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rk rk
|
||||
16
docker/rpi/Dockerfile
Normal file
16
docker/rpi/Dockerfile
Normal file
@ -0,0 +1,16 @@
|
||||
# syntax=docker/dockerfile:1.4
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
FROM deps AS rpi-deps
|
||||
ARG TARGETARCH
|
||||
|
||||
RUN rm -rf /usr/lib/btbn-ffmpeg/
|
||||
|
||||
# Install dependencies
|
||||
RUN --mount=type=bind,source=docker/rpi/install_deps.sh,target=/deps/install_deps.sh \
|
||||
/deps/install_deps.sh
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
30
docker/rpi/install_deps.sh
Executable file
30
docker/rpi/install_deps.sh
Executable file
@ -0,0 +1,30 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
apt-get -qq update
|
||||
|
||||
apt-get -qq install --no-install-recommends -y \
|
||||
apt-transport-https \
|
||||
gnupg \
|
||||
wget \
|
||||
procps vainfo \
|
||||
unzip locales tzdata libxml2 xz-utils \
|
||||
python3-pip \
|
||||
curl \
|
||||
jq \
|
||||
nethogs
|
||||
|
||||
mkdir -p -m 600 /root/.gnupg
|
||||
|
||||
# enable non-free repo
|
||||
sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
|
||||
|
||||
# ffmpeg -> arm64
|
||||
if [[ "${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
|
||||
20
docker/rpi/rpi.hcl
Normal file
20
docker/rpi/rpi.hcl
Normal file
@ -0,0 +1,20 @@
|
||||
target deps {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "deps"
|
||||
}
|
||||
|
||||
target rootfs {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/arm64"]
|
||||
target = "rootfs"
|
||||
}
|
||||
|
||||
target rpi {
|
||||
dockerfile = "docker/rpi/Dockerfile"
|
||||
contexts = {
|
||||
deps = "target:deps",
|
||||
rootfs = "target:rootfs"
|
||||
}
|
||||
platforms = ["linux/arm64"]
|
||||
}
|
||||
10
docker/rpi/rpi.mk
Normal file
10
docker/rpi/rpi.mk
Normal file
@ -0,0 +1,10 @@
|
||||
BOARDS += rpi
|
||||
|
||||
local-rpi: version
|
||||
docker buildx bake --load --file=docker/rpi/rpi.hcl --set rpi.tags=frigate:latest-rpi rpi
|
||||
|
||||
build-rpi: version
|
||||
docker buildx bake --file=docker/rpi/rpi.hcl --set rpi.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rpi rpi
|
||||
|
||||
push-rpi: build-rpi
|
||||
docker buildx bake --push --file=docker/rpi/rpi.hcl --set rpi.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rpi rpi
|
||||
@ -1,53 +0,0 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Generate models for the TensorRT detector
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
MODEL_CACHE_DIR=${MODEL_CACHE_DIR:-"/config/model_cache/tensorrt"}
|
||||
OUTPUT_FOLDER="${MODEL_CACHE_DIR}/${TRT_VER}"
|
||||
|
||||
# Create output folder
|
||||
mkdir -p ${OUTPUT_FOLDER}
|
||||
|
||||
FIRST_MODEL=true
|
||||
MODEL_CONVERT=""
|
||||
|
||||
for model in ${YOLO_MODELS//,/ }
|
||||
do
|
||||
# Remove old link in case path/version changed
|
||||
rm -f ${MODEL_CACHE_DIR}/${model}.trt
|
||||
|
||||
if [[ ! -f ${OUTPUT_FOLDER}/${model}.trt ]]; then
|
||||
if [[ ${FIRST_MODEL} = true ]]; then
|
||||
MODEL_CONVERT="${model}"
|
||||
FIRST_MODEL=false;
|
||||
else
|
||||
MODEL_CONVERT+=",${model}";
|
||||
fi
|
||||
else
|
||||
ln -s ${OUTPUT_FOLDER}/${model}.trt ${MODEL_CACHE_DIR}/${model}.trt
|
||||
fi
|
||||
done
|
||||
|
||||
if [[ -z ${MODEL_CONVERT} ]]; then
|
||||
echo "No models to convert."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
echo "Generating the following TRT Models: ${MODEL_CONVERT}"
|
||||
|
||||
# Build trt engine
|
||||
cd /usr/local/src/tensorrt_demos/yolo
|
||||
|
||||
# Download yolo weights
|
||||
./download_yolo.sh $MODEL_CONVERT > /dev/null
|
||||
|
||||
for model in ${MODEL_CONVERT//,/ }
|
||||
do
|
||||
echo "Converting ${model} model"
|
||||
python3 yolo_to_onnx.py -m ${model} > /dev/null
|
||||
python3 onnx_to_tensorrt.py -m ${model} > /dev/null
|
||||
cp ${model}.trt ${OUTPUT_FOLDER}/${model}.trt
|
||||
ln -s ${OUTPUT_FOLDER}/${model}.trt ${MODEL_CACHE_DIR}/${model}.trt
|
||||
done
|
||||
32
docker/tensorrt/Dockerfile.amd64
Normal file
32
docker/tensorrt/Dockerfile.amd64
Normal file
@ -0,0 +1,32 @@
|
||||
# syntax=docker/dockerfile:1.4
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
# 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 docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
|
||||
RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
|
||||
|
||||
FROM tensorrt-base AS frigate-tensorrt
|
||||
ENV TRT_VER=8.5.3
|
||||
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
|
||||
pip3 install -U /deps/trt-wheels/*.whl && \
|
||||
ldconfig
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
|
||||
# Dev Container w/ TRT
|
||||
FROM devcontainer AS devcontainer-trt
|
||||
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
|
||||
COPY docker/tensorrt/detector/rootfs/ /
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
|
||||
pip3 install -U /deps/trt-wheels/*.whl
|
||||
79
docker/tensorrt/Dockerfile.arm64
Normal file
79
docker/tensorrt/Dockerfile.arm64
Normal file
@ -0,0 +1,79 @@
|
||||
# syntax=docker/dockerfile:1.4
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
ARG BASE_IMAGE
|
||||
FROM ${BASE_IMAGE} AS build-wheels
|
||||
ARG DEBIAN_FRONTEND
|
||||
|
||||
# Use a separate container to build wheels to prevent build dependencies in final image
|
||||
RUN apt-get -qq update \
|
||||
&& apt-get -qq install -y --no-install-recommends \
|
||||
python3.9 python3.9-dev \
|
||||
wget build-essential cmake git \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Ensure python3 defaults to python3.9
|
||||
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
|
||||
|
||||
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
|
||||
&& python3 get-pip.py "pip"
|
||||
|
||||
|
||||
FROM build-wheels AS trt-wheels
|
||||
ARG DEBIAN_FRONTEND
|
||||
ARG TARGETARCH
|
||||
|
||||
# python-tensorrt build deps are 3.4 GB!
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y ccache cuda-cudart-dev-* cuda-nvcc-* libnvonnxparsers-dev libnvparsers-dev libnvinfer-plugin-dev \
|
||||
&& ([ -e /usr/local/cuda ] || ln -s /usr/local/cuda-* /usr/local/cuda) \
|
||||
&& rm -rf /var/lib/apt/lists/*;
|
||||
|
||||
# Determine version of tensorrt already installed in base image, e.g. "Version: 8.4.1-1+cuda11.4"
|
||||
RUN NVINFER_VER=$(dpkg -s libnvinfer8 | grep -Po "Version: \K.*") \
|
||||
&& echo $NVINFER_VER | grep -Po "^\d+\.\d+\.\d+" > /etc/TENSORRT_VER
|
||||
|
||||
RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,target=/deps/build_python_tensorrt.sh \
|
||||
--mount=type=cache,target=/root/.ccache \
|
||||
export PATH="/usr/lib/ccache:$PATH" CCACHE_DIR=/root/.ccache CCACHE_MAXSIZE=2G \
|
||||
&& TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh
|
||||
|
||||
COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
|
||||
RUN pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
|
||||
|
||||
FROM build-wheels AS trt-model-wheels
|
||||
ARG DEBIAN_FRONTEND
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y protobuf-compiler libprotobuf-dev \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
|
||||
pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt
|
||||
|
||||
FROM wget AS jetson-ffmpeg
|
||||
ARG DEBIAN_FRONTEND
|
||||
ENV CCACHE_DIR /root/.ccache
|
||||
ENV CCACHE_MAXSIZE 2G
|
||||
RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps/build_jetson_ffmpeg.sh \
|
||||
--mount=type=cache,target=/root/.ccache \
|
||||
/deps/build_jetson_ffmpeg.sh
|
||||
|
||||
# Frigate w/ TensorRT for NVIDIA Jetson platforms
|
||||
FROM tensorrt-base AS frigate-tensorrt
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y python-is-python3 libprotobuf17 \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
RUN rm -rf /usr/lib/btbn-ffmpeg/
|
||||
COPY --from=jetson-ffmpeg /rootfs /
|
||||
|
||||
COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
|
||||
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
|
||||
--mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
|
||||
pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
|
||||
&& ldconfig
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
29
docker/tensorrt/Dockerfile.base
Normal file
29
docker/tensorrt/Dockerfile.base
Normal file
@ -0,0 +1,29 @@
|
||||
# syntax=docker/dockerfile:1.6
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.03-py3
|
||||
|
||||
# Build TensorRT-specific library
|
||||
FROM ${TRT_BASE} AS trt-deps
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
|
||||
/tensorrt_libyolo.sh
|
||||
|
||||
# Frigate w/ TensorRT Support as separate image
|
||||
FROM deps AS tensorrt-base
|
||||
|
||||
#Disable S6 Global timeout
|
||||
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
|
||||
|
||||
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
|
||||
COPY docker/tensorrt/detector/rootfs/ /
|
||||
ENV YOLO_MODELS="yolov7-320"
|
||||
|
||||
HEALTHCHECK --start-period=600s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
|
||||
CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
|
||||
59
docker/tensorrt/build_jetson_ffmpeg.sh
Executable file
59
docker/tensorrt/build_jetson_ffmpeg.sh
Executable file
@ -0,0 +1,59 @@
|
||||
#!/bin/bash
|
||||
|
||||
# For jetson platforms, build ffmpeg with custom patches. NVIDIA supplies a deb
|
||||
# with accelerated decoding, but it doesn't have accelerated scaling or encoding
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
INSTALL_PREFIX=/rootfs/usr/local
|
||||
|
||||
apt-get -qq update
|
||||
apt-get -qq install -y --no-install-recommends build-essential ccache clang cmake pkg-config
|
||||
apt-get -qq install -y --no-install-recommends libx264-dev libx265-dev
|
||||
|
||||
pushd /tmp
|
||||
|
||||
# Install libnvmpi to enable nvmpi decoders (h264_nvmpi, hevc_nvmpi)
|
||||
if [ -e /usr/local/cuda-10.2 ]; then
|
||||
# assume Jetpack 4.X
|
||||
wget -q https://developer.nvidia.com/embedded/L4T/r32_Release_v5.0/T186/Jetson_Multimedia_API_R32.5.0_aarch64.tbz2 -O jetson_multimedia_api.tbz2
|
||||
else
|
||||
# assume Jetpack 5.X
|
||||
wget -q https://developer.nvidia.com/downloads/embedded/l4t/r35_release_v3.1/release/jetson_multimedia_api_r35.3.1_aarch64.tbz2 -O jetson_multimedia_api.tbz2
|
||||
fi
|
||||
tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
|
||||
|
||||
wget -q https://github.com/madsciencetist/jetson-ffmpeg/archive/refs/heads/master.zip
|
||||
unzip master.zip && rm master.zip && cd jetson-ffmpeg-master
|
||||
LD_LIBRARY_PATH=$(pwd)/stubs:$LD_LIBRARY_PATH # tegra multimedia libs aren't available in image, so use stubs for ffmpeg build
|
||||
mkdir build
|
||||
cd build
|
||||
cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=$INSTALL_PREFIX
|
||||
make -j$(nproc)
|
||||
make install
|
||||
cd ../../
|
||||
|
||||
# Install nv-codec-headers to enable ffnvcodec filters (scale_cuda)
|
||||
wget -q https://github.com/FFmpeg/nv-codec-headers/archive/refs/heads/master.zip
|
||||
unzip master.zip && rm master.zip && cd nv-codec-headers-master
|
||||
make PREFIX=$INSTALL_PREFIX install
|
||||
cd ../ && rm -rf nv-codec-headers-master
|
||||
|
||||
# Build ffmpeg with nvmpi patch
|
||||
wget -q https://ffmpeg.org/releases/ffmpeg-6.0.tar.xz
|
||||
tar xaf ffmpeg-*.tar.xz && rm ffmpeg-*.tar.xz && cd ffmpeg-*
|
||||
patch -p1 < ../jetson-ffmpeg-master/ffmpeg_patches/ffmpeg6.0_nvmpi.patch
|
||||
export PKG_CONFIG_PATH=$INSTALL_PREFIX/lib/pkgconfig
|
||||
# enable Jetson codecs but disable dGPU codecs
|
||||
./configure --cc='ccache gcc' --cxx='ccache g++' \
|
||||
--enable-shared --disable-static --prefix=$INSTALL_PREFIX \
|
||||
--enable-gpl --enable-libx264 --enable-libx265 \
|
||||
--enable-nvmpi --enable-ffnvcodec --enable-cuda-llvm \
|
||||
--disable-cuvid --disable-nvenc --disable-nvdec \
|
||||
|| { cat ffbuild/config.log && false; }
|
||||
make -j$(nproc)
|
||||
make install
|
||||
cd ../
|
||||
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
popd
|
||||
28
docker/tensorrt/detector/build_python_tensorrt.sh
Executable file
28
docker/tensorrt/detector/build_python_tensorrt.sh
Executable file
@ -0,0 +1,28 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
mkdir -p /trt-wheels
|
||||
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
|
||||
# NVIDIA supplies python-tensorrt for python3.8, but frigate uses python3.9,
|
||||
# so we must build python-tensorrt ourselves.
|
||||
|
||||
# Get python-tensorrt source
|
||||
mkdir /workspace
|
||||
cd /workspace
|
||||
git clone -b ${TENSORRT_VER} https://github.com/NVIDIA/TensorRT.git --depth=1
|
||||
|
||||
# Collect dependencies
|
||||
EXT_PATH=/workspace/external && mkdir -p $EXT_PATH
|
||||
pip3 install pybind11 && ln -s /usr/local/lib/python3.9/dist-packages/pybind11 $EXT_PATH/pybind11
|
||||
ln -s /usr/include/python3.9 $EXT_PATH/python3.9
|
||||
ln -s /usr/include/aarch64-linux-gnu/NvOnnxParser.h /workspace/TensorRT/parsers/onnx/
|
||||
|
||||
# Build wheel
|
||||
cd /workspace/TensorRT/python
|
||||
EXT_PATH=$EXT_PATH PYTHON_MAJOR_VERSION=3 PYTHON_MINOR_VERSION=9 TARGET_ARCHITECTURE=aarch64 /bin/bash ./build.sh
|
||||
mv build/dist/*.whl /trt-wheels/
|
||||
|
||||
fi
|
||||
109
docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run
Executable file
109
docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run
Executable file
@ -0,0 +1,109 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Generate models for the TensorRT detector
|
||||
|
||||
# One or more comma-separated models may be specified via the YOLO_MODELS env.
|
||||
# Append "-dla" to the model name to generate a DLA model with GPU fallback;
|
||||
# otherwise a GPU-only model will be generated.
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
MODEL_CACHE_DIR=${MODEL_CACHE_DIR:-"/config/model_cache/tensorrt"}
|
||||
TRT_VER=${TRT_VER:-$(cat /etc/TENSORRT_VER)}
|
||||
OUTPUT_FOLDER="${MODEL_CACHE_DIR}/${TRT_VER}"
|
||||
|
||||
# Create output folder
|
||||
mkdir -p ${OUTPUT_FOLDER}
|
||||
|
||||
FIRST_MODEL=true
|
||||
MODEL_DOWNLOAD=""
|
||||
MODEL_CONVERT=""
|
||||
|
||||
for model in ${YOLO_MODELS//,/ }
|
||||
do
|
||||
# Remove old link in case path/version changed
|
||||
rm -f ${MODEL_CACHE_DIR}/${model}.trt
|
||||
|
||||
if [[ ! -f ${OUTPUT_FOLDER}/${model}.trt ]]; then
|
||||
if [[ ${FIRST_MODEL} = true ]]; then
|
||||
MODEL_DOWNLOAD="${model%-dla}";
|
||||
MODEL_CONVERT="${model}"
|
||||
FIRST_MODEL=false;
|
||||
else
|
||||
MODEL_DOWNLOAD+=",${model%-dla}";
|
||||
MODEL_CONVERT+=",${model}";
|
||||
fi
|
||||
else
|
||||
ln -s ${OUTPUT_FOLDER}/${model}.trt ${MODEL_CACHE_DIR}/${model}.trt
|
||||
fi
|
||||
done
|
||||
|
||||
if [[ -z ${MODEL_CONVERT} ]]; then
|
||||
echo "No models to convert."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
# Setup ENV to select GPU for conversion
|
||||
if [ ! -z ${TRT_MODEL_PREP_DEVICE+x} ]; then
|
||||
if [ ! -z ${CUDA_VISIBLE_DEVICES+x} ]; then
|
||||
PREVIOUS_CVD="$CUDA_VISIBLE_DEVICES"
|
||||
unset CUDA_VISIBLE_DEVICES
|
||||
fi
|
||||
export CUDA_VISIBLE_DEVICES="$TRT_MODEL_PREP_DEVICE"
|
||||
fi
|
||||
|
||||
# On Jetpack 4.6, the nvidia container runtime will mount several host nvidia libraries into the
|
||||
# container which should not be present in the image - if they are, TRT model generation will
|
||||
# fail or produce invalid models. Thus we must request the user to install them on the host in
|
||||
# order to run libyolo here.
|
||||
# On Jetpack 5.0, these libraries are not mounted by the runtime and are supplied by the image.
|
||||
if [[ "$(arch)" == "aarch64" ]]; then
|
||||
if [[ ! -e /usr/lib/aarch64-linux-gnu/tegra ]]; then
|
||||
echo "ERROR: Container must be launched with nvidia runtime"
|
||||
exit 1
|
||||
elif [[ ! -e /usr/lib/aarch64-linux-gnu/libnvinfer.so.8 ||
|
||||
! -e /usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so.8 ||
|
||||
! -e /usr/lib/aarch64-linux-gnu/libnvparsers.so.8 ||
|
||||
! -e /usr/lib/aarch64-linux-gnu/libnvonnxparser.so.8 ]]; then
|
||||
echo "ERROR: Please run the following on the HOST:"
|
||||
echo " sudo apt install libnvinfer8 libnvinfer-plugin8 libnvparsers8 libnvonnxparsers8 nvidia-container"
|
||||
exit 1
|
||||
fi
|
||||
fi
|
||||
|
||||
echo "Generating the following TRT Models: ${MODEL_CONVERT}"
|
||||
|
||||
# Build trt engine
|
||||
cd /usr/local/src/tensorrt_demos/yolo
|
||||
|
||||
echo "Downloading yolo weights"
|
||||
./download_yolo.sh $MODEL_DOWNLOAD 2> /dev/null
|
||||
|
||||
for model in ${MODEL_CONVERT//,/ }
|
||||
do
|
||||
python3 yolo_to_onnx.py -m ${model%-dla} > /dev/null
|
||||
|
||||
echo -e "\nGenerating ${model}.trt. This may take a few minutes.\n"; start=$(date +%s)
|
||||
if [[ $model == *-dla ]]; then
|
||||
cmd="python3 onnx_to_tensorrt.py -m ${model%-dla} --dla_core 0"
|
||||
else
|
||||
cmd="python3 onnx_to_tensorrt.py -m ${model}"
|
||||
fi
|
||||
$cmd > /tmp/onnx_to_tensorrt.log || { cat /tmp/onnx_to_tensorrt.log && continue; }
|
||||
|
||||
mv ${model%-dla}.trt ${OUTPUT_FOLDER}/${model}.trt;
|
||||
ln -s ${OUTPUT_FOLDER}/${model}.trt ${MODEL_CACHE_DIR}/${model}.trt
|
||||
echo "Generated ${model}.trt in $(($(date +%s)-start)) seconds"
|
||||
done
|
||||
|
||||
# Restore ENV after conversion
|
||||
if [ ! -z ${TRT_MODEL_PREP_DEVICE+x} ]; then
|
||||
unset CUDA_VISIBLE_DEVICES
|
||||
if [ ! -z ${PREVIOUS_CVD+x} ]; then
|
||||
export CUDA_VISIBLE_DEVICES="$PREVIOUS_CVD"
|
||||
fi
|
||||
fi
|
||||
|
||||
# Print which models exist in output folder
|
||||
echo "Available tensorrt models:"
|
||||
cd ${OUTPUT_FOLDER} && ls *.trt;
|
||||
@ -8,7 +8,10 @@ SCRIPT_DIR="/usr/local/src/tensorrt_demos"
|
||||
git clone --depth 1 https://github.com/NateMeyer/tensorrt_demos.git -b conditional_download
|
||||
|
||||
# Build libyolo
|
||||
cd ./tensorrt_demos/plugins && make all
|
||||
if [ ! -e /usr/local/cuda ]; then
|
||||
ln -s /usr/local/cuda-* /usr/local/cuda
|
||||
fi
|
||||
cd ./tensorrt_demos/plugins && make all -j$(nproc)
|
||||
cp libyolo_layer.so /usr/local/lib/libyolo_layer.so
|
||||
|
||||
# Store yolo scripts for later conversion
|
||||
1
docker/tensorrt/requirements-arm64.txt
Normal file
1
docker/tensorrt/requirements-arm64.txt
Normal file
@ -0,0 +1 @@
|
||||
cuda-python == 11.7; platform_machine == 'aarch64'
|
||||
3
docker/tensorrt/requirements-models-arm64.txt
Normal file
3
docker/tensorrt/requirements-models-arm64.txt
Normal file
@ -0,0 +1,3 @@
|
||||
onnx == 1.14.0; platform_machine == 'aarch64'
|
||||
protobuf == 3.20.3; platform_machine == 'aarch64'
|
||||
numpy == 1.23.*; platform_machine == 'aarch64' # required by python-tensorrt 8.2.1 (Jetpack 4.6)
|
||||
94
docker/tensorrt/trt.hcl
Normal file
94
docker/tensorrt/trt.hcl
Normal file
@ -0,0 +1,94 @@
|
||||
variable "ARCH" {
|
||||
default = "amd64"
|
||||
}
|
||||
variable "BASE_IMAGE" {
|
||||
default = null
|
||||
}
|
||||
variable "SLIM_BASE" {
|
||||
default = null
|
||||
}
|
||||
variable "TRT_BASE" {
|
||||
default = null
|
||||
}
|
||||
|
||||
target "_build_args" {
|
||||
args = {
|
||||
BASE_IMAGE = BASE_IMAGE,
|
||||
SLIM_BASE = SLIM_BASE,
|
||||
TRT_BASE = TRT_BASE
|
||||
}
|
||||
platforms = ["linux/${ARCH}"]
|
||||
}
|
||||
|
||||
target wget {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
target = "wget"
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target deps {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
target = "deps"
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target rootfs {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
target = "rootfs"
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target wheels {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
target = "wheels"
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target devcontainer {
|
||||
dockerfile = "docker/main/Dockerfile"
|
||||
platforms = ["linux/amd64"]
|
||||
target = "devcontainer"
|
||||
}
|
||||
|
||||
target "trt-deps" {
|
||||
dockerfile = "docker/tensorrt/Dockerfile.base"
|
||||
context = "."
|
||||
contexts = {
|
||||
deps = "target:deps",
|
||||
}
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target "tensorrt-base" {
|
||||
dockerfile = "docker/tensorrt/Dockerfile.base"
|
||||
context = "."
|
||||
contexts = {
|
||||
deps = "target:deps",
|
||||
}
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target "tensorrt" {
|
||||
dockerfile = "docker/tensorrt/Dockerfile.${ARCH}"
|
||||
context = "."
|
||||
contexts = {
|
||||
wget = "target:wget",
|
||||
tensorrt-base = "target:tensorrt-base",
|
||||
rootfs = "target:rootfs"
|
||||
wheels = "target:wheels"
|
||||
}
|
||||
target = "frigate-tensorrt"
|
||||
inherits = ["_build_args"]
|
||||
}
|
||||
|
||||
target "devcontainer-trt" {
|
||||
dockerfile = "docker/tensorrt/Dockerfile.amd64"
|
||||
context = "."
|
||||
contexts = {
|
||||
wheels = "target:wheels",
|
||||
trt-deps = "target:trt-deps",
|
||||
devcontainer = "target:devcontainer"
|
||||
}
|
||||
platforms = ["linux/amd64"]
|
||||
target = "devcontainer-trt"
|
||||
}
|
||||
26
docker/tensorrt/trt.mk
Normal file
26
docker/tensorrt/trt.mk
Normal file
@ -0,0 +1,26 @@
|
||||
BOARDS += trt
|
||||
|
||||
JETPACK4_BASE ?= timongentzsch/l4t-ubuntu20-opencv:latest # L4T 32.7.1 JetPack 4.6.1
|
||||
JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime # L4T 35.3.1 JetPack 5.1.1
|
||||
X86_DGPU_ARGS := ARCH=amd64
|
||||
JETPACK4_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK4_BASE) SLIM_BASE=$(JETPACK4_BASE) TRT_BASE=$(JETPACK4_BASE)
|
||||
JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE)
|
||||
|
||||
local-trt: version
|
||||
$(X86_DGPU_ARGS) docker buildx bake --load --file=docker/tensorrt/trt.hcl --set tensorrt.tags=frigate:latest-tensorrt tensorrt
|
||||
|
||||
local-trt-jp4: version
|
||||
$(JETPACK4_ARGS) docker buildx bake --load --file=docker/tensorrt/trt.hcl --set tensorrt.tags=frigate:latest-tensorrt-jp4 tensorrt
|
||||
|
||||
local-trt-jp5: version
|
||||
$(JETPACK5_ARGS) docker buildx bake --load --file=docker/tensorrt/trt.hcl --set tensorrt.tags=frigate:latest-tensorrt-jp5 tensorrt
|
||||
|
||||
build-trt:
|
||||
$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt tensorrt
|
||||
$(JETPACK4_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp4 tensorrt
|
||||
$(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5 tensorrt
|
||||
|
||||
push-trt: build-trt
|
||||
$(X86_DGPU_ARGS) docker buildx bake --push --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt tensorrt
|
||||
$(JETPACK4_ARGS) docker buildx bake --push --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp4 tensorrt
|
||||
$(JETPACK5_ARGS) docker buildx bake --push --file=docker/tensorrt/trt.hcl --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5 tensorrt
|
||||
@ -120,7 +120,7 @@ NOTE: The folder that is mapped from the host needs to be the folder that contai
|
||||
|
||||
## Custom go2rtc version
|
||||
|
||||
Frigate currently includes go2rtc v1.5.0, there may be certain cases where you want to run a different version of go2rtc.
|
||||
Frigate currently includes go2rtc v1.8.4, there may be certain cases where you want to run a different version of go2rtc.
|
||||
|
||||
To do this:
|
||||
|
||||
@ -128,3 +128,34 @@ To do this:
|
||||
2. Rename the build to `go2rtc`.
|
||||
3. Give `go2rtc` execute permission.
|
||||
4. Restart Frigate and the custom version will be used, you can verify by checking go2rtc logs.
|
||||
|
||||
## Validating your config.yaml file updates
|
||||
|
||||
When frigate starts up, it checks whether your config file is valid, and if it is not, the process exits. To minimize interruptions when updating your config, you have three options -- you can edit the config via the WebUI which has built in validation, use the config API, or you can validate on the command line using the frigate docker container.
|
||||
|
||||
### Via API
|
||||
|
||||
Frigate can accept a new configuration file as JSON at the `/config/save` endpoint. When updating the config this way, Frigate will validate the config before saving it, and return a `400` if the config is not valid.
|
||||
|
||||
```bash
|
||||
curl -X POST http://frigate_host:5000/config/save -d @config.json
|
||||
```
|
||||
|
||||
if you'd like you can use your yaml config directly by using [`yq`](https://github.com/mikefarah/yq) to convert it to json:
|
||||
|
||||
```bash
|
||||
yq r -j config.yml | curl -X POST http://frigate_host:5000/config/save -d @-
|
||||
```
|
||||
|
||||
### Via Command Line
|
||||
|
||||
You can also validate your config at the command line by using the docker container itself. In CI/CD, you leverage the return code to determine if your config is valid, Frigate will return `1` if the config is invalid, or `0` if it's valid.
|
||||
|
||||
```bash
|
||||
docker run \
|
||||
-v $(pwd)/config.yml:/config/config.yml \
|
||||
--entrypoint python3 \
|
||||
ghcr.io/blakeblackshear/frigate:stable \
|
||||
-u -m frigate \
|
||||
--validate_config
|
||||
```
|
||||
|
||||
@ -48,15 +48,26 @@ cameras:
|
||||
- detect
|
||||
```
|
||||
|
||||
### Configuring Minimum Volume
|
||||
|
||||
The audio detector uses volume levels in the same way that motion in a camera feed is used for object detection. This means that frigate will not run audio detection unless the audio volume is above the configured level in order to reduce resource usage. Audio levels can vary widely between camera models so it is important to run tests to see what volume levels are. MQTT explorer can be used on the audio topic to see what volume level is being detected.
|
||||
|
||||
:::tip
|
||||
|
||||
Volume is considered motion for recordings, this means when the `record -> retain -> mode` is set to `motion` any time audio volume is > min_volume that recording segment for that camera will be kept.
|
||||
|
||||
:::
|
||||
|
||||
### Configuring Audio Events
|
||||
|
||||
The included audio model has over 500 different types of audio that can be detected, many of which are not practical. By default `bark`, `speech`, `yell`, and `scream` are enabled but these can be customized.
|
||||
The included audio model has over [500 different types](https://github.com/blakeblackshear/frigate/blob/dev/audio-labelmap.txt) of audio that can be detected, many of which are not practical. By default `bark`, `fire_alarm`, `scream`, `speech`, and `yell` are enabled but these can be customized.
|
||||
|
||||
```yaml
|
||||
audio:
|
||||
enabled: True
|
||||
listen:
|
||||
- bark
|
||||
- fire_alarm
|
||||
- scream
|
||||
- speech
|
||||
- yell
|
||||
|
||||
166
docs/docs/configuration/autotracking.md
Normal file
166
docs/docs/configuration/autotracking.md
Normal file
@ -0,0 +1,166 @@
|
||||
---
|
||||
id: autotracking
|
||||
title: Camera Autotracking
|
||||
---
|
||||
|
||||
An ONVIF-capable, PTZ (pan-tilt-zoom) camera that supports relative movement within the field of view (FOV) can be configured to automatically track moving objects and keep them in the center of the frame.
|
||||
|
||||
|
||||
|
||||
## Autotracking behavior
|
||||
|
||||
Once Frigate determines that an object is not a false positive and has entered one of the required zones, the autotracker will move the PTZ camera to keep the object centered in the frame until the object either moves out of the frame, the PTZ is not capable of any more movement, or Frigate loses track of it.
|
||||
|
||||
Upon loss of tracking, Frigate will scan the region of the lost object for `timeout` seconds. If an object of the same type is found in that region, Frigate will autotrack that new object.
|
||||
|
||||
When tracking has ended, Frigate will return to the camera firmware's PTZ preset specified by the `return_preset` configuration entry.
|
||||
|
||||
## Checking ONVIF camera support
|
||||
|
||||
Frigate autotracking functions with PTZ cameras capable of relative movement within the field of view (as specified in the [ONVIF spec](https://www.onvif.org/specs/srv/ptz/ONVIF-PTZ-Service-Spec-v1712.pdf) as `RelativePanTiltTranslationSpace` having a `TranslationSpaceFov` entry).
|
||||
|
||||
Many cheaper or older PTZs may not support this standard. Frigate will report an error message in the log and disable autotracking if your PTZ is unsupported.
|
||||
|
||||
Alternatively, you can download and run [this simple Python script](https://gist.github.com/hawkeye217/152a1d4ba80760dac95d46e143d37112), replacing the details on line 4 with your camera's IP address, ONVIF port, username, and password to check your camera.
|
||||
|
||||
A growing list of cameras and brands that have been reported by users to work with Frigate's autotracking can be found [here](cameras.md).
|
||||
|
||||
## Configuration
|
||||
|
||||
First, set up a PTZ preset in your camera's firmware and give it a name. If you're unsure how to do this, consult the documentation for your camera manufacturer's firmware. Some tutorials for common brands: [Amcrest](https://www.youtube.com/watch?v=lJlE9-krmrM), [Reolink](https://www.youtube.com/watch?v=VAnxHUY5i5w), [Dahua](https://www.youtube.com/watch?v=7sNbc5U-k54).
|
||||
|
||||
Edit your Frigate configuration file and enter the ONVIF parameters for your camera. Specify the object types to track, a required zone the object must enter to begin autotracking, and the camera preset name you configured in your camera's firmware to return to when tracking has ended. Optionally, specify a delay in seconds before Frigate returns the camera to the preset.
|
||||
|
||||
An [ONVIF connection](cameras.md) is required for autotracking to function. Also, a [motion mask](masks.md) over your camera's timestamp and any overlay text is recommended to ensure they are completely excluded from scene change calculations when the camera is moving.
|
||||
|
||||
Note that `autotracking` is disabled by default but can be enabled in the configuration or by MQTT.
|
||||
|
||||
```yaml
|
||||
cameras:
|
||||
ptzcamera:
|
||||
...
|
||||
onvif:
|
||||
# Required: host of the camera being connected to.
|
||||
host: 0.0.0.0
|
||||
# Optional: ONVIF port for device (default: shown below).
|
||||
port: 8000
|
||||
# Optional: username for login.
|
||||
# NOTE: Some devices require admin to access ONVIF.
|
||||
user: admin
|
||||
# Optional: password for login.
|
||||
password: admin
|
||||
# Optional: PTZ camera object autotracking. Keeps a moving object in
|
||||
# the center of the frame by automatically moving the PTZ camera.
|
||||
autotracking:
|
||||
# Optional: enable/disable object autotracking. (default: shown below)
|
||||
enabled: False
|
||||
# Optional: calibrate the camera on startup (default: shown below)
|
||||
# A calibration will move the PTZ in increments and measure the time it takes to move.
|
||||
# The results are used to help estimate the position of tracked objects after a camera move.
|
||||
# Frigate will update your config file automatically after a calibration with
|
||||
# a "movement_weights" entry for the camera. You should then set calibrate_on_startup to False.
|
||||
calibrate_on_startup: False
|
||||
# Optional: the mode to use for zooming in/out on objects during autotracking. (default: shown below)
|
||||
# Available options are: disabled, absolute, and relative
|
||||
# disabled - don't zoom in/out on autotracked objects, use pan/tilt only
|
||||
# absolute - use absolute zooming (supported by most PTZ capable cameras)
|
||||
# relative - use relative zooming (not supported on all PTZs, but makes concurrent pan/tilt/zoom movements)
|
||||
zooming: disabled
|
||||
# Optional: A value to change the behavior of zooming on autotracked objects. (default: shown below)
|
||||
# A lower value will keep more of the scene in view around a tracked object.
|
||||
# A higher value will zoom in more on a tracked object, but Frigate may lose tracking more quickly.
|
||||
# The value should be between 0.1 and 0.75
|
||||
zoom_factor: 0.3
|
||||
# Optional: list of objects to track from labelmap.txt (default: shown below)
|
||||
track:
|
||||
- person
|
||||
# Required: Begin automatically tracking an object when it enters any of the listed zones.
|
||||
required_zones:
|
||||
- zone_name
|
||||
# Required: Name of ONVIF preset in camera's firmware to return to when tracking is over. (default: shown below)
|
||||
return_preset: home
|
||||
# Optional: Seconds to delay before returning to preset. (default: shown below)
|
||||
timeout: 10
|
||||
# Optional: Values generated automatically by a camera calibration. Do not modify these manually. (default: shown below)
|
||||
movement_weights: []
|
||||
```
|
||||
|
||||
## Calibration
|
||||
|
||||
PTZ motors operate at different speeds. Performing a calibration will direct Frigate to measure this speed over a variety of movements and use those measurements to better predict the amount of movement necessary to keep autotracked objects in the center of the frame.
|
||||
|
||||
Calibration is optional, but will greatly assist Frigate in autotracking objects that move across the camera's field of view more quickly.
|
||||
|
||||
To begin calibration, set the `calibrate_on_startup` for your camera to `True` and restart Frigate. Frigate will then make a series of small and large movements with your camera. Don't move the PTZ manually while calibration is in progress. Once complete, camera motion will stop and your config file will be automatically updated with a `movement_weights` parameter to be used in movement calculations. You should not modify this parameter manually.
|
||||
|
||||
After calibration has ended, your PTZ will be moved to the preset specified by `return_preset`.
|
||||
|
||||
:::note
|
||||
|
||||
Frigate's web UI and all other cameras will be unresponsive while calibration is in progress. This is expected and normal to avoid excessive network traffic or CPU usage during calibration. Calibration for most PTZs will take about two minutes. The Frigate log will show calibration progress and any errors.
|
||||
|
||||
:::
|
||||
|
||||
At this point, Frigate will be running and will continue to refine and update the `movement_weights` parameter in your config automatically as the PTZ moves during autotracking and more measurements are obtained.
|
||||
|
||||
Before restarting Frigate, you should set `calibrate_on_startup` in your config file to `False`, otherwise your refined `movement_weights` will be overwritten and calibration will occur when starting again.
|
||||
|
||||
You can recalibrate at any time by removing the `movement_weights` parameter, setting `calibrate_on_startup` to `True`, and then restarting Frigate. You may need to recalibrate or remove `movement_weights` from your config altogether if autotracking is erratic. If you change your `return_preset` in any way or if you change your camera's detect `fps` value, a recalibration is also recommended.
|
||||
|
||||
If you initially calibrate with zooming disabled and then enable zooming at a later point, you should also recalibrate.
|
||||
|
||||
## Best practices and considerations
|
||||
|
||||
Every PTZ camera is different, so autotracking may not perform ideally in every situation. This experimental feature was initially developed using an EmpireTech/Dahua SD1A404XB-GNR.
|
||||
|
||||
The object tracker in Frigate estimates the motion of the PTZ so that tracked objects are preserved when the camera moves. In most cases 5 fps is sufficient, but if you plan to track faster moving objects, you may want to increase this slightly. Higher frame rates (> 10fps) will only slow down Frigate and the motion estimator and may lead to dropped frames, especially if you are using experimental zooming.
|
||||
|
||||
A fast [detector](object_detectors.md) is recommended. CPU detectors will not perform well or won't work at all. You can watch Frigate's debug viewer for your camera to see a thicker colored box around the object currently being autotracked.
|
||||
|
||||
|
||||
|
||||
A full-frame zone in `required_zones` is not recommended, especially if you've calibrated your camera and there are `movement_weights` defined in the configuration file. Frigate will continue to autotrack an object that has entered one of the `required_zones`, even if it moves outside of that zone.
|
||||
|
||||
Some users have found it helpful to adjust the zone `inertia` value. See the [configuration reference](index.md).
|
||||
|
||||
## Zooming
|
||||
|
||||
Zooming is a very experimental feature and may use significantly more CPU when tracking objects than panning/tilting only.
|
||||
|
||||
Absolute zooming makes zoom movements separate from pan/tilt movements. Most PTZ cameras will support absolute zooming. Absolute zooming was developed to be very conservative to work best with a variety of cameras and scenes. Absolute zooming usually will not occur until an object has stopped moving or is moving very slowly.
|
||||
|
||||
Relative zooming attempts to make a zoom movement concurrently with any pan/tilt movements. It was tested to work with some Dahua and Amcrest PTZs. But the ONVIF specification indicates that there no assumption about how the generic zoom range is mapped to magnification, field of view or other physical zoom dimension when using relative zooming. So if relative zooming behavior is erratic or just doesn't work, try absolute zooming.
|
||||
|
||||
You can optionally adjust the `zoom_factor` for your camera in your configuration file. Lower values will leave more space from the scene around the tracked object while higher values will cause your camera to zoom in more on the object. However, keep in mind that Frigate needs a fair amount of pixels and scene details outside of the bounding box of the tracked object to estimate the motion of your camera. If the object is taking up too much of the frame, Frigate will not be able to track the motion of the camera and your object will be lost.
|
||||
|
||||
The range of this option is from 0.1 to 0.75. The default value of 0.3 is conservative and should be sufficient for most users. Because every PTZ and scene is different, you should experiment to determine what works best for you.
|
||||
|
||||
## Usage applications
|
||||
|
||||
In security and surveillance, it's common to use "spotter" cameras in combination with your PTZ. When your fixed spotter camera detects an object, you could use an automation platform like Home Assistant to move the PTZ to a specific preset so that Frigate can begin automatically tracking the object. For example: a residence may have fixed cameras on the east and west side of the property, capturing views up and down a street. When the spotter camera on the west side detects a person, a Home Assistant automation could move the PTZ to a camera preset aimed toward the west. When the object enters the specified zone, Frigate's autotracker could then continue to track the person as it moves out of view of any of the fixed cameras.
|
||||
|
||||
## Troubleshooting and FAQ
|
||||
|
||||
### The autotracker loses track of my object. Why?
|
||||
|
||||
There are many reasons this could be the case. If you are using experimental zooming, your `zoom_factor` value might be too high, the object might be traveling too quickly, the scene might be too dark, there are not enough details in the scene (for example, a PTZ looking down on a driveway or other monotone background without a sufficient number of hard edges or corners), or the scene is otherwise less than optimal for Frigate to maintain tracking.
|
||||
|
||||
Your camera's shutter speed may also be set too low so that blurring occurs with motion. Check your camera's firmware to see if you can increase the shutter speed.
|
||||
|
||||
Watching Frigate's debug view can help to determine a possible cause. The autotracked object will have a thicker colored box around it.
|
||||
|
||||
### I'm seeing an error in the logs that my camera "is still in ONVIF 'MOVING' status." What does this mean?
|
||||
|
||||
There are two possible known reasons for this (and perhaps others yet unknown): a slow PTZ motor or buggy camera firmware. Frigate uses an ONVIF parameter provided by the camera, `MoveStatus`, to determine when the PTZ's motor is moving or idle. According to some users, Hikvision PTZs (even with the latest firmware), are not updating this value after PTZ movement. Unfortunately there is no workaround to this bug in Hikvision firmware, so autotracking will not function correctly and should be disabled in your config. This may also be the case with other non-Hikvision cameras utilizing Hikvision firmware.
|
||||
|
||||
### I tried calibrating my camera, but the logs show that it is stuck at 0% and Frigate is not starting up.
|
||||
|
||||
This is often caused by the same reason as above - the `MoveStatus` ONVIF parameter is not changing due to a bug in your camera's firmware. Also, see the note above: Frigate's web UI and all other cameras will be unresponsive while calibration is in progress. This is expected and normal. But if you don't see log entries every few seconds for calibration progress, your camera is not compatible with autotracking.
|
||||
|
||||
### I'm seeing this error in the logs: "Autotracker: motion estimator couldn't get transformations". What does this mean?
|
||||
|
||||
To maintain object tracking during PTZ moves, Frigate tracks the motion of your camera based on the details of the frame. If you are seeing this message, it could mean that your `zoom_factor` may be set too high, the scene around your detected object does not have enough details (like hard edges or color variatons), or your camera's shutter speed is too slow and motion blur is occurring. Try reducing `zoom_factor`, finding a way to alter the scene around your object, or changing your camera's shutter speed.
|
||||
|
||||
### Calibration seems to have completed, but the camera is not actually moving to track my object. Why?
|
||||
|
||||
Some cameras have firmware that reports that FOV RelativeMove, the ONVIF command that Frigate uses for autotracking, is supported. However, if the camera does not pan or tilt when an object comes into the required zone, your camera's firmware does not actually support FOV RelativeMove. One such camera is the Uniview IPC672LR-AX4DUPK. It actually moves its zoom motor instead of panning and tilting and does not follow the ONVIF standard whatsoever.
|
||||
@ -80,8 +80,8 @@ cameras:
|
||||
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
|
||||
width: # <- optional, by default Frigate tries to automatically detect resolution
|
||||
height: # <- optional, by default Frigate tries to automatically detect resolution
|
||||
```
|
||||
|
||||
### Blue Iris RTSP Cameras
|
||||
@ -108,21 +108,20 @@ According to [this discussion](https://github.com/blakeblackshear/frigate/issues
|
||||
```yaml
|
||||
go2rtc:
|
||||
streams:
|
||||
reolink:
|
||||
- http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password
|
||||
- "ffmpeg:reolink#audio=opus"
|
||||
reolink_sub:
|
||||
- http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password
|
||||
your_reolink_camera:
|
||||
- "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password#video=copy#audio=copy#audio=opus"
|
||||
your_reolink_camera_sub:
|
||||
- "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password"
|
||||
|
||||
cameras:
|
||||
reolink:
|
||||
your_reolink_camera:
|
||||
ffmpeg:
|
||||
inputs:
|
||||
- path: rtsp://127.0.0.1:8554/reolink?video=copy&audio=aac
|
||||
- path: rtsp://127.0.0.1:8554/your_reolink_camera
|
||||
input_args: preset-rtsp-restream
|
||||
roles:
|
||||
- record
|
||||
- path: rtsp://127.0.0.1:8554/reolink_sub?video=copy
|
||||
- path: rtsp://127.0.0.1:8554/your_reolink_camera_sub
|
||||
input_args: preset-rtsp-restream
|
||||
roles:
|
||||
- detect
|
||||
@ -141,7 +140,7 @@ go2rtc:
|
||||
- rtspx://192.168.1.1:7441/abcdefghijk
|
||||
```
|
||||
|
||||
[See the go2rtc docs for more information](https://github.com/AlexxIT/go2rtc/tree/v1.5.0#source-rtsp)
|
||||
[See the go2rtc docs for more information](https://github.com/AlexxIT/go2rtc/tree/v1.8.4#source-rtsp)
|
||||
|
||||
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 if used directly with unifi protect.
|
||||
|
||||
@ -151,3 +150,7 @@ ffmpeg:
|
||||
record: preset-record-ubiquiti
|
||||
rtmp: preset-rtmp-ubiquiti # recommend using go2rtc instead
|
||||
```
|
||||
|
||||
### TP-Link VIGI Cameras
|
||||
|
||||
TP-Link VIGI cameras need some adjustments to the main stream settings on the camera itself to avoid issues. The stream needs to be configured as `H264` with `Smart Coding` set to `off`. Without these settings you may have problems when trying to watch recorded events. For example Firefox will stop playback after a few seconds and show the following error message: `The media playback was aborted due to a corruption problem or because the media used features your browser did not support.`.
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
---
|
||||
id: cameras
|
||||
title: Cameras
|
||||
title: Camera Configuration
|
||||
---
|
||||
|
||||
## Setting Up Camera Inputs
|
||||
@ -11,11 +11,12 @@ A camera is enabled by default but can be temporarily disabled by using `enabled
|
||||
|
||||
Each role can only be assigned to one input per camera. The options for roles are as follows:
|
||||
|
||||
| Role | Description |
|
||||
| ---------- | ---------------------------------------------------------------------------------------- |
|
||||
| `detect` | Main feed for object detection |
|
||||
| `record` | Saves segments of the video feed based on configuration settings. [docs](record.md) |
|
||||
| `rtmp` | Deprecated: Broadcast as an RTMP feed for other services to consume. [docs](restream.md) |
|
||||
| Role | Description |
|
||||
| -------- | ---------------------------------------------------------------------------------------- |
|
||||
| `detect` | Main feed for object detection. [docs](object_detectors.md) |
|
||||
| `record` | Saves segments of the video feed based on configuration settings. [docs](record.md) |
|
||||
| `audio` | Feed for audio based detection. [docs](audio_detectors.md) |
|
||||
| `rtmp` | Deprecated: Broadcast as an RTMP feed for other services to consume. [docs](restream.md) |
|
||||
|
||||
```yaml
|
||||
mqtt:
|
||||
@ -33,8 +34,8 @@ cameras:
|
||||
roles:
|
||||
- record
|
||||
detect:
|
||||
width: 1280
|
||||
height: 720
|
||||
width: 1280 # <- optional, by default Frigate tries to automatically detect resolution
|
||||
height: 720 # <- optional, by default Frigate tries to automatically detect resolution
|
||||
```
|
||||
|
||||
Additional cameras are simply added to the config under the `cameras` entry.
|
||||
@ -51,13 +52,18 @@ For camera model specific settings check the [camera specific](camera_specific.m
|
||||
|
||||
## Setting up camera PTZ controls
|
||||
|
||||
Add onvif config to camera
|
||||
:::caution
|
||||
|
||||
Not every PTZ supports ONVIF, which is the standard protocol Frigate uses to communicate with your camera. Check the [official list of ONVIF conformant products](https://www.onvif.org/conformant-products/), your camera documentation, or camera manufacturer's website to ensure your PTZ supports ONVIF. Also, ensure your camera is running the latest firmware.
|
||||
|
||||
:::
|
||||
|
||||
Add the onvif section to your camera in your configuration file:
|
||||
|
||||
```yaml
|
||||
cameras:
|
||||
back:
|
||||
ffmpeg:
|
||||
...
|
||||
ffmpeg: ...
|
||||
onvif:
|
||||
host: 10.0.10.10
|
||||
port: 8000
|
||||
@ -65,4 +71,28 @@ cameras:
|
||||
password: password
|
||||
```
|
||||
|
||||
then PTZ controls will be available in the cameras WebUI.
|
||||
If the ONVIF connection is successful, PTZ controls will be available in the camera's WebUI.
|
||||
|
||||
An ONVIF-capable camera that supports relative movement within the field of view (FOV) can also be configured to automatically track moving objects and keep them in the center of the frame. For autotracking setup, see the [autotracking](autotracking.md) docs.
|
||||
|
||||
## ONVIF PTZ camera recommendations
|
||||
|
||||
This list of working and non-working PTZ cameras is based on user feedback.
|
||||
|
||||
| Brand or specific camera | PTZ Controls | Autotracking | Notes |
|
||||
| ------------------------ | :----------: | :----------: | ----------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Amcrest | ✅ | ✅ | ⛔️ Generally, Amcrest should work, but some older models (like the common IP2M-841) don't support autotracking |
|
||||
| Amcrest ASH21 | ❌ | ❌ | No ONVIF support |
|
||||
| Ctronics PTZ | ✅ | ❌ | |
|
||||
| Dahua | ✅ | ✅ | |
|
||||
| Foscam R5 | ✅ | ❌ | |
|
||||
| Hikvision | ✅ | ❌ | Incomplete ONVIF support (MoveStatus won't update even on latest firmware) - reported with HWP-N4215IH-DE and DS-2DE3304W-DE, but likely others |
|
||||
| Reolink 511WA | ✅ | ❌ | Zoom only |
|
||||
| Reolink E1 Pro | ✅ | ❌ | |
|
||||
| Reolink E1 Zoom | ✅ | ❌ | |
|
||||
| Reolink RLC-823A 16x | ✅ | ❌ | |
|
||||
| Sunba 405-D20X | ✅ | ❌ | |
|
||||
| Tapo C200 | ✅ | ❌ | Incomplete ONVIF support |
|
||||
| Tapo C210 | ❌ | ❌ | Incomplete ONVIF support |
|
||||
| Uniview IPC672LR-AX4DUPK | ✅ | ❌ | Firmware says FOV relative movement is supported, but camera doesn't actually move when sending ONVIF commands |
|
||||
| Vikylin PTZ-2804X-I2 | ❌ | ❌ | Incomplete ONVIF support |
|
||||
|
||||
@ -11,16 +11,20 @@ It is highly recommended to use hwaccel presets in the config. These presets not
|
||||
|
||||
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 |
|
||||
| Preset | Usage | Other Notes |
|
||||
| --------------------- | ------------------------------ | ----------------------------------------------------- |
|
||||
| preset-rpi-64-h264 | 64 bit Rpi with h264 stream | |
|
||||
| preset-rpi-64-h265 | 64 bit Rpi with h265 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 |
|
||||
| preset-jetson-h264 | Nvidia Jetson with h264 stream | |
|
||||
| preset-jetson-h265 | Nvidia Jetson with h265 stream | |
|
||||
| preset-rk-h264 | Rockchip MPP with h264 stream | Use image with *-rk suffix and privileged mode |
|
||||
| preset-rk-h265 | Rockchip MPP with h265 stream | Use image with *-rk suffix and privileged mode |
|
||||
|
||||
### Input Args Presets
|
||||
|
||||
|
||||
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Reference in New Issue
Block a user