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selfhosted-apps-docker/frigate/readme.md
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# Frigate
###### guide-by-example
![logo](https://i.imgur.com/40qhwix.png)
WORK IN PROGRESS<br>
WORK IN PROGRESS<br>
WORK IN PROGRESS<br>
# Purpose & Overview
Managing security cameras - recording, detection, notifications.
* [Official site](https://frigate.video/)
* [Github](https://github.com/blakeblackshear/frigate)
Frigate is a software NVR - network video recorder.<br>
Simple, clean web-based interface with possible integration in to home assistant
and its app.
Frigate offers powerful **AI object detection**, by using OpenCV and Tensorflow.
In contrast to cameras of old time which just detect movement,
Frigate can recognize if object in view is a cat, a car or a human.
This detection is cpu heavy and to ease the load,
[Google Coral TPU](https://docs.frigate.video/frigate/hardware#google-coral-tpu)
is recommended if planning to run multiple cameras with detection.<br>
Recently
[OpenVINO](https://docs.frigate.video/configuration/object_detectors#openvino-detector)
has been integrated, which should allow use of igpu of intel 6th+ gen cpus
as a detector.
Though my testing with intel igpu OpenVINO going by official docs results in
miniPC that runs frigate freezing once a day.
In comments there seems to be solution by switching to
Open source, written in Python and JavaScript.
# Files and directory structure
```
/home/
└── ~/
└── docker/
└── frigate/
├── 🗁 frigate_config/
| └── 🗋 config.yml
├── 🗁 frigate_storage/
├── 🗋 .env
└── 🗋 docker-compose.yml
```
* `frigate_storage/` - storage for frigate database, and video recordings
* `config.yml` - main frigate config file
* `.env` - a file containing environment variables for docker compose
* `docker-compose.yml` - a docker compose file, telling docker how to run the containers
You need to create `frigate_config` directory and in it create `config.yml`.</br>
Also you need to provide the compose file and the .env file.
# docker-compose
* [Official compose file documentation.](https://docs.frigate.video/frigate/installation/#docker)
This docker compose is based off the official one except few changes.<br>
Using bind mounts instead of volumes, moved variables to the `.env` file,
commented out privileged mode, increased shm_size,...
Of note is use of `tmpfs` for ram temp storage
and [shm_size](https://docs.frigate.video/frigate/installation/#calculating-required-shm-size).
In version 13, docker compose deployment is in the way that entire
directory is mounted in, not just config file. Make not of it.
`docker-compose.yml`
```yml
services:
frigate:
image: ghcr.io/blakeblackshear/frigate:0.13.0-beta7
container_name: frigate
hostname: frigate
restart: unless-stopped
env_file: .env
# privileged: true
shm_size: "256mb"
volumes:
- /etc/localtime:/etc/localtime:ro
- ./frigate_config:/config
- ./frigate_storage:/media/frigate
- type: tmpfs # 1GB of memory
target: /tmp/cache
tmpfs:
size: 1000000000
ports:
- "5000:5000" # Web GUI
- "8554:8554" # RTSP feeds
- "8555:8555/tcp" # WebRTC over tcp
- "8555:8555/udp" # WebRTC over udp
networks:
default:
name: $DOCKER_MY_NETWORK
external: true
```
`.env`
```bash
# GENERAL
DOCKER_MY_NETWORK=caddy_net
TZ=Europe/Bratislava
# FRIGATE
FRIGATE_RTSP_USER: "admin"
FRIGATE_RTSP_PASSWORD: "dontlookatmekameras"
```
**All containers must be on the same network**.</br>
Which is named in the `.env` file.</br>
If one does not exist yet: `docker network create caddy_net`
# Reverse proxy
Caddy is used, details
[here](https://github.com/DoTheEvo/selfhosted-apps-docker/tree/master/caddy_v2).</br>
`Caddyfile`
```
cam.{$MY_DOMAIN} {
reverse_proxy frigate:5000
}
```
# Configuration - frigate_config/config.yml
<details>
<summary><h3>Terminology</h3></summary>
* PoE - power over ethernet, camera is powered by the same cat cable that
carries data. You want POE(802.3af) or POE+(802.3at),
none of the passive poe by mikrotik or ubiquity.
* onvif - attempt at industry standard for security cameras, nvr,.. regardless of manufacturer
* rtsp - a protocol for streams
* ptz - Pan-Tilt-Zoom allows remote movement of a camera
* mqtt - messaging protocol to communicate with home assistant
</details>
### Preparation
Connect camera to your network.
Find url of your camera streams, either by googling your model,
or theres a handy windows utility -
[onvif-device-manager](https://sourceforge.net/projects/onvifdm/).
Unfortunately all official urls seem dead,
[this](https://softradar.com/onvif-device-manager/)
worked for me and passed virustotal at the time. There are also comments
with some links at its sourceforge page.<br>
Camera discovery of onvif-device-manager is almost instant, if the camera requires
credentials, set them in the top left corner.<br>
In live view there should be stream url displayed. Like: "rtsp://10.0.19.171:554/stream1"
Ideally your camera has several streams
A primary one in full resolution full frame rate for recording,
and then secondary one in much smaller resolution and fps for observing.
### First basic config
* [Official documentation for config.yml](https://docs.frigate.video/configuration/)
* [Some youtube video on config adjustment](https://youtu.be/gRCtvRsTHm0)
Example bare config that should shows camera stream once frigate is running.<br>
This one has credentails contained in the url - `rtsp://username:password@ip:port/url`
`frigate_config/config.yml`
```yml
mqtt:
enabled: false
cameras:
C1-Whatever:
ffmpeg:
inputs:
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.171:554/stream1
```
All that is there is disabled mqtt since no home assistant yet
and just single camera stream that pulls credentails from the `.env` file.
---
Now to also record main stream and detect on substream.
```yml
mqtt:
enabled: false
detectors:
default_detector_for_all:
type: cpu
objects:
track:
- person
- cat
- dog
cameras:
K1-Brana:
ffmpeg:
inputs:
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.171:554/stream1
roles:
- record
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.171:554/stream2
roles:
- detect
detect:
width: 640
height: 480
fps: 5
snapshots:
enabled: True
bounding_box: True
record:
enabled: True
retain:
days: 1
motion:
mask:
- 0,480,186,480,174,226,173,0,0,0
```
### Current full config
<details>
<summary>with intel igpu openvino mqtt ntfy</summary>
Previously when I tried openvino igpu hw acceleration I had the server daily freeze.
Now I setup this config expecting freezes and getting ready to try
[yolo model](https://github.com/blakeblackshear/frigate/issues/8470#issuecomment-1823556062)
from github comments, but no freeze yet for few days..
```
mqtt:
enabled: true
host: 10.0.19.40
port: 1883
user: frigate
password: ${FRIGATE_RTSP_PASSWORD}
detectors:
ov:
type: openvino
device: AUTO
model:
path: /openvino-model/ssdlite_mobilenet_v2.xml
model:
width: 300
height: 300
input_tensor: nhwc
input_pixel_format: bgr
labelmap_path: /openvino-model/coco_91cl_bkgr.txt
objects:
track:
- person
- cat
- dog
filters:
person:
min_area: 1000
threshold: 0.70
cat:
min_area: 200
threshold: 0.5
ffmpeg:
hwaccel_args: preset-vaapi
detect:
max_disappeared: 2500
cameras:
K1-Brana:
birdseye:
order: 1
ffmpeg:
inputs:
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.41:554/stream1
roles:
- record
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.41:554/stream2
roles:
- detect
detect:
width: 640
height: 480
fps: 5
snapshots:
enabled: True
bounding_box: True
record:
enabled: True
retain:
days: 1
motion:
mask:
- 640,480,640,0,0,0,0,480,316,480,308,439,179,422,162,121,302,114,497,480
K2-Pergola:
birdseye:
order: 2
ffmpeg:
inputs:
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.42:554/stream1
roles:
- record
- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.19.42:554/stream2
roles:
- detect
detect:
width: 640
height: 480
fps: 5
snapshots:
enabled: True
bounding_box: True
record:
enabled: True
retain:
days: 1
motion:
mask:
- 640,78,640,0,0,0,0,480,316,480,452,171
K3-Dvor:
birdseye:
order: 3
ffmpeg:
inputs:
- path: rtsp://10.0.19.43:554/0/av1
roles:
- record
- path: rtsp://10.0.19.43:554/0/av1
roles:
- detect
detect:
width: 640
height: 352
fps: 8
snapshots:
enabled: True
bounding_box: True
record:
enabled: True
retain:
days: 21
motion:
mask:
- 0,37,198,38,174,0,0,0
- 640,90,640,352,210,352
# Include all cameras by default in Birdseye view
birdseye:
enabled: True
mode: continuous
ui:
time_format: 24hour
```
</details>
# First run
# Notifications
Using ntfy, [gude here](https://github.com/DoTheEvo/selfhosted-apps-docker/tree/master/gotify-ntfy-signal).
Following [this guide](https://beneaththeradar.blog/frigate-portainer-and-notifications-using-ntfy/)
where emqx is setup as middle man.
`docker-compose.yml`
```yml
services:
frigate:
image: ghcr.io/blakeblackshear/frigate:0.13.0-beta7
container_name: frigate
hostname: frigate
restart: unless-stopped
env_file: .env
privileged: true
user: root
shm_size: "256mb"
devices:
- /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
cap_add:
- CAP_PERFMON
volumes:
- /etc/localtime:/etc/localtime:ro
- ./frigate_config:/config
- /mnt/data-1/frigate_storage:/media/frigate
- type: tmpfs # 1GB of memory
target: /tmp/cache
tmpfs:
size: 1000000000
ports:
- "5000:5000" # Web GUI
- "8554:8554" # RTSP feeds
- "8555:8555/tcp" # WebRTC over tcp
- "8555:8555/udp" # WebRTC over udp
emqx:
image: emqx/emqx:5.3.2
container_name: emqx
hostname: frigate
restart: unless-stopped
env_file: .env
volumes:
- ./emqx_data:/opt/emqx/data
ports:
- 1883:1883
- 8083:8083
- 8084:8084
- 8883:8883
- 18083:18083 # Web GUI
networks:
default:
name: $DOCKER_MY_NETWORK
external: true
```
# Specifics of my setup
# Troubleshooting
# Update
Manual image update:
- `docker-compose pull`</br>
- `docker-compose up -d`</br>
- `docker image prune`
# Backup and restore
#### Backup
#### Restore