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frigate

Docker-Anwendung from yayitazale's Repository

Übersicht

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. You cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras. Optionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator, Nvidia GPU, OpenVINO (Intel GPU)... See the documentation for more details about your specific hardware and needs (https://docs.frigate.video/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.

Anforderungen

- A valid config.yml file must exist in the config directory to startup the container.
- If you are using a PCI Coral instead of a USB one, you must install first the needed drivers going to the CA app and searching for Coral-Driver (thanks to @ich777)
- If you want to use a NVidia card to image decoding and/or detection, you must first install the drivers from CA app (thanks to @ich777), add "--runtime=nvidia" as extra parameter under advanced view and set the "Nvidia Visible Devices" variable with your "GPU UUID" as the value.
- If you want to use the NVidia TensorRT ONNX Detector, you have to select the correspondig NVIDIA branch.
- If you want to use a AMD GPU to image decoding you must change driver to "radeonsi".

Laufzeit-Argumente

Web-UI: http://[IP]:[PORT:8971]
Netzwerk: bridge
Shell: sh
Privilegiert: false
Extra Params: --shm-size=256m --mount type=tmpfs,target=/tmp/cache,tmpfs-size=1000000000 --restart unless-stopped

Konfiguration der Vorlage

Config PathPathrw

Ziel: /config
Standard: /mnt/user/appdata/frigate
Wert: /mnt/user/appdata/frigate

Media pathPathrw

Ziel: /media/frigate
Wert: /mnt/user/Media/frigate

Authenticated UI and API access without TLS. Reverse proxies should use this portPorttcp

Ziel: 8971
Wert: 8971

RTSP restreaming portPorttcp

By default, these streams are unauthenticated. Authentication can be configured in go2rtc section of config

Ziel: 8554
Wert: 8554

Frigate RTSP PasswordVariable

Ziel: FRIGATE_RTSP_PASSWORD
Wert: enterpassword

Frigate+ API keyVariable

Optional: Enter the frigate+ API key or remove this if you are not using it

Ziel: PLUS_API_KEY

Coral TPU/NCS2 MappingDevice

Use /dev/bus/usb for USB devices and /dev/apex_0 for PCIe devices (you must install the drivers first for PCIe devices). Remove this if you are not using it

Ziel: /dev/bus/usb
Wert: /dev/bus/usb

Intel/AMD GPU mappingDevice

Intel/AMD GPU mapping for image decode (and detection with Intel OpenVINO). Remove this if you are not using it

Wert: /dev/dri/renderD128

Driver for Intel/AMD GPUsVariable

(Intel = iHD or i965 and AMD = radeonsi). Remove this if you are not using it

Ziel: LIBVA_DRIVER_NAME
Wert: iHD

Nvidia Visible DevicesVariable

This info can be found in the NVidia driver plugin.. Only for Nvidia GPU decoding and/or detection. Remove this if you are not using it

Ziel: NVIDIA_VISIBLE_DEVICES
Wert: YOURGPUUUID

Nvidia Driver CapabilitiesVariable

Only for Nvidia GPU decoding and/or detection. Remove this if you are not using it

Ziel: NVIDIA_DRIVER_CAPABILITIES
Wert: compute,utility,video

Internal unauthenticated UI and API access. Access to this port should be limited. Intended to be used within the docker network for services that integrate with FrigatePorttcp

Ziel: 5000
Wert: 5000

WebRTC connection TCP portPorttcp

For low latency live views

Ziel: 8555
Wert: 8555

WebRTC connection UDP portPortudp

For low latency live views

Ziel: 8555
Wert: 8555

LocaltimePathro

Ziel: /etc/localtime
Wert: /etc/localtime

Links

Vorlage Unterstützung Registry Project

Einzelheiten

Repository

ghcr.io/blakeblackshear/frigate:stable

Registry

https://github.com/blakeblackshear/frigate/pkgs/container/frigate

Zuletzt aktualisiert2023-01-07

Erstmals gesehen2022-09-23

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