--- id: getting_started title: Getting started --- import ConfigTabs from "@site/src/components/ConfigTabs"; import TabItem from "@theme/TabItem"; import NavPath from "@site/src/components/NavPath"; # Getting Started :::tip If you already have an environment with Linux and Docker installed, you can continue to [Installing Frigate](#installing-frigate) below. If you already have Frigate installed through Docker or through a Home Assistant App, you can continue to [Configuring Frigate](#configuring-frigate) below. ::: ## Setting up hardware This section guides you through setting up a server with Debian Bookworm and Docker. ### Install Debian 12 (Bookworm) There are many guides on how to install Debian Server, so this will be an abbreviated guide. Connect a temporary monitor and keyboard to your device so you can install a minimal server without a desktop environment. #### Prepare installation media 1. Download the small installation image from the [Debian website](https://www.debian.org/distrib/netinst) 1. Flash the ISO to a USB device (popular tool is [balena Etcher](https://etcher.balena.io/)) 1. Boot your device from USB #### Install and setup Debian for remote access 1. Ensure your device is connected to the network so updates and software options can be installed 1. Choose the non-graphical install option if you don't have a mouse connected, but either install method works fine 1. You will be prompted to set the root user password and create a user with a password 1. Install the minimum software. Fewer dependencies result in less maintenance. 1. Uncheck "Debian desktop environment" and "GNOME" 1. Check "SSH server" 1. Keep "standard system utilities" checked 1. After reboot, login as root at the command prompt to add user to sudoers 1. Install sudo ```bash apt update && apt install -y sudo ``` 1. Add the user you created to the sudo group (change `blake` to your own user) ```bash usermod -aG sudo blake ``` 1. Shutdown by running `poweroff` At this point, you can install the device in a permanent location. The remaining steps can be performed via SSH from another device. If you don't have an SSH client, you can install one of the options listed in the [Visual Studio Code documentation](https://code.visualstudio.com/docs/remote/troubleshooting#_installing-a-supported-ssh-client). #### Finish setup via SSH 1. Connect via SSH and login with your non-root user created during install 1. Setup passwordless sudo so you don't have to type your password for each sudo command (change `blake` in the command below to your user) ```bash echo 'blake ALL=(ALL) NOPASSWD:ALL' | sudo tee /etc/sudoers.d/user ``` 1. Logout and login again to activate passwordless sudo 1. Setup automatic security updates for the OS (optional) 1. Ensure everything is up to date by running ```bash sudo apt update && sudo apt upgrade -y ``` 1. Install unattended upgrades ```bash sudo apt install -y unattended-upgrades echo unattended-upgrades unattended-upgrades/enable_auto_updates boolean true | sudo debconf-set-selections sudo dpkg-reconfigure -f noninteractive unattended-upgrades ``` Now you have a minimal Debian server that requires very little maintenance. ### Install Docker 1. Install Docker Engine (not Docker Desktop) using the [official docs](https://docs.docker.com/engine/install/debian/) 1. Specifically, follow the steps in the [Install using the apt repository](https://docs.docker.com/engine/install/debian/#install-using-the-repository) section 2. Add your user to the docker group as described in the [Linux postinstall steps](https://docs.docker.com/engine/install/linux-postinstall/) ## Installing Frigate This section shows how to create a minimal directory structure for a Docker installation on Debian. If you have installed Frigate as a Home Assistant App or another way, you can continue to [Configuring Frigate](#configuring-frigate). ### Setup directories Frigate will create a config file if one does not exist on the initial startup. The following directory structure is the bare minimum to get started. ``` . ├── docker-compose.yml ├── config/ └── storage/ ``` This will create the above structure: ```bash mkdir storage config && touch docker-compose.yml ``` If you are setting up Frigate on a Linux device via SSH, you can use [nano](https://itsfoss.com/nano-editor-guide/) to edit the following files. If you prefer to edit remote files with a full editor instead of a terminal, I recommend using [Visual Studio Code](https://code.visualstudio.com/) with the [Remote SSH extension](https://code.visualstudio.com/docs/remote/ssh-tutorial). :::note This `docker-compose.yml` file is just a starter for amd64 devices. You will need to customize it for your setup as detailed in the [Installation docs](/frigate/installation#docker). ::: `docker-compose.yml` ```yaml services: frigate: container_name: frigate restart: unless-stopped stop_grace_period: 30s image: ghcr.io/blakeblackshear/frigate:stable volumes: - ./config:/config - ./storage:/media/frigate - type: tmpfs # 1GB In-memory filesystem for recording segment storage target: /tmp/cache tmpfs: size: 1000000000 ports: - "8971:8971" - "8554:8554" # RTSP feeds ``` Now you should be able to start Frigate by running `docker compose up -d` from within the folder containing `docker-compose.yml`. On startup, an admin user and password will be created and outputted in the logs. You can see this by running `docker logs frigate`. Frigate should now be accessible at `https://server_ip:8971` where you can login with the `admin` user and finish configuration using the Settings UI. ## Configuring Frigate This section assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/frigate/camera_setup). Pay particular attention to the section on choosing a detect resolution. ### Step 1: Start Frigate At this point you should be able to start Frigate and a basic config will be created automatically. ### Step 2: Add a camera Click the **Add Camera** button in to use the camera setup wizard to get your first camera added into Frigate. ### Step 3: Configure hardware acceleration (recommended) Now that you have a working camera configuration, set up hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration_video.md) docs for examples applicable to your hardware. :::note Hardware acceleration requires passing the appropriate device to the Docker container. For Intel and AMD GPUs, add the device to your `docker-compose.yml`: ```yaml {4,5} services: frigate: ... devices: - /dev/dri/renderD128:/dev/dri/renderD128 # for intel & amd hwaccel, needs to be updated for your hardware ... ``` After modifying, run `docker compose up -d` to apply changes. ::: Navigate to and set **Hardware acceleration arguments** to the appropriate preset for your hardware (e.g., `VAAPI (Intel/AMD GPU)` for most Intel processors). ```yaml mqtt: ... cameras: name_of_your_camera: ffmpeg: inputs: ... # highlight-next-line hwaccel_args: preset-vaapi detect: ... ``` ### Step 4: Configure detectors By default, Frigate will use a single OpenVINO detector running on the CPU. In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.
Use Intel OpenVINO detector You need to refer to **Configure hardware acceleration** above to enable the container to use the GPU. 1. Navigate to and add a detector with **Type** `OpenVINO` and **Device** `GPU` 2. On the same page, in the **Custom Model** tab, configure the model settings for OpenVINO: | Field | Value | | ---------------------------------------- | ------------------------------------------ | | **Object detection model input width** | `300` | | **Object detection model input height** | `300` | | **Model Input Tensor Shape** | `nhwc` | | **Model Input Pixel Color Format** | `bgr` | | **Custom object detector model path** | `/openvino-model/ssdlite_mobilenet_v2.xml` | | **Label map for custom object detector** | `/openvino-model/coco_91cl_bkgr.txt` | ```yaml {3-6,9-15,20-21} mqtt: ... detectors: # <---- add detectors ov: type: openvino # <---- use openvino detector device: GPU # We will use the default MobileNet_v2 model from OpenVINO. model: width: 300 height: 300 input_tensor: nhwc input_pixel_format: bgr path: /openvino-model/ssdlite_mobilenet_v2.xml labelmap_path: /openvino-model/coco_91cl_bkgr.txt cameras: name_of_your_camera: ffmpeg: ... detect: enabled: True # <---- turn on detection ... ```
If you have a USB Coral, you will need to add a detectors section to your config.
Use USB Coral detector :::note You need to pass the USB Coral device to the Docker container. Add the following to your `docker-compose.yml` and run `docker compose up -d`: ```yaml {4-6} services: frigate: ... devices: - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://github.com/jnicolson/gasket-builder ... ``` ::: Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb`. ```yaml {3-6,11-12} mqtt: ... detectors: # <---- add detectors coral: type: edgetpu device: usb cameras: name_of_your_camera: ffmpeg: ... detect: enabled: True # <---- turn on detection ... ```
More details on available detectors can be found [here](../configuration/object_detectors.md). Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they can be configured in or via the [configuration file reference](../configuration/advanced/reference.md). ### Step 5: Setup motion masks Now that you have optimized your configuration for decoding the video stream, you will want to check to see where to implement motion masks. Click on the camera from the main dashboard, then select the gear icon in the top right, enable Debug View, and finally enable the switch for Motion Boxes. Watch for areas that continuously trigger unwanted motion to be detected. Common areas to mask include camera timestamps and trees that frequently blow in the wind. The goal is to avoid wasting object detection cycles looking at these areas. Use the mask editor to draw polygon masks directly on the camera feed. Navigate to and set up a motion mask over the area. More information about masks can be found [here](../configuration/masks.md). :::warning Note that motion masks should not be used to mark out areas where you do not want objects to be detected or to reduce false positives. They do not alter the image sent to object detection, so you can still get tracked objects, alerts, and detections in areas with motion masks. These only prevent motion in these areas from initiating object detection. ::: If you are using YAML to configure Frigate instead of the UI, your configuration should look similar to this now: ```yaml {16-18} mqtt: enabled: False detectors: coral: type: edgetpu device: usb cameras: name_of_your_camera: ffmpeg: inputs: - path: rtsp://10.0.10.10:554/rtsp roles: - detect motion: mask: motion_area: friendly_name: "Motion mask" enabled: true coordinates: "0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432" ``` ### Step 6: Enable recordings In order to review activity in the Frigate UI, recordings need to be enabled. 1. If you have separate streams for detect and record, navigate to , select your camera, and add a second input with the `record` role pointing to your high-resolution stream 2. Navigate to (or for a specific camera) and set **Enable recording** to on ```yaml {16-17} mqtt: ... detectors: ... cameras: name_of_your_camera: ffmpeg: inputs: - path: rtsp://10.0.10.10:554/rtsp roles: - detect - path: rtsp://10.0.10.10:554/high_res_stream # <----- Add stream you want to record from roles: - record detect: ... record: # <----- Enable recording enabled: True motion: ... ``` If you don't have separate streams for detect and record, you would just add the record role to the list on the first input. :::note If you only define one stream in your `inputs` and do not assign a `detect` role to it, Frigate will automatically assign it the `detect` role. Frigate will always decode a stream to support motion detection, Birdseye, the API image endpoints, and other features, even if you have disabled object detection with `enabled: False` in your config's `detect` section. If you only plan to use Frigate for recording, it is still recommended to define a `detect` role for a low resolution stream to minimize resource usage from the required stream decoding. ::: By default, Frigate will retain video of all tracked objects for 10 days. The full set of options for recording can be found [here](../configuration/advanced/reference.md). ### Step 7: Complete config At this point you have a complete config with basic functionality. - View [common configuration examples](../configuration/config.md#common-configuration-examples) for a list of common configuration examples. - View [full config reference](../configuration/advanced/reference.md) for a complete list of configuration options. ### Follow up Now that you have a working install, you can use the following documentation for additional features: 1. [Zones](../configuration/zones.md) 2. [Review](../configuration/review.md) 3. [Masks](../configuration/masks.md) 4. [Home Assistant Integration](../integrations/home-assistant.md) - Integrate with Home Assistant