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f682203f9d
@ -108,21 +108,20 @@ According to [this discussion](https://github.com/blakeblackshear/frigate/issues
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```yaml
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go2rtc:
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streams:
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reolink:
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- http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password
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- "ffmpeg:reolink#audio=opus"
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reolink_sub:
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- http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password
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your_reolink_camera:
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- "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password#video=copy#audio=copy#audio=opus"
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your_reolink_camera_sub:
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- "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password"
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cameras:
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reolink:
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ffmpeg:
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inputs:
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- path: rtsp://127.0.0.1:8554/reolink?video=copy&audio=aac
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- path: rtsp://127.0.0.1:8554/your_reolink_camera?video=copy&audio=aac
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input_args: preset-rtsp-restream
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roles:
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- record
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- path: rtsp://127.0.0.1:8554/reolink_sub?video=copy
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- path: rtsp://127.0.0.1:8554/your_reolink_camera_sub?video=copy
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input_args: preset-rtsp-restream
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roles:
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- detect
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@ -44,8 +44,6 @@ detectors:
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coral:
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type: edgetpu
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device: usb
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model:
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path: "/custom_model.tflite"
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```
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### Multiple USB Corals
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@ -31,7 +31,7 @@ My current favorite is the Minisforum GK41 because of the dual NICs that allow y
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## Detectors
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A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the epectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance.
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A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance.
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### Google Coral TPU
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@ -149,12 +149,14 @@ docker run -d \
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ghcr.io/blakeblackshear/frigate:stable
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```
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## Home Assistant Operating System (HassOS)
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## Home Assistant Addon
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:::caution
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As of HomeAssistant OS 10.2 and Core 2023.6 defining separate network storage for media is supported.
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There are important limitations in Home Assistant Operating System to be aware of:
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- Utilizing external storage for recordings or snapshots requires [modifying udev rules manually](https://community.home-assistant.io/t/solved-mount-usb-drive-in-hassio-to-be-used-on-the-media-folder-with-udev-customization/258406/46).
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- Separate local storage for media is not yet supported by Home Assistant
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- AMD GPUs are not supported because HA OS does not include the mesa driver.
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- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
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@ -162,7 +164,7 @@ There are important limitations in Home Assistant Operating System to be aware o
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:::tip
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If possible, it is recommended to run Frigate standalone in Docker and use [Frigate's Proxy Addon](https://github.com/blakeblackshear/frigate-hass-addons/blob/main/frigate_proxy/README.md).
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See [the network storage guide](/guides/ha_network_storage.md) for instructions to setup network storage for frigate.
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:::
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@ -185,32 +187,6 @@ There are several versions of the addon available:
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| Frigate NVR Beta | Beta release with protection mode on |
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| Frigate NVR Beta (Full Access) | Beta release with the option to disable protection mode |
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## Home Assistant Supervised
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:::caution
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There are important limitations in Home Assistant Supervised to be aware of:
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- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
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:::
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:::tip
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If possible, it is recommended to run Frigate standalone in Docker and use [Frigate's Proxy Addon](https://github.com/blakeblackshear/frigate-hass-addons/blob/main/frigate_proxy/README.md).
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:::
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When running Home Assistant with the [Supervised install method](https://github.com/home-assistant/supervised-installer), you can get the benefit of running the Addon along with the ability to customize the storage used by Frigate.
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In order to customize the storage location for Frigate, simply use `fstab` to mount the drive you want at `/usr/share/hassio/media`. Here is an example fstab entry:
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```shell
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UUID=1a65fec6-c25f-404a-b3d2-1f2fcf6095c8 /media/data ext4 defaults 0 0
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/media/data/homeassistant/media /usr/share/hassio/media none bind 0 0
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```
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Then follow the instructions listed for [Home Assistant Operating System](#home-assistant-operating-system-hassos).
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## Kubernetes
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Use the [helm chart](https://github.com/blakeblackshear/blakeshome-charts/tree/master/charts/frigate).
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@ -224,9 +200,9 @@ To install make sure you have the [community app plugin here](https://forums.unr
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It is recommended to run Frigate in LXC for maximum performance. See [this discussion](https://github.com/blakeblackshear/frigate/discussions/1111) for more information.
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## ESX
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## ESXi
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For details on running Frigate under ESX, see details [here](https://github.com/blakeblackshear/frigate/issues/305).
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For details on running Frigate using ESXi, please see the instructions [here](https://williamlam.com/2023/05/frigate-nvr-with-coral-tpu-igpu-passthrough-using-esxi-on-intel-nuc.html).
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## Synology NAS on DSM 7
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@ -6,7 +6,8 @@ title: Configuring go2rtc
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Use of the bundled go2rtc is optional. You can still configure FFmpeg to connect directly to your cameras. However, adding go2rtc to your configuration is required for the following features:
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- WebRTC or MSE for live viewing with higher resolutions and frame rates than the jsmpeg stream which is limited to the detect stream
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- RTSP (instead of RTMP) relay for use with Home Assistant or other consumers to reduce the number of connections to your camera streams
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- Live stream support for cameras in Home Assistant Integration
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- RTSP (instead of RTMP) relay for use with other consumers to reduce the number of connections to your camera streams
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# Setup a go2rtc stream
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@ -21,3 +21,5 @@ For object filters in your configuration, any single detection below `min_score`
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| 6 | 0.95 | 0.7, 0.85, 0.95, 0.90, 0.88, 0.95 | 0.89 | Yes |
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In frame 2, the score is below the `min_score` value, so Frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.
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If you're seeing false positives from stationary objects, please see Object Masks here: https://docs.frigate.video/configuration/masks/
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45
docs/docs/guides/ha_network_storage.md
Normal file
45
docs/docs/guides/ha_network_storage.md
Normal file
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---
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id: ha_network_storage
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title: HA Network Storage
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---
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As of HomeAsisstant Core 2023.6, Network Mounted Storage is supported for addons.
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## Setting Up Remote Storage For Frigate
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### Prerequisites
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- HA Core 2023.6 or newer is installed
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- Running HA OS 10.2 or newer OR Running Supervised with latest os-agent installed (this is required for superivsed install)
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### Initial Setup
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1. Stop the Frigate addon
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2. Update your [config](configuration/index.md) so the DB is stored in the /config directory by adding:
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```yaml
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database:
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path: /config/frigate.db
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```
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### Move current data
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Keeping the current data is optional, but the data will need to be moved regardless so the share can be created successfully.
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#### If you want to keep the current data
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1. Move the frigate.db, frigate.db-shm, frigate.db-wal files to the /config directory
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2. Rename the /media/frigate folder to /media/frigate_tmp
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#### If you don't want to keep the current data
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1. Delete the /media/frigate folder and all of its contents
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### Create the media share
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1. Go to **Settings -> System -> Storage -> Add Network Storage**
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2. Name the share `frigate` (this is required)
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3. Choose type `media`
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4. Fill out the additional required info for your particular NAS
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5. Connect
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6. Move files from `/media/frigate_tmp` to `/media/frigate` if they were kept in previous step
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7. Start the Frigate addon
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@ -13,7 +13,8 @@ Please use your own knowledge to assess and vet them before you install anything
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:::
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## [Double Take](https://github.com/jakowenko/double-take)
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## [Double Take](https://github.com/skrashevich/double-take)
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[Double Take](https://github.com/jakowenko/double-take) provides an unified UI and API for processing and training images for facial recognition.
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[Double Take](https://github.com/skrashevich/double-take) provides an unified UI and API for processing and training images for facial recognition.
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It supports automatically setting the sub labels in Frigate for person objects that are detected and recognized.
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This is a fork (with fixed errors and new features) of [original Double Take](https://github.com/jakowenko/double-take) project which, unfortunately, isn't being maintained by author.
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@ -40,3 +40,9 @@ If you see repeated "On connect called" messages in your logs, check for another
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### Error: Database Is Locked
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SQLite does not work well on a network share, if the `/media` folder is mapped to a network share then [this guide](../configuration/advanced.md#database) should be used to move the database to a location on the internal drive.
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### Unable to publish to MQTT: client is not connected
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If MQTT isn't working in docker try using the IP of the device hosting the MQTT server instead of `localhost`, `127.0.0.1`, or `mosquitto.ix-mosquitto.svc.cluster.local`.
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This is because, by default, Frigate does not run in host mode so localhost points to the Frigate container and not the host device's network.
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@ -11,6 +11,7 @@ module.exports = {
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"guides/configuring_go2rtc",
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"guides/false_positives",
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"guides/ha_notifications",
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"guides/ha_network_storage",
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"guides/stationary_objects",
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"guides/reverse_proxy",
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],
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