NVR with realtime local object detection for IP cameras
Full Changelog: https://github.com/blakeblackshear/frigate/compare/v0.13.1...v0.13.2
Full Changelog: https://github.com/blakeblackshear/frigate/compare/v0.13.0...v0.13.1
Beta docs for this release: https://deploy-preview-6262--frigate-docs.netlify.app
interval: 0
will need to delete this field from the config or increase the valuefrigate.db
: Due to the support for network shares in HA OS and the popularity of storing recordings on a NAS in general, the database has a new default location of /config/frigate.db
. This change is going to be done for existing users too, so frigate will automatically move the db for you.
For Frigate Addon Users: The migration is handled automatically and no action is required from the user.
For Docker Container Users:
The migration is handled for you, but you must make sure that the docker CLI or docker-compose binds the entire /config
directory and not just the /config/config.yml
file.
For example, if your current volume mapping is - /host/path/config_folder/config.yml:/config/config.yml
it should now be - /host/path/config_folder/:/config/
record -> retain_days
config has been removed, this should be migrated to record -> retain -> days
if you have not already.Frigate+ models are now rolling out by invitation. If you would like to be invited for early access to purchase a subscription, please send an email to [email protected] from the email address on your Frigate+ account. For more information, see this discussion.
You can now submit false positive detections to Frigate+ for training feedback. Note that you will still need to login to your Frigate+ account and verify the images to ensure all relevant objects are labeled before the image will be used during training. Confirming the object is a true positive will also upload the image.
Frigate+ models are almost ready for launch, and this release has support for automatically downloading from Frigate+. The model and related information are stored at /config/model_cache
. Once Frigate+ models are launched, you will be able to use the model id in your config.
model:
path: plus://e63b7345cc83a84ed79dedfc99c16616
In version 0.12 Frigate gained support for Intel iGPUs via OpenVINO and for Nvidia GPUs, this was a great step forward for compatibility and for more users being able to use Frigate effectively. There are many other devices, including dedicated SBCs (Small Board Computers), that Frigate could support but the maintainers do not have the time or hardware to support.
The community supported boards framework will allow community members who want to contribute to create and manage support for a particular board. This will allow Frigate to support more devices while allowing the maintainers to focus on improving the core of Frigate.
@madsciencetist is the first to contribute a community supported board build by adding support for Jetson 4.6 and Jetson 5 devices!
More information can be found in the detector docs on how to set this up.
There have been many improvements to object tracking and motion detection which make Frigate more efficient and can reduce false positives.
Frigate now uses Norfair for object tracking, this means that object attributes like size, width/height ratio, and position are used to intelligently track objects. ID swapping between tracked objects is greatly reduced in situations where a car in the driveway was confused with a car passing in the street.
Frigate's motion detection is now more efficient. Motion detection will also re-calibrate for flashes like lightning or when the camera switches from color to IR mode or it is moved via PTZ. This reduces CPU usage during these changes and reduces false positives caused by excessive motion.
Frigate now has a configurable field for the minimum amount of time an object needs to be in a zone before it is considered in a zone. For example, currently in Frigate if you have a front_yard zone and someone is walking by and briefly steps into the front yard Frigate would create an event for this. However, you may prefer for events to only be created if a person is in the front yard for multiple frames before creating an event.
zones:
my_zone:
inertia: 3 # <- 3 consecutive frames needed to consider object in zone
coordinates: ...
There have been a number of improvements to the management of recordings
Frigate now supports exporting recordings in standard format or as a time-lapse. Exported recordings are stored in /media/frigate/exports
and are downloadable from the UI.
Frigate now saves metadata for key moments in an event such as when the tracked object is detected, enters or exits zone, becomes active / stationary, and leaves. This metadata is used to overlay on top of the recordings so it is easy to see what was detected and where. Note that the timing of the bounding boxes will likely be slightly off because it is based on the detect stream, but overlayed on the record stream. The annotation_offset
value in the config can be used to adjust for any differences.
There have been many improvements to the recordings management process to make it faster and more efficient:
sync_on_startup
enabled which will check for recordings in the db that are not on the disk and delete themFrigate now supports audio events via YamNet. Over 600 labels are included so there are too many to list here, but Frigate can listen to a cameras audio feed to create events and update MQTT when speech, yell, fire alarm, dog bark, etc. are heard. Version 5.0 of the HomeAssistant integration also supports sensors for these audio detections so automations can be fired when certain types of audio are detected.
Frigate now supports creating events manually via the API. This means that custom events can be created, for example an event when the doorbell is pressed or a sensor is tripped. The API allows full control of event length, if recordings should be saved, and much more. The request and response can be seen in the documentation.
Curl Example:
curl -X POST "http://<frigate_ip>:5000/api/events/front_doorbell_cam/doorbell/create" -H Content-Type:\ application/json
Frigate now supports PTZ cameras.
https://deploy-preview-6262--frigate-docs.netlify.app/configuration/autotracking
Along with Frigate's improved tracking algorithm, basic autotracking is now supported. Not all PTZ cameras will support this as relative movement is required (see the docs for more details).
Frigate also supports controlling PTZ cameras in the WebUI and via the Home Assistant Integration.
ghcr.io/blakeblackshear/frigate:0.13.0-beta2
ghcr.io/blakeblackshear/frigate:0.13.0-beta2-standard-arm64
ghcr.io/blakeblackshear/frigate:0.13.0-beta2-tensorrt
ghcr.io/blakeblackshear/frigate:0.13.0-beta2-tensorrt-jp4
ghcr.io/blakeblackshear/frigate:0.13.0-beta2-tensorrt-jp5
Full Changelog: https://github.com/blakeblackshear/frigate/compare/v0.13.0-beta1...v0.13.0-beta2