* Update docs for review descriptions
* Add logging for context tokens used
* Incrase number of images due to lower than expected context usage
* Re-balance the suspicious activity checks
* Adjustments to context sizing
* optimize context usage
* Adjust context usage
* Make title more direct
* Update docs
* Adjust for commutes
* Tweaks
* Don't show no models view in grid
* Add text-md to inputs
* Adjust train title for mobile
* Cleanup prompt more
* Use i18n functions for tooltip
* Fix model complexity causing crash
* Cleanup
* Make prompt more fair and reduce time extension
* Adjust naming of unrecognized objects
* Improve object naming behavior
* Add more context image levels
* Add cutoff for object classification
* Add selector for classifiction model type
* Improve model selection view
* Clean up design of classification card
* Tweaks
* Adjust button colors
* Improvements to gradients and making face library consistent
* Add basic classification model wizard
* Use relative coordinates
* Properly get resolution
* Clean up exports
* Cleanup
* Cleanup
* Update to use pre-defined component for image shadow
* Refactor image grouping
* Clean up mobile
* Clean up decision logic
* Remove max check on classification objects
* Increase default number of faces shown
* Cleanup
* Improve mobile layout
* Clenaup
* Update vocabulary
* Fix layout
* Fix page
* Cleanup
* Choose last item for unknown objects
* Move explore button
* Cleanup grid
* Cleanup classification
* Cleanup grid
* Cleanup
* Set transparency
* Set unknown
* Don't filter all configs
* Check length
* Add optional idle heartbeat for Birdseye (periodic frame emission when idle)
birdseye: add optional idle heartbeat and FFmpeg tuning envs (default off)
This adds an optional configuration field `birdseye.idle_heartbeat_fps` to
enable a lightweight idle heartbeat mechanism in Birdseye. When set to a value
greater than 0, Birdseye periodically re-sends the last composed frame during
idle periods (no motion or active updates).
This helps downstream consumers such as go2rtc, Alexa, or Scrypted to attach
faster and maintain a low-latency RTSP stream when the system is idle.
Key details:
- Config-based (`birdseye.idle_heartbeat_fps`), default `0` (disabled).
- Uses existing Birdseye rendering pipeline; minimal performance impact.
- Does not alter behavior when unset.
Documentation: added tip section in docs/configuration/restream.md.
* Update docs/docs/configuration/restream.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/reference.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Refactors Birdseye idle frame broadcasting
Simplifies the idle frame broadcasting logic by removing the dedicated thread.
The idle frame is now resent directly within the main loop,
improving efficiency and reducing complexity. Also, limits the idle
heartbeat FPS to a maximum of 10 since the framebuffer is limited to 10 anyway
* ruff fix
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Francesco Durighetto <francesco.durighetto@subbyx.com>
Co-authored-by: duri <duri@homelabubuntu.durihome.unifi>
* camera level config
* set up model runner on thread start to avoid unpickling error
* ensure feature is enabled globally
* suppress info logs from faster_whisper
* fix incorrect event_type for api and audio timeline entries
* docs
* fix
* clean up
* Implement stationary car classifier to base stationary state on visual changes and not just bounding box stability
* Cleanup
* Fix mypy
* Move to new file and add config to disable if needed
* Cleanup
* Undo
This supports systemd credentials, see https://systemd.io/CREDENTIALS/.
Default to `/run/secrets` (the Docker Secrets dir) for backwards
compatibility.
* continue to use paddleocr v3 text detection model for large
v5 was not finding text on multi-line plates at all in testing
* implement clustering of plate variants per event
should reduce OCR inconsistencies and improve plate recognition stability by using string similarity to cluster similar variants (10 per event id) and choosing the highest confidence representative as the final plate
* pass camera
* prune number of variants based on detect fps
* implement replacement rules for cleaning up and normalizing plates
* docs
* docs
* update config for roles and add validator
* ensure admin and viewer are never overridden
* add class method to user to retrieve all allowed cameras
* enforce config roles in auth api endpoints
* add camera access api dependency functions
* protect review endpoints
* protect preview endpoints
* rename param name for better fastapi injection matching
* remove unneeded
* protect export endpoints
* protect event endpoints
* protect media endpoints
* update auth hook for allowed cameras
* update default app view
* ensure anonymous user always returns all cameras
* limit cameras in explore
* cameras is already a list
* limit cameras in review/history
* limit cameras in live view
* limit cameras in camera groups
* only show face library and classification in sidebar for admin
* remove check in delete reviews
since admin role is required, no need to check camera access. fixes failing test
* pass request with camera access for tests
* more async
* camera access tests
* fix proxy auth tests
* allowed cameras for review tests
* combine event tests and refactor for camera access
* fix post validation for roles
* don't limit roles in create user dialog
* fix triggers endpoints
no need to run require camera access dep since the required role is admin
* fix type
* create and edit role dialogs
* delete role dialog
* fix role change dialog
* update settings view for roles
* i18n changes
* minor spacing tweaks
* docs
* use badges and camera name label component
* clarify docs
* display all cameras badge for admin and viewer
* i18n fix
* use validator to prevent reserved and empty roles from being assigned
* split users and roles into separate tabs in settings
* tweak docs
* clarify docs
* change icon
* don't memoize roles
always recalculate on component render
* Refactor active objects to class
* Keep segment going when detection is newer than end of alert
* Cleanup logic
* Fix
* Cleanup ending
* Adjust timing
* Improve detection saving
* Don't have padding at end for in progress reviews
* Add review config for cutoff times
* refactor: Refactor camera nickname
* fix: fix cameraNameLabel visually
* chore: The Explore search function also displays the Camera's nickname in English
* chore: add mobile page camera nickname
* feat: webpush support camera nickname
* fix: fix storage camera name is null
* chore: fix review detail and context menu camera nickname
* chore: fix use-stats and notification setting camera nickname
* fix: fix stats camera if not nickname need capitalize
* fix: fix debug page open camera web ui i18n and camera nickname support
* fix: fix camera metrics not use nickname
* refactor: refactor use-camera-nickname hook.
* Don't default to openai
* Improve UI
* Allow configuring additional concerns that users may want the AI to note
* Formatting
* Add preferred language config
* Remove unused
* Include extra level for normal activity
* Add dynamic toggling
* Update docs
* Add different threshold for genai
* Adjust webUI for object and review description feature
* Adjust config
* Send on startup
* Cleanup config setting
* Set config
* Fix config name
* Add enum for type of classification for objects
* Update recognized license plate topic to be used as attribute updater
* Update attribute for attribute type object classification
* Cleanup
* semantic trigger test
* database and model
* config
* embeddings maintainer and trigger post-processor
* api to create, edit, delete triggers
* frontend and i18n keys
* use thumbnail and description for trigger types
* image picker tweaks
* initial sync
* thumbnail file management
* clean up logs and use saved thumbnail on frontend
* publish mqtt messages
* webpush changes to enable trigger notifications
* add enabled switch
* add triggers from explore
* renaming and deletion fixes
* fix typing
* UI updates and add last triggering event time and link
* log exception instead of return in endpoint
* highlight entry in UI when triggered
* save and delete thumbnails directly
* remove alert action for now and add descriptions
* tweaks
* clean up
* fix types
* docs
* docs tweaks
* docs
* reuse enum
* Move log level initialization to log
* Use logger config
* Formatting
* Fix config order
* Set process names
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add base class for global config updates
* Add or remove camera states
* Move camera process management to separate thread
* Move camera management fully to separate class
* Cleanup
* Stop camera processes when stop command is sent
* Start processes dynamically when needed
* Adjust
* Leave extra room in tracked object queue for two cameras
* Dynamically set extra config pieces
* Add some TODOs
* Fix type check
* Simplify config updates
* Improve typing
* Correctly handle indexed entries
* Cleanup
* Create out SHM
* Use ZMQ for signaling object detectoin is completed
* Get camera correctly created
* Cleanup for updating the cameras config
* Cleanup
* Don't enable audio if no cameras have audio transcription
* Use exact string so similar camera names don't interfere
* Add ability to update config via json body to config/set endpoint
Additionally, update the config in a single rather than multiple calls for each updated key
* fix autotracking calibration to support new config updater function
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Refactor common functions for tflite detector implementations
* Add detector using mesa teflon delegate
Non-EdgeTPU TFLite can use the standard .tflite format
* Add mesa-teflon-delegate from bookworm-backports to arm64 images
* Implement model training via ZMQ and add model states to represent training
* Get model updates working
* Improve toasts and model state
* Clean up logging
* Add back in
* install new packages for transcription support
* add config options
* audio maintainer modifications to support transcription
* pass main config to audio process
* embeddings support
* api and transcription post processor
* embeddings maintainer support for post processor
* live audio transcription with sherpa and faster-whisper
* update dispatcher with live transcription topic
* frontend websocket
* frontend live transcription
* frontend changes for speech events
* i18n changes
* docs
* mqtt docs
* fix linter
* use float16 and small model on gpu for real-time
* fix return value and use requestor to embed description instead of passing embeddings
* run real-time transcription in its own thread
* tweaks
* publish live transcriptions on their own topic instead of tracked_object_update
* config validator and docs
* clarify docs
* Start Frigate in safe mode when config does not validate
* Add safe mode page that is just the config editor
* Adjust Frigate config editor when in safe mode
* Cleanup
* Improve log message
* Add basic config for defining a teachable machine model
* Add model type
* Add basic config for teachable machine models
* Adjust config for state and object
* Use config to process
* Correctly check for objects
* Remove debug
* Rename to not be teachable machine specific
* Cleanup
* Include config publisher in api
* Call update topic for passed topics
* Update zones dynamically
* Update zones internally
* Support zone and mask reset
* Handle updating objects config
* Don't put status for needing to restart Frigate
* Cleanup http tests
* Fix tests
