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
* improve spacing of face selection in mobile drawer
* fix spacing
* sort face names alphabetically
* Improve face selection dialog
* Use a state to track when face image loads
The naturalWidth and naturalHeight will always be 0 until the image loads. So we use onLoad and a state to track loading and then calculate the area after it has loaded
* Verify that a camera only tracks objects that are possible to track
* Fix test
* genai docs tweak
* Disable openvino model cache
* Clenaup
* Sanitize floats for estimated speed and angle
Users can configure speed zones in such a way that velocity estimates from Norfair cause a value of inf to be stored as an estimated speed. FastAPI doesn't serialize inf as a float, so trying to return this value would result in an API error. Sanitizing the value before storing should correct this.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add option to not trim clip
* Improve API
* Update snapshot for new best objects
* Fix missing strings
* Convert to separate key
* Always include bounding box on snapshots
* improve autotracking relative zooming time calculation
* update proxy docs to note the need for comma separated header roles
* Add count translation
* tracked object lifecycle i18n fix
* update speed estimation docs
* clarity
* Re-initialize onvif information when toggling camera on live view
* Move time ago to card info and add face area
* Clarify face recognition docs
* Increase minimum face recognition area
* use clipFrom to in vod module endpoint to start at the correct time
* Cleanup media api
* Don't change duration
* Use search detail dialog for face library
* Move to segment based
* Cleanup
* Add back duration modification
* clean up docs
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* frigate+ pane i18n fix
* catch more exceptions
* explore search result tooltip i18n fix
* i18n fix
* remove comments about deprecated strftime_fmt
* Catch producers exists but is None
* Formatting
* fix live camera view i18n
* Add default role config for proxy users
This allows users to specify a default role for users when using a proxy for auth. This can be useful for users who can't/don't want to define a header mapping for the remote-role header.
* update reference config and auth docs
* clarify face rec camera level config
* clarify auth docs
* Fix onnx not working with openvino
* Update openvino to fix failed npu plugin check
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* add zoom time to movement predictions
* config migrator
* add space to face rename regex
* more debug
* only calculate zoom time of relative move
* fix test
* make migrated movement weight a zero
* check for str and bool for movestatus support
* Only auto-populate some config fields down to the camera level
- Don't populate LPR and face global-only settings down to the camera level
- Ensure LPR mixin uses camera level min_area
- Explicitly forbid extra config values for LPR and face
* lpr docs tweak
* remove extra text already in i18n key
* consistency
* add support for multi-line plates
* config for model size
* default to small model
* add license plate as attribute to motorcycle
* use model size
* docs
* attribute map
* i18n key fix
* add config validator for face and lpr
* more lpr docs tweaks
* fix object lifecycle point clicking for aspect ratios less than 16/9
* fix semantic search indexing i18n keys
* remove ability to set system language
* clarify debug output
* Increase frequency of updates when internal face detection is used
* Adjust number of required faces based on detection type
* Adjust min_score config to unknown_score
* Only for person
* Improve typing
* Update face rec docs
* Cleanup ui colors
* Cleanup
* Refactor face recognition to allow for running lbph or embedding
* Cleanup
* Use weighted average for faces
* Set correct url
* Cleanup
* Update docs
* Update docs
* Use scipy trimmed mean
* Normalize
* Handle color and gray landmark detection
* Upgrade to new arcface model
* Implement sigmoid function
* Rename
* Rename to arcface
* Fix
* Add face recognition model size to ui config
* Update toast
* config options
* processing in maintainer
* detect and process dedicated lpr plates
* create camera type, add manual event and save snapshot
* use const
* ensure lpr events are always detections, typing fixes
* docs
* docs tweaks
* add preprocessing and penalization for low confidence chars
