* 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
* 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
* 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
* 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
* 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>
* 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
* 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
* Add api to run face recognition on image
* Rework save attempts option
* Cleanup mobile object pane buttons
* Adjust api signature
* Remove param
* Cleanup
* use a small yolov9 model for detection
* use yolov9 for users without frigate+ and update retention algorithm
* new lpr config fields
* levenshtein distance package
* tweaks
* docs
* Start working on bird processor
* Initial setup for bird processing
* Improvements to handling
* Get classification working
* Cleanup classification
* Add classification config
* Update sort
