* Merge nearby horizontal boxes
* only publish to recognized plate field if object already has a sub label
* don't overwrite sub labels in any situation
* always publish sub label if it's a known plate
* remove license plate from attributes for dedicated lpr cameras
* ensure we always have a color
* use frigate+ models with dedicated lpr cameras
* docs
* docs clarity
* docs enrichments
* use license_plate as object type
* Section faces by event id
* Make score keeping more robust
* layout improvements
* Cleanup dialog
* Fix clicking behavior
* Add view in explore option
* math.round
* Don't require events
* Cleanup
* Remove selection
* Don't require
* Change dialog size with snapshot
* Use filename as key
* fix key
* Rework layout for mobile
* Handle mobile landscape
* Fix train issue
* Match logic
* Move deletion logic
* Fix reprocessing
* Support creating a new face
* Translations
* Do sorting in frontend
* Adjust unknown
* Cleanup
* Set max limit to faces to recognize
* Fix sorting
* 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
* Don't assume landmark file is downloaded
* Rewrite build model task to be asynchronous so it doesn't block the pipeline
* Handle case where face recognition does not respond
* Cleanup
* Make daemon thread
* 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
* docs fps recommendation
* add detection_threshold to example
* send uncoverted yuv frame
* copy and convert
* ensure thumbnail is encoded as webp
* keep as jpeg
* 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
* Ensure doesn't fail due to missing dir
* Remove redundant settings from tabs
* Adjust selection method for mobile
* Fix button descendent error
* Ensure train is option on mobile
* Cleanup face images
* Cleanup
* Add api to run face recognition on image
* Rework save attempts option
* Cleanup mobile object pane buttons
* Adjust api signature
* Remove param
* Cleanup
* Set maximum number of face images to be kept
* Fix vertical camera scaling
* adjust wording
* Add attributes to search data
* Add button to train face from event
* Handle event id saving in API
* Fix login page
* Increase face image size and add time ago
* Add component for indicating steps in a wizard
* Split out form inputs from dialog
* Add wizard for adding new face to library
* Simplify dialog
* Translations
* Fix scaling bug
* Fix key missing
* Improve multi select
* Adjust wording and spacing
* Add tip for face training
* Fix padding
* Remove text for buttons on mobile
* backend
* backend fixes
* api for search queries
* frontend
* docs
* add filterable scroll list to more filters pane for identifiers
* always publish identifier
* recordings data pub/sub
* function to process recording stream frames
* model runner
* lpr model runner
* refactor to mixin class and use model runner
* separate out realtime and post processors
* move model and mixin folders
* basic postprocessor
* clean up
* docs
* postprocessing logic
* clean up
* return none if recordings are disabled
* run postprocessor handle_requests too
* tweak expansion
* add put endpoint
* postprocessor tweaks with endpoint
* Move onnx runner
* Build out base embedding
* Convert text embedding to separate class
* Move image embedding to separate
* Move LPR to separate class
* Remove mono embedding
* Simplify model downloading
* Reorganize jina v1 embeddings
* Cleanup
* Cleanup for review
* 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
