* 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
* Setup basic training structure
* Build out route
* Handle model configs
* Add image fetch APIs
* Implement model training screen with dataset selection
* Implement viewing of training images
* Adjust directories
* Implement viewing of images
* Add support for deleting images
* Implement full deletion
* Implement classification model training
* Improve naming
* More renaming
* Improve layout
* Reduce logging
* Cleanup
* 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
* Fix the `Any` typing hint treewide
There has been confusion between the Any type[1] and the any function[2]
in typing hints.
[1] https://docs.python.org/3/library/typing.html#typing.Any
[2] https://docs.python.org/3/library/functions.html#any
* Fix typing for various frame_shape members
Frame shapes are most likely defined by height and width, so a single int
cannot express that.
* Wrap gpu stats functions in Optional[]
These can return `None`, so they need to be `Type | None`, which is what
`Optional` expresses very nicely.
* Fix return type in get_latest_segment_datetime
Returns a datetime object, not an integer.
* Make the return type of FrameManager.write optional
This is necessary since the SharedMemoryFrameManager.write function can
return None.
* Fix total_seconds() return type in get_tz_modifiers
The function returns a float, not an int.
https://docs.python.org/3/library/datetime.html#datetime.timedelta.total_seconds
* Account for floating point results in to_relative_box
Because the function uses division the return types may either be int or
float.
* Resolve ruff deprecation warning
The config has been split into formatter and linter, and the global
options are deprecated.
* face library i18n fixes
* face library i18n fixes
* add ability to use ctrl/cmd S to save in the config editor
* Use datetime as ID
* Update metrics inference speed to start with 0 ms
* fix android formatted thumbnail
* ensure role is comma separated and stripped correctly
* improve face library deletion
- add a confirmation dialog
- add ability to select all / delete faces in collections
* Implement lazy loading for video previews
* Force GPU for large embedding model
* GPU is required
* settings i18n fixes
* Don't delete train tab
* webpush debugging logs
* Fix incorrectly copying zones
* copy path data
* Ensure that cache dir exists for Frigate+
* face docs update
* Add description to upload image step to clarify the image
* Clean up
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Correctly ensure updates are more periodic when lpr or face detection is needed
* Cleanup
* Update api schema
* Don't update for stationary objects
* Simplify check
* Remove
* 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
* 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
* 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
* db migration
* db model
* assign admin role on password reset
* add role to jwt and api responses
* don't restrict api access for admins yet
* use json response
* frontend auth context
* update auth form for profile endpoint
* add access denied page
* add protected routes
* auth hook
* dialogs
* user settings view
* restrict viewer access to settings
* restrict camera functions for viewer role
* add password dialog to account menu
* spacing tweak
* migrator default to admin
* escape quotes in migrator
* ui tweaks
* tweaks
* colors
* colors
* fix merge conflict
* fix icons
* add api layer enforcement
* ui tweaks
* fix error message
* debug
* clean up
* remove print
* guard apis for admin only
* fix tests
* fix review tests
* use correct error responses from api in toasts
* add role to account menu
* 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
* Actually send result to face registration
* Define postprocessing api and move face processing to fit
* Standardize request handling
* Standardize handling of processors
* Rename processing metrics
* Cleanup
* Standardize object end
* Update to newer formatting
* One more
* One more
* Validate faces using cosine distance and SVC
* Formatting
* Use opencv instead of face embedding
* Update docs for training data
* Adjust to score system
* Set bounds
* remove face embeddings
* Update writing images
* Add face library page
* Add ability to select file
* Install opencv deps
* Cleanup
* Use different deps
* Move deps
* Cleanup
* Only show face library for desktop
* Implement deleting
* Add ability to upload image
* Add support for uploading images
* Add basic config and face recognition table
* Reconfigure updates processing to handle face
* Crop frame to face box
* Implement face embedding calculation
* Get matching face embeddings
* Add support face recognition based on existing faces
* Use arcface face embeddings instead of generic embeddings model
* Add apis for managing faces
* Implement face uploading API
* Build out more APIs
* Add min area config
* Handle larger images
* Add more debug logs
* fix calculation
* Reduce timeout
* Small tweaks
* Use webp images
* Use facenet model
