* Start working on bird processor
* Initial setup for bird processing
* Improvements to handling
* Get classification working
* Cleanup classification
* Add classification config
* Update sort
* 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
* Get stats for embeddings inferences
* cleanup embeddings inferences
* Enable UI for feature metrics
* Change threshold
* Fix check
* Update python for actions
* Set python version
* Ignore type for now
* Support downloading face models
* Handle download and loading correctly
* Add face dir creation
* Fix error
* Fix
* Formatting
* Move upload to button
* Show number of faces in library for each name
* Add text color for score
* Cleanup
* 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 margin to detected faces for embeddings
* Standardize pixel values for face input
* Use SVC to classify faces
* Clear classifier when new face is added
* Formatting
* Add dependency
* Update version
* Face recognition backend (#14495)
* 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
* Improve face recognition (#14537)
* Increase requirements for face to be set
* Manage faces properly
* Add basic docs
* Simplify
* Separate out face recognition frome semantic search
* Update docs
* Formatting
* Fix access (#14540)
* Face detection (#14544)
* Add support for face detection
* Add support for detecting faces during registration
* Set body size to be larger
* Undo
* Update version
* Face recognition backend (#14495)
* 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
* Improve face recognition (#14537)
* Increase requirements for face to be set
* Manage faces properly
* Add basic docs
* Simplify
* Separate out face recognition frome semantic search
* Update docs
* Formatting
* Fix access (#14540)
* Face detection (#14544)
* Add support for face detection
* Add support for detecting faces during registration
* Set body size to be larger
* Undo
* initial foundation for alpr with paddleocr
* initial foundation for alpr with paddleocr
* initial foundation for alpr with paddleocr
* config
* config
* lpr maintainer
* clean up
* clean up
* fix processing
* don't process for stationary cars
* fix order
* fixes
* check for known plates
* improved length and character by character confidence
* model fixes and small tweaks
* docs
* placeholder for non frigate+ model lp detection
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Increase requirements for face to be set
* Manage faces properly
* Add basic docs
* Simplify
* Separate out face recognition frome semantic search
* Update docs
* Formatting
* 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
* GenAI: add ability to save JPGs sent to provider
* Remove mention from GenAI docs
* Change config name to debug_save_thumbnails
* Change folder structure to clips/genai-requests/{event_id}/{1.jpg}
* only save a fixed number of thumbnails if genai is enabled
* disable cpu_mem_arena to save on memory until its actually needed
* fix search settings pane so it actually saves to the config
* Handle Frigate+ submitted case
* Add search settings and rename general to ui settings
* Add platform aware sheet component
* use two columns on mobile view
* Add cameras page to more filters
* clean up search settings view
* Add time range to side filter
* better match with ui settings
* fix icon size
* use two columns on mobile view
* clean up search settings view
* Add zones and saving logic
* Add all filters to side panel
* better match with ui settings
* fix icon size
* Fix mobile fitler page
* Fix embeddings access
* Cleanup
* Fix scroll
* fix double scrollbars and add separators on mobile too
* two columns on mobile
* italics for emphasis
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Remove device config and use model size to configure device used
* Don't show Frigate+ submission when in progress
* Add docs link for bounding box colors
* Use cosine distance metric for vec tables
* Only apply normalization to multi modal searches
* Catch possible edge case in stddev calc
* Use sigmoid function for normalization for multi modal searches only
* Ensure we get model state on initial page load
* Only save stats for multi modal searches and only use cosine similarity for image -> image search
