* 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
* 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}
* Organize api files
* Add more API definitions for events
* Add export select by ID
* Typing fixes
* Update openapi spec
* Change type
* Fix test
* Fix message
* Fix tests
* Fix audio events in explore section
Make sure that audio events are listed in the explore section
* Update audio.py
* Hide other submit options
Only allow submits for objects only
* Use custom body for the export recordings endpoint
* Fixed usage of ExportRecordingsBody
* Updated docs to reflect changes to export endpoint
* Fix friendly name and source
* Updated openAPI spec
* Updated documentation for the review endpoint
* Updated documentation for the review/summary endpoint
* Updated documentation for the review/summary endpoint
* Documentation for the review activity audio and motion endpoints
* Added responses for more review.py endpoints
* Added responses for more review.py endpoints
* Fixed review.py responses and proper path parameter names
* Added body model for /reviews/viewed and /reviews/delete
* Updated OpenAPI specification for the review controller endpoints
* Run ruff format frigate
* Drop significant_motion
* Updated frigate-api.yaml
* Deleted total_motion
* Combine 2 models into generic
* 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
* Add config option to select fp16 or quantized jina vision model
* requires_fp16 for text and large models only
* fix model type check
* fix cpu
* pass model size
* add generic onnx model class and use jina ai clip models for all embeddings
* fix merge confligt
* add generic onnx model class and use jina ai clip models for all embeddings
* fix merge confligt
* preferred providers
* fix paths
* disable download progress bar
* remove logging of path
* drop and recreate tables on reindex
* use cache paths
* fix model name
* use trust remote code per transformers docs
* ensure tokenizer and feature extractor are correctly loaded
* revert
* manually download and cache feature extractor config
* remove unneeded
* remove old clip and minilm code
* docs update
