* 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
* rockchip: update dependencies and add script for model conversion
* rockchip: update docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* use ruamel to parse and preserve line numbers for config validation
* maintain exception for non validation errors
* fix types
* include input in log messages
* 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
