* 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>
* 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
* Fix access
* Reorganize tracked object for imports
* Separate out rockchip build
* Formatting
* Use original ffmpeg build
* Fix build
* Update default search type value
* swap sqlite_vec for chroma in requirements
* load sqlite_vec in embeddings manager
* remove chroma and revamp Embeddings class for sqlite_vec
* manual minilm onnx inference
* remove chroma in clip model
* migrate api from chroma to sqlite_vec
* migrate event cleanup from chroma to sqlite_vec
* migrate embedding maintainer from chroma to sqlite_vec
* genai description for sqlite_vec
* load sqlite_vec in main thread db
* extend the SqliteQueueDatabase class and use peewee db.execute_sql
* search with Event type for similarity
* fix similarity search
* install and add comment about transformers
* fix normalization
* add id filter
* clean up
* clean up
* fully remove chroma and add transformers env var
* readd uvicorn for fastapi
* readd tokenizer parallelism env var
* remove chroma from docs
* remove chroma from UI
* try removing custom pysqlite3 build
* hard code limit
* optimize queries
* revert explore query
* fix query
* keep building pysqlite3
* single pass fetch and process
* remove unnecessary re-embed
* update deps
* move SqliteVecQueueDatabase to db directory
* make search thumbnail take up full size of results box
* improve typing
* improve model downloading and add status screen
* daemon downloading thread
* catch case when semantic search is disabled
* fix typing
* build sqlite_vec from source
* resolve conflict
* file permissions
* try build deps
* remove sources
* sources
* fix thread start
* include git in build
* reorder embeddings after detectors are started
* build with sqlite amalgamation
* non-platform specific
* use wget instead of curl
* remove unzip -d
* remove sqlite_vec from requirements and load the compiled version
* fix build
* avoid race in db connection
* add scale_factor and bias to description zscore normalization
* Portal tooltips
* Add ability to time_range filter chroma searches
* centering and padding consistency
* add event id back to chroma metadata
* query sqlite first and pass those ids to chroma for embeddings search
* ensure we pass timezone to the api call
* remove object lifecycle from search details for non-object events
* simplify hour calculation
* fix query without filters
* bump chroma version
* chroma 0.5.7
* fix selecting camera group in cameras filter button
* POC: Added FastAPI with one endpoint (get /logs/service)
* POC: Revert error_log
* POC: Converted preview related endpoints to FastAPI
* POC: Converted two more endpoints to FastAPI
* POC: lint
* Convert all media endpoints to FastAPI. Added /media prefix (/media/camera && media/events && /media/preview)
* Convert all notifications API endpoints to FastAPI
* Convert first review API endpoints to FastAPI
* Convert remaining review API endpoints to FastAPI
* Convert export endpoints to FastAPI
* Fix path parameters
* Convert events endpoints to FastAPI
* Use body for multiple events endpoints
* Use body for multiple events endpoints (create and end event)
* Convert app endpoints to FastAPI
* Convert app endpoints to FastAPI
* Convert auth endpoints to FastAPI
* Removed flask app in favour of FastAPI app. Implemented FastAPI middleware to check CSRF, connect and disconnect from DB. Added middleware x-forwared-for headers
* Added starlette plugin to expose custom headers
* Use slowapi as the limiter
* Use query parameters for the frame latest endpoint
* Use query parameters for the media snapshot.jpg endpoint
* Use query parameters for the media MJPEG feed endpoint
* Revert initial nginx.conf change
* Added missing even_id for /events/search endpoint
* Removed left over comment
* Use FastAPI TestClient
* severity query parameter should be a string
* Use the same pattern for all tests
* Fix endpoint
* Revert media routers to old names. Order routes to make sure the dynamic ones from media.py are only used whenever there's no match on auth/etc
* Reverted paths for media on tsx files
* Deleted file
* Fix test_http to use TestClient
* Formatting
* Bind timeline to DB
* Fix http tests
* Replace filename with pathvalidate
* Fix latest.ext handling and disable uvicorn access logs
* Add cosntraints to api provided values
* Formatting
* Remove unused
* Remove unused
* Get rate limiter working
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Implement ROCm detectors
* Cleanup tensor input
* Fixup image creation
* Add support for yolonas in onnx
* Get build working with onnx
* Update docs and simplify config
* Remove unused imports
* Set caching options for hardware providers
* Always use CPU for searching
* Use new install strategy to remove onnxruntime and then install post wheels
* Format makefiles
* Handle all errors in rocm makefile
* Remove CURRENT_UID and GID from makefile as they are unused
* Removed unused vite.svg asset
* Sort frigate-dictionary
* Add support for yolonas in onnx
* Add correct deps
* Set ld library path
* Refactor cudnn to only be used in amd64
* Add onnx to docs and add explainer at the top
* Undo change
* Update comment
* Remove uneccesary
* Remove line change
