* 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
* Publish model state and embeddings reindex in dispatcher onConnect
* remove unneeded from explore
* add embeddings reindex progress to statusbar
* don't allow right click or show similar button if semantic search is disabled
* fix status bar
* refactor dispatcher
* add reindex to dictionary
* add circular progress bar component
* Add progress to UI when embeddings are reindexing
* readd comments to dispatcher for clarity
* Only report progress every 10 events so we don't spam the logs and websocket
* clean up
* 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
* Allow embedding of snapshot for description via config option
* docs
* frontend button
* Backend
* crop snapshot to region
* only show dropdown when event has snapshot
* fix cursor on dropdown
* crop on initial generation as well
* use enum for type
* fix type
* Subclass Process for audio_process
* Introduce custom mp.Process subclass
In preparation to switch the multiprocessing startup method away from
"fork", we cannot rely on os.fork cloning the log state at fork time.
Instead, we have to set up logging before we run the business logic of
each process.
* Make camera_metrics into a class
* Make ptz_metrics into a class
* Fixed PtzMotionEstimator.ptz_metrics type annotation
* Removed pointless variables
* Do not start audio processor when no audio cameras are configured
* Initial re-implementation of semantic search
* put docker-compose back and make reindex match docs
* remove debug code and fix import
* fix docs
* manually build pysqlite3 as binaries are only available for x86-64
* update comment in build_pysqlite3.sh
* only embed objects
* better error handling when genai fails
* ask ollama to pull requested model at startup
* update ollama docs
* address some PR review comments
* fix lint
* use IPC to write description, update docs for reindex
* remove gemini-pro-vision from docs as it will be unavailable soon
* fix OpenAI doc available models
* fix api error in gemini and metadata for embeddings
* Send camera state to dispatcher
* Fix logic
* Cleanup
* Send camera activitiy in on connect
* Support reading initial camera state
* Fix key
* Formatting
* Sorting
* Only update frame time if it is older
* Support manual detections as review items
* Don't handle api detections in recordings
* Store recordings for manual events
* Add review to database
* Create main manager for review segments
* Upsert and maintain review segments
* Update logic for adding new segments
* Add api
* Support deleting review segments on recording cleanup
* Add field for alert labels
* Formatting
* Logic fixes
* Save 16:9 thumbnail for review segment
* Ensure that crop is 16:9
* Fix non detected objects being added
* Only include true positives
* Add sub labels to data
* Add config pub / sub pattern
* remove recording from feature metrics
* remove audio and feature metrics
* Check for updates from all cameras
* remove birdseye from camera metrics
* remove motion and detection camera metrics
* Ensure that all processes are stopped
* Stop communicators
* Detections
* Cleanup video output queue
* Use select for time sensitive polls
* Use ipc instead of tcp
* Use zmq for inter process communication
* Use localhost for reply and request
* Use pyobj instead of json and Need to use separate requestors for each audio listener
* Cleanup port defining
* Generate low res low fps previews for recordings viewer
* Make sure previews end on the hour
* Fix durations and decrase keyframe interval to ensure smooth scrubbing
* Ensure minimized resolution is compatible with yuv
* Add ability to configure preview quality
* Fix
* Clean up previews more efficiently
* Use iterator
