* 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>
* Started unit tests for the review controller
* Revert "Started unit tests for the review controller"
This reverts commit 7746eb146f.
* Started unit tests for the review controller
* FIrst test
* Added test for review endpoint (time filter - after + before)
* Assert expected event
* Added more tests for review endpoint
* Added test for review endpoint with all filters
* Added test for review endpoint with limit
* Comment
* Renamed tests to increase readability
* Add service manager infrastructure
The changes are (This will be a bit long):
- A ServiceManager class that spawns a background thread and deals with
service lifecycle management. The idea is that service lifecycle code
will run in async functions, so a single thread is enough to manage
any (reasonable) amount of services.
- A Service class, that offers start(), stop() and restart() methods
that simply notify the service manager to... well. Start, stop or
restart a service.
(!) Warning: Note that this differs from mp.Process.start/stop in that
the service commands are sent asynchronously and will complete
"eventually". This is good because it means that business logic is
fast when booting up and shutting down, but we need to make sure
that code does not rely on start() and stop() being instant
(Mainly pid assignments).
Subclasses of the Service class should use the on_start and on_stop
methods to monitor for service events. These will be run by the
service manager thread, so we need to be careful not to block
execution here. Standard async stuff.
(!) Note on service names: Service names should be unique within a
ServiceManager. Make sure that you pass the name you want to
super().__init__(name="...") if you plan to spawn multiple instances
of a service.
- A ServiceProcess class: A Service that wraps a multiprocessing.Process
into a Service. It offers a run() method subclasses can override and
can support in-place restarting using the service manager.
And finally, I lied a bit about this whole thing using a single thread.
I can't find any way to run python multiprocessing in async, so there is
a MultiprocessingWaiter thread that waits for multiprocessing events and
notifies any pending futures. This was uhhh... fun? No, not really.
But it works. Using this part of the code just involves calling the
provided wait method. See the implementation of ServiceProcess for more
details.
Mirror util.Process hooks onto service process
Remove Service.__name attribute
Do not serialize process object on ServiceProcess start.
asd
* Update frigate dictionary
* Convert AudioProcessor to service process
* 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
* 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
