* Update vite
* Update LuIcons
* Update radix packages
* Fix other icons
* Use correct node version
* Remove superfluous web build on python tests
* Move web build to test
* Monitor if camera is disabled for review items
* Simplify multi camera disabled check
* Cleanup birdseye config handling
* Cleanup
* Remove old listeners
* Fix live cameras not showing on refresh
* Fix live dashboard when birdseye is added
* Handle cameras that are offline / disabled
* Use black instead of green frame
* Fix missing mqtt topics
* Simplify rocm install and update to 6.3.1
* Build out more necessary packages
* Update to 6.3.3
* Set bake version
* Fix typo
* Ensure NHWC is used
* Reset dev changes
* Write to cache
* Remove unneccessary trt wheels build
* Cleanup
* Try without local cuda
* Keep specific cuda libs only
* Cleanup
* Add newer libcufft
* remove target
* Include more
* Move onnx runner
* Build out base embedding
* Convert text embedding to separate class
* Move image embedding to separate
* Move LPR to separate class
* Remove mono embedding
* Simplify model downloading
* Reorganize jina v1 embeddings
* Cleanup
* Cleanup for review
* Remove thumbnail from dict
* Create thumbnail diectory
* Cleanup handling of tracked object images
* Make thumbnail optional
* Handle cases where thumbnail is used
* Expand options for thumbnail api
* Fix up the does not exist condition
* Remove absolute usages of thumbnails
* Write thumbnails for external events
* Reduce webp quality
* Use webp everywhere in frontend
* Formatting
* Always consider all events when re-indexing
* Add thumbnail deletion and cleanup path management
* Cleanup imports
* Rename def
* Don't save thumbnail for every object
* Correct event count
* Use correct function
* Include thumbnail in query
* Remove unused
* Fix requiring exception
* WIP yolov9
* Implement post processing for yolov9
* Cleanup detection
* Update docs to make note of supported yolov9
* Move post processing to separate utility
* Add note about other models
* Start working on bird processor
* Initial setup for bird processing
* Improvements to handling
* Get classification working
* Cleanup classification
* Add classification config
* Update sort
* 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
* 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
* 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
* Refactor hardware docs to show model specific speeds
* Move hailo to first party detectors
* Make note of multiple detectors
* Improve hierarchy
* Update object_detectors.md
* Update hardware.md
Nicolas Mowen