* Add enum for type of classification for objects
* Update recognized license plate topic to be used as attribute updater
* Update attribute for attribute type object classification
* Cleanup
* Ignore numpy get limits warning
* Add function wrapper to redirect stdout and stderr to logpipe
* Save stderr too
* Add more to catch
* run logpipe
* Use other logging redirect class
* Use other logging redirect class
* add decorator for redirecting c/c++ level output to logger
* fix typing
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
The PP_OCRv5 text detection models have greatly improved over v3. The v5 recognition model makes improvements to challenging handwriting and uncommon characters, which are not necessary for LPR, so using v4 seemed like a better choice to continue to keep inference time as low as possible. Also included is the full dictionary for Chinese character support.
* Only check if an object is stationary to avoid mqtt snapshot
* docs heading tweak
* Add more API descriptions
* Add missing lib for new rocm onnxruntime whl
* Update inference times to reflect better rocm performance
* Cleanup resetting tracked object activity
* remove print
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Fix the `Any` typing hint treewide
There has been confusion between the Any type[1] and the any function[2]
in typing hints.
[1] https://docs.python.org/3/library/typing.html#typing.Any
[2] https://docs.python.org/3/library/functions.html#any
* Fix typing for various frame_shape members
Frame shapes are most likely defined by height and width, so a single int
cannot express that.
* Wrap gpu stats functions in Optional[]
These can return `None`, so they need to be `Type | None`, which is what
`Optional` expresses very nicely.
* Fix return type in get_latest_segment_datetime
Returns a datetime object, not an integer.
* Make the return type of FrameManager.write optional
This is necessary since the SharedMemoryFrameManager.write function can
return None.
* Fix total_seconds() return type in get_tz_modifiers
The function returns a float, not an int.
https://docs.python.org/3/library/datetime.html#datetime.timedelta.total_seconds
* Account for floating point results in to_relative_box
Because the function uses division the return types may either be int or
float.
* Resolve ruff deprecation warning
The config has been split into formatter and linter, and the global
options are deprecated.
* Catch error and show toast when failing to delete review items
* i18n keys
* add link to speed estimation docs in zone edit pane
* Implement reset of tracked object update for each camera
* Cleanup
* register mqtt callbacks for toggling alerts and detections
* clarify snapshots docs
* clarify semantic search reindexing
* add ukrainian
* adjust date granularity for last recording time
The api endpoint only returns granularity down to the day
* Add amd hardware
* fix crash in face library on initial start after enabling
* Fix recordings view for mobile landscape
The events view incorrectly was displaying two columns on landscape view and it only took up 20% of the screen width. Additionally, in landscape view the timeline was too wide (especially on iPads of various screen sizes) and would overlap the main video
* face rec overfitting instructions
* Clarify
* face docs
* clarify
* clarify
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* face library i18n fixes
* face library i18n fixes
* add ability to use ctrl/cmd S to save in the config editor
* Use datetime as ID
* Update metrics inference speed to start with 0 ms
* fix android formatted thumbnail
* ensure role is comma separated and stripped correctly
* improve face library deletion
- add a confirmation dialog
- add ability to select all / delete faces in collections
* Implement lazy loading for video previews
* Force GPU for large embedding model
* GPU is required
* settings i18n fixes
* Don't delete train tab
* webpush debugging logs
* Fix incorrectly copying zones
* copy path data
* Ensure that cache dir exists for Frigate+
* face docs update
* Add description to upload image step to clarify the image
* Clean up
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* fix onvif reinitialization
* api docs: clarify usage of clip.mp4 endpoint
* Always show train tab
* Add description to API
* catch lpr model inference exceptions
* always apply motion mask when using yolov9 plate detection
* lpr faq
* fix incorrect focus when reopening search detail dialog on video tab
* only use keyboard listener in face library when train tab is active
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Send tracked object updates for face and license_plate objects
* Update docs
* Add to type enum
* Add camera to object description update
* Formatting
* Consolidate yue-Hant
* Add missing
* Only auto-populate some config fields down to the camera level
- Don't populate LPR and face global-only settings down to the camera level
- Ensure LPR mixin uses camera level min_area
- Explicitly forbid extra config values for LPR and face
* lpr docs tweak
* remove extra text already in i18n key
* consistency
* add support for multi-line plates
* config for model size
* default to small model
* add license plate as attribute to motorcycle
* use model size
* docs
* attribute map
* i18n key fix
* Merge nearby horizontal boxes
* only publish to recognized plate field if object already has a sub label
* don't overwrite sub labels in any situation
* always publish sub label if it's a known plate
* remove license plate from attributes for dedicated lpr cameras
* ensure we always have a color
* use frigate+ models with dedicated lpr cameras
* docs
* docs clarity
* docs enrichments
* use license_plate as object type
* add config validator for face and lpr
* more lpr docs tweaks
* fix object lifecycle point clicking for aspect ratios less than 16/9
* fix semantic search indexing i18n keys
* remove ability to set system language
* clarify debug output
* Don't assume landmark file is downloaded
* Rewrite build model task to be asynchronous so it doesn't block the pipeline
* Handle case where face recognition does not respond
* Cleanup
* Make daemon thread
* Increase frequency of updates when internal face detection is used
* Adjust number of required faces based on detection type
* Adjust min_score config to unknown_score
* Only for person
* Improve typing
* Update face rec docs
* Cleanup ui colors
* Cleanup
* Refactor face recognition to allow for running lbph or embedding
* Cleanup
* Use weighted average for faces
* Set correct url
* Cleanup
* Update docs
* Update docs
* Use scipy trimmed mean
* Normalize
* Handle color and gray landmark detection
* Upgrade to new arcface model
* Implement sigmoid function
* Rename
* Rename to arcface
* Fix
* Add face recognition model size to ui config
* Update toast
* docs fps recommendation
* add detection_threshold to example
* send uncoverted yuv frame
* copy and convert
* ensure thumbnail is encoded as webp
* keep as jpeg
* config options
* processing in maintainer
* detect and process dedicated lpr plates
* create camera type, add manual event and save snapshot
* use const
* ensure lpr events are always detections, typing fixes
* docs
* docs tweaks
* add preprocessing and penalization for low confidence chars
* backend
* backend fixes
* api for search queries
* frontend
* docs
* add filterable scroll list to more filters pane for identifiers
* always publish identifier
* recordings data pub/sub
* function to process recording stream frames
* model runner
* lpr model runner
* refactor to mixin class and use model runner
* separate out realtime and post processors
* move model and mixin folders
* basic postprocessor
* clean up
* docs
* postprocessing logic
* clean up
* return none if recordings are disabled
* run postprocessor handle_requests too
* tweak expansion
* add put endpoint
* postprocessor tweaks with endpoint
