* 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
* 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
* prevent estimate clipping when autotracking
* use unclipped estimate in distance function only
* remove autotracking velocity changes
* publish on init
* zoom in/out in search for lost objects
* predicted box should not be empty
* clean up and update zoom logic
* only zoom if enabled
* more cleanup
* check for valid velocity when zooming
* only try absolute zoom in if obj area has changed
* zoom logic
* don't enqueue lost object zoom if already at limit
* don't disable motion boxes during ptz moves
* velocity threshold based on move coefficients
* fix area zoom logic
* disable debug zoom
* don't process objects if ptz moving
* recalc with exponent
* change exponent
* remove lost object zooming
* increase distance threshold for stationary object
* increase distance threshold constant
* only zoom out if nonzero
* camera name in all debug logging
* add camera name to debug logging
* camera variable name consistency
* update calibration behavior and docs
* docs and better zooming
* more sensible target values
* docs wording
* fix velocity threshold variable
* zooming tweaks and remove iou for current objects
* debug and docs
* get valid velocity
* include zero
* additional debug statements
* add zoom hysteresis
* zoom on initial move if relative
* only update target box if we actually zoom
* merge dev
* use getattr instead of get
* increase distance threshold
* reverse logic
* get_camera_status after preset move to store zoom
* final tweaks and docs
* use constants and catch possible debug exception
* adjust zoom factor exponent
* don't run motion estimation when calling preset
* adjust dimension threshold
* use numpy for velocity estimate calcs
* more numpy conversion
* fix numpy shapes
* numpy zeros dimension
* more zoom out conditions
* fix velocity bug
* ensure init has been called in debug view
* ensure onvif init if enabling by mqtt
* change default hysteresis values
* recalc relative zoom value
* zoom out value
* try to zoom when object isn't moving
* try zoom when tracked object is not moving
* don't try to zoom every time
* negate zoom out condition when needed
* hysteresis constants for absolute zooming
* update zoom conditions
* don't recalc target box on zoom only
* zoom out if above area threshold
* don't print zooming debug for stationary obj
* revamp zooming to use area moving average
* zooming tweaks and expose property
* limit zoom with max target box
* use calibration to determine zoom levels
* zoom logic fix
* docs
* add tapo c200 camera
* fix initial absolute zoom
* small zoom logic fix
* better invalid velocity checks
* fix test
* really fix test this time
* don't zoom if camera doesn't support it
* basic zooming
* make zooming configurable
* zooming docs
* optional zooming in camera status
* Use absolute instead of relative zooming
* increase edge threshold
* zoom considering object area
* bugfixes
* catch onvif zooming errors
* relative zooming option for dahua/amcrest cams
* docs
* docs
* don't make small movements
* remove old logger statement
* fix small movements
* use enum in config for zooming
* fix formatting
* empty move queue first
* clear tracked object before waiting for stop
* use velocity estimation for movements
* docs updates
* add tests
* typos
* recalc every 50 moves
* adjust zoom based on estimate box if calibrated
* tweaks for fast objects and large movements
* use real time for calibration and add info logging
* docs updates
* remove area scale
* Add example video to docs
* zooming font header size the same as the others
* log an error if a ptz doesn't report a MoveStatus
* debug logging for onvif service capabilities
* ensure camera supports ONVIF MoveStatus
* much improved motion estimation and tracking
* docs updates
* move ptz specific mp values to ptz_metrics dict
* only check if moving at frame time
* pass full dict instead of individual values
* Basic functionality
* Threaded motion estimator
* Revert "Threaded motion estimator"
This reverts commit 3171801607.
* Don't detect motion when ptz is moving
* fix motion logic
* fix mypy error
* Add threaded queue for movement for slower ptzs
* Move queues per camera
* Move autotracker start to app.py
* iou value for tracked object
* mqtt callback
* tracked object should be initially motionless
* only draw thicker box if autotracking is enabled
* Init if enabled when initially disabled in config
* Fix init
* Thread names
* Always use motion estimator
* docs
* clarify fov support
* remove size ratio
* use mp event instead of value for ptz status
* update autotrack at half fps
* fix merge conflict
* fix event type for mypy
* clean up
* Clean up
* remove unused code
* merge conflict fix
* docs: update link to object_detectors page
* Update docs/docs/configuration/autotracking.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* clarify wording
* pass actual instances directly
* default return preset
* fix type
* Error message when onvif init fails
* disable autotracking if onvif init fails
* disable autotracking if onvif init fails
* ptz module
* verify required_zones in config
* update util after dev merge
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Initial audio classification model implementation
* fix mypy
* Keep audio labelmap local
* Cleanup
* Start adding config for audio
* Add the detector
* Add audio detection process keypoints
* Build out base config
* Load labelmap correctly
* Fix config bugs
* Start audio process
* Fix startup issues
* Try to cleanup restarting
* Add ffmpeg input args
* Get audio detection working
* Save event to db
* End events if not heard for 30 seconds
* Use not heard config
* Stop ffmpeg when shutting down
* Fixes
* End events correctly
* Use api instead of event queue to save audio events
* Get events working
* Close threads when stop event is sent
* remove unused
* Only start audio process if at least one camera is enabled
* Add const for float
* Cleanup labelmap
* Add audio icon in frontend
* Add ability to toggle audio with mqtt
* Set initial audio value
* Fix audio enabling
* Close logpipe
* Isort
* Formatting
* Fix web tests
* Fix web tests
* Handle cases where args are a string
* Remove log
* Cleanup process close
* Use correct field
* Simplify if statement
* Use var for localhost
* Add audio detectors docs
* Add restream docs to mention audio detection
* Add full config docs
* Fix links to other docs
---------
Co-authored-by: Jason Hunter <hunterjm@gmail.com>
* Add isort and ruff linter
Both linters are pretty common among modern python code bases.
The isort tool provides stable sorting and grouping, as well as pruning
of unused imports.
Ruff is a modern linter, that is very fast due to being written in rust.
It can detect many common issues in a python codebase.
Removes the pylint dev requirement, since ruff replaces it.
* treewide: fix issues detected by ruff
* treewide: fix bare except clauses
* .devcontainer: Set up isort
* treewide: optimize imports
* treewide: apply black
* treewide: make regex patterns raw strings
This is necessary for escape sequences to be properly recognized.
* test refactor process stats
* Update util.py
* bugfix
* black formatting
* add missing processes field to StatsTrackingTypes class
* fix python checks and tests...
* use psutil for calcilate cpu utilization on get_cpu_stats
* black...black...black...
* add cpu average
* calculate statiscts for logger process
* add P-ID for other processes in System.jsx
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* make page beautiful again :)
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Move recordings management to own process and ensure db multiprocess access
* remove reference to old threads
* Cleanup directory remover
* Mypy fixes
* Fix mypy
* Add support back for setting record via MQTT and WS
* Formatting
* Fix rebase issue
* Refactor EdgeTPU and CPU model handling to detector submodules.
* Fix selecting the correct detection device type from the config
* Remove detector type check when creating ObjectDetectProcess
* Fixes after rebasing to 0.11
* Add init file to detector folder
* Rename to detect_api
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add unit test for LocalObjectDetector class
* Add configuration for model inputs
Support transforming detection regions to RGB or BGR.
Support specifying the input tensor shape. The tensor shape has a standard format ["BHWC"] when handed to the detector, but can be transformed in the detector to match the model shape using the model input_tensor config.
* Add documentation for new model config parameters
* Add input tensor transpose to LocalObjectDetector
* Change the model input tensor config to use an enumeration
* Updates for model config documentation
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Starting working on adding motion toggle
* Add all info to mqtt command
* Send motion to correct funs
* Update mqtt docs
* Fixes for contingencies
* format
* mypy
* Tweak behavior
* Fix motion breaking frames
* Fix bad logic in detect set
* Always set value for motion boxes
* __main__.py
* app.py
* models.py
* plus.py
* stats.py
In addition a new module was introduced: types
There all TypedDicts are included. Bitte geben Sie eine Commit-Beschreibung für Ihre Änderungen ein. Zeilen,
