* Use zoom space id in Onvif RelativeMove setup (#9859)
* use zoom space id in onvif relativemove setup
* better handle cases when zooming is disabled
* Fix birdseye camera comparison (#9887)
* Format (#9889)
* use first onvif profile with ptz config
* Use zoom space id in Onvif RelativeMove setup (#9859)
* use zoom space id in onvif relativemove setup
* better handle cases when zooming is disabled
* use first onvif profile with ptz config
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add ui for events
* Display data for review items
* Use preview thumbnails
* Implement paging
* Show icons for what was detected
* Show progress bar on preview thumbnail
* Hide the overlays on hover and update reviewed status
* Dim previews that have been reviewed
* Show audio icons
* Cleanup preview thumb player
* initial implementation of review timeline
* Use timeout for hover playback
* Break apart mobile and desktop views
* Show icons for sub labels
* autoplay first video on mobile
* Only show the last 24 hours by default
* Rework scrolling to fix nested scrolling
* Final scroll cleanups
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* 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
Adds a direct dependency on markupsafe, instead of relying on the
implicit dependency via Flask.
This is in preparation of Flask 3.0 support, which will drop compat for
importing escape indirectly.
* 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
* Don't show gif until event is over and fix aspect
* Be more efficient about updating events
* ensure previews are sorted
* Don't show live view when window is not visible
* Move debug camera to separate view
* Improve jpg loading
* Ensure still is updated on player live finish
* Don't reload when window not visible
* Only disconnect instead of full remove
* Use start time instead of event over to determine gif
* ROCm AMD/GPU based build and detector, WIP
* detectors/rocm: separate yolov8 postprocessing into own function; fix box scaling; use cv2.dnn.blobForImage for preprocessing; assert on required model parameters
* AMD/ROCm: add couple of more ultralytics models; comments
* docker/rocm: make imported model files readable by all
* docker/rocm: readme about running on AMD GPUs
* docker/rocm: updated README
* docker/rocm: updated README
* docker/rocm: updated README
* detectors/rocm: separated preprocessing functions into yolo_utils.py
* detector/plugins: added onnx cpu plugin
* docker/rocm: updated container with limite label sets
* example detectors view
* docker/rocm: updated README.md
* docker/rocm: update README.md
* docker/rocm: do not set HSA_OVERRIDE_GFX_VERSION at all for the general version as the empty value broke rocm
* detectors: simplified/optimized yolov8_postprocess
* detector/yolo_utils: indentation, remove unused variable
* detectors/rocm: default option to conserve cpu usage at the expense of latency
* detectors/yolo_utils: use nms to prefilter overlapping boxes if too many detected
* detectors/edgetpu_tfl: add support for yolov8
* util/download_models: script to download yolov8 model files
* docker/main: add download-models overlay into s6 startup
* detectors/rocm: assume models are in /config/model_cache/yolov8/
* docker/rocm: compile onnx files into mxr files at startup
* switch model download into bash script
* detectors/rocm: automatically override HSA_OVERRIDE_GFX_VERSION for couple of known chipsets
* docs: rocm detector first notes
* typos
* describe builds (harakas temporary)
* docker/rocm: also build a version for gfx1100
* docker/rocm: use cp instead of tar
* docker.rocm: remove README as it is now in detector config
* frigate/detectors: renamed yolov8_preprocess->preprocess, pass input tensor element type
* docker/main: use newer openvino (2023.3.0)
* detectors: implement class aggregation
* update yolov8 model
* add openvino/yolov8 support for label aggregation
* docker: remove pointless s6/timeout-up files
* Revert "detectors: implement class aggregation"
This reverts commit dcfe6bbf6f.
* detectors/openvino: remove class aggregation
* detectors: increase yolov8 postprocessing score trershold to 0.5
* docker/rocm: separate rocm distributed files into its own build stage
* Update object_detectors.md
* updated CODEOWNERS file for rocm
* updated build names for documentation
* Revert "docker/main: use newer openvino (2023.3.0)"
This reverts commit dee95de908.
* reverrted openvino detector
* reverted edgetpu detector
* scratched rocm docs from any mention of edgetpu or openvino
* Update docs/docs/configuration/object_detectors.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* renamed frigate.detectors.yolo_utils.py -> frigate.detectors.util.py
* clarified rocm example performance
* Improved wording and clarified text
* Mentioned rocm detector for AMD GPUs
* applied ruff formating
* applied ruff suggested fixes
* docker/rocm: fix missing argument resulting in larger docker image sizes
* docs/configuration/object_detectors: fix links to yolov8 release files
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Break out live page
* Improving layouts and add chip component
* Improve default camera player sizing
* Improve live updating
* Cleanup and fit figma
* Use fixed height
* Masonry layout
* Fix stuff
* Don't force heights
* Adjust scaling
* Cleanup
* remove sidebar (#9731)
* remove sidebar
* keep sidebar on mobile for now and add icons
* Fix revalidation
* Cleanup
* Cleanup width
* Add chips for activity on cameras
* Remove dashboard from header
* Use Inter font (#9735)
* Show still image when no activity is occurring
* remove unused search params
* add playing check for webrtc
* Don't use grid at all for single column
* Fix height on mobile
* a few style updates to better match figma (#9745)
* Remove active objects when they become stationary
* Move to sidebar only and make settings separate component
* Fix layout
* Animate visibility of chips
* Sidebar is full screen
* Fix tall aspect ratio cameras
* Fix complicated aspect logic
* remove
* Adjust thumbnail aspect and add text
* margin on single column layout
* Smaller event thumb text
* Simplify basic image view
* Only show the red dot when camera is recording
* Improve typing for camera toggles
* animate chips with react-transition-group (#9763)
* don't flash when going to still image
* revalidate
* tooltips and active tracking outline (#9766)
* tooltips
* fix tooltip provider and add active tracking outline
* remove unused icon
* remove figma comment
* Get live mode working for jsmpeg
* add small gradient below timeago on event thumbnails (#9767)
* Create live mode hook and make sure jsmpeg can be used
* Enforce env var
* Use print
* Remove unstable
* Add tooltips to thumbnails
* Put back vite
* Format
* Update web/src/components/player/JSMpegPlayer.tsx
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Co-authored-by: Blake Blackshear <blake@frigate.video>
* Ensure viewport is always full screen
* Protect against hour with no cards and ensure data is consistent
* Reduce grouped up image refreshes
* Include current hour and fix scrubbing bugginess
* Scroll initially selected timeline in to view
* Expand timelne class type
* Use poster image for preview on video player instead of using separate image view
* Fix available streaming modes
* Incrase timing for grouping timline items
* Fix audio activity listener
* Fix player not switching views correctly
* Use player time to convert to timeline time
* Update sub labels for previous timeline items
* Show mini timeline bar for non selected items
* Rewrite desktop timeline to use separate dynamic video player component
* Extend improvements to mobile as well
* Improve time formatting
* Fix scroll
* Fix no preview case
* Mobile fixes
* Audio toggle fixes
* More fixes for mobile
* Improve scaling of graph motion activity
* Add keyboard shortcut hook and support shortcuts for playback page
* Fix sizing of dialog
* Improve height scaling of dialog
* simplify and fix layout system for timeline
* Fix timeilne items not working
* Implement basic Frigate+ submitting from timeline
* Add timeline graph component
* Add more custom colors and improve graph
* Add api and data
* Fix data sorting
* Add graph to timeline
* Only show timeline for selected hour
* Make data full range
* Add filter popover
* Add api filter hook and use UI with filtering
* Get history filtering working for cameras and labels
* Allow filtering on detail level
* Save timeline entries for api events
* reset
* fix width
* Add support for review grid
* Cleanup reloading on focus
* Adjust timeline api to include metadata and before
* Be more efficient about getting info
* Adjust to new data format
* Cleanup types
* Cleanup text
* Transition to history
* Cleanup
* remove old web implementations
* Cleanup
* 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
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support rknn on all socs
* apply changes from review and fix post process bug
* apply code formatting
* update tip in object_detectors docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add endpoint to restart Frigate
The only means of restarting Frigate remotely is to issue
a restart topic on the server's websocket. It's
convenient to also expose this capability via HTTP endpoint.
* Add new section to API docs
* Remove extra line
* prevent estimate clipping when autotracking
* use unclipped estimate in distance function only
* remove autotracking velocity changes
* publish on init
* Initial draft for filtering Frigate+ submits in frontend
* Hide filter when Frigate+ is not enabled
* Update http.py
* Revert "Update http.py"
This reverts commit fa292682d6.
* optimize motion and velocity estimation
* change recommended fps and fix config validate
* remove unneeded var
* process at most 3 objects per second
* fix test
* add `--validate-config` option for CI config validation
Signed-off-by: Russell Troxel <russell.troxel@segment.com>
* Fix Lint
Signed-off-by: Russell Troxel <russell.troxel@segment.com>
* Add docs & test live
Signed-off-by: Russell Troxel <russell.troxel@segment.com>
* Update docs/docs/configuration/advanced.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix Lint
Signed-off-by: Russell Troxel <russell@troxel.io>
---------
Signed-off-by: Russell Troxel <russell.troxel@segment.com>
Signed-off-by: Russell Troxel <russell@troxel.io>
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* 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
* [CHANGE] More resilient and slightly faster PTZ
* Make "Check Black" happy.
* Make "check black" happier
* Remove unused named exception
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Smarter Regions
* Formatting
* Cleanup
* Fix motion region checking logic
* Add database table and migration for regions
* Update region grid on startup
* Revert init delay change
* Fix mypy
* Move object related functions to util
* Remove unused
* Fix tests
* Remove log
* Update the region daily at 2
* Fix logic
* Formatting
* Initialize grid before starting processing frames
* Move back to creating grid in main process
* Formatting
* Fixes
* Formating
* Fix region check
* Accept all but true
* Use regions grid for startup scan
* Add clarifying comment
* Fix new grid requests
* Add tests
* Delete stale region grids from DB
* fix queues not emptying fully by changing gets to a blocking call with short timeout
* add extra error/warning messages when there's a possibility of missing recording segments
* Update api.md
* Update api.md
* Added filter option for min/max score for event to API function /events
* Added filter for submitted events
* Update http.py
* Add attribute item to timeline
* Add face icon
* Add support for other icons
* Cleanup
* Ensure attributes are only updated once
* don't show _ in attributes
* 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
* Add args to ignore audio and only process keyframes
* Add timelapse args to config
* Update docs
* Formatting
* Fix spacing
* Fix formatting
* add example of math for pts
* add note about network bandwidth permissions
* Update default net int
* Set default network interfaces to empty
* Don't read interfaces if none are set
* Formatting
* Add stderr output
* Reduce database queries to necessary labels
* Set columns for other queries
* skip creating model instances
---------
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Run ffmpeg sub process & video_properties as async
* Run recording cleanup in the main process
* More cleanup
* Use inter process communication to write recordings into the DB
* Formatting
* Non-Jetson changes
Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic
* Prepare for multi-arch tensorrt build
* Add tensorrt images for Jetson boards
* Add Jetson ffmpeg hwaccel
* Update docs
* Add CODEOWNERS
* CI
* Change default model from yolov7-tiny-416 to yolov7-320
In my experience the tiny models perform markedly worse without being
much faster
* fixup! Update docs
* Store camera labels in dict and other optimizations
* Add max on timeout so it is at least 60
* Ensure db timeout is at least 60
* Update list once a day to ensure new labels are cleaned up
* Formatting
* Insert recordings as bulk instead of individually.
* Fix
* Refactor event and timeline cleanup
* Remove unused
* Send mqtt message when audio is detected
* Fix value
* Add audio topics to mqtt docs and add mqtt headers
* Use existing standard for values
* Update mqtt.md
* Add auto configuration for height, width and fps in detect role
* Add auto-configuration for detect width, height, and fps for input roles with detect in the CameraConfig class in config.py
* Refactor code to retrieve video properties from input stream in CameraConfig class and add optional parameter to retrieve video duration in get_video_properties function
* format
* Set default detect dimensions to 1280x720 and update DetectConfig to use the defaults
* Revert "Set default detect dimensions to 1280x720 and update DetectConfig to use the defaults"
This reverts commit a1aed0414d.
* Add default detect dimensions if autoconfiguration failed and log a warning message
* fix warn message spelling on frigate/config.py
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Ensure detect height and width are not None before using them in camera configuration
* docs: initial commit
* rename streamInfo to stream_info
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs
* handle case then get_video_properties returns 0x0 dimension
* Set detect resolution based on stream properties if available, else apply default values
* Update FrigateConfig to set default values for stream_info if resolution detection fails
* Update camera detection dimensions based on stream information if available
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Add limit to event query for fetching latest event with specified label and camera name
* Refactor the label_thumbnail function in frigate/http.py to simplify the event_query logic and improve code readability
* Support setting sub label scores via API
* Update docs
* Update docs
* Formatting
* Throw error when score is outside expected bounds
* Fix / cleanup
* 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
* only check camera status if autotracking enabled
* a more sensible sleep time
* Only check camera status if preparing for a move
* only update tracked obj position when ptz stopped
* both pantilt *and* zoom should be idle
* check more often after moving
* No need to move pan and tilt separately
* 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>
* Update to latest tensorrt (8.6.1) release
* Build trt libyolo_layer.so in container
* Update tensorrt_models script to convert models from the frigate container
* Fix typo in model script
* Fix paths to yolo lib and models folder
* Add S6 scripts to test and convert specified TensortRT models at startup.
Rearrange tensorrt files into a docker support folder.
* Update TensorRT documentation to reflect the new model conversion process and minimum HW support.
* Fix model_cache path to live in config directory
* Move tensorrt s6 files to the correct directory
* Fix issues in model generation script
* Disable global timeout for s6 services
* Add version folder to tensorrt model_cache path
* Include TensorRT version 8.5.3
* Add numpy requirement prior to removal of np.bool
* This TRT version uses a mixture of cuda dependencies
* Redirect stdout from noisy model conversion
