* Adjust remaining summary items when items are marked as reviewed
* Add api for filtering and show correct number when filtering
* Fix default group config
* Update review summary when data is reloaded
* Fix quick items not getting reviewed
* Add camera group config
* Add saving of camera group selection
* Implement camera groups in config and live view
* Fix warnings
* Add tooltips to camera group items on desktop
* Add camera groups to the filters for events
* Fix tooltips and group selection
* Cleanup
* Implement context menu for batch operations and implement apis
* reduce preview calculations on rerenders
* Add button to mark above items as reviewed
* Use context menu for mark as reviewed
* Cleanup
Customizing only the detector model path results in the warning
"Customizing more than a detector model path is unsupported." because
`{} is not {}` evaluates to True
* Use a rolling average of iou to determine if an object is no longer stationary
* Use different box variation to designate when an object is stationary on debug
* In progress
* Use average of boxes instead of average of iou
* Update frigate/track/norfair_tracker.py
Co-authored-by: Blake Blackshear <blake@frigate.video>
---------
Co-authored-by: Blake Blackshear <blake@frigate.video>
* 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>
