* Add base class for global config updates
* Add or remove camera states
* Move camera process management to separate thread
* Move camera management fully to separate class
* Cleanup
* Stop camera processes when stop command is sent
* Start processes dynamically when needed
* Adjust
* Leave extra room in tracked object queue for two cameras
* Dynamically set extra config pieces
* Add some TODOs
* Fix type check
* Simplify config updates
* Improve typing
* Correctly handle indexed entries
* Cleanup
* Create out SHM
* Use ZMQ for signaling object detectoin is completed
* Get camera correctly created
* Cleanup for updating the cameras config
* Cleanup
* Don't enable audio if no cameras have audio transcription
* Use exact string so similar camera names don't interfere
* Add ability to update config via json body to config/set endpoint
Additionally, update the config in a single rather than multiple calls for each updated key
* fix autotracking calibration to support new config updater function
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Combine base and arm trt detectors
* Remove unused deps for amd64 build
* Add missing packages and cleanup ldconfig
* Expand packages for tensorflow model training
* Cleanup
* Refactor training to not reserve memory
* Implement model training via ZMQ and add model states to represent training
* Get model updates working
* Improve toasts and model state
* Clean up logging
* Add back in
* Setup basic training structure
* Build out route
* Handle model configs
* Add image fetch APIs
* Implement model training screen with dataset selection
* Implement viewing of training images
* Adjust directories
* Implement viewing of images
* Add support for deleting images
* Implement full deletion
* Implement classification model training
* Improve naming
* More renaming
* Improve layout
* Reduce logging
* Cleanup
* Start Frigate in safe mode when config does not validate
* Add safe mode page that is just the config editor
* Adjust Frigate config editor when in safe mode
* Cleanup
* Improve log message
* Add basic config for defining a teachable machine model
* Add model type
* Add basic config for teachable machine models
* Adjust config for state and object
* Use config to process
* Correctly check for objects
* Remove debug
* Rename to not be teachable machine specific
* Cleanup
* Include config publisher in api
* Call update topic for passed topics
* Update zones dynamically
* Update zones internally
* Support zone and mask reset
* Handle updating objects config
* Don't put status for needing to restart Frigate
* Cleanup http tests
* Fix tests
* Include preferred startTime in source so that the playlist does not need to seek
* Compatibility
* Cleanup
* Adjust based on inpoint
* Don't set start position if it is not valid
* Handle firefox buggy behavior
* Remove torch install
* notification fixes
the pubkey was not being returned if notifications was not enabled at the global level
* Put back
* single condition check for fetching and disabling button
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Don't support tensorrt detector for amd64 builds
* Add logs for directing users not to use tensorrt detector
* Rework docs
* Fix dockerfile index
* Don't undo jetson fix
* Fix showing review items that span over multiple days
* Simplify
* Fix tests
* Fix unchanged value
* Allow admin as default role and viewer as passed header for proxy auth
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Don't return weighted name if it has the same number of results
* Remove link to incorrect format yolov9 models
* Fix command list from appearing when other inputs are focused
the description box in the tracked object details pane was causing the command input list to show when focused.
* clarify face docs
* Add note about python yolov9 export
* Check if hailort thread is still alive when timeout error is run into
* Reduce inference timeout
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* 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>
* Add option to not trim clip
* Improve API
* Update snapshot for new best objects
* Fix missing strings
* Convert to separate key
* Always include bounding box on snapshots
* improve autotracking relative zooming time calculation
* update proxy docs to note the need for comma separated header roles
* Add count translation
* tracked object lifecycle i18n fix
* update speed estimation docs
* clarity
* Re-initialize onvif information when toggling camera on live view
* Move time ago to card info and add face area
* Clarify face recognition docs
* Increase minimum face recognition area
* use clipFrom to in vod module endpoint to start at the correct time
* Cleanup media api
* Don't change duration
* Use search detail dialog for face library
* Move to segment based
* Cleanup
* Add back duration modification
* clean up docs
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Support automatic language selection
* Handle non-matching keys
* Cleanup
* Handle region specific language codes from browser
* Fix passing in requestor
* 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
* Add npu usages as a statistic
* Support showing NPU stats in dashboard
* Add sys volume mount for npu usages
* Fix type
* Simplify check
* Cleanup
* Cleanup
* Use mobile drawer for face selection
* Convert face selection to separate component
* Cleanup dialogs
* Add FAQ for record resolution
* Update image name
* Remove unused
* Cleanup
* Correctly ensure updates are more periodic when lpr or face detection is needed
* Cleanup
* Update api schema
* Don't update for stationary objects
* Simplify check
* Remove
