* semantic trigger test
* database and model
* config
* embeddings maintainer and trigger post-processor
* api to create, edit, delete triggers
* frontend and i18n keys
* use thumbnail and description for trigger types
* image picker tweaks
* initial sync
* thumbnail file management
* clean up logs and use saved thumbnail on frontend
* publish mqtt messages
* webpush changes to enable trigger notifications
* add enabled switch
* add triggers from explore
* renaming and deletion fixes
* fix typing
* UI updates and add last triggering event time and link
* log exception instead of return in endpoint
* highlight entry in UI when triggered
* save and delete thumbnails directly
* remove alert action for now and add descriptions
* tweaks
* clean up
* fix types
* docs
* docs tweaks
* docs
* reuse enum
* Ui improvements
* Improve image cropping and model saving
* Improve naming
* Add logs for training
* Improve model labeling
* Don't set sub label for none object classification
* Cleanup
* Set runtime
* Use count correctly
* Don't assume camera sizes
* Use separate zmq proxy for object detection
* Correct order
* Use forkserver
* Only store PID instead of entire process reference
* Cleanup
* Catch correct errors
* Fix typing
* Remove before_run from process util
The before_run never actually ran because:
You're right to suspect an issue with before_run not being called and a potential deadlock. The way you've implemented the run_wrapper using __getattribute__ for the run method of BaseProcess is a common pitfall in Python's multiprocessing, especially when combined with how multiprocessing.Process works internally.
Here's a breakdown of why before_run isn't being called and why you might be experiencing a deadlock:
The Problem: __getattribute__ and Process Serialization
When you create a multiprocessing.Process object and call start(), the multiprocessing module needs to serialize the process object (or at least enough of it to re-create the process in the new interpreter). It then pickles this serialized object and sends it to the newly spawned process.
The issue with your __getattribute__ implementation for run is that:
run is retrieved during serialization: When multiprocessing tries to pickle your Process object to send to the new process, it will likely access the run attribute. This triggers your __getattribute__ wrapper, which then tries to bind run_wrapper to self.
run_wrapper is bound to the parent process's self: The run_wrapper closure, when created in the parent process, captures the self (the Process instance) from the parent's memory space.
Deserialization creates a new object: In the child process, a new Process object is created by deserializing the pickled data. However, the run_wrapper method that was pickled still holds a reference to the self from the parent process. This is a subtle but critical distinction.
The child's run is not your wrapped run: When the child process starts, it internally calls its own run method. Because of the serialization and deserialization process, the run method that's ultimately executed in the child process is the original multiprocessing.Process.run or the Process.run if you had directly overridden it. Your __getattribute__ magic, which wraps run, isn't correctly applied to the Process object within the child's context.
* Cleanup
* Logging bugfix (#18465)
* use mp Manager to handle logging queues
A Python bug (https://github.com/python/cpython/issues/91555) was preventing logs from the embeddings maintainer process from printing. The bug is fixed in Python 3.14, but a viable workaround is to use the multiprocessing Manager, which better manages mp queues and causes the logging to work correctly.
* consolidate
* fix typing
* Fix typing
* Use global log queue
* Move to using process for logging
* Convert camera tracking to process
* Add more processes
* Finalize process
* Cleanup
* Cleanup typing
* Formatting
* Remove daemon
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* 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
* install new packages for transcription support
* add config options
* audio maintainer modifications to support transcription
* pass main config to audio process
* embeddings support
* api and transcription post processor
* embeddings maintainer support for post processor
* live audio transcription with sherpa and faster-whisper
* update dispatcher with live transcription topic
* frontend websocket
* frontend live transcription
* frontend changes for speech events
* i18n changes
* docs
* mqtt docs
* fix linter
* use float16 and small model on gpu for real-time
* fix return value and use requestor to embed description instead of passing embeddings
* run real-time transcription in its own thread
* tweaks
* publish live transcriptions on their own topic instead of tracked_object_update
* config validator and docs
* clarify docs
* 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
* Indicate no recordings on the history timeline with gray hash marks
This commit includes a new backend API endpoint and the frontend changes needed to support this functionality
* don't show slashes for now
* 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
* Fetch all license plates outside of filter component
If the swr call took a long time, the entire select component may not display. This change moves the fetch to the parent component (like sub labels).
* add loading indicator
* improve query
* 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>
* Fix api filter hook
cameras, labels, sub labels, plates, and zones could be parsed as numeric values rather than strings, which would break the explore filter. This change adds an optional param to the useApiFilterArgs hook to always parse keys as string[]
* fix notifications register button from being incorrectly disabled
* Frontend timezone fixes
Last recording date timezone was being applied twice, so it displayed the wrong date
Also, TZDate from react-day-picker could have been behaving incorrectly at times without a full date string
* Ensure returned day is parsed as midnight in specified timezone
* Fix Norwegian language code for date-fns module import
* Fix incorrect apple compatibility change
* Add other and unused as separate storage items
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* i18n translated label fixes
* Fix frame cache race bug
Objects that were marked as false positives (that would later become true positives) would sometimes have their saved frame prematurely removed from the frame cache.
* Object labels with spaces should use correct i18n keys
* Add Hungarian
* Ensure onvif move request has a valid speed before removing
When autotracking zooming is set to `disabled` (or is left out of the config), move_request["Speed"] may not exist, depending on the camera
* Add another frame cache debug log
* Don't allow editing of sub label until object lifecycle has ended
* Update sub labels in ended review segments
When manually editing a sub label for a tracked object from the UI, any review segments containing that tracked object did not have their sub_labels and objects values altered
* simplify
* Additional onvif debug logs in get_camera_status
* Ensure that best object is only set when the snapshot is actually updated.
* Don't hide downlaod button when there is no review item
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Ensure config editor recalculates layout on error
* ensure empty lists are returned when lpr recognition model fails
* Add docs section for session_length
* clarify
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* clarify
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Catch missing file
* Improve graph axis colors
* Ensure playback rate controls are portaled to the video container in history view
On larger tablets in landscape view, the playback rate dropdown disappeared underneath the bottom bar. This small change ensures we use the correct container on the DropdownMenuContent so that the div is portaled correctly. The VideoControls are also used in motion review which does not pass in a container ref, so we can just fall back to the existing controlsContainer ref when it's undefined.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* fix i18n keys
* hide disable from context menu for viewers
* Fix auto live check for default dashboard and camera groups
Disabling the Automatic Live View switch in Settings should prevent streaming from occurring. Overriding any settings in a camera group will override the global setting. The check here incorrectly always returned false instead of undefined.
* clarify hardware accelerated enrichments
* clarify
* add note about detect stream to face rec docs
* add note about low end Dahuas for autotracking
* Catch invalid face box / image
* Video tab tweaks
With the changes in https://github.com/blakeblackshear/frigate/pull/18220, the video tab in the Tracked Object Details pane now correctly trims the in-browser HLS video. Because of keyframes and record/detect stream differences, we can manually subtract a couple of seconds from the event start_time to ensure the first few frames aren't cut off from the video
* Clarify
* Don't use Migraphx by default
* Provide better support for running embeddings on GPU
* correctly join cameras
* Adjust blur confidence reduction
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.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>
