* use react-jsonschema-form for UI config
* don't use properties wrapper when generating config i18n json
* configure for full i18n support
* section fields
* add descriptions to all fields for i18n
* motion i18n
* fix nullable fields
* sanitize internal fields
* add switches widgets and use friendly names
* fix nullable schema entries
* ensure update_topic is added to api calls
this needs further backend implementation to work correctly
* add global sections, camera config overrides, and reset button
* i18n
* add reset logic to global config view
* tweaks
* fix sections and live validation
* fix validation for schema objects that can be null
* generic and custom per-field validation
* improve generic error validation messages
* remove show advanced fields switch
* tweaks
* use shadcn theme
* fix array field template
* i18n tweaks
* remove collapsible around root section
* deep merge schema for advanced fields
* add array field item template and fix ffmpeg section
* add missing i18n keys
* tweaks
* comment out api call for testing
* add config groups as a separate i18n namespace
* add descriptions to all pydantic fields
* make titles more concise
* new titles as i18n
* update i18n config generation script to use json schema
* tweaks
* tweaks
* rebase
* clean up
* form tweaks
* add wildcards and fix object filter fields
* add field template for additionalproperties schema objects
* improve typing
* add section description from schema and clarify global vs camera level descriptions
* separate and consolidate global and camera i18n namespaces
* clean up now obsolete namespaces
* tweaks
* refactor sections and overrides
* add ability to render components before and after fields
* fix titles
* chore(sections): remove legacy single-section components replaced by template
* refactor configs to use individual files with a template
* fix review description
* apply hidden fields after ui schema
* move util
* remove unused i18n
* clean up error messages
* fix fast refresh
* add custom validation and use it for ffmpeg input roles
* update nav tree
* remove unused
* re-add override and modified indicators
* mark pending changes and add confirmation dialog for resets
* fix red unsaved dot
* tweaks
* add docs links, readonly keys, and restart required per field
* add special case and comments for global motion section
* add section form special cases
* combine review sections
* tweaks
* add audio labels endpoint
* add audio label switches and input to filter list
* fix type
* remove key from config when resetting to default/global
* don't show description for new key/val fields
* tweaks
* spacing tweaks
* add activity indicator and scrollbar tweaks
* add docs to filter fields
* wording changes
* fix global ffmpeg section
* add review classification zones to review form
* add backend endpoint and frontend widget for ffmpeg presets and manual args
* improve wording
* hide descriptions for additional properties arrays
* add warning log about incorrectly nested model config
* spacing and language tweaks
* fix i18n keys
* networking section docs and description
* small wording tweaks
* add layout grid field
* refactor with shared utilities
* field order
* add individual detectors to schema
add detector titles and descriptions (docstrings in pydantic are used for descriptions) and add i18n keys to globals
* clean up detectors section and i18n
* don't save model config back to yaml when saving detectors
* add full detectors config to api model dump
works around the way we use detector plugins so we can have the full detector config for the frontend
* add restart button to toast when restart is required
* add ui option to remove inner cards
* fix buttons
* section tweaks
* don't zoom into text on mobile
* make buttons sticky at bottom of sections
* small tweaks
* highlight label of changed fields
* add null to enum list when unwrapping
* refactor to shared utils and add save all button
* add undo all button
* add RJSF to dictionary
* consolidate utils
* preserve form data when changing cameras
* add mono fonts
* add popover to show what fields will be saved
* fix mobile menu not re-rendering with unsaved dots
* tweaks
* fix logger and env vars config section saving
use escaped periods in keys to retain them in the config file (eg "frigate.embeddings")
* add timezone widget
* role map field with validation
* fix validation for model section
* add another hidden field
* add footer message for required restart
* use rjsf for notifications view
* fix config saving
* add replace rules field
* default column layout and add field sizing
* clean up field template
* refactor profile settings to match rjsf forms
* tweaks
* refactor frigate+ view and make tweaks to sections
* show frigate+ model info in detection model settings when using a frigate+ model
* update restartRequired for all fields
* fix restart fields
* tweaks and add ability enable disabled cameras
more backend changes required
* require restart when enabling camera that is disabled in config
* disable save when form is invalid
* refactor ffmpeg section for readability
* change label
* clean up camera inputs fields
* misc tweaks to ffmpeg section
- add raw paths endpoint to ensure credentials get saved
- restart required tooltip
* maintenance settings tweaks
* don't mutate with lodash
* fix description re-rendering for nullable object fields
* hide reindex field
* update rjsf
* add frigate+ description to settings pane
* disable save all when any section is invalid
* show translated field name in validation error pane
* clean up
* remove unused
* fix genai merge
* fix genai
The fallback to tensorflow was established back in 2023, because we could
not provide tflite-runtime downstream in nixpkgs.
By now we have ai-edge-litert available, which is the successor to the
tflite-runtime. It still provides the same entrypoints as tflite-runtime
and functionality has been verified in multiple deployments for the last
two weeks.
* Update version
* Create scaffolding for case management (#21293)
* implement case management for export apis (#21295)
* refactor vainfo to search for first GPU (#21296)
use existing LibvaGpuSelector to pick appropritate libva device
* Case management UI (#21299)
* Refactor export cards to match existing cards in other UI pages
* Show cases separately from exports
* Add proper filtering and display of cases
* Add ability to edit and select cases for exports
* Cleanup typing
* Hide if no unassigned
* Cleanup hiding logic
* fix scrolling
* Improve layout
* Camera connection quality indicator (#21297)
* add camera connection quality metrics and indicator
* formatting
* move stall calcs to watchdog
* clean up
* change watchdog to 1s and separately track time for ffmpeg retry_interval
* implement status caching to reduce message volume
* Export filter UI (#21322)
* Get started on export filters
* implement basic filter
* Implement filtering and adjust api
* Improve filter handling
* Improve navigation
* Cleanup
* handle scrolling
* Refactor temperature reporting for detectors and implement Hailo temp reading (#21395)
* Add Hailo temperature retrieval
* Refactor `get_hailo_temps()` to use ctxmanager
* Show Hailo temps in system UI
* Move hailo_platform import to get_hailo_temps
* Refactor temperatures calculations to use within detector block
* Adjust webUI to handle new location
---------
Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com>
* Camera-specific hwaccel settings for timelapse exports (correct base) (#21386)
* added hwaccel_args to camera.record.export config struct
* populate camera.record.export.hwaccel_args with a cascade up to camera then global if 'auto'
* use new hwaccel args in export
* added documentation for camera-specific hwaccel export
* fix c/p error
* missed an import
* fleshed out the docs and comments a bit
* ruff lint
* separated out the tips in the doc
* fix documentation
* fix and simplify reference config doc
* Add support for GPU and NPU temperatures (#21495)
* Add rockchip temps
* Add support for GPU and NPU temperatures in the frontend
* Add support for Nvidia temperature
* Improve separation
* Adjust graph scaling
* Exports Improvements (#21521)
* Add images to case folder view
* Add ability to select case in export dialog
* Add to mobile review too
* Add API to handle deleting recordings (#21520)
* Add recording delete API
* Re-organize recordings apis
* Fix import
* Consolidate query types
* Add media sync API endpoint (#21526)
* add media cleanup functions
* add endpoint
* remove scheduled sync recordings from cleanup
* move to utils dir
* tweak import
* remove sync_recordings and add config migrator
* remove sync_recordings
* docs
* remove key
* clean up docs
* docs fix
* docs tweak
* Media sync API refactor and UI (#21542)
* generic job infrastructure
* types and dispatcher changes for jobs
* save data in memory only for completed jobs
* implement media sync job and endpoints
* change logs to debug
* websocket hook and types
* frontend
* i18n
* docs tweaks
* endpoint descriptions
* tweak docs
* use same logging pattern in sync_recordings as the other sync functions (#21625)
* Fix incorrect counting in sync_recordings (#21626)
* Update go2rtc to v1.9.13 (#21648)
Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com>
* Refactor Time-Lapse Export (#21668)
* refactor time lapse creation to be a separate API call with ability to pass arbitrary ffmpeg args
* Add CPU fallback
* Optimize empty directory cleanup for recordings (#21695)
The previous empty directory cleanup did a full recursive directory
walk, which can be extremely slow. This new implementation only removes
directories which have a chance of being empty due to a recent file
deletion.
* Implement llama.cpp GenAI Provider (#21690)
* Implement llama.cpp GenAI Provider
* Add docs
* Update links
* Fix broken mqtt links
* Fix more broken anchors
* Remove parents in remove_empty_directories (#21726)
The original implementation did a full directory tree walk to find and remove
empty directories, so this implementation should remove the parents as well,
like the original did.
* Implement LLM Chat API with tool calling support (#21731)
* Implement initial tools definiton APIs
* Add initial chat completion API with tool support
* Implement other providers
* Cleanup
* Offline preview image (#21752)
* use latest preview frame for latest image when camera is offline
* remove frame extraction logic
* tests
* frontend
* add description to api endpoint
* Update to ROCm 7.2.0 (#21753)
* Update to ROCm 7.2.0
* ROCm now works properly with JinaV1
* Arcface has compilation error
* Add live context tool to LLM (#21754)
* Add live context tool
* Improve handling of images in request
* Improve prompt caching
* Add networking options for configuring listening ports (#21779)
* feat: add X-Frame-Time when returning snapshot (#21932)
Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com>
* Improve jsmpeg player websocket handling (#21943)
* improve jsmpeg player websocket handling
prevent websocket console messages from appearing when player is destroyed
* reformat files after ruff upgrade
* Allow API Events to be Detections or Alerts, depending on the Event Label (#21923)
* - API created events will be alerts OR detections, depending on the event label, defaulting to alerts
- Indefinite API events will extend the recording segment until those events are ended
- API event start time is the actual start time, instead of having a pre-buffer of record.event_pre_capture
* Instead of checking for indefinite events on a camera before deciding if we should end the segment, only update last_detection_time and last_alert_time if frame_time is greater, which should have the same effect
* Add the ability to set a pre_capture number of seconds when creating a manual event via the API. Default behavior unchanged
* Remove unnecessary _publish_segment_start() call
* Formatting
* handle last_alert_time or last_detection_time being None when checking them against the frame_time
* comment manual_info["label"].split(": ")[0] for clarity
* ffmpeg Preview Segment Optimization for "high" and "very_high" (#21996)
* Introduce qmax parameter for ffmpeg preview encoding
Added PREVIEW_QMAX_PARAM to control ffmpeg encoding quality.
* formatting
* Fix spacing in qmax parameters for preview quality
* Adapt to new Gemini format
* Fix frame time access
* Remove exceptions
* Cleanup
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com>
Co-authored-by: Andrew Roberts <adroberts@gmail.com>
Co-authored-by: Eugeny Tulupov <zhekka3@gmail.com>
Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com>
Co-authored-by: John Shaw <1753078+johnshaw@users.noreply.github.com>
Co-authored-by: Eric Work <work.eric@gmail.com>
Co-authored-by: FL42 <46161216+fl42@users.noreply.github.com>
Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com>
Co-authored-by: nulledy <254504350+nulledy@users.noreply.github.com>
* Add shortSummary field to review summary to be used for notifications
* pull in current config version into default config
* fix crash when dynamically adding cameras
depending on where we are in the update loop, camera configs might not be updated yet and we are receiving detections already
* add no tracked objects and icon to explore summary view
* reset add camera wizard when closing and saving
* don't flash no exports icon while loading
* Improve handling of homekit config
* Increase prompt tokens reservation
* Adjust
* Catch event not found object detection
* Use thread lock for JinaV2 in onnxruntime
* remove incorrect embeddings process from memray docs
* only show transcribe button if audio event has video
* apply aspect ratio and margin constraints to path overlay in detail stream on mobile
improves a specific case where the overlay was not aligned with 4:3 cameras on mobile phones
* show metadata title as tooltip on icon hover in detail stream
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Fix genai callbacks in MQTT
* Cleanup cursor pointer for classification cards
* Cleanup
* Handle unknown SOCs for RKNN converter by only using known SOCs
* don't allow "none" as a classification class name
* change internal port user to admin and default unspecified username to viewer
* keep 5000 as anonymous user
* suppress tensorflow logging during classification training
* Always apply base log level suppressions for noisy third-party libraries even if no specific logConfig is provided
* remove decorator and specifically suppress TFLite delegate creation messages
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Exclude D-FINE from using CUDA Graphs
* fix objects count in detail stream
* Add debugging for classification models
* validate idb stored stream name and reset if invalid
fixes https://github.com/blakeblackshear/frigate/discussions/21311
* ensure jina loading takes place in the main thread to prevent lazily importing tensorflow in another thread later
reverts atexit changes in https://github.com/blakeblackshear/frigate/pull/21301 and fixes https://github.com/blakeblackshear/frigate/discussions/21306
* revert old atexit change in bird too
* revert types
* ensure we bail in the live mode hook for empty camera groups
prevent infinite rendering on camera groups with no cameras
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Adds support for YOLO v9 models running on Google Coral
* fix format by using ruff instead of black
* Remove comment
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Remove log message
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* revert to hard-coded settings. use ModelTypeEnum directly
* remove log messages. detect invalid output tensor count
* remove 1-tensor processing. add pre_process() function
* check for valid model type
* fix formatting
* remove unused import and variable
* remove tip that indicates other YOLO models may be supported.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Don't warn when event ids have expired for trigger sync
* Import faster_whisper conditinally to avoid illegal instruction
* Catch OpenVINO runtime error
* fix race condition in detail stream context
navigating between tracked objects in Explore would sometimes prevent the object track from appearing
* Handle case where classification images are deleted
* Adjust default rounded corners on larger screens
* Improve flow handling for classification state
* Remove images when wizard is cancelled
* Improve deletion handling for classes
* Set constraints on review buffers
* Update to support correct data format
* Set minimum duration for recording based review items
* Use friendly name in review genai prompt
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* show id field when editing zone
* improve zone capitalization
* Update NPU models and docs
* fix mobilepage in tracked object details
* Use thread lock for openvino to avoid concurrent requests with JinaV2
* fix hashing function to avoid collisions
* remove extra flex div causing overflow
* ensure header stays on top of video controls
* don't smart capitalize friendly names
* Fix incorrect object classification crop
* don't display submit to plus if object doesn't have a snapshot
* check for snapshot and clip in actions menu
* frigate plus submission fix
still show frigate+ section if snapshot has already been submitted and run optimistic update, local state was being overridden
* Don't fail to show 0% when showing classification
* Don't fail on file system error
* Improve title and description for review genai
* fix overflowing truncated review item description in detail stream
* catch events with review items that start after the first timeline entry
review items may start later than events within them, so subtract a padding from the start time in the filter so the start of events are not incorrectly filtered out of the list in the detail stream
* also pad on review end_time
* fix
* change order of timeline zoom buttons on mobile
* use grid to ensure genai title does not cause overflow
* small tweaks
* Cleanup
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Correctly sort summary responses
* Consider JinaV2 as a complex model
* Subscribe to record updates in camera watchdog
* Cleanup score showing
* No need to sort review summary
* Add tests for recording summary
* Don't break existing format
* Sort event summary by day
* Adjust for commutes
* Tweaks
* Don't show no models view in grid
* Add text-md to inputs
* Adjust train title for mobile
* Cleanup prompt more
* Use i18n functions for tooltip
* Fix model complexity causing crash
* Cleanup
* Update ROCm to 7.0.1
* Update ONNXRuntime
* Add back in
* Get basic detection working
* Use env vars
* Handle complex migraphx models
* Enable model caching
* Remove unused
* Add tip to docs
* [Init] Initial commit for Synaptics SL1680 NPU
* add a rough detector which is testing with yolov8 tflite model.
* [Feat] Add dependencies installation in docker build
- Add runtime library and wheels installation in main/Dockerfile
- Add model.synap(default model, transfer from mobilenet_224full80) in docker/synap1680
* [Update] Remove dependencies installation from main Dockerfile
- remove deps installation from Dockerfile
- add dependencies installation and split wheels, deps stage in synap1680 Dockerfile
* Refactor synap detector to more closely match other implementations
* [Update] Add model path configuration check
* [Update] update ModelType to ssd
* [Update] Remove unuse script
- install_deps.sh has already been executing in deps download stage
- Dockerfile.toolchain is for testing to extract runtime libraries from Synaptics toolchain
* [Update] update Synaptics SL1680 setup description
* [Update] remove install_synap1680
- The deps download and installation is existed in synap1680
* [Fix] update document content
* [Update] Update detector from synap1680 to synaptics
This update is in order to make the synaptics SL-series NPU detector more general.
- Fix detector `os` module not import bug
- Update detector type `synap1680` to `synaptics`
- Update document description `SL1680` to `Synaptics` only
- Update docker build content `synap1680` to `synaptics`
* [Fix] Update configuration document
* Update docs/docs/configuration/object_detectors.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* [Update] Update document content and detector default layout
- Update object_detectors document
- Update detector's default layout
- Update default model name
* [Update] Update object detector document content
* [Fix] Fix InputTensorEnum not defined error
- import InputTensorEnum from detector_config
* [Update] Update detector script coding format
* [Update] Update synaptics detector coding format
* [Update] Add synaptics ci workflow
* [Update] update synaptics runtime libs download path
- Fork Synaptics astra sdk repo and put the runtime lib package on it
- Frigate team can update this download path later
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Cleanup onnx detector
* Fix
* Fix classification cropping
* Deprioritize openvino
* Send model type
* Use model type to decide if model can use full optimization
* Clenanup
* Cleanup
* Use OpenVINO directly to detect if devices are available
* Cleanup
* Update OpenVINO
* Cleanup
* Don't try to use OpenVINO when CPU is set as device
* Catch case where input tensor can't be pre-defined
* Cleanup
* Use re-usable inference request to reduce CPU usage
* Share tensor
* Don't count performance
* Create openvino runner class
* Break apart onnx runner
* Add specific note about inability to use CUDA graphs for some models
* Adjust rknn to use RKNNRunner
* Use optimized runner
* Add support for non-complex models for CudaExecutionProvider
* Use core mask for rknn
* Correctly handle cuda input
* Cleanup
* Sort imports
* Added degirum plugin, updated documentation for degirum detector usage, updated requirements with degirum_headless
* Fixed broken link
* Made it so openvino prioritizes using GPU and NPU over CPU
* Version that detects model and can begin using @local
* Updating requirements to build dev container
* Added optimized version of degirum plugin + updated docs
* Added guard clause for empty inference reponse
* Updated DeGirum's docs
* Moved DeGirum section to 'Community' detectors, fixed formatting of headers to be more consistent with the rest of the page, and removed uneeded 'models' folder
* Moved DeGirum section to correct place in community models
* Update ROCm to 6.4.0 (#18264)
* Update to rocm 6.4.0
* Update URL
* Remove old env var
* Dynamic Config Updates (#18353)
* Create classes to handle publishing and subscribing config updates
* Cleanup
* Use config updater
* Update handling for enabled config
* Cleanup
* Recording config updates
* Birdseye config updates
* Handle notifications
* handle review
* Update motion
* Dynamically update masks and zones for cameras (#18359)
* 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
* Initial custom classification model config support (#18362)
* 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
* Implement support for no recordings indicator on timeline (#18363)
* 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
* Update ROCm to 6.4.1 (#18364)
* Update rocm to 6.4.1
* Quick fix
* Add ability to configure when custom classification models run (#18380)
* Add config to control when classification models are run
* Cleanup
* Add basic config editor when Frigate can't startup (#18383)
* 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
* Fix incorrectly running lpr (#18390)
* Audio transcription support (#18398)
* 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
* Implement API to train classification models (#18475)
* Intel updates (#18493)
* Update openvino and onnxruntime
* Install icd and level-zero-gpu deps from intel directly
* Install
* Add dep
* Fix package install
* Tiered recordings (#18492)
* Implement tiered recording
* Add migration for record config
* Update docs
* Update reference docs
* Fix preview query
* Fix incorrect accesses
* Fix
* Fix
* Fix
* Fix
* Upgrade PaddleOCR models to v4 (rec) and v5 (det) (#18505)
The PP_OCRv5 text detection models have greatly improved over v3. The v5 recognition model makes improvements to challenging handwriting and uncommon characters, which are not necessary for LPR, so using v4 seemed like a better choice to continue to keep inference time as low as possible. Also included is the full dictionary for Chinese character support.
* Audio transcription tweaks (#18540)
* use model runner
* unload whisper model when live transcription is complete
* Classification Model UI (#18571)
* 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
* Live classification model training (#18583)
* 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
* Classification Model Metrics (#18595)
* Add speed and rate metrics for custom classification models
* Use metrics for classification models
* Use keys
* Cast to list
* Add Mesa Teflon as a TFLite detector (#18310)
* Refactor common functions for tflite detector implementations
* Add detector using mesa teflon delegate
Non-EdgeTPU TFLite can use the standard .tflite format
* Add mesa-teflon-delegate from bookworm-backports to arm64 images
* feat: enable using GenAI for cameras with GenAI disabled from the API (#18616)
* fix: Initialize GenAI client if GenAI is enabled globally (#18623)
* Make Birdseye clickable (#18628)
* keep track of layout changes and publish on change
* websocket hook
* clickable overlay div to navigate to full camera view
* Refactor TensorRT (#18643)
* 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
* Dynamic Management of Cameras (#18671)
* 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>
* Use Fork-Server As Spawn Method (#18682)
* 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>
* Add basic camera settings to UI for testing (#18690)
* add basic camera add/edit pane to the UI for testing
* only init model runner if transcription is enabled globally
* fix role checkboxes
* Ensure logging config is propagated to forked processes (#18704)
* Move log level initialization to log
* Use logger config
* Formatting
* Fix config order
* Set process names
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix go2rtc init (#18708)
* Cleanup process handling
* Adjust process name
* Reduce tf initialization
* Don't use staticmethod
* Don't fail on unicode debug for config updates
* Catch unpickling error
* Fix birdseye crash when dynamically adding a camera (#18821)
* Catch invalid character index in lpr CTC decoder (#18825)
* Classification model cover images (#18843)
* Move to separate component
* Add cover images for clssification models
* Fix process name
* Handle SIGINT with forkserver (#18860)
* Pass stopevent from main start
* Share stop event across processes
* preload modules
* remove explicit os._exit call
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Don't try to close or join mp manager queues (#18866)
Multiprocessing Manager queues don't have a close() or join_thread() method, and the Manager will clean it up appropriately after we empty it. This prevents an infinite loop when an AttributeError exception fires for Manager AutoProxy queue objects.
* Improve logging (#18867)
* Ignore numpy get limits warning
* Add function wrapper to redirect stdout and stderr to logpipe
* Save stderr too
* Add more to catch
* run logpipe
* Use other logging redirect class
* Use other logging redirect class
* add decorator for redirecting c/c++ level output to logger
* fix typing
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Add ONVIF focus support (#18883)
* backend
* frontend and i18n
* 0.17 tweaks (#18892)
* Set version
* Cleanup more logs
* Don't log matplotlib
* Improve object classification (#18908)
* 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
* Remove TFLite init logs
* Improve classification UI (#18910)
* Move threhsold to base model config
* Improve score handling
* Add back button
* Classification improvements (#19020)
* Move classification training to full process
* Sort class images
* Semantic Search Triggers (#18969)
* 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
* Optionally show tracked object paths in debug view (#19025)
* Dynamically enable/disable GenAI (#19139)
* config
* dispatcher and mqtt
* docs
* use config updater
* add switch to frontend
* Classification train updates (#19173)
* Improve model train button
* Add filters for classification
* Cleanup
* Don't run classification on false positives
* Cleanup filter
* Fix icon color
* Object attribute classification (#19205)
* Add enum for type of classification for objects
* Update recognized license plate topic to be used as attribute updater
* Update attribute for attribute type object classification
* Cleanup
* Require setting process priority for FrigateProcess (#19207)
* Add bookworm-backports to the rocm images and upgrade mesa/vaapi to support RDNA4 GPUs (#19312)
* Improve the tablet layout (#19320)
* Improve the tablet layout
* Update imports sort
* Fix more imports
* Implement start for review item description processor (#19352)
* Add review item data transmission
* Publish review updates
* Add review item subscriber
* Basic implementation for testing review processor
* Formatting
* Cleanup
* Improve comms typing (#18599)
* Enable mypy for comms
* Make zmq data types consistent
* Cleanup inter process typing issues
* Cleanup embeddings typing
* Cleanup config updater
* Cleanup recordings updator
* Make publisher have a generic type
* Cleanup event metadata updater
* Cleanup event metadata updater
* Cleanup detections updater
* Cleanup websocket
* Cleanup mqtt
* Cleanup webpush
* Cleanup dispatcher
* Formatting
* Remove unused
* Add return type
* Fix tests
* Fix semantic triggers config typing
* Cleanup
* Ensure alertVideos persistence is loaded before displaying thumb or preview (#19432)
The default value of true would cause previews to be loaded in the background even if the local storage value was false
* Adjust loitering behavior based on object type (#19433)
* Adjust loitering behavior based on object
* Update docs
* Grammar
* Enable mypy for DB and fix types (#19434)
* Install peewee type hints
* Models now have proper types
* Fix iterator type
* Enable debug builds with dev reqs installed
* Install as wheel
* Fix cast type
* Migrate object genai configuration (#19437)
* Move genAI object to objects section
* Adjust config propogation behavior
* Refactor genai config usage
* Automatic migration
* Always start the embeddings process
* Always init embeddings
* Config fixes
* Adjust reference config
* Adjust docs
* Formatting
* Fix
* Review Item GenAI metadata (#19442)
* Rename existing function
* Keep track of thumbnial updates
* Tinkering with genai prompt
* Adjust input format
* Create model for review description output
* testing prompt changes
* Prompt improvements and image saving
* Add config for review items genai
* Use genai review config
* Actual config usage
* Adjust debug image saving
* Fix
* Fix review creation
* Adjust prompt
* Prompt adjustment
* Run genai in thread
* Fix detections block
* Adjust prompt
* Prompt changes
* Save genai response to metadata model
* Handle metadata
* Send review update to dispatcher
* Save review metadata to DB
* Send review notification updates
* Quick fix
* Fix name
* Fix update type
* Correctly dump model
* Add card
* Add card
* Remove message
* Cleanup typing and UI
* Adjust prompt
* Formatting
* Add log
* Formatting
* Add inference speed and keep alive
* Review genai updates (#19448)
* Include extra level for normal activity
* Add dynamic toggling
* Update docs
* Add different threshold for genai
* Adjust webUI for object and review description feature
* Adjust config
* Send on startup
* Cleanup config setting
* Set config
* Fix config name
* Use preview frames for Review Descriptions (#19450)
* Use preview frames for genai
* Cleanup
* Adjust
* Add config for users to define additional concerns that GenAI should make note of in review summary (#19463)
* Don't default to openai
* Improve UI
* Allow configuring additional concerns that users may want the AI to note
* Formatting
* Add preferred language config
* Remove unused
* Added total camera fps, total processed fps, and total skipped fps to stats api (#19469)
Co-authored-by: Mark Francis <markfrancisonly@gmail.com>
* Genai review summaries (#19473)
* Generate review item summaries with requests
* Adjust logic to only send important items
* Don't mention ladder
* Adjust prompt to be more specific
* Add more relaxed nature for normal activity
* Cleanup summary
* Update ollama client
* Add more directions to analyze the frames in order
* Remove environment from prompt
* Add ability to pass additional args to Ollama (#19484)
* Call out recognized objects more specifically
* Cleanup
* Make keep_alive and options configurable
* Generalize
* Use for other providers
* Update GenAI docs for new review summaries feature (#19493)
* Remove old genai docs
* Separate existing genai docs to separate sections
* Add docs for genai features
* Update reference config
* Update link
* Move to bottom
* Improve natural language of prompt (#19515)
* Make sequence details human-readable so they are used in natural language response
* Cleanup
* Improve prompt and image selection
* Adjust
* Adjust sligtly
* Format time
* Adjust frame selection logic
* Debug save response
* Ignore extra fields
* Adjust docs
* Cleanup filename sanitization
* Added degirum plugin, updated documentation for degirum detector usage, updated requirements with degirum_headless
* Fixed broken link
* Made it so openvino prioritizes using GPU and NPU over CPU
* Version that detects model and can begin using @local
* Added optimized version of degirum plugin + updated docs
* Updating requirements to build dev container
* Added guard clause for empty inference reponse
* Updated DeGirum's docs
* Moved DeGirum section to 'Community' detectors, fixed formatting of headers to be more consistent with the rest of the page, and removed uneeded 'models' folder
* Moved DeGirum section to correct place in community models
* Added degirum plugin, updated documentation for degirum detector usage, updated requirements with degirum_headless
* Fixed broken link
* Made it so openvino prioritizes using GPU and NPU over CPU
* Version that detects model and can begin using @local
* Added optimized version of degirum plugin + updated docs
* Updating requirements to build dev container
* Added guard clause for empty inference reponse
* Updated DeGirum's docs
* Moved DeGirum section to 'Community' detectors, fixed formatting of headers to be more consistent with the rest of the page, and removed uneeded 'models' folder
* Moved DeGirum section to correct place in community models
* Added degirum plugin, updated documentation for degirum detector usage, updated requirements with degirum_headless
* Fixed broken link
* Made it so openvino prioritizes using GPU and NPU over CPU
* Version that detects model and can begin using @local
* Added optimized version of degirum plugin + updated docs
* Updating requirements to build dev container
* Added guard clause for empty inference reponse
* Updated DeGirum's docs
* Moved DeGirum section to 'Community' detectors, fixed formatting of headers to be more consistent with the rest of the page, and removed uneeded 'models' folder
* Moved DeGirum section to correct place in community models
* Reverted changes to classification and audio
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Co-authored-by: Jimmy <honj@alum.rpi.edu>
Co-authored-by: FL42 <46161216+fl42@users.noreply.github.com>
Co-authored-by: Steve Smith <tarkasteve@gmail.com>
Co-authored-by: markfrancisonly <12145270+markfrancisonly@users.noreply.github.com>
Co-authored-by: Mark Francis <markfrancisonly@gmail.com>
