* fix ollama chat tool calling
handle dict arguments, streaming fallback, and message format
* pin setuptools<81 to ensure pkg_resources remains available
When ensure_torch_dependencies() installs torch/torchvision via pip, it can upgrade setuptools to >=81.0.0, which removed the pkg_resources module. rknn-toolkit2 depends on pkg_resources internally, so subsequent RKNN conversion fails with No module named 'pkg_resources'.
* debug replay implementation
* fix masks after dev rebase
* fix squash merge issues
* fix
* fix
* fix
* no need to write debug replay camera to config
* camera and filter button and dropdown
* add filters
* add ability to edit motion and object config for debug replay
* add debug draw overlay to debug replay
* add guard to prevent crash when camera is no longer in camera_states
* fix overflow due to radix absolutely positioned elements
* increase number of messages
* ensure deep_merge replaces existing list values when override is true
* add back button
* add debug replay to explore and review menus
* clean up
* clean up
* update instructions to prevent exposing exception info
* fix typing
* refactor output logic
* refactor with helper function
* move init to function for consistency
* migrator and runtime config changes
* component changes to use rasterized_mask
* frontend
* convert none to empty string for config save
* i18n
* update tests
* add enabled config to zones
* zones frontend
* i18n
* docs
* tweaks
* use dashed stroke to indicate disabled
* allow toggle from icon
* use filelock to ensure atomic config updates from endpoint
* enforce atomic config update in the frontend
* toggle via mqtt
* fix global object masks
* correctly handle global object masks in dispatcher
* ws hooks
* render masks and zones based on ws enabled state
* use enabled_in_config for zones and masks
* frontend for enabled_in_config
* tweaks
* i18n
* publish websocket on config save
* i18n tweaks
* pydantic title and description
* i18n generation
* tweaks
* fix typing
* 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
* GenAI client manager
* Add config migration
* Convert to roles list
* Support getting client via manager
* Cleanup
* Fix import issues
* Set model in llama.cpp config
* Clenaup
* Use config update
* Clenaup
* Add new title and desc
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.
The psutil library reads the process commandline as by opening
/proc/pid/cmdline which returns a buffer that is larger than just the
program cmdline due to rounded memory allocation sizes.
That means that if the library does not detect a Null-terminated string
it keeps appending empty strings which add up as whitespaces when joined.
* - 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
* use latest preview frame for latest image when camera is offline
* remove frame extraction logic
* tests
* frontend
* add description to api endpoint
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.
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.
* 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
* Add rockchip temps
* Add support for GPU and NPU temperatures in the frontend
* Add support for Nvidia temperature
* Improve separation
* Adjust graph scaling
* 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 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>
* 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
* 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>
* improve chip tooltip display
- use formatList to use i18n separators instead of commas
- ensure the correct event type is used so sublabels are not run through normalization
- remove smart-capitalization classes as translated labels use i18n (which includes capitalization)
- give icons an optional key so that the console doesn't complain about duplication when rendering
* Add grace period for recording segment checks to prevent spurious ffmpeg restarts
* add admin precedence to proxy role_map resolution to prevent downgrade
* clean up
* formatting
* work around radix pointer events issue when dialog is opened from drawer
fixes https://github.com/blakeblackshear/frigate/discussions/21940
* prevent console warnings about missing titles and descriptions
make these invisible with sr-only
* remove duplicate language
* Adjust handling for device sizes
* Cleanup
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Adjust title prompt to have less rigidity
* Improve motion boxes handling for features that don't require motion
* Improve handling of classes starting with digits
* Improve vehicle nuance
* tweak lpr docs
* Improve grammar
* Don't allow # in face name
* add password requirements to new user dialog
* change password requirements
* Clenaup
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Add 640x640 Intel NPU stats
* use css instead of js for reviewed button hover state in filmstrip
* update copilot instructions to copy HA's format
* Set json schema for genai
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* use default stable api version for gemini genai client
* update gemini docs
* remove outdated genai.md and update correct file
* Classification fixes
* Mutate when a date is selected and marked as reviewed
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* tracking details tweaks
- fix 4:3 layout
- get and use aspect of record stream if different from detect stream
* aspect ratio docs tip
* spacing
* fix
* i18n fix
* additional logs on ffmpeg exit
* improve no camera view
instead of showing an "add camera" message, show a specific message for empty camera groups when frigate already has cameras added
* add note about separate onvif accounts in some camera firmware
* clarify review summary report docs
* review settings tweaks
- remove horizontal divider
- update description language for switches
- keep save button disabled until review classification settings change
* use correct Toaster component from shadcn
* clarify support for intel b-series (battlemage) gpus
* add clarifying comment to dummy camera docs
* misc triggers tweaks
i18n fixes
fix toaster color
fix clicking on labels selecting incorrect checkbox
* update copilot instructions
* lpr docs tweaks
* add retry params to gemini
* i18n fix
* ensure users only see recognized plates from accessible cameras in explore
* ensure all zone filters are converted to pixels
zone-level filters were never converted from percentage area to pixels. RuntimeFilterConfig was only applied to filters at the camera level, not zone.filters.
Fixes https://github.com/blakeblackshear/frigate/discussions/21694
* add test for percentage based zone filters
* use export id for key instead of name
* update gemini docs
* fix(recording): handle unexpected filenames in cache maintainer to prevent crash
* test(recording): add test for maintainer cache file parsing
* Prevent log spam from unexpected cache files
Addresses PR review feedback: Add deduplication to prevent warning
messages from being logged repeatedly for the same unexpected file
in the cache directory. Each unexpected filename is only logged once
per RecordingMaintainer instance lifecycle.
Also adds test to verify warning is only emitted once per filename.
* Fix code formatting for test_maintainer.py
* fixes + ruff
* Fix jetson stats reading
* Return result
* Avoid unknown class for cover image
* fix double encoding of passwords in camera wizard
* formatting
* empty homekit config fixes
* add locks to jina v1 embeddings
protect tokenizer and feature extractor in jina_v1_embedding with per-instance thread lock to avoid the "Already borrowed" RuntimeError during concurrent tokenization
* Capitalize correctly
* replace deprecated google-generativeai with google-genai
update gemini genai provider with new calls from SDK
provider_options specifies any http options
suppress unneeded info logging
* fix attribute area on detail stream hover
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Strip model name before training
* Handle options file for go2rtc option
* Make reviewed optional and add null to API call
* Send reviewed for dashboard
* Allow setting context size for openai compatible endpoints
* push empty go2rtc config to avoid homekit error in log
* Add option to set runtime options for LLM providers
* Docs
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Correctly set query padding
* Adjust AMD headers and add community badge
* Simplify getting started guide for camera wizard
* add optimizing performance guide
* tweaks
* fix character issue
* fix more characters
* fix links
* fix more links
* Refactor new docs
* Add import
* Fix link
* Don't list hardware
* Reduce redundancy in titles
* Add note about Intel NPU and addon
* Fix ability to specify if card is using heading
* improve display of area percentage
* fix text color on genai summary chip
* fix indentation in genai docs
* Adjust default config model to align with recommended
* add correct genai key
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Use thread lock for JinaV2 call as it sets multiple internal fields while being called
* fix audio label translation in explore filter
* Show event in all cases, even without non-none match
* improve i18n key fallback when translation files aren't loaded
just display a valid time now instead of "invalid time"
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@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>
* use fallback timeout for opening media source
covers the case where there is no active connection to the go2rtc stream and the camera takes a long time to start
* Add review thumbnail URL to integration docs
* fix weekday starting point on explore when set to monday in UI settings
* only show allowed cameras and groups in camera filter button
* Reset the wizard state after closing with model
* remove footnote about 0.17
* 0.17
* add triggers to note
* add slovak
* Ensure genai client exists
* Correctly catch JSONDecodeError
* clarify docs for none class
* version bump on updating page
* fix ExportRecordingsBody to allow optional name field
fixes https://github.com/blakeblackshear/frigate/discussions/21413 because of https://github.com/blakeblackshear/frigate-hass-integration/pull/1021
* Catch remote protocol error from ollama
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Send preferred language for report service
* make object lifecycle scrollable in tracking details
* fix info popovers in live camera drawer
* ensure metrics are initialized if genai is enabled
* docs
* ollama cloud model docs
* Ensure object descriptions get claened up
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* remove footer messages and add update topic to motion tuner view
restart after changing values is no longer required
* add cache key and activity indicator for loading classification wizard images
* Always mark model as untrained when a classname is changed
* clarify object classification docs
* add debug logs for individual lpr replace_rules
* update memray docs
* memray tweaks
* Don't fail for audio transcription when semantic search is not enabled
* Fix incorrect mismatch for object vs sub label
* Check if the video is currently playing when deciding to seek due to misalignment
* Refactor timeline event handling to allow multiple timeline entries per update
* Check if zones have actually changed (not just count) for event state update
* show event icon on mobile
* move div inside conditional
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.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>
* attributes endpoint
* event endpoints
* add attributes to more filters
* add to suggestions and query in explore
* support attributes in search input
* i18n
* add object type filter to endpoint
* add attributes to tracked object details pane
* add generic multi select dialog
* save object attributes endpoint
* add group by param to fetch attributes endpoint
* add attribute editing to tracked object details
* docs
* fix docs
* update openapi spec to match python
* fix coral docs
* add note about sub label object classification with person
* Catch OSError for deleting classification image
* add docs for dummy camera debugging
* add to sidebar
* fix formatting
* fix
* avx instructions are required for classification
* break text on classification card to prevent button overflow
* Ensure there is no NameError when processing
* Don't use region for state classification models
* fix spelling
* Handle attribute based models
* Catch case of non-trained model that doesn't add infinite number of classification images
* Actually train object classification models automatically
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.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>
* Wait for config to load before evaluating route access
Fix race condition where custom role users are temporarily denied access after login while config is still loading. Defer route rendering in DefaultAppView until config is available so the complete role list is known before ProtectedRoute evaluates permissions
* Use batching for state classification generation
* Ignore incorrect scoring images if they make it through the deletion
* Delete unclassified images
* mitigate tensorflow atexit crash by pre-importing tflite/tensorflow on main thread
Pre-import Interpreter in embeddings maintainer and add defensive lazy imports in classification processors to avoid worker-thread tensorflow imports causing "can't register atexit after shutdown"
* don't require old password for users with admin role when changing passwords
* don't render actions menu if no options are available
* Remove hwaccel arg as it is not used for encoding
* change password button text
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix Safari popover issue in classification wizard
* use name for key instead of title
prevents duplicate key warnings when users mix vaapi and qsv
* update auth api endpoint descriptions and docs
* tweak headings
* fix note
* clarify classification docs
* Fix cuda birdseye
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
- don't look for event ids when trigger type is description
- don't try to delete thumbnail whe trigger type is description
- pass correct event ID into thumbnail deletion
* fix: Resolve deadlock and attribute error in embedding maintainer initialization
Updates the trigger embedding calculation to call embedding methods directly instead of using ZMQ. This prevents a deadlock during initialization where the ZMQ responder is not yet polling for requests.
Also updates sync_triggers to pass the camera name and trigger name to the calculation method, fixing an AttributeError where trigger.name was accessed on a TriggerConfig object.
* mocked repro
* Revert "mocked repro"
This reverts commit dea5b5d4db.
* fix formatting
* Update embeddings.py
new line
* only show jwt secret tip for admin users
* fix preview endpoint 403 for viewer role when "all" param is used
* Update docs dependencies
* add warning if ffmpeg isn't selected for reolink http streams
* Update the motion for motion masks
* Also update objects
* Add docs about backchannel and two way talk takeover
* don't require restart when deleting zone or mask
* Ensure motion is correctly set when adjusting masks
* don't use python style raw prefixes in yaml examples in LPR docs
* wording
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* conditionally display actions for admin role only
* only allow admins to save annotation offset
* Fix classification reset filter
* fix explore context menu from blocking pointer events on the body element after dialog close
applying modal=false to the menu (not to the dialog) to fix this in the same way as elsewhere in the codebase
* add select all link to face library, classification, and explore
* Disable iOS image dragging for classification card
* add proxmox ballooning comment
* lpr docs tweaks
* yaml list
* clarify tls_insecure
* Improve security summary format and usefulness
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix saving zone friendly name when it wasn't set
* Fix UTF-8 handling for Onvif
* Don't remove none directory for classes
* Lookup all event IDs for review item immediately
* Cleanup typing
* Only fetch events when review group is open
* Cleanup
* disable debug paths switch for autotracking cameras
* fix clickable birdseye
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* jwt permissions
* add old password to body req
* add model and migration
need to track the datetime that passwords were changed for the jwt
* auth api backend changes
- use os.open to create jwt secret with restrictive permissions (0o600: read/write for owner only)
- add backend validation for password strength
- add iat claim to jwt so the server can determine when a token was issued and reject any jwts issued before a user's password_changed_at timestamp, ensuring old tokens are invalidated after a password change
- set logout route to public to avoid 401 when logging out
- issue new jwt for users who change their own password so they stay logged in
* improve set password dialog
- add field to verify old password
- add password strength requirements
* frontend tweaks for password dialog
* i18n
* use verify endpoint for existing password verification
avoid /login side effects (creating a new session)
* public logout
* only check if password has changed on jwt refresh
* fix tests
Fix migration 030 by using raw sql to select usernames (avoid ORM selecting nonexistent columns)
* add multi device warning to password dialog
* remove password verification endpoint
Just send old_password + new password in one request, let the backend handle verification in a single operation
* remove extra gap controller overrides
* new vod endpoint for clips to set discontinuity
ensure tracking-detail playlists emit #EXT-X-DISCONTINUITY (avoids fMP4 timestamp rewrites and playback stalls) while leaving standard recordings behavior unchanged
* use new endpoint
* Remove source_type from API
* Don't require state classification models to select all classes
* Specifically validate provided end_time for manual events
* Remove yolov9 specification for warning
* Remove warning for coral
* clarify zone name tip
* clarify replace rules in lpr docs
* remove periods
* Add explanation for review report
* adjust HLS gap controller params
defaults to false, should help to recover from hangs and stalling in tracking details videos on chrome
* only redirect to login page once on 401
attempt to fix ios pwa safari redirect storm
* Use contextual information from other cameras to inform report summary
* Formatting and prompt improvements for review summary report
* More improvements to prompt
* Remove examples
* Don't show admin action buttons on export card
* fix redirect race condition
Coordinate 401 redirect logic between ApiProvider and ProtectedRoute using a shared flag to prevent multiple simultaneous redirects that caused UI flashing. Ensure both auth error paths check and set the redirect flag before navigating to login, eliminating race conditions where both mechanisms could trigger at once
---------
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>
* ensure audio events display timeline entries in tracking details
* tweak tracking details layout for small desktop sizes
* update transcription docs
* Update classification docs for training recommendations
* Make number of classification images to be kept configurable
* Add bird to classification reference
* Fix incorrect averaging of the segments so it correctly only uses the most recent segments
* fix trigger logic
* add ability to download clean snapshot
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Implement renaming in model editing dialog
* add transcription faq
* remove incorrect constraint for viewer as username
should be able to change anyone's role other than admin
* Don't save redundant state changes
* prevent crash when a camera doesn't support onvif imaging service required for focus support
* Fine tune behavior
* Stop redundant go2rtc stream metadata requests and defer audio information to allow bandwidth for image requests
* Improve cleanup logic for capture process
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Fix history management failing when updating URL
* Handle case where user doesn't have images that represent all states
If a user selects all imags and can't proceed we show a warning that they can still proceed but the model won't be trained until they get at least one image for every state.
* Still create all classes
We stil need to create all classes even if the user didn't assign images to them.
* fix camera group access for non admin users
changes from previous PR wrongly included users from the standard viewer role (but excluded custom viewer roles)
* Adjust threat level interaction to be less strict
* use base path when fetching go2rtc data
* show config error message when starting in safe mode
* fix genai migration
* fix genai
* Fix genai migration
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Don't add to history when opening search dialog
* Update caniuse
* Revamp the history handling for dialog components
* clarify audio transcription docs
* Use titlecase helper
* Allow running object clasasification on stationary objects
* small spacing tweaks for tablets
* require admin role to delete users
* explicitly prevent deletion of admin user
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* fix wording in reference config
* spacing tweaks
* make live view settings drawer scrollable
* clarify audio transcription docs
* change audio transcription icon to activity indicator when transcription is in progress
the backend doesn't implement any kind of queueing for speech event transcription
* tracking details tweaks
- Add attribute box overlay and area
- Add score
- Throttle swr revalidation during video component rerendering
* add mse codecs to console debug on errors
* add camera name
* update live view docs
* use swr as single source of truth for searchDetail
rather than maintaining a separate state, derive the selected item from swr cache. fixes websocket sync when regenerating descriptions or fetching transcriptions
* fix key warning in console
* don't try to fetch event from review item for audio events
* update audio transcription toast wording
* Add a community supported badge to specific detectors in the info summaries to better separate
* Make object classification publish to tracked object update and add examples for state classification
* Add item to advanced docs about tensorflow limiting
* Don't show submission for in progress objects
* fix for ios not reporting video dimensions on initial metadata load
in testing, polling with requestAnimationFrame finds the dimensions within 2 frames
* Catch jetson nvidia device tree
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Include DB in safe mode config
Copy DB when going into safe mode to avoid creating a new one if a user has configured a separate location
* Fix documentation for example log module
* Set minimum duration for recording segments
Due to the inpoint logic, some recordings would get clipped on the end of the segment with a non-zero duration but not enough duration to include a frame. 100 ms is a safe value for any video that is 10fps or higher to have a frame
* Add docs to explain object assignment for classification
* Add warning for Intel GPU stats bug
Add warning with explanation on GPU stats page when all Intel GPU values are 0
* Update docs with creation instructions
* reset loading state when moving through events in tracking details
* disable pip on preview players
* Improve HLS handling for startPosition
The startPosition was incorrectly calculated assuming continuous recordings, when it needs to consider only some segments exist. This extracts that logic to a utility so all can use it.
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* ensure viewer roles are available in create user dialog
* admin-only endpoint to return unmaksed camera paths and go2rtc streams
* remove camera edit dropdown
pushing camera editing from the UI to 0.18
* clean up camera edit form
* rename component for clarity
CameraSettingsView is now CameraReviewSettingsView
* Catch case where user requsts clip for time that has no recordings
* ensure emergency cleanup also sets has_clip on overlapping events
improves https://github.com/blakeblackshear/frigate/discussions/20945
* use debug log instead of info
* update docs to recommend tmpfs
* improve display of in-progress events in explore tracking details
* improve seeking logic in tracking details
mimic the logic of DynamicVideoController
* only use ffprobe for duration to avoid blocking
fixes https://github.com/blakeblackshear/frigate/discussions/20737#discussioncomment-14999869
* Revert "only use ffprobe for duration to avoid blocking"
This reverts commit 8b15078005.
* update readme to link to object detector docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* don't flatten the search result cache when updating
this would cause an infinite swr fetch if something was mutated and then fetch was called again
* Properly sort keys for recording summary in StorageMetrics
* tracked object description box tweaks
* Remove ability to right click on elements inside of face popup
* Update reprocess message
* don't show object track until video metadata is loaded
* fix blue line height calc for in progress events
* Use timeline tab by default for notifications but add a query arg for customization
* Try and improve notification opening behavior
* Reduce review item buffering behavior
* ensure logging config is passed to camera capture and tracker processes
* ensure on demand recording stops when browser closes
* improve active line progress height with resize observer
* remove icons and duplicate find similar link in explore context menu
* fix for initial broken image when creating trigger from explore
* display friendly names for triggers in toasts
* lpr and triggers docs updates
* remove icons from dropdowns in face and classification
* fix comma dangle linter issue
* re-add incorrectly removed face library button icons
* fix sidebar nav links on < 768px desktop layout
* allow text to wrap on mark as reviewed button
* match exact pixels
* clarify LPR docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* digest auth backend
* frontend
* i18n
* update field description language to include note about onvif specific credentials
* mask util helper function
* language
* mask passwords in http-flv and others where a url param is password
* backend api endpoint
* don't add no-credentials version of streams to rtsp_candidates
* frontend types
* improve types
* add optional probe dialog to wizard step 1
* i18n
* form description and field change
* add onvif form description
* match onvif probe pane with other steps in the wizard
* refactor to add probe and snapshot as step 2
* consolidate probe dialog
* don't change dialog size
* radio button style
* refactor to select onvif urls via combobox in step 3
* i18n
* add scrollbar container
* i18n cleanup
* fix button activity indicator
* match test parsing in step 3 with step 2
* hide resolution if both width and height are zero
* use drawer for stream selection on mobile in step 3
* suppress double toasts
* api endpoint description
* 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>
* Fix filtering for classification
* Adjust prompt to account for response tokens
* Correctly return response for reprocess
* Use API response to update data instead of trying to re-parse all of the values
* Implement rename class api
* Fix model deletion / rename dialog
* Remove camera spatial context
* Catch error
* 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>
* feat: add zones friendly name
* fix: fix the issue where the input field was empty when there was no friendly_name
* chore: fix the issue where the friendly name would replace spaces with underscores
* docs: update zones docs
* Update web/src/components/settings/ZoneEditPane.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Add friendly_name option for zone configuration
Added optional friendly name for zones in configuration.
* fix: fix the logical error in the null/empty check for the polygons parameter
* fix: remove the toast name for zones will use the friendly_name instead
* docs: remove emoji tips
* revert: revert zones doc ui tips
* Update docs/docs/configuration/zones.md
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update docs/docs/configuration/zones.md
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update docs/docs/configuration/zones.md
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* feat: add friendly zone names to tracking details and lifecycle item descriptions
* chore: lint fix
* refactor: add friendly zone names to timeline entries and clean up unused code
* refactor: add formatList
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* remove frigate+ icon from explore grid footer
* add margin
* pointer cursor on event menu items in detail stream
* don't show submit to plus for non-objects and if plus is disabled
* tweak spacing in annotation settings popover
* Fix deletion of classification images and library
* Ensure after creating a class that things are correct
* Fix dialog getting stuck
* Only show the genai summary popup on mobile when timeline is open
* fix audio transcription embedding
* spacing
* hide x icon on restart sheet to prevent closure issues
* prevent x overflow in detail stream on mobile safari
* ensure name is valid for search effect trigger
* add trigger to detail actions menu
* move find similar to actions menu
* Use a column layout for MobilePageContent in PlatformAwareSheet
This is so the header is outside the scrolling area and the content can grow/scroll independently. This now matches the way it's done in classification
* Skip azure execution provider
* add optional ref to always scroll to top
the more filters in explore was not scrolled to the top on open due to the use of framer motion
* fix title classes on desktop
---------
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
* Don't show model selection or back button when in multi select mode
* Add dialog to edit classification models
* Fix header spacing
* Cleanup desktop
* Incrase max number of object classifications
* fix iOS mobile card
* Cleanup
* Correctly remove classification model from config
* Undo
* fix
* Use existing config update API and dynamically remove models that were running
* Set update message for face
* Pull context size from openai models
* Adjust wording based on type of model
* Instruct to not use parenthesis
* Simplify genai config
* Don't use GPU for training
* Update docs for review descriptions
* Add logging for context tokens used
* Incrase number of images due to lower than expected context usage
* Re-balance the suspicious activity checks
* Adjustments to context sizing
* optimize context usage
* Adjust context usage
* Make title more direct
* Update docs
* 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
* black background
* fix backend logic
* fixes
* ensure data being sent to api is segment aligned
* tweak
* tweaks to keep motion review as-is
* fix for half segment fractional seconds when using zooming
* Make prompt more fair and reduce time extension
* Adjust naming of unrecognized objects
* Improve object naming behavior
* Add more context image levels
* tweak api to fetch multiple timelines
* support multiple selected objects in context
* rework context provider
* use toggle in detail stream
* use toggle in menu
* plot multiple object tracks
* verified icon, recognized plate, and clicking tweaks
* add plate to object lifecycle
* close menu before opening frigate+ dialog
* clean up
* normal text case for tooltip
* capitalization
* use flexbox for recording view
* Implement extraction of images for classification state models
* Add object classification dataset preparation
* Add first step wizard
* Update i18n
* Add state classification image selection step
* Improve box handling
* Add object selector
* Improve object cropping implementation
* Fix state classification selection
* Finalize training and image selection step
* Cleanup
* Design optimizations
* Cleanup mobile styling
* Update no models screen
* Cleanups and fixes
* Fix bugs
* Improve model training and creation process
* Cleanup
* Dynamically add metrics for new model
* Add loading when hitting continue
* Improve image selection mechanism
* Remove unused translation keys
* Adjust wording
* Add retry button for image generation
* Make no models view more specific
* Adjust plus icon
* Adjust form label
* Start with correct type selected
* Cleanup sizing and more font colors
* Small tweaks
* Add tips and more info
* Cleanup dialog sizing
* Add cursor rule for frontend
* Cleanup
* remove underline
* Lazy loading
* Add cutoff for object classification
* Add selector for classifiction model type
* Improve model selection view
* Clean up design of classification card
* Tweaks
* Adjust button colors
* Improvements to gradients and making face library consistent
* Add basic classification model wizard
* Use relative coordinates
* Properly get resolution
* Clean up exports
* Cleanup
* Cleanup
* Update to use pre-defined component for image shadow
* Refactor image grouping
* Clean up mobile
* Clean up decision logic
* Remove max check on classification objects
* Increase default number of faces shown
* Cleanup
* Improve mobile layout
* Clenaup
* Update vocabulary
* Fix layout
* Fix page
* Cleanup
* Choose last item for unknown objects
* Move explore button
* Cleanup grid
* Cleanup classification
* Cleanup grid
* Cleanup
* Set transparency
* Set unknown
* Don't filter all configs
* Check length
* Add optional idle heartbeat for Birdseye (periodic frame emission when idle)
birdseye: add optional idle heartbeat and FFmpeg tuning envs (default off)
This adds an optional configuration field `birdseye.idle_heartbeat_fps` to
enable a lightweight idle heartbeat mechanism in Birdseye. When set to a value
greater than 0, Birdseye periodically re-sends the last composed frame during
idle periods (no motion or active updates).
This helps downstream consumers such as go2rtc, Alexa, or Scrypted to attach
faster and maintain a low-latency RTSP stream when the system is idle.
Key details:
- Config-based (`birdseye.idle_heartbeat_fps`), default `0` (disabled).
- Uses existing Birdseye rendering pipeline; minimal performance impact.
- Does not alter behavior when unset.
Documentation: added tip section in docs/configuration/restream.md.
* Update docs/docs/configuration/restream.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/reference.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Refactors Birdseye idle frame broadcasting
Simplifies the idle frame broadcasting logic by removing the dedicated thread.
The idle frame is now resent directly within the main loop,
improving efficiency and reducing complexity. Also, limits the idle
heartbeat FPS to a maximum of 10 since the framebuffer is limited to 10 anyway
* ruff fix
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Francesco Durighetto <francesco.durighetto@subbyx.com>
Co-authored-by: duri <duri@homelabubuntu.durihome.unifi>
* save clean webp instead of png
* send clean webp to plus with fallback for old events
* manual event webp
* event cleanup
* api def
* convert png to webp if exists
* update reference config
* change quality
* Migrate camera APIs to separate tag
* Implement reolink detection to handle dynamic URL assignment
* Cleanup codec handling
* Use average framerate not relative framerate
* Add reolink rtsp warning
* Don't return exception
* Use avg_frame_rate in final info
* Clenaup
* Validate host
* Fix overlap
* fetch more from ffprobe
* add detailed param to ffprobe endpoint
* add dots variant to step indicator
* add classname
* tweak colors for dark mode to match figma
* add step 1 form
* add helper function for ffmpeg snapshot
* add go2rtc stream add and ffprobe snapshot endpoints
* add camera image and stream details on successful test
* step 1 tweaks
* step 2 and i18n
* types
* step 1 and 2 tweaks
* add wizard to camera settings view
* add data unit i18n keys
* restream tweak
* fix type
* implement rough idea for step 3
* add api endpoint to delete stream from go2rtc
* add main wizard dialog component
* extract logic for friendly_name and use in wizard
* add i18n and popover for brand url
* add camera name to top
* consolidate validation logic
* prevent dialog from closing when clicking outside
* center camera name on mobile
* add help/docs link popovers
* keep spaces in friendly name
* add stream details to overlay like stats in liveplayer
* add validation results pane to step 3
* ensure test is invalidated if stream is changed
* only display validation results and enable save button if all streams have been tested
* tweaks
* normalize camera name to lower case and improve hash generation
* move wizard to subfolder
* tweaks
* match look of camera edit form to wizard
* move wizard and edit form to its own component
* move enabled/disabled switch to management section
* clean up
* fixes
* fix mobile
* new body param
* use new body param in endpoint
* explicitly use new param in frontend endpoint
* use reviewsegment as type instead of list of strings
* add toggle function to mark as unreviewed when all selected are reviewed
* i18n
* fix tests
* Map verified objects to their sub label directly
* Simplify access
* Cleanup
* Add protection for mismatched object and index
* Keep track of verified objects separately
* camera level config
* set up model runner on thread start to avoid unpickling error
* ensure feature is enabled globally
* suppress info logs from faster_whisper
* fix incorrect event_type for api and audio timeline entries
* docs
* fix
* clean up
* Update classification API docs
* Add information to events api
* Fix tag
* Add exports
* Add generic response to model for classification apis
* Add preview API information
* Cleanup
* Cleanup
* Refactor face card into generic classification card
* Update classification data card to use classification card
* Refactor state training grid to use classification card
* Refactor grouped face card into generic component
* Combine classification objects by event
* Fixup
* Cleanup
* Cleanup
* Do not fail if a single event is not found
* Save original frame
* Cleanup
* Undo
* Improve prompt to have better discernment and logic based on detected objects
* Be more specific about the time of day
* Add re-inforcers for LLM to be accurate and not complete a narrative
* refactor get_video_properties and use json output from ffprobe
* add zmq topic
* publish valid segment data in recording maintainer
* check for valid video data
- restart separate record ffmpeg process if no video data has been received in 120s
- refactor datetime import
* listen to correct topic in embeddings maintainer
* refactor to move get_latest_segment_datetime logic to recordings maintainer
* debug logging
* 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>
* Implement stationary car classifier to base stationary state on visual changes and not just bounding box stability
* Cleanup
* Fix mypy
* Move to new file and add config to disable if needed
* Cleanup
* Undo
This supports systemd credentials, see https://systemd.io/CREDENTIALS/.
Default to `/run/secrets` (the Docker Secrets dir) for backwards
compatibility.
* pull count of detection events by label into prometheus metrics
* format changes with ruff
* remove unneeded f-string
* fix imports format
---------
Co-authored-by: iesad <iesad>
* continue to use paddleocr v3 text detection model for large
v5 was not finding text on multi-line plates at all in testing
* implement clustering of plate variants per event
should reduce OCR inconsistencies and improve plate recognition stability by using string similarity to cluster similar variants (10 per event id) and choosing the highest confidence representative as the final plate
* pass camera
* prune number of variants based on detect fps
* implement replacement rules for cleaning up and normalizing plates
* docs
* docs
* 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
* update config for roles and add validator
* ensure admin and viewer are never overridden
* add class method to user to retrieve all allowed cameras
* enforce config roles in auth api endpoints
* add camera access api dependency functions
* protect review endpoints
* protect preview endpoints
* rename param name for better fastapi injection matching
* remove unneeded
* protect export endpoints
* protect event endpoints
* protect media endpoints
* update auth hook for allowed cameras
* update default app view
* ensure anonymous user always returns all cameras
* limit cameras in explore
* cameras is already a list
* limit cameras in review/history
* limit cameras in live view
* limit cameras in camera groups
* only show face library and classification in sidebar for admin
* remove check in delete reviews
since admin role is required, no need to check camera access. fixes failing test
* pass request with camera access for tests
* more async
* camera access tests
* fix proxy auth tests
* allowed cameras for review tests
* combine event tests and refactor for camera access
* fix post validation for roles
* don't limit roles in create user dialog
* fix triggers endpoints
no need to run require camera access dep since the required role is admin
* fix type
* create and edit role dialogs
* delete role dialog
* fix role change dialog
* update settings view for roles
* i18n changes
* minor spacing tweaks
* docs
* use badges and camera name label component
* clarify docs
* display all cameras badge for admin and viewer
* i18n fix
* use validator to prevent reserved and empty roles from being assigned
* split users and roles into separate tabs in settings
* tweak docs
* clarify docs
* change icon
* don't memoize roles
always recalculate on component render
* Use asyncio lock when checking camera status
get_camera_status() can be called during normal autotracking movement and from routine camera_maintenance(). Some cameras cause one of the status calls to hang, which then subsequently hangs autotracking. A lock serializes access and prevents the hang.
* use while loop in camera_maintenance for status check
some cameras seem to take a little bit to update their status, don't assume the first call shows the motor has stopped
* Refactor active objects to class
* Keep segment going when detection is newer than end of alert
* Cleanup logic
* Fix
* Cleanup ending
* Adjust timing
* Improve detection saving
* Don't have padding at end for in progress reviews
* Add review config for cutoff times
* 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>
* refactor: Refactor camera nickname
* fix: fix cameraNameLabel visually
* chore: The Explore search function also displays the Camera's nickname in English
* chore: add mobile page camera nickname
* feat: webpush support camera nickname
* fix: fix storage camera name is null
* chore: fix review detail and context menu camera nickname
* chore: fix use-stats and notification setting camera nickname
* fix: fix stats camera if not nickname need capitalize
* fix: fix debug page open camera web ui i18n and camera nickname support
* fix: fix camera metrics not use nickname
* refactor: refactor use-camera-nickname hook.
* add regex support to events api for recognized_license_plate
* frontend
add ability to use regexes in the plate search box and add select all/clear all links to quickly select all filtered plates
