* Run ONNX models on a Mac's Neural Engine through lighter's plugin provider
lighter's lighter.sh/ane device places an ONNX Runtime plugin execution
provider in the container. When it is present, the ONNX session setup
registers it once and opens sessions on its Neural Engine device, the same
place CUDA, ROCm and OpenVINO are chosen, so the onnx detector (and any
model that is not pinned to the CPU) runs there with no configuration. The
hardware probe reports it as an onnx unit.
* docs: hardware decode on an Apple Silicon Mac under lighter
A community section on the video decoding page: lighter's lighter.sh/video
device, hwaccel_args -c:v h264_v4l2m2m, and why the Raspberry Pi presets
decode a single-stream camera in software. The detector docs link to it.
* docs: set the lighter decoder per camera when codecs are mixed
* docs: the ONNX detector on a Mac's Neural Engine under lighter
* Format the Neural Engine provider setup
* Fall back to the default providers when the Neural Engine cannot load a model
* Apple Silicon ffmpeg presets for lighter's media engine, recommended when it is present
2026-09-24 15:37:32 -06:00
A. AhmetGitHubgreptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* feat(deepx): add DEEPX NPU detector and runtime integration.
* feat(deepx): enforce model_format requirement when ppu is enabled and add integrity checks for driver installation
* Update frigate/detectors/plugins/deepx.py
Public method lacks docstring
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* Refactor DEEPX detector tests, support SSD and DAMO-YOLO
* feat(deepx): add anchor-free output decoding and corresponding tests
* Add tests and updates for DEEPX detector and refactor DEEPX accelerator code structure.
* fix: enhance model type validation and update documentation for DEEPX detector
* fix: add support for customizable score and NMS thresholds
* refactor: infer YOLO layout from the model, drop per-detector options and the dxrtd placeholder
* fix: keep only the anchor-free PPU verdict, re-read anchor-based each frame
* Update latency data for DEEPX NPU
* Expanding PPU support for DEEPX and set yolo-generic as default.
* enhance scale count resolution logic
* Extend PPU layout handling and YOLOX support to DEEPX detector
* fix: assume the largest PPU anchor table when the .dxnn has no layout
* Improve PPU decoding and introduce strides handling
* Improve PPU scope and fix box format mismatch
* Fix unnamed node issue that breaks traversal
* fix: update object detection model type description to remove outdated architecture
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* add a notice registry and System Health tab
Problems Frigate detects on its own (ffmpeg crash loops, stuck detectors, failed model downloads, recordings deleted before their retention period) only ever existed as log lines. This adds a `NoticeRegistry` in the main process backed by two tables, an `update_notice` IPC topic so producers in other processes can reach it through the dispatcher, an admin-only API and websocket topic, and a Health tab that lists them. Kinds declare their own mode, severity, and category in one place: state notices are resolved by their producer, event notices are dismissed by the user.
* treat a prerelease as behind its final release
* fix notices clearing early
* rename menu items and update docs
* don't resolve the update notice on a failed version lookup
* add host npu requirements to docs
* allow toggling live audio transcription via mqtt
* improve spacing consistency on mobile drawers
* fix clearing the region grid not surviving a restart
* sort preview cameras in history by ui order
* sort cameras by UI order in various components for consistent display
* add no recordings faq
* fix link
* recording cache faq
* add link
* improve anchor naming in object detector docs
rather than #configuration-1, #configuration-2, etc
* use yaml instead of json for object detector docs
* fix anchor
* add embedded mode to BaseSection so parents can host the save action
* add optional action slot to current Frigate+ model summary
* add w-full to action slot flex wrapper for explicit width contract
* i18n
* merged detectors and model settings view
* fix document title
* Embed detector form in merged settings view
* add detection model card with tabs and custom model embed
* add Frigate+ model selector with filter popover to merged page
* Add mismatch banner and gate save on detector and model compatibility
* Wire atomic save, restart toast, and undo on detectors and model page
* Clear child pending data on undo
* route merged detectors and model view in settings
* trim Frigate+ page to account-only and remove old detection model view
* basic e2e
* Fix unsaved-changes guard, custom path leak, and post-failure cache resync
* Rename to Detectors and model, float Modified badge, use ConfigMessageBanner for mismatch
* Hide Plus/Custom tabs when Frigate+ is not enabled
* Detect active Plus model via model.plus.id instead of path prefix
* Sync state back to snapshot when child form un-modifies and remount on undo
* Always require restart on save since model changes also need one
* Wrap Frigate+ model selector in SplitCardRow with label and description
* rename tab
* update docs
* sync top-level model with default detector's resolved model
when the user doesn't define a top-level `model:` block, `FrigateConfig.model` stayed at pydantic field defaults (320×320, /labelmap.txt) while the per-detector model picked up `DEFAULT_MODEL` for openvino on cpu (300×300, coco_91cl_bkgr.txt introduced in #23127), causing `RemoteObjectDetector` to fail with "buffer is too small for requested array" because the SHM was sized from the per-detector model but mapped using the top-level one. After the detector loop, copy the first detector's resolved model up to `self.model` so both sides agree on dimensions and labelmap
* revert to cpu detector by default
use openvino cpu for new configs only
* add defaults
* hide camera overrides badge from system sections
* show empty card on camera metrics page when no cameras are defined
* fix enabled camera state switch after adding via wizard
Cameras added mid-session have no WS state until the dispatcher publishes camera_activity (which only happens on a fresh onConnect). Fall back to the config's enabled value so the switch reflects reality immediately after the wizard closes.
* guard camera enabled access
console would throw errors after adding via camera wizard
* fix useOptimisticState dropping debounced setState under StrictMode
* use openvino on cpu as default model
- faster than tflite on cpu
- add to default generated config
* use an enum for model_size
the frontend will then render this as a select dropdown because of the changes in the json schema
* i18n
* sync object filter entries with tracked labels in camera config form
Filter sub-collapsibles in the camera Objects section are driven by `filters` dict keys, but profile merges and live track-switch edits don't add matching entries, so newly tracked labels (like from a profile override) had no collapsible. Synthesize default filter entries from `track` in the form data so every tracked label renders a collapsible; baseline data also gets the synthesized entries, so save payloads are unchanged.
* revalidate raw paths cache after config save so CameraPathWidget shows fresh credentials
* fix test
* restore masked ffmpeg credentials when persisting camera config
* formatting
* rebuild ffmpeg commands when enabling recording for the first time
Toggling record.enabled from the config UI updated the in-memory config but left ffmpeg running with its original command, so the record output args were never wired in and nothing landed in the cache for the maintainer to move. The record config update now rebuilds ffmpeg_cmds when enabled_in_config transitions, and the camera watchdog restarts ffmpeg on a false to true transition so the record output gets wired in. MQTT toggles, which only flip record.enabled at runtime, are unaffected and continue to work via the maintainer's drop/keep gate.
* keep record toggle switch in single camera view disabled until enabled in config
* fix override detection for sections unset in the global config
Override badges and the blue dot now compare against schema defaults for sections like motion that the API serializes as null when omitted from the global YAML, instead of treating any populated camera config as an override
* add support for config-aware patterns in section hiddenFields
Section configs can now declare dynamic hidden-field entries as functions of the loaded config; objects.ts uses this to hide auto-populated attribute filters (DHL, face, license_plate, etc.) from the form, save flow, and override popover when those labels aren't user-settable
* siimplify object filters handling
live updating was getting very messy. users will just need to save once they enable a new object in order to see filters for that object
* tweaks
* update docs for new detector default
* make genai provider required and add special case for UI
prevent validation errors from appearing on initial creation of genai provider by setting the first option in the select dropdown as default
* Update to ROCm 7.2.3
* Add inference time for 9060XT
* Update times
* Update hardware info for latest ROCm
* Add env vars to save kernels and miopen database
* re-enable face recognition for ROCm
* Update
* Save LLVM cache
* set edgetpu for multi-instance
* improve error messages when mixing/matching detectors
* allow custom add button text via uiSchema
* clarify language in docs for configuring detectors via the UI
* add generation script
a script to read yaml code blocks from docs markdown files and generate corresponding "Frigate UI" tab instructions based on the json schema, i18n, section configs (hidden fields), and nav mappings
* first pass
* components
* add to gitignore
* second pass
* fix broken anchors
* fixes
* clean up tabs
* version bump
* tweaks
* remove role mapping config from ui
* fix config examples
* remove reference to trt model generation script
* tweak tmpfs comment
* update old version
* tweak tmpfs comment
* clean up and clarify tensorrt
* re-add size
* Update docs/docs/configuration/hardware_acceleration_enrichments.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Docs: fix missing dependency in YOLOv9 build script
I had this command fail because it didn't have cmake available.
This change fixes that problem.
* Docs: avoid failure in YOLOv9 build script
Pinning to 0.4.36 avoids this error:
```
10.58 Downloading onnx
12.87 Building onnxsim==0.5.0
1029.4 × Failed to download and build `onnxsim==0.5.0`
1029.4 ╰─▶ Package metadata version `0.4.36` does not match given version `0.5.0`
1029.4 help: `onnxsim` (v0.5.0) was included because `onnx-simplifier` (v0.5.0)
1029.4 depends on `onnxsim`
```
* Update Dockerfile instructions for object detectors
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* disable modal on dropdown menu in explore
* add another example case for when classification overrides a sub label
* update ollama docs link
* Improve handling of automatic playback for recordings
* Improve ollama documentation
* Don't fall out when all recording segments exist
* clarify coral docs
* improve initial scroll to active item in detail stream
* i18n fixes
* remove console warning
* detail stream scrolling fixes for HA/iOS
* Improve usability of GenAI summary dialog and make clicking on the description directly open it
* Review card too
* Use empty card with dynamic text for review based on the user's config
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* 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>
* 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>
Blake Blackshear