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https://github.com/blakeblackshear/frigate.git
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Full UI configuration (#22151)
* 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
This commit is contained in:
Josh Hawkins
@@ -45,30 +45,55 @@ class ModelTypeEnum(str, Enum):
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class ModelConfig(BaseModel):
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path: Optional[str] = Field(None, title="Custom Object detection model path.")
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path: Optional[str] = Field(
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None,
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title="Custom Object detection model path",
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description="Path to a custom detection model file (or plus://<model_id> for Frigate+ models).",
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)
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labelmap_path: Optional[str] = Field(
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None, title="Label map for custom object detector."
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None,
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title="Label map for custom object detector",
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description="Path to a labelmap file that maps numeric classes to string labels for the detector.",
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)
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width: int = Field(
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default=320,
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title="Object detection model input width",
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description="Width of the model input tensor in pixels.",
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)
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height: int = Field(
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default=320,
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title="Object detection model input height",
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description="Height of the model input tensor in pixels.",
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)
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width: int = Field(default=320, title="Object detection model input width.")
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height: int = Field(default=320, title="Object detection model input height.")
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labelmap: Dict[int, str] = Field(
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default_factory=dict, title="Labelmap customization."
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default_factory=dict,
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title="Labelmap customization",
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description="Overrides or remapping entries to merge into the standard labelmap.",
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)
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attributes_map: Dict[str, list[str]] = Field(
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default=DEFAULT_ATTRIBUTE_LABEL_MAP,
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title="Map of object labels to their attribute labels.",
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title="Map of object labels to their attribute labels",
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description="Mapping from object labels to attribute labels used to attach metadata (for example 'car' -> ['license_plate']).",
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)
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input_tensor: InputTensorEnum = Field(
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default=InputTensorEnum.nhwc, title="Model Input Tensor Shape"
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default=InputTensorEnum.nhwc,
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title="Model Input Tensor Shape",
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description="Tensor format expected by the model: 'nhwc' or 'nchw'.",
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)
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input_pixel_format: PixelFormatEnum = Field(
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default=PixelFormatEnum.rgb, title="Model Input Pixel Color Format"
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default=PixelFormatEnum.rgb,
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title="Model Input Pixel Color Format",
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description="Pixel colorspace expected by the model: 'rgb', 'bgr', or 'yuv'.",
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)
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input_dtype: InputDTypeEnum = Field(
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default=InputDTypeEnum.int, title="Model Input D Type"
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default=InputDTypeEnum.int,
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title="Model Input D Type",
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description="Data type of the model input tensor (for example 'float32').",
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)
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model_type: ModelTypeEnum = Field(
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default=ModelTypeEnum.ssd, title="Object Detection Model Type"
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default=ModelTypeEnum.ssd,
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title="Object Detection Model Type",
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description="Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization.",
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)
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_merged_labelmap: Optional[Dict[int, str]] = PrivateAttr()
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_colormap: Dict[int, Tuple[int, int, int]] = PrivateAttr()
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@@ -210,12 +235,20 @@ class ModelConfig(BaseModel):
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class BaseDetectorConfig(BaseModel):
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# the type field must be defined in all subclasses
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type: str = Field(default="cpu", title="Detector Type")
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type: str = Field(
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default="cpu",
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title="Detector Type",
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description="Type of detector to use for object detection (for example 'cpu', 'edgetpu', 'openvino').",
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)
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model: Optional[ModelConfig] = Field(
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default=None, title="Detector specific model configuration."
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default=None,
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title="Detector specific model configuration",
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description="Detector-specific model configuration options (path, input size, etc.).",
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)
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model_path: Optional[str] = Field(
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default=None, title="Detector specific model path."
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default=None,
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title="Detector specific model path",
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description="File path to the detector model binary if required by the chosen detector.",
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)
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model_config = ConfigDict(
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extra="allow", arbitrary_types_allowed=True, protected_namespaces=()
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