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https://github.com/blakeblackshear/frigate.git
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* 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
90 lines
3.5 KiB
Python
90 lines
3.5 KiB
Python
from typing import Optional
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from pydantic import Field
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from ..base import FrigateBaseModel
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__all__ = ["DetectConfig", "StationaryConfig", "StationaryMaxFramesConfig"]
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class StationaryMaxFramesConfig(FrigateBaseModel):
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default: Optional[int] = Field(
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default=None,
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title="Default max frames",
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description="Default maximum frames to track a stationary object before stopping.",
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ge=1,
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)
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objects: dict[str, int] = Field(
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default_factory=dict,
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title="Object max frames",
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description="Per-object overrides for maximum frames to track stationary objects.",
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)
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class StationaryConfig(FrigateBaseModel):
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interval: Optional[int] = Field(
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default=None,
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title="Stationary interval",
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description="How often (in frames) to run a detection check to confirm a stationary object.",
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gt=0,
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)
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threshold: Optional[int] = Field(
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default=None,
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title="Stationary threshold",
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description="Number of frames with no position change required to mark an object as stationary.",
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ge=1,
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)
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max_frames: StationaryMaxFramesConfig = Field(
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default_factory=StationaryMaxFramesConfig,
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title="Max frames",
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description="Limits how long stationary objects are tracked before being discarded.",
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)
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classifier: bool = Field(
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default=True,
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title="Enable visual classifier",
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description="Use a visual classifier to detect truly stationary objects even when bounding boxes jitter.",
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)
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class DetectConfig(FrigateBaseModel):
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enabled: bool = Field(
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default=False,
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title="Detection enabled",
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description="Enable or disable object detection for all cameras; can be overridden per-camera. Detection must be enabled for object tracking to run.",
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)
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height: Optional[int] = Field(
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default=None,
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title="Detect height",
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description="Height (pixels) of frames used for the detect stream; leave empty to use the native stream resolution.",
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)
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width: Optional[int] = Field(
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default=None,
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title="Detect width",
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description="Width (pixels) of frames used for the detect stream; leave empty to use the native stream resolution.",
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)
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fps: int = Field(
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default=5,
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title="Detect FPS",
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description="Desired frames per second to run detection on; lower values reduce CPU usage (recommended value is 5, only set higher - at most 10 - if tracking extremely fast moving objects).",
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)
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min_initialized: Optional[int] = Field(
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default=None,
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title="Minimum initialization frames",
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description="Number of consecutive detection hits required before creating a tracked object. Increase to reduce false initializations. Default value is fps divided by 2.",
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)
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max_disappeared: Optional[int] = Field(
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default=None,
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title="Maximum disappeared frames",
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description="Number of frames without a detection before a tracked object is considered gone.",
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)
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stationary: StationaryConfig = Field(
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default_factory=StationaryConfig,
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title="Stationary objects config",
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description="Settings to detect and manage objects that remain stationary for a period of time.",
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)
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annotation_offset: int = Field(
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default=0,
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title="Annotation offset",
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description="Milliseconds to shift detect annotations to better align timeline bounding boxes with recordings; can be positive or negative.",
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)
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