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* face recognition dynamic config * lpr dynamic config * safe changes for birdseye dynamic config * bird classification dynamic config * always assign new config to stats emitter to make telemetry fields dynamic * add wildcard support for camera config updates in config_set * update restart required fields for global sections * add test * fix rebase issue * collapsible settings sidebar use the preexisting control available with shadcn's sidebar (cmd/ctrl-B) to give users more space to set masks/zones on smaller screens * dynamic ffmpeg * ensure previews dir exists when ffmpeg processes restart, there's a brief window where the preview frame generation pipeline is torn down and restarted. before these changes, ffmpeg only restarted on crash/stall recovery or full Frigate restart. Now that ffmpeg restarts happen on-demand via config changes, there's a higher chance a frontend request hits the preview_mp4 or preview_gif endpoints during that brief restart window when the directory might not exist yet. The existing os.listdir() call would throw FileNotFoundError without a directory existence check. this fix just checks if the directory exists and returns 404 if not, exactly how preview_thumbnail already handles the same scenario a few lines below * global ffmpeg section * clean up * tweak * fix test
338 lines
12 KiB
Python
338 lines
12 KiB
Python
import os
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from enum import Enum
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from typing import Optional
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from pydantic import Field, PrivateAttr, model_validator
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from frigate.const import CACHE_DIR, CACHE_SEGMENT_FORMAT, REGEX_CAMERA_NAME
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from frigate.ffmpeg_presets import (
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parse_preset_hardware_acceleration_decode,
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parse_preset_hardware_acceleration_scale,
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parse_preset_input,
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parse_preset_output_record,
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)
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from frigate.util.builtin import (
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escape_special_characters,
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generate_color_palette,
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get_ffmpeg_arg_list,
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)
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from ..base import FrigateBaseModel
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from ..classification import (
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CameraAudioTranscriptionConfig,
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CameraFaceRecognitionConfig,
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CameraLicensePlateRecognitionConfig,
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CameraSemanticSearchConfig,
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)
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from .audio import AudioConfig
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from .birdseye import BirdseyeCameraConfig
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from .detect import DetectConfig
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from .ffmpeg import CameraFfmpegConfig, CameraInput
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from .live import CameraLiveConfig
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from .motion import MotionConfig
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from .mqtt import CameraMqttConfig
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from .notification import NotificationConfig
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from .objects import ObjectConfig
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from .onvif import OnvifConfig
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from .record import RecordConfig
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from .review import ReviewConfig
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from .snapshots import SnapshotsConfig
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from .timestamp import TimestampStyleConfig
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from .ui import CameraUiConfig
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from .zone import ZoneConfig
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__all__ = ["CameraConfig"]
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class CameraTypeEnum(str, Enum):
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generic = "generic"
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lpr = "lpr"
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class CameraConfig(FrigateBaseModel):
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name: Optional[str] = Field(
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None,
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title="Camera name",
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description="Camera name is required",
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pattern=REGEX_CAMERA_NAME,
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)
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friendly_name: Optional[str] = Field(
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None,
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title="Friendly name",
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description="Camera friendly name used in the Frigate UI",
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)
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@model_validator(mode="before")
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@classmethod
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def handle_friendly_name(cls, values):
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if isinstance(values, dict) and "friendly_name" in values:
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pass
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return values
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enabled: bool = Field(default=True, title="Enabled", description="Enabled")
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# Options with global fallback
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audio: AudioConfig = Field(
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default_factory=AudioConfig,
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title="Audio events",
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description="Settings for audio-based event detection for this camera.",
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)
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audio_transcription: CameraAudioTranscriptionConfig = Field(
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default_factory=CameraAudioTranscriptionConfig,
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title="Audio transcription",
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description="Settings for live and speech audio transcription used for events and live captions.",
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)
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birdseye: BirdseyeCameraConfig = Field(
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default_factory=BirdseyeCameraConfig,
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title="Birdseye",
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description="Settings for the Birdseye composite view that composes multiple camera feeds into a single layout.",
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)
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detect: DetectConfig = Field(
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default_factory=DetectConfig,
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title="Object Detection",
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description="Settings for the detection/detect role used to run object detection and initialize trackers.",
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)
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face_recognition: CameraFaceRecognitionConfig = Field(
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default_factory=CameraFaceRecognitionConfig,
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title="Face recognition",
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description="Settings for face detection and recognition for this camera.",
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)
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ffmpeg: CameraFfmpegConfig = Field(
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title="FFmpeg",
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description="FFmpeg settings including binary path, args, hwaccel options, and per-role output args.",
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)
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live: CameraLiveConfig = Field(
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default_factory=CameraLiveConfig,
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title="Live playback",
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description="Settings used by the Web UI to control live stream selection, resolution and quality.",
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)
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lpr: CameraLicensePlateRecognitionConfig = Field(
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default_factory=CameraLicensePlateRecognitionConfig,
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title="License Plate Recognition",
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description="License plate recognition settings including detection thresholds, formatting, and known plates.",
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)
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motion: MotionConfig = Field(
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None,
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title="Motion detection",
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description="Default motion detection settings for this camera.",
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)
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objects: ObjectConfig = Field(
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default_factory=ObjectConfig,
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title="Objects",
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description="Object tracking defaults including which labels to track and per-object filters.",
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)
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record: RecordConfig = Field(
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default_factory=RecordConfig,
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title="Recording",
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description="Recording and retention settings for this camera.",
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)
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review: ReviewConfig = Field(
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default_factory=ReviewConfig,
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title="Review",
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description="Settings that control alerts, detections, and GenAI review summaries used by the UI and storage for this camera.",
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)
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semantic_search: CameraSemanticSearchConfig = Field(
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default_factory=CameraSemanticSearchConfig,
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title="Semantic Search",
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description="Settings for semantic search which builds and queries object embeddings to find similar items.",
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)
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snapshots: SnapshotsConfig = Field(
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default_factory=SnapshotsConfig,
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title="Snapshots",
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description="Settings for saved JPEG snapshots of tracked objects for this camera.",
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)
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timestamp_style: TimestampStyleConfig = Field(
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default_factory=TimestampStyleConfig,
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title="Timestamp style",
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description="Styling options for in-feed timestamps applied to recordings and snapshots.",
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)
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# Options without global fallback
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best_image_timeout: int = Field(
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default=60,
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title="Best image timeout",
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description="How long to wait for the image with the highest confidence score.",
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)
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mqtt: CameraMqttConfig = Field(
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default_factory=CameraMqttConfig,
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title="MQTT",
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description="MQTT image publishing settings.",
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)
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notifications: NotificationConfig = Field(
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default_factory=NotificationConfig,
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title="Notifications",
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description="Settings to enable and control notifications for this camera.",
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)
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onvif: OnvifConfig = Field(
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default_factory=OnvifConfig,
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title="ONVIF",
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description="ONVIF connection and PTZ autotracking settings for this camera.",
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)
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type: CameraTypeEnum = Field(
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default=CameraTypeEnum.generic,
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title="Camera type",
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description="Camera Type",
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)
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ui: CameraUiConfig = Field(
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default_factory=CameraUiConfig,
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title="Camera UI",
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description="Display ordering and visibility for this camera in the UI. Ordering affects the default dashboard. For more granular control, use camera groups.",
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)
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webui_url: Optional[str] = Field(
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None,
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title="Camera URL",
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description="URL to visit the camera directly from system page",
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)
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zones: dict[str, ZoneConfig] = Field(
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default_factory=dict,
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title="Zones",
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description="Zones allow you to define a specific area of the frame so you can determine whether or not an object is within a particular area.",
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)
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enabled_in_config: Optional[bool] = Field(
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default=None,
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title="Original camera state",
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description="Keep track of original state of camera.",
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)
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_ffmpeg_cmds: list[dict[str, list[str]]] = PrivateAttr()
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def __init__(self, **config):
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# Set zone colors
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if "zones" in config:
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colors = generate_color_palette(len(config["zones"]))
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config["zones"] = {
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name: {**z, "color": color}
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for (name, z), color in zip(config["zones"].items(), colors)
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}
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# add roles to the input if there is only one
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if len(config["ffmpeg"]["inputs"]) == 1:
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has_audio = "audio" in config["ffmpeg"]["inputs"][0].get("roles", [])
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config["ffmpeg"]["inputs"][0]["roles"] = [
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"record",
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"detect",
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]
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if has_audio:
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config["ffmpeg"]["inputs"][0]["roles"].append("audio")
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super().__init__(**config)
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@property
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def frame_shape(self) -> tuple[int, int]:
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return self.detect.height, self.detect.width
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@property
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def frame_shape_yuv(self) -> tuple[int, int]:
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return self.detect.height * 3 // 2, self.detect.width
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@property
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def ffmpeg_cmds(self) -> list[dict[str, list[str]]]:
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return self._ffmpeg_cmds
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def get_formatted_name(self) -> str:
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"""Return the friendly name if set, otherwise return a formatted version of the camera name."""
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if self.friendly_name:
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return self.friendly_name
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return self.name.replace("_", " ").title() if self.name else ""
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def create_ffmpeg_cmds(self):
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if "_ffmpeg_cmds" in self:
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return
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self._build_ffmpeg_cmds()
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def recreate_ffmpeg_cmds(self):
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"""Force regeneration of ffmpeg commands from current config."""
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self._build_ffmpeg_cmds()
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def _build_ffmpeg_cmds(self):
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"""Build ffmpeg commands from the current ffmpeg config."""
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ffmpeg_cmds = []
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for ffmpeg_input in self.ffmpeg.inputs:
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ffmpeg_cmd = self._get_ffmpeg_cmd(ffmpeg_input)
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if ffmpeg_cmd is None:
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continue
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ffmpeg_cmds.append({"roles": ffmpeg_input.roles, "cmd": ffmpeg_cmd})
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self._ffmpeg_cmds = ffmpeg_cmds
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def _get_ffmpeg_cmd(self, ffmpeg_input: CameraInput):
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ffmpeg_output_args = []
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if "detect" in ffmpeg_input.roles:
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detect_args = get_ffmpeg_arg_list(self.ffmpeg.output_args.detect)
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scale_detect_args = parse_preset_hardware_acceleration_scale(
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ffmpeg_input.hwaccel_args or self.ffmpeg.hwaccel_args,
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detect_args,
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self.detect.fps,
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self.detect.width,
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self.detect.height,
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)
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ffmpeg_output_args = scale_detect_args + ffmpeg_output_args + ["pipe:"]
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if "record" in ffmpeg_input.roles and self.record.enabled:
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record_args = get_ffmpeg_arg_list(
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parse_preset_output_record(
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self.ffmpeg.output_args.record,
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self.ffmpeg.apple_compatibility,
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)
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or self.ffmpeg.output_args.record
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)
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ffmpeg_output_args = (
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record_args
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+ [f"{os.path.join(CACHE_DIR, self.name)}@{CACHE_SEGMENT_FORMAT}.mp4"]
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+ ffmpeg_output_args
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)
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# if there aren't any outputs enabled for this input
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if len(ffmpeg_output_args) == 0:
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return None
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global_args = get_ffmpeg_arg_list(
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ffmpeg_input.global_args or self.ffmpeg.global_args
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)
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camera_arg = (
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self.ffmpeg.hwaccel_args if self.ffmpeg.hwaccel_args != "auto" else None
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)
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hwaccel_args = get_ffmpeg_arg_list(
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parse_preset_hardware_acceleration_decode(
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ffmpeg_input.hwaccel_args,
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self.detect.fps,
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self.detect.width,
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self.detect.height,
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self.ffmpeg.gpu,
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)
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or ffmpeg_input.hwaccel_args
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or parse_preset_hardware_acceleration_decode(
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camera_arg,
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self.detect.fps,
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self.detect.width,
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self.detect.height,
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self.ffmpeg.gpu,
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)
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or camera_arg
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or []
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)
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input_args = get_ffmpeg_arg_list(
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parse_preset_input(ffmpeg_input.input_args, self.detect.fps)
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or ffmpeg_input.input_args
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or parse_preset_input(self.ffmpeg.input_args, self.detect.fps)
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or self.ffmpeg.input_args
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)
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cmd = (
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[self.ffmpeg.ffmpeg_path]
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+ global_args
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+ (hwaccel_args if "detect" in ffmpeg_input.roles else [])
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+ input_args
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+ ["-i", escape_special_characters(ffmpeg_input.path)]
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+ ffmpeg_output_args
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)
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return [part for part in cmd if part != ""]
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