s6.schema.pipeline_config¶
Compatibility exports for Sense Core pipeline configuration models.
- class s6.schema.pipeline_config.BoundaryConfig(*, smoothing_window: ConstrainedIntValue = 3, max_radius_change_frac: ConstrainedFloatValue = 0.05, max_center_change_frac: ConstrainedFloatValue = 0.05, default_center: Tuple[float, float] = (640.0, 480.0), default_radius: ConstrainedFloatValue = 600.0)
Bases:
BaseModelOuter boundary detection/smoothing configuration.
- smoothing_window: int
- max_radius_change_frac: float
- max_center_change_frac: float
- default_center: Tuple[float, float]
- default_radius: float
- class s6.schema.pipeline_config.DetectionConfig(*, components_area_thresholds: Tuple[int, int] = (600, 5000), fallback_margin_frac: ConstrainedFloatValue = 0.05)
Bases:
BaseModelCoarse component detection parameters.
- components_area_thresholds: Tuple[int, int]
- fallback_margin_frac: float
- class s6.schema.pipeline_config.ExportConfig(*, preview_size: Tuple[int, int] = (320, 240), preview_format: str = '.jpg')
Bases:
BaseModelExport/telemetry configuration.
- preview_size: Tuple[int, int]
- preview_format: str
- s6.schema.pipeline_config.PipelineConfig
alias of
PipelineConfigV1
- class s6.schema.pipeline_config.PipelineConfigBase(*, pipeline_name: str = 'PipelineV1', platform: PlatformConfig = None, run_cpp: bool = False, run_level: RunLevel = RunLevel.NORMAL, calibration_file: str = 'configs/calibration.config.json')
Bases:
BaseModelCommon pipeline configuration shared across implementations.
- default_config_candidates: ClassVar[Tuple[str, ...]] = ('configs/pipeline.config.yaml', 'configs/pipeline.config.yml')
- pipeline_name: str
- platform: PlatformConfig
- run_cpp: bool
- run_level: RunLevel
- calibration_file: str
- classmethod load_default_data() dict[str, Any]
Load raw default config data, preferring YAML when available.
- class s6.schema.pipeline_config.PipelineConfigT1(*, pipeline_name: str = 'PipelineT1', platform: PlatformConfig = None, run_cpp: bool = False, run_level: RunLevel = RunLevel.NORMAL, calibration_file: str = 'configs/calibration.config.json', tracking: TrackingConfig = None, tip: TipConfig = None, export: ExportConfig = None)
Bases:
PipelineConfigBaseRoot configuration for
s6.app.pipeline.t1.PipelineT1.- default_config_candidates: ClassVar[Tuple[str, ...]] = ('configs/pipeline_t1.config.yaml', 'configs/pipeline_t1.config.yml', 'configs/pipeline.config.t1.yaml', 'configs/pipeline.config.t1.yml', 'configs/pipeline.config.yaml', 'configs/pipeline.config.yml')
- pipeline_name: str
- platform: PlatformConfig
- tracking: TrackingConfig
- tip: TipConfig
- export: ExportConfig
- static load_default() PipelineConfigT1
- class s6.schema.pipeline_config.PipelineConfigV1(*, pipeline_name: str = 'PipelineV1', platform: PlatformConfig = None, run_cpp: bool = False, run_level: RunLevel = RunLevel.NORMAL, calibration_file: str = 'configs/calibration.config.json', tracking: TrackingConfig = None, solver: SolverConfig = None, detection: DetectionConfig = None, refine: RefineConfig = None, boundary: BoundaryConfig = None, tip: TipConfig = None, export: ExportConfig = None, demo_mode: bool = False)
Bases:
PipelineConfigBaseRoot configuration for
s6.app.pipeline.v1.PipelineV1.- tracking: TrackingConfig
- solver: SolverConfig
- detection: DetectionConfig
- refine: RefineConfig
- boundary: BoundaryConfig
- tip: TipConfig
- export: ExportConfig
- demo_mode: bool
- static load_default() PipelineConfigV1
- class s6.schema.pipeline_config.PipelineConfigV2(*, pipeline_name: str = 'PipelineV2', platform: PlatformConfig = None, run_cpp: bool = False, run_level: RunLevel = RunLevel.NORMAL, calibration_file: str = 'configs/calibration.config.json', tracking: TrackingConfig = None, solver: SolverConfig = None, detection: DetectionConfig = None, refine: RefineConfig = None, boundary: BoundaryConfig = None, tip: TipConfig = None, export: ExportConfig = None, demo_mode: bool = False)
Bases:
PipelineConfigBaseRoot configuration for
s6.app.pipeline.v2.PipelineV2.- default_config_candidates: ClassVar[Tuple[str, ...]] = ('configs/pipeline_v2.config.yaml', 'configs/pipeline_v2.config.yml', 'configs/pipeline.config.v2.yaml', 'configs/pipeline.config.v2.yml', 'configs/pipeline.config.yaml', 'configs/pipeline.config.yml')
- pipeline_name: str
- platform: PlatformConfig
- tracking: TrackingConfig
- solver: SolverConfig
- detection: DetectionConfig
- refine: RefineConfig
- boundary: BoundaryConfig
- tip: TipConfig
- export: ExportConfig
- demo_mode: bool
- static load_default() PipelineConfigV2
- class s6.schema.pipeline_config.PlatformConfig(*, prototype: str = 'V1', gstreamer: VideoCaptureConfig = None)
Bases:
BaseModelSelector for concrete platform implementations.
- prototype: str
- gstreamer: VideoCaptureConfig
- property implementation: Platform
- property camera_names: Tuple[str, ...]
- property camera_count: int
- class s6.schema.pipeline_config.RefineConfig(*, zoom_factor: ConstrainedFloatValue = 4.5, patch_size: Tuple[int, int] = (128, 128))
Bases:
BaseModelLocal refinement (patch warp) configuration.
- zoom_factor: float
- patch_size: Tuple[int, int]
- class s6.schema.pipeline_config.RunLevel(*values)
Bases:
str,EnumOrdered runtime modes for trading diagnostics against throughput.
- PERFORMANCE = 'performance'
- NORMAL = 'normal'
- DEV = 'dev'
- DEBUG = 'debug'
- class s6.schema.pipeline_config.SolverConfig(*, instrument_length: ConstrainedFloatValue = 0.135)
Bases:
BaseModelConfiguration for geometric solver behaviour.
- instrument_length: float
- class s6.schema.pipeline_config.TipConfig(*, boundary_margin_px: ConstrainedIntValue = 0, tracking_box_radius_px: ConstrainedIntValue = 80, tracking_box_next_radius_px: ConstrainedIntValue = 100, refine_area_thresholds: Tuple[int, int] = (20, 1200), suppression_radius_px: ConstrainedIntValue = 30)
Bases:
BaseModelTip detection settings for ROI and refinement.
- boundary_margin_px: int
- tracking_box_radius_px: int
- tracking_box_next_radius_px: int
- refine_area_thresholds: Tuple[int, int]
- suppression_radius_px: int
- class s6.schema.pipeline_config.TrackingConfig(*, enable_prediction: bool = True, search_radius_px: ConstrainedIntValue = 150, trajectory_maxlen: ConstrainedIntValue = 20, search_radius_m: ConstrainedFloatValue = 0.05)
Bases:
BaseModelPer-frame tracking/search configuration.
- enable_prediction: bool
- search_radius_px: int
- trajectory_maxlen: int
- search_radius_m: float
- s6.schema.pipeline_config.available_platforms() Tuple[str, ...]
Return the supported platform identifiers.
- s6.schema.pipeline_config.create_platform(prototype: str) Platform
Create a platform implementation for
prototype.