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.CameraMappingsConfig(*, client: dict[int, str] | None = None, local: dict[int, str] | None = None)
Bases:
BaseModelBuilt-in device-id to camera-key mappings for live capture sources.
- client: dict[int, str] | None
- local: dict[int, str] | None
- class Config
Bases:
object- extra = 'forbid'
- 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
PipelineConfigT1
- class s6.schema.pipeline_config.PipelineConfigBase(*, pipeline_name: str = 'PipelineT1', 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.
- pipeline_name: str
- platform: PlatformConfig
- run_cpp: bool
- run_level: RunLevel
- calibration_file: str
- class s6.schema.pipeline_config.PipelineFrameOutput(*, export: Dict[str, Any] = None, debug: Dict[str, Any] = None)
Bases:
BaseModelSerializable pipeline output published onto a frame context.
Pipelines may read the input context supplied by context generators, but the only top-level context keys they are allowed to add or replace are
exportanddebug. Values must remain compatible withStructuredDatasetpersistence: Pydantic models, primitives, containers, and NumPy arrays.- export: Dict[str, Any]
- debug: Dict[str, Any]
- class Config
Bases:
object- arbitrary_types_allowed = True
- 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: TrackingConfigT1 = None, solver: SolverConfig = None, tip: TipConfig = None, export: ExportConfig = None)
Bases:
PipelineConfigBaseRoot configuration for
s6.app.pipeline.t1.PipelineT1.- pipeline_name: str
- platform: PlatformConfig
- tracking: TrackingConfigT1
- solver: SolverConfig
- tip: TipConfig
- export: ExportConfig
- class s6.schema.pipeline_config.PlatformConfig(*, prototype: str = 'T1', gstreamer: VideoCaptureConfig = None, camera_mappings: CameraMappingsConfig = None)
Bases:
BaseModelSelector for concrete platform implementations.
- prototype: str
- gstreamer: VideoCaptureConfig
- camera_mappings: CameraMappingsConfig
- property implementation: Platform
- property camera_names: Tuple[str, ...]
- property camera_count: int
- camera_mapping_for_source(source_name: str) dict[int, str] | None
Return the configured built-in mapping for a live capture source.
- 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, tip_mask_erase_radius: ConstrainedFloatValue | None = None, tip_line_distance_expected: ConstrainedFloatValue = 1.4, tip_line_distance_tolerance: ConstrainedFloatValue = 0.2, tip_valid_z_min_mm: float = 40.0, tip_valid_z_max_mm: float = 60.0)
Bases:
BaseModelConfiguration for geometric solver behaviour.
- class Config
Bases:
object- extra = 'forbid'
- instrument_length: float
- tip_mask_erase_radius: float | None
- tip_line_distance_expected: float
- tip_line_distance_tolerance: float
- tip_valid_z_min_mm: float
- tip_valid_z_max_mm: 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, triplet_tip_source: str = 'model')
Bases:
BaseModelTip detection settings for ROI and refinement.
- class Config
Bases:
object- extra = 'forbid'
- 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
- triplet_tip_source: str
- 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, prediction_jitter_velocity_threshold: ConstrainedFloatValue | None = 120.0, acceleration_rejection_threshold: ConstrainedFloatValue | None = None, prediction_displacement_ema_alpha: ConstrainedFloatValue = 0.4)
Bases:
BaseModelPer-frame tracking/search configuration.
- enable_prediction: bool
- search_radius_px: int
- trajectory_maxlen: int
- search_radius_m: float
- prediction_jitter_velocity_threshold: float | None
- acceleration_rejection_threshold: float | None
- prediction_displacement_ema_alpha: 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.