s6.app.pipeline.t1¶
- class s6.app.pipeline.t1.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.app.pipeline.t1.PipelineT1(config: str | PipelineConfigBase | None = None)
Bases:
BasePipelineTwo-camera lower stereo pipeline that triangulates directly from LL/LR tips.
- config_model
alias of
PipelineConfigT1
- static second_largest_threshold_component_mask(image: ndarray, percentile: float = 80.0) ndarray
Return the dilated second-largest threshold component as a binary mask.
- load_models() None
- load_calibrations() None
- static bgr2gray(image: ndarray) ndarray
- array_copy(context: Dict[str, Any]) None
- viewport(view: Any, visual_tree: Any) None
- point_refine_median_filter(image)
- preprocess_roi_det(context: Dict[str, Any], context_key: str) None
- inference_roi_det(context: Dict[str, Any], camera_keys: Tuple[str, ...]) None
- postprocess_roi_det(context: Dict[str, Any], context_key: str) None
- roi_det(context: Dict[str, Any]) None
- roi_solve(context)