Kind contours
¶
List of numpy arrays where each array represents contour points
Data representation¶
Data representation
This kind has a different internal and external representation. External representation is relevant for integration with your workflow, whereas internal one is an implementation detail useful for Workflows blocks development.
External¶
External data representation is relevant for Workflows clients - it dictates what is the input and output format of data.
Type: List[list]
Internal¶
Internal data representation is relevant for Workflows blocks creators - this is the type that will be provided by Execution Engine in runtime to the block that consumes input of this kind.
Type: List[np.ndarray]
Details¶
This kind represents a value of a list of numpy arrays where each array represents contour points.
Example:
[
np.array([[10, 10],
[20, 20],
[30, 30]], dtype=np.int32),
np.array([[50, 50],
[60, 60],
[70, 70]], dtype=np.int32)
]