colour_checker_detection.detection.WarpingData#

class colour_checker_detection.detection.WarpingData(cluster_id: int = -1, cost: float = inf, transformation: ndarray | None = None)[source]#

Data class for storing the results of the correspondence finding.

Parameters:

  • cluster_id (int) – The index of the cluster that was used for the correspondence.

  • cost (float) – The cost of the transformation, which means the average distance of the warped point from the reference template point.

  • transformation (numpy.ndarray | None) – The transformation matrix to warp the cluster to the template.

__init__(cluster_id: int = -1, cost: float = inf, transformation: ndarray | None = None) → None#
Parameters:
Return type:

None

Methods

__init__([cluster_id, cost, transformation])

Attributes

cluster_id

cost

transformation