radioviz.models.transform_model

Transform model definitions for RadioViz application.

This module defines data structures for representing geometric transformations including affine and homography transforms with their associated parameters.

Classes

`Transform`(type, params)	Data class representing a geometric transformation.
`TransformType`(*values)	Enumeration of supported transform types.

class radioviz.models.transform_model.Transform(type: TransformType, params: dict[str, Any])[source]

Bases: object

Data class representing a geometric transformation.

This class encapsulates the type and parameters of a geometric transformation, allowing for immutable storage and easy comparison of transformation configurations.

params: dict[str, Any]

Dictionary containing transformation parameters.

Type:: dict[str, Any]

type: TransformType

The type of transformation to apply.

Type:: TransformType

class radioviz.models.transform_model.TransformType(*values)[source]

Bases: StrEnum

Enumeration of supported transform types.

This enum defines the different types of geometric transformations that can be applied to images or coordinates in radio visualization applications.

static _generate_next_value_(name, start, count, last_values): Return the lower-cased version of the member name.

AFFINE = 'Affine': Affine transformation type.

HOMOGRAPHY = 'Homography': Homography transformation type.