TemplateTransform

Description

Apply blending of input image with specified templates
    Args:
        templates (numpy array or list of numpy arrays): Images as template for transform.
        img_weight: If single float weight will be sampled from (0, img_weight).
            If tuple of float img_weight will be in range `[img_weight[0], img_weight[1])`.
            If you want fixed weight, use (img_weight, img_weight)
            Default: (0.5, 0.5).
        template_weight: If single float weight will be sampled from (0, template_weight).
            If tuple of float template_weight will be in range `[template_weight[0], template_weight[1])`.
            If you want fixed weight, use (template_weight, template_weight)
            Default: (0.5, 0.5).
        template_transform: transformation object which could be applied to template,
            must produce template the same size as input image.
        name: (Optional) Name of transform, used only for deserialization.
        p: probability of applying the transform. Default: 0.5.
    Targets:
        image
    Image types:
        uint8, float32
    

Parameters

• p: float (default: 0.5)
• templates: ndarray | Sequence[ndarray] (default: null)
• img_weight: int | tuple[int, int] | float | tuple[float, float] (default: (0.5, 0.5))
• template_weight: int | tuple[int, int] | float | tuple[float, float] (default: (0.5, 0.5))
• template_transform: Callable[Ellipsis, Any] | None (default: null)
• name: str | None (default: null)

Targets

• Image

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