swirl(image, center=None, strength=1, radius=100, rotation=0, output_shape=None, order=None, mode='reflect', cval=0, clip=True, preserve_range=False)
Shape of the output image generated. By default the shape of the input image is preserved.
The order of the spline interpolation, default is 0 if image.dtype is bool and 1 otherwise. The order has to be in the range 0-5. See skimage.transform.warp
for detail.
Points outside the boundaries of the input are filled according to the given mode, with 'constant' used as the default. Modes match the behaviour of numpy.pad
.
Used in conjunction with mode 'constant', the value outside the image boundaries.
Whether to clip the output to the range of values of the input image. This is enabled by default, since higher order interpolation may produce values outside the given input range.
Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of img_as_float
. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html
Input image.
Center coordinate of transformation.
The amount of swirling applied.
The extent of the swirl in pixels. The effect dies out rapidly beyond :None:None:`radius`.
Additional rotation applied to the image.
Swirled version of the input.
Perform a swirl transformation.
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them