_vi_tables(im_true, im_test, table=None, ignore_labels=())

Parameters

im_true, im_test : ndarray of int

Input label images, any dimensionality.

table : csr matrix, optional

Pre-computed contingency table.

ignore_labels : sequence of int, optional

Labels to ignore when computing scores.

Returns

hxgy, hygx : ndarray of float

Per-segment conditional entropies of im_true given im_test and vice-versa.

Compute probability tables used for calculating VI.

Examples

See :

Local connectivity graph

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

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File: /skimage/metrics/_variation_of_information.py#74
type: <class 'function'>
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