Input image with nonzero values representing edges.
Radii at which to compute the Hough transform.
Normalize the accumulator with the number of pixels used to draw the radius.
Extend the output size by twice the largest radius in order to detect centers outside the input picture.
Hough transform accumulator for each radius. R designates the larger radius if full_output is True. Otherwise, R = 0.
Perform a circular Hough transform.
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
