probabilistic_hough_line(image, threshold=10, line_length=50, line_gap=10, theta=None, seed=None)
Input image with nonzero values representing edges.
Threshold
Minimum accepted length of detected lines. Increase the parameter to extract longer lines.
Maximum gap between pixels to still form a line. Increase the parameter to merge broken lines more aggressively.
Angles at which to compute the transform, in radians. If None, use a range from -pi/2 to pi/2.
Seed to initialize the random number generator.
List of lines identified, lines in format ((x0, y0), (x1, y1)), indicating line start and end.
Return lines from a progressive probabilistic line 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