surface gradient

Usage

Run using mc_script surface gradient after installation or using ~ndcn0236/bin/mc_script surface gradient on jalapeno.

Import in python using from mcutils.scripts.surface import gradient

Documentation

Computes the feature similarity with the neighbouring vertices

All relevant distance metric from scipy are included (https://docs.scipy.org/doc/scipy/reference/spatial.distance.html) as well as histogram intersection (http://blog.datadive.net/histogram-intersection-for-change-detection/).

Functions

distance(graph, features[, metric])	Computes the distance between neighbouring feature sets
reduce(distance[, method])	Summarises a NxN sparse matrix of distances as a (N, ) array of distances
run(surface, arr[, distance_metric, reduction])	Computes the reduced distance between neighbouring vertices

CLI interface

add_to_parser(parser)	Creates the parser of the command line arguments
run_from_args(args)	Runs the script based on a Namespace containing the command line arguments