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from scipy.stats import qmc
import numpy as np
import matplotlib.pyplot as plt
import cv2
from math import floor

"""
Generates voronoi diagram for points sampled with halton sequence
"""

img = cv2.imread('poo.png')
plt_img = plt.imread('poo.png')

l_bounds = [0,0]
u_bounds = [512,512]

sampler = qmc.Halton(d=2, scramble=False)
sample = sampler.random(n=500)

sample = qmc.scale(sample, l_bounds, u_bounds)

from scipy.spatial import Voronoi, voronoi_plot_2d
vor = Voronoi(sample)

fig = voronoi_plot_2d(vor)

plt.show()