Exercise6.py

##### Exercise 6 Create Voronoi diagram from UCF_CC annotations 
#####            
##### 24/04/2018
##### Nithikan Srinakrung - Bam
##### DFL, FTSM, UKM




import cv2
import numpy as np
import scipy.io as sio


im = cv2.imread("D:\\Coop\\UCF_CC_50\\50.jpg")
im_Black = np.zeros_like(im)

im_Black[10,10,2] = 255

data = sio.loadmat("D:\\Coop\\UCF_CC_50\\50_ann.mat")
annPoints = data["annPoints"]

for ann in annPoints:
    x = ann[0]
    y = ann[1]
    im_Black[y, x, 2] = 255
    print(x, y)

points = np.array(annPoints)
from scipy.spatial import Voronoi, voronoi_plot_2d
vor = Voronoi(points)

import matplotlib.pyplot as plt
voronoi_plot_2d(vor)
plt.show()


cv2.imshow("hey",im_Black)
cv2.waitKey(0)