testl.py

import modify_rgb
import numpy as np
# gray = np.array([[254,253,252],[253,252,251],[253,252,250]])
gray = np.array([[2,2,2],[2,2,2],[2,2,2]])
raw = np.zeros((3,3,3))
# raw[:,:,0] = np.array([[1,1,1],[2,2,2],[2,2,2]])
raw[:,:,0] = np.array([[1,1,1],[0,0,0],[3,3,3]])
raw[:,:,1] = gray
raw[:,:,2] = gray
print(raw[1,1,0])
print(raw[0,0,1])
print(raw[0,0,2])
# print(raw[0,0])
# print(raw[0,1])
# print(raw[0,2])
# print(raw[1,1])
# print(raw[2,1])
# print(raw[0,1])
# print(raw[0,2])
# print(raw[0,:,:])
# print(raw[:,0,:])
# print(raw[:,:,0])
# print(raw)
# print(raw[0,0,0])
# print(raw[0,0,1])
# print(raw[0,0,2])
# print(raw[:,1,:])
# gray = np.array([[255,254,254],[255,254,254],[255,254,253]])
# noise,a,b = modify_rgb.point_classification(gray,raw,1,1,0)
# for m in a:
#     print(gray[m[0]][m[1]], end=" ")
#     print(m, end=" ")ww
# print()
# for m in b:
#     print(gray[m[0]][m[1]], end=" ")
#     print(m, end=" ")
# print()
# print(avg_a, end=" ")
# print(avg_b, end=" ")
# print(avg_a - avg_b)
# print()
# print(noise)
# print(a)
# print(b)
# print(np.array([[1,1,1],[2,2,2],[2,2,2]]))