import numpy as np
import cv2
import math
import matplotlib.pyplot as plt

img = np.load("file.npz")
print(img.files)
# rows,cols,ch = img.shape
#
# pts1 = np.float32([[50,50],[200,50],[50,200]])
# pts2 = np.float32([[10,100],[200,50],[100,250]])
#
# M = cv2.getAffineTransform(pts1,pts2)
#
# dst = cv2.warpAffine(img,M,(cols,rows))

plt.subplot(121),plt.imshow(img),plt.title('Input')
plt.subplot(122),plt.imshow(dst),plt.title('Output')
plt.show()