%matplotlib inline import cv2 import numpy as np import matplotlib.pyplot as plt image = cv2.imread('003/eye.png') center = (376, 184) iris_radius = 115 drawing = np.copy(image) cv2.circle(drawing, center, 3, (0, 255, 0), -1) cv2.circle(drawing, center, iris_radius, (0, 255, 0), 1) plt.figure(figsize=(10, 5)) plt.imshow(drawing, cmap='gray') nsamples = 360 samples = np.linspace(0, 2 * np.pi, nsamples)[:-1] polar = np.zeros((iris_radius, nsamples)) for r in range(iris_radius): for theta in samples: x = r * np.cos(theta) + center[0] y = r * np.sin(theta) + center[1] polar[r][theta * nsamples / 2.0 / np.pi] = image[y][x][0] plt.figure(figsize=(10, 5)) plt.imshow(polar, cmap='gray')