opencv

import cv2
import numpy as np
import math


img = cv2.imread("/content/gdrive/My Drive/cr7.jpg")
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

rows, cols = img.shape
#####################
# Vertical wave
img_output = np.zeros(img.shape, dtype=img.dtype)
for i in range(rows):
    for j in range(cols):
        offset_x = int(25.0 * math.sin(2 * 3.14 * i / 180))
        offset_y = 0
        if j+offset_x < rows:
            img_output[i,j] = img[i,(j+offset_x)%cols]
        else:
            img_output[i,j] = 0
cv2_imshow(img)
cv2_imshow(img_output)
#####################
# Horizontal wave
img_output = np.zeros(img.shape, dtype=img.dtype)
for i in range(rows):
    for j in range(cols):
        offset_x = 0
        offset_y = int(16.0 * math.sin(2 * 3.14 * j / 150))
        if i+offset_y < rows:
            img_output[i,j] = img[(i+offset_y)%rows,j]
        else:
            img_output[i,j] = 0
cv2_imshow(img_output)
#####################
# Both horizontal and vertical
img_output = np.zeros(img.shape, dtype=img.dtype)
for i in range(rows):
    for j in range(cols):
        offset_x = int(20.0 * math.sin(2 * 3.14 * i / 150))
        offset_y = int(20.0 * math.cos(2 * 3.14 * j / 150))
        if i+offset_y < rows and j+offset_x < cols:
            img_output[i,j] = img[(i+offset_y)%rows,(j+offset_x)%cols]
        else:
            img_output[i,j] = 0
cv2_imshow(img_output)
#####################
# Concave effect
img_output = np.zeros(img.shape, dtype=img.dtype)
for i in range(rows):
    for j in range(cols):
        offset_x = int(128.0 * math.sin(2 * 3.14 * i / (2*cols)))
        offset_y = 0
        if j+offset_x < cols:
            img_output[i,j] = img[i,(j+offset_x)%cols]
        else:
            img_output[i,j] = 0
cv2_imshow(img_output)