How to create a water effect in Python OpenCV

In this article, you’ll see how to create a water effect in Python using OpenCV. I highly recommend you get the “Computer Vision: Models, Learning, and Inference Book” to learn Computer Vision. To create a water effect just follow these steps:

Step 1: Install OpenCV

If OpenCV is not installed, then first install it using this code.

pip install opencv-python

pip install opencv-python

Step 2: Import the required Libraries

Import the OpenCV and NumPy libraries.

import cv2
import numpy as np

import cv2

import numpy as np

Step 3: Read the Image

Now read the image from the location. ‘animal.jpg‘ is the name of the image.

img = cv2.imread("C:\\AiHints\\animal.jpg")

img = cv2.imread("C:\\AiHints\\animal.jpg")

Step 4: Flip the Image

In this step, flip the image vertically.

flip_img = cv2.flip(img, 0)

flip_img = cv2.flip(img, 0)

Step 5: Create a water effect in Python

Now, simply create a water effect using the concatenation of the above two images vertically.

water_effect = np.concatenate((img, flip_img), axis=0)

water_effect = np.concatenate((img, flip_img), axis=0)

Step 6: Display the water effect

Now display the original, flipped, and water effect images.

cv2.imshow("Original Image", img)
cv2.imshow("Flipped Image", flip_img)
cv2.imshow("Water Effect", water_effect)

cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imshow("Original Image", img)

cv2.imshow("Flipped Image", flip_img)

cv2.imshow("Water Effect", water_effect)

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cv2.waitKey(0)

cv2.destroyAllWindows()

Output: