Cartoonized Images using Python

 

import cv2

import numpy as np

def cartoonize_image(img_path, save_path):

    img = cv2.imread(img_path)

    if img is None:

        raise ValueError("Could not read the image")

    

    data = np.float32(img).reshape((-1, 3))

    _, labels, centers = cv2.kmeans(data, 8, None,

        (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 20, 0.001),

        10, cv2.KMEANS_RANDOM_CENTERS)

    quantized = np.uint8(centers)[labels.flatten()].reshape(img.shape)

    

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    edges = cv2.adaptiveThreshold(cv2.medianBlur(gray, 7), 255,

        cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 2)

    

    cartoon = cv2.bitwise_and(quantized, quantized, mask=edges)

    cv2.imwrite(save_path, cartoon)

    return cartoon

if __name__ == "__main__":

    try:

        cartoonize_image("coldplay.jpg", "cartoon_output.jpg")

        print("Image cartoonized successfully!")

    except Exception as e:

        print(f"Error: {e}")