pip install opencv-python-headless numpy

 """

Ghibli Style Image Converter

This script loads an image "img.png" from the current folder,

applies a cartoon/animation-inspired filter to mimic a Ghibli aesthetic,

and then saves and displays the result as "ghibli_img.png".

Requirements:

  - OpenCV (cv2)

  - NumPy

"""

import cv2

import numpy as np

def apply_ghibli_filter(image):

    # Step 1: Smooth the image with a bilateral filter repeatedly.

    # This reduces small color variations while keeping edges sharp.

    filtered = image.copy()

    for _ in range(7):  # Adjust iterations for stronger smoothing if desired.

        filtered = cv2.bilateralFilter(filtered, d=9, sigmaColor=75, sigmaSpace=75)

    

    # Step 2: Edge detection.

    # Convert to grayscale and apply a median blur.

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

    gray_blur = cv2.medianBlur(gray, 7)

    

    # Use adaptive thresholding to extract clean edges.

    edges = cv2.adaptiveThreshold(

        gray_blur,

        255,

        cv2.ADAPTIVE_THRESH_MEAN_C,

        cv2.THRESH_BINARY,

        blockSize=9,

        C=2

    )

    

    # Convert edges back to BGR so you can combine it with the color image.

    edges_colored = cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)

    

    # Combine the smoothed image with the edge mask.

    cartoon = cv2.bitwise_and(filtered, edges_colored)

    

    # Step 3: Enhance color to achieve warm, whimsical tones.

    # Convert from BGR to HSV to manipulate saturation and brightness.

    hsv = cv2.cvtColor(cartoon, cv2.COLOR_BGR2HSV)

    h, s, v = cv2.split(hsv)

    

    # Increase saturation and brightness slightly.

    s = cv2.add(s, 20)

    v = cv2.add(v, 10)

    final_hsv = cv2.merge((h, s, v))

    

    # Convert back to BGR color space.

    final_img = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)

    

    return final_img

def main():

    # Load the image.

    image = cv2.imread("img.png")

    if image is None:

        print("Error: Unable to load image 'img.png'. Please ensure the file is in this folder.")

        return

    

    # Apply the Ghibli-style filter.

    result = apply_ghibli_filter(image)

    

    # Save the resulting image.

    cv2.imwrite("ghibli_img.png", result)

    

    # Display the resulting image.

    cv2.imshow("Ghibli Style Image", result)

    cv2.waitKey(0)

    cv2.destroyAllWindows()

if __name__ == "__main__":

    main()