Transform your ordinary images into captivating cartoons using Python and OpenCV.

We'll go through the following steps to achieve this:

1. Importing the required modules: We'll import necessary libraries for image processing, file selection, and more.

2. Building a File Box to Choose a Particular File: We'll create a graphical interface to select an image file.

3. Transforming the Image to Grayscale: The first step in creating a cartoon effect is to convert the image to grayscale.

4. Smoothening the Grayscale Image: We'll apply a median blur to smoothen the grayscale image.

5. Retrieving the Edges of the Image: We'll use adaptive thresholding to retrieve the edges of the image.

6. Preparing a Mask Image: We'll apply a bilateral filter to remove noise and keep the edges sharp.

7. Giving the Cartoon Effect: We'll combine the smoothed color image with the edges to create the cartoon effect.

8. Plotting All the Transitions Together: We'll display all the transformation steps together for a clear visual understanding.

9. Saving the Cartoonified Image: We'll provide an option to save the cartoonified image.

1. Run the Python script.
2. Click the "Cartoonify an Image" button to choose an image from your device.
3. Observe the step-by-step transformation of the image into a cartoon.
4. Once the transformation is complete, click the "Save cartoon image" button to save the cartoonified image.

• Python 3.x
• OpenCV
• NumPy
• Imageio
• Matplotlib
• tkinter (for the graphical interface)
• PIL (Python Imaging Library)