Transform your ordinary images into captivating cartoons using Python and OpenCV.
We'll go through the following steps to achieve this:
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Importing the required modules: We'll import necessary libraries for image processing, file selection, and more.
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Building a File Box to Choose a Particular File: We'll create a graphical interface to select an image file.
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Transforming the Image to Grayscale: The first step in creating a cartoon effect is to convert the image to grayscale.
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Smoothening the Grayscale Image: We'll apply a median blur to smoothen the grayscale image.
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Retrieving the Edges of the Image: We'll use adaptive thresholding to retrieve the edges of the image.
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Preparing a Mask Image: We'll apply a bilateral filter to remove noise and keep the edges sharp.
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Giving the Cartoon Effect: We'll combine the smoothed color image with the edges to create the cartoon effect.
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Plotting All the Transitions Together: We'll display all the transformation steps together for a clear visual understanding.
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Saving the Cartoonified Image: We'll provide an option to save the cartoonified image.
- Run the Python script.
- Click the "Cartoonify an Image" button to choose an image from your device.
- Observe the step-by-step transformation of the image into a cartoon.
- 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)