Pencil Art

pencil_art is a Python package that converts images into pencil sketches using OpenCV. It provides a simple way to create a pencil sketch effect from a given image by applying image processing techniques such as grayscale conversion, Gaussian blurring, and inversion.

Installation

To install the pencil_art package, use the following pip command:

pip install pencil_art

Usage

Basic Example

from pencil_art import pencil_art

# Specify the input image path and output path for the pencil sketch
input_image = 'path_to_your_image.jpg'
output_image = 'output_sketch.jpg'

# Convert the image to a pencil sketch
pencil_art(input_image, output_image)

Function: pencil_art

pencil_art(input_image_path, output_image_path)

Parameters:

• input_image_path (str): The path to the input image file that you want to convert to a pencil sketch.
• output_image_path (str): The path where the resulting pencil sketch will be saved.

Returns:

• This function does not return any value. The pencil sketch image will be saved to the specified output path.

Example:

input_image = 'sample_image.jpg'
output_image = 'sketched_output.jpg'
pencil_art(input_image, output_image)

This will read the image located at input_image, convert it to a pencil sketch, and save it as output_image.

How It Works

The pencil_art function performs the following steps to generate the pencil sketch effect:

1. Grayscale Conversion: The input image is converted to grayscale to reduce color complexity.
2. Gaussian Blurring: A Gaussian blur is applied to the grayscale image to smooth out details.
3. Inversion: The blurred image is inverted.
4. Sketch Creation: The pencil sketch effect is achieved by dividing the original grayscale image by the inverted blurred image.

Dependencies

The pencil_art package requires the opencv-python library. It is automatically installed when you install pencil_art.

• opencv-python version 4.5.0 or later

Contributing

If you'd like to contribute to the development of the pencil_art package, feel free to fork the repository, make changes, and submit a pull request. We welcome improvements, bug fixes, and new features.

License

This package is licensed under the MIT License.