imgcv

Image Processing Library from scratch using Python.

NOTE: This library is just a fun project to learn about image processing and computer vision algorithms from scratch and to enhance my understanding of the concepts.

Detailed Examples of functions and their usage can be found in the Example Usage

Installation

$ pip install imgcv

Usage

from PIL import Image
from imgcv.transformation.negative import negative_transform

# Load image
img = Image.open('path/to/image.jpg')

# Convert image to numpy array
img = np.array(img)

# Apply logarithmic transformation
img = negative_transform(img)

# Convert numpy array to image
img = Image.fromarray(img)

# show image
img.show()

Documentation

The official documentation is hosted on Read the Docs: imgcv Documentation

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

imgcv was created by Preet Sojitra. It is licensed under the terms of the MIT license.

Credits

imgcv was created with cookiecutter and the py-pkgs-cookiecutter template.