Image Processing Library
Project description
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.
Various implemenatations of image processing algorithms from scratch using Python has been implemented in this repository as part of Digital Image Processing course at my university.
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.
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