VisuMorph
VisuMorph is a powerful, user-friendly Python package designed for image manipulation. It simplifies image processing tasks, allowing users to effortlessly apply transformations and adjustments to their images. With its intuitive interface and a wide range of functionalities, VisuMorph is ideal for both hobbyists and professionals looking to enhance their digital imagery.
Documentation
The full documentation including installation guides, example usages, and
API references is hosted on ReadTheDocs and can be found here:
https://visumorph.readthedocs.io/en/latest/
Contributors
In alphabetical order:
- Atabak Alishiri (@atabak-alishiri)
- Orix Au Yeung (@SoloSynth1)
- Marco Bravo (@Marcony1)
- Shawn Hu (@shawnhu444)
Installation
For Regular Users
Currently, the package is published on PyPI. If you're looking to use VisuMorph without diving into the development, you can easily install it using pip:
pip install visumorph
For Developers
For those interested in contributing or exploring the development version, please follow these steps:
-
Clone the repository:
git clone https://github.com/UBC-MDS/VisuMorph.git
-
Navigate to the cloned directory and install the package in editable mode along with the development dependencies:
pip install -e .
Features
VisuMorph includes a variety of functions for image manipulation:
- Flipping(
flip
): Horizontally or vertically flip images, useful for creating mirror effects or correcting orientation. - Rotating(
rotate
): Rotate images by a specified degree, supporting both clockwise and anticlockwise rotations. - Hue Change(
change_hue
): Adjust the hue of images, allowing for color shifting and mood setting in visuals. - Scaling(
scale
): Resize images, either uniformly or non-uniformly, without losing the essence of the visual content.
Quick Start Examples
For a quick glimpse into what VisuMorph can do, here are a few simple examples:
Flip an Image
Flip an image horizontally or vertically. This example flips an image horizontally.
import visumorph as vm
img = vm.load_image("path/to/image.jpg")
flipped_img = vm.flip(img, v=0)
flipped_img.save("path/to/flipped_image.jpg")
Rotate an Image
Rotate an image by a specified angle in degrees. This example rotates an image by 90 degrees.
import visumorph as vm
img = vm.load_image("path/to/image.jpg")
rotated_img = vm.rotate(img, rotation=90)
rotated_img.save("path/to/rotated_image.jpg")
Change Image Hue
Change the hue of an image. This example changes the hue by a delta value.
import visumorph as vm
img = vm.load_image("path/to/image.jpg")
hue_changed_img = vm.change_hue(img, delta_hue=0.3)
hue_changed_img.save("path/to/hue_changed_image.jpg")
Scale an Image
Scale an image by a specified factor. This example enlarges the image by 20%.
import visumorph as vm
img = vm.load_image("path/to/image.jpg")
scaled_img = vm.scale(img, scale=1.2)
scaled_img.save("path/to/scaled_image.jpg")
Make sure to replace "path/to/image.jpg"
and the save paths with the actual paths to your image files and desired output locations.
Running Tests
To ensure VisuMorph works as expected, we've included a suite of tests. You can run these tests using pytest to verify the installation and functionality:
pytest --cov=visumorph
If a coverage report is desired, you can run the above command with an extra arugment:
pytest --cov=visumorph --cov-report=xml
Position in the Python Ecosystem
VisuMorph, while a robust tool for image manipulation, is designed primarily as an educational project for the 524 course in the Master of Data Science program. It serves as an introductory tool for those beginning their journey in data science and image processing. While it offers a range of functionalities, it is more limited in scope compared to professional-grade packages like PIL (Python Imaging Library) and OpenCV. These larger libraries offer a wider range of complex functionalities and are suited for industrial applications. However, VisuMorph stands out for its simplicity and ease of use, making it an excellent starting point for students and hobbyists looking to understand the basics of image manipulation in Python.
For reference to more advanced libraries, you can visit:
- PIL (Python Imaging Library): PIL
- OpenCV: OpenCV
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
visumorph
was created by Orix Au Yeung, Marco Bravo, Atabak Alishiri, Shawn Hu. It is licensed under the terms of the MIT license.
Credits
visumorph
was created with cookiecutter
and the py-pkgs-cookiecutter
template.