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https://github.com/mgautam98/chitrapy
Mini Image Processing Library in Python with JIT Compiler for Fast computation.
https://github.com/mgautam98/chitrapy
hacktoberfest image-processing numba numpy python3
Last synced: 4 months ago
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Mini Image Processing Library in Python with JIT Compiler for Fast computation.
- Host: GitHub
- URL: https://github.com/mgautam98/chitrapy
- Owner: mgautam98
- License: gpl-3.0
- Created: 2018-10-18T15:53:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-01-14T04:42:52.000Z (about 4 years ago)
- Last Synced: 2024-10-09T13:13:31.578Z (4 months ago)
- Topics: hacktoberfest, image-processing, numba, numpy, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 8.35 MB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# [NOT Supported Anymore]ChitraPy [](https://pypi.org/project/ChitraPy) [](https://travis-ci.com/mgautam98/ChitraPy) [](https://codecov.io/gh/mgautam98/ChitraPy) [](https://chitrapy.readthedocs.io/en/latest/?badge=latest) [](https://pepy.tech/project/chitrapy)
ChitraPy is a digital Image Processing Library in Python.# Installation
Install ChitraPy with:
```
pip install ChitraPy
```
Find the latest version on PyPi
https://pypi.org/project/ChitraPy### Install Dev version
```
git clone https://github.com/mgautam98/ChitraPy.git
cd ChitraPy
python3 setup.py install
```
## Documentation
https://chitrapy.readthedocs.io/en/latest/## Usage
```
from ChitraPy import filters, helpers
import matplotlib.pyplot as plt# Load a sample Image
!wget https://i.imgur.com/D24n5DL.png
img = plt.imread('./D24n5DL.png')
plt.imshow(img)# invert an image
invert = filters.invert(img)
plt.imshow(invert)
```## Features
* Crop
* Grayscale
* Negative
* Sepia
* Hue
* Salt and Pepper
* Stretch
* Warp
* Rotate
* Invert
* Gaussian blur
* Quick Blur
* Contrast Enhancement (Histogram Equalization)
* Local Contrast Enhancement
* Add Watermark
* Sobel Edge detection
* Halftoning
* Dither
* resize
* sharpen
* Emboss
* Identity
* Outline
* Monochrome
* Zoom
* Contrast adjustment (Histogram sliding)## References
* https://en.wikipedia.org/wiki/Digital_image_processing
* http://setosa.io/ev/image-kernels/
* http://www.tannerhelland.com/3643/grayscale-image-algorithm-vb6/
* https://www.cs.princeton.edu/courses/archive/fall00/cs426/lectures/dither/dither.pdf
* https://hypjudy.github.io/2017/03/19/dip-histogram-equalization/