Image Clustering using K-Means Algorithm
This package provides an easy-to-use function for clustering pixels in an image using the K-Means algorithm. It requires the OpenCV, Numpy, and Scikit-learn libraries.
Installation
You can install this package using pip:
pip install img_clust
Usage
from img_clust import image_clustering
# Load and cluster the image with 5 clusters
segmented_image = image_clustering('path/to/image.jpg', 5)
# Display the segmented image
cv2.imshow('Segmented Image', segmented_image)
cv2.waitKey()
The image_clustering function takes two arguments: the path to the image file and the desired number of clusters.
License
MIT.
1 maintainer
Release files for img-clust 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| img_clust-1.0.0.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| img_clust-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 kB
Release files / img_clust-1.0.0.tar.gz
| Download URL | img_clust-1.0.0.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
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Release files / img_clust-1.0.0-py3-none-any.whl
| Download URL | img_clust-1.0.0-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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