semvec/pypi-packages huggingface dataset:
KMClusterIMG 0.1
Image clustering using kmeans alg

# 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: 

```python
pip install KMClusterIMG
```

## Usage

```python
from KMClusterIMG 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.
img-scrapper 0.0.17
python package to scrap image from google image search
Requires Python: >=3.6

<div align="center">
  <img src="https://raw.githubusercontent.com/vatshgaurav/img_scrapper/dev-1/logo/img_scrapper_logo.png"><br>
</div>

# img_scrapper

A Python package to scrape and download images from Google search using
BeautifulSoup and Requests libraries.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install
img_scrapper.

```sh
#PyPi
pip install img-scrapper
```


## Usage

```python
from img_scrapper import get_original_images

images = get_original_images('Spotify', download=False)
```


* The script will display the first image it finds in the search
results. If you want to download the image, set download=True in the
get_original_images function call.

* The downloaded images will be saved in the Bs4_Img directory.

## Contributing

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License

This project is licensed under the MIT License - see the
[LICENSE.md](https://github.com/vatshgaurav/img_scrapper/blob/main/LICENSE) file for details.
ClusterIMG 0.1
Image clustering using kmeans alg

# 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: 

```python
pip install image-clustering-kmeans
```

## Usage

```python
from image_clustering_kmeans 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.