A package for applying Gaussian filter to images
Project description
gaussFilter
gaussFilter is a Python package that provides a function for applying a Gaussian filter to images using OpenCV.
Installation
You can install gaussFilter using pip:
pip install gaussFilter
Usage
import cv2
from gaussFilter import apply_gaussian_filter
# Load an image
image = cv2.imread('path/to/your/image.jpg')
# Apply the Gaussian filter with desired sigma and kernel size
filtered_image = apply_gaussian_filter(image, sigma=1.5, kernel_size=5)
# Display the original and filtered images
cv2.imshow('Original Image', image)
cv2.imshow('Filtered Image', filtered_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
##Contributing
Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository.
License
This package is distributed under the MIT License. See the LICENSE file for more information.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gaussFilter-1.0.1.tar.gz.
File metadata
- Download URL: gaussFilter-1.0.1.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc99a5558c8e2640f1ecb962ec3fb459ef4c43228b5e2433b570cd15a174de9d
|
|
| MD5 |
cac724940105f3248184a4c89c285982
|
|
| BLAKE2b-256 |
525dea41dd6eaf5eb172a807563baccd3e6ab4c46f6a488bf041c2ee9357162b
|
File details
Details for the file gaussFilter-1.0.1-py3-none-any.whl.
File metadata
- Download URL: gaussFilter-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6af3621f2792eba036470bc754d59dbc5fb2a71e9a8497103407088570c0f106
|
|
| MD5 |
4c38fcfd7dbf89ab6eff00f96adb01bb
|
|
| BLAKE2b-256 |
e288b26ead5461c5cb3f5c00362ef8ae2d5138db73f40eba91e3cc284237c7a5
|