A Python library to generate 2D-kernels for convolutions, mathematical morphology and more
Project description
A Python library to generate 2D-kernels for convolutions, mathematical morphology and more
Features
The features of this project :
- Included famous convolution kernels : Sobel, Prewitt, Finite differences, Laplacian, Gaussian, ...
- Included shaped kernels : circle, triangle, diamond, ...
- Allow easily to pad or stride your generated kernels.
- Contributing : Feel free to ask an implementation of a given kernel or doing it directly.
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
KernelsPython-1.0.5.tar.gz
(36.1 kB
view hashes)
Built Distribution
Close
Hashes for KernelsPython-1.0.5-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 51974ba32e11440bd2fe190ddc334d9d813596512385ed74d71ed3ce1c6c6b21 |
|
| MD5 | 94dcd0291a0bcaeca198db83f747efb4 |
|
| BLAKE2b-256 | bf1cebc5c2073d2929b9eaefbea8555a72143b0c862935b997047789b3a9261b |
