Binned GLCM 5 Features implemented in CuPy
Project description
Binned GLCM Features on CuPy
Directly utilize CUDA to speed up the processing of GLCM in Python.
📖 Documentation
Contributors
- Julio Faracco
- Special Thanks for implementing CuPy input support!
Acknowledgements
I extend my gratitude to the following people
| Acknowledgement | Contribution |
|---|---|
| Benjamin Goh | Motivated the project after his implementation in Numba |
| Dr. Ji-Jon Sit | Hosted & Guided the URECA project that started this |
| Wang Jifei | For providing the idea for GLCM Binning |
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
glcm_cupy-0.2.1.tar.gz
(12.8 kB
view hashes)
Built Distribution
glcm_cupy-0.2.1-py3-none-any.whl
(18.4 kB
view hashes)
Close
Hashes for glcm_cupy-0.2.1-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e6ed9f1de0284d2ba23dbe4589b13170fa5fc8876e7946bb163954765ec55464 |
|
| MD5 | 23741de4f16bb59da9001ecce1620d22 |
|
| BLAKE2b-256 | d1a2bcc0a000ebc7e3cdd7377008ebb8b05a1dfd90d6551bb78fb25c70709453 |
