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 |
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
glcm_cupy-0.2.1.tar.gz
(12.8 kB
view details)
Built Distribution
glcm_cupy-0.2.1-py3-none-any.whl
(18.4 kB
view details)
File details
Details for the file glcm_cupy-0.2.1.tar.gz
.
File metadata
- Download URL: glcm_cupy-0.2.1.tar.gz
- Upload date:
- Size: 12.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.5 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c82cf5089bb51cb13c786b1ad19daa898a04e133ef252de508ca89c4f2731958 |
|
MD5 | 303131af46708a961e4879910ad4b22a |
|
BLAKE2b-256 | 959e8e83b568c265e625b43ba05d224fe03baa41c34cb469006cc00480c9ed04 |
File details
Details for the file glcm_cupy-0.2.1-py3-none-any.whl
.
File metadata
- Download URL: glcm_cupy-0.2.1-py3-none-any.whl
- Upload date:
- Size: 18.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.5 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6ed9f1de0284d2ba23dbe4589b13170fa5fc8876e7946bb163954765ec55464 |
|
MD5 | 23741de4f16bb59da9001ecce1620d22 |
|
BLAKE2b-256 | d1a2bcc0a000ebc7e3cdd7377008ebb8b05a1dfd90d6551bb78fb25c70709453 |