https://github.com/amueller/damascene-python-and-matlab-bindings
Python and matlab bindings for the Damascene CUDA implementation of gPB
https://github.com/amueller/damascene-python-and-matlab-bindings
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
2 of 4 committers (50.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.5%) to scientific vocabulary
Last synced: 11 months ago
·
JSON representation
Repository
Python and matlab bindings for the Damascene CUDA implementation of gPB
Statistics
- Stars: 14
- Watchers: 3
- Forks: 12
- Open Issues: 6
- Releases: 0
Created about 15 years ago
· Last pushed over 7 years ago
Metadata Files
Readme
README
Damascene, version 0.1.4 This software is a reexamination of the gPb image contour detector, using Nvidia Graphics Processors. The software builds under Linux, with CUDA version 2.3, with gcc 4.3. Damascene depends on an external LAPACK library for part of the generalized eigensolver used in Normalized Cuts. We have had the most success using AMD's ACML LAPACK, which is freely available from http://www.amd.com/acml Please modify the common.mk file so that ACMLDIR points to the root directory where you installed ACML, or modify the common.mk file to link against another lapack. The defaults in the common.mk file assume you are compiling for an Nvidia processor with compute capability >= 1.2 (ie, GTX280, etc.) To compile for processors with compute capability 1.1 (ie, 9800GTX, etc.), please change the SMVERSIONFLAGS variable in common.mk to -arch sm_11. You will also need to modify the CUDA_SDK_PATH and CUDA_INSTALL_PATH variables to point to your CUDA installation. Please direct any questions or comments to Bryan Catanzaro, catanzar@cs.berkeley.edu -------- Changelog 0.1.4: Fixed bug in k-means, pointed out by Andreas Mueller (amueller@ais.uni-bonn.de) 0.1.3: Updated to enable compilation under CUDA 2.3
Owner
- Name: Andreas Mueller
- Login: amueller
- Kind: user
- Location: Los Gatos
- Company: Microsoft
- Website: http://amueller.github.io
- Twitter: amuellerml
- Repositories: 194
- Profile: https://github.com/amueller
Scikit-learn core-developer, Principal Research SDE @microsoft
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: almost 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Andy | a****r@a****e | 29 |
| Geoff McIver | g****f@p****m | 9 |
| Ivan Ivashnyov | i****v@p****u | 1 |
| trsaunders | t****s@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 7
- Total pull requests: 3
- Average time to close issues: about 6 hours
- Average time to close pull requests: 14 days
- Total issue authors: 7
- Total pull request authors: 3
- Average comments per issue: 4.29
- Average comments per pull request: 2.67
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dkunsberg (1)
- p0wdrdotcom (1)
- ivashnyov (1)
- warmspringwinds (1)
- AaronReidCI (1)
- research2010 (1)
- trsaunders (1)
Pull Request Authors
- p0wdrdotcom (1)
- ivashnyov (1)
- trsaunders (1)