https://github.com/clesperanto/clic
GPU-accelerated Image Processing library for C++
Science Score: 49.0%
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Low similarity (11.9%) to scientific vocabulary
Keywords
Repository
GPU-accelerated Image Processing library for C++
Basic Info
- Host: GitHub
- Owner: clEsperanto
- License: bsd-3-clause
- Language: C++
- Default Branch: master
- Homepage: https://clesperanto-doc.readthedocs.io
- Size: 5.24 MB
Statistics
- Stars: 16
- Watchers: 6
- Forks: 15
- Open Issues: 9
- Releases: 46
Topics
Metadata Files
README.md
CLIc
CLIc is a prototype backend library for CLesperanto - a multi-language framework for GPU-accelerated image processing. It uses the OpenCL kernels originally developped for CLIJ. It currently focussed on running with OpenCL.
The library is used for various user-oriented API libraries: - :snake: pyclesperanto - :coffee: clesperantoj - Fiji plugin - clij3
Usage example
```c++
include "clesperanto.h" // CLIc include
int main( int argc, char** argv) { // Initialisation of clEsperanto with default device cle::BackendManager::getInstance().setBackend(); auto device = cle::BackendManager::getInstance().getBackend().getDevice("", "all");
// host vector to hold input and output
std::vector<float> input (width * height * depth);
std::vector<float> output (input.size());
/*
* ... fill input with data to process
*/
// push data from host to device
auto gpu_src = cle::Push<float>(input.data(), width, height, depth, device);
// apply filter with parameters
auto gpu_dst = cle::tier1::AddImageAndScalar(device, gpu_src, nullptr, 10);
// pull output from device to host
cle::Pull<float>(gpu_dst, output.data());
return EXIT_SUCCESS;
} ``` See more complete example on usage by looking at the kernels tests.
Documentation
A detail documentation is available at https://clesperanto.github.io/CLIc. If any information is missing or is incorrect, do not hesitate to raise an issue.
Contributing
Contributions are very welcome. Before spending effort on coding and filing a pull-request, please get in touch with us, file an issue, and let's discuss your potential contribution. More information on how to add new kernels to the library can be found in the documentation.
Feedback welcome!
clEsperanto is developed in the open because we believe in the open source community. Feel free to drop feedback as github issue or via image.sc. And if you liked our work, star the repository, share it with your friends, and use it to make cool stuff!
Acknowledgements
We acknowledge support by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy (EXC2068) Cluster of Excellence Physics of Life of TU Dresden. This project has been made possible in part by grant number 2021-237734 (GPU-accelerating Fiji and friends using distributed CLIJ, NEUBIAS-style, EOSS4) from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.
Owner
- Name: clEsperanto
- Login: clEsperanto
- Kind: organization
- Website: clEsperanto.net
- Repositories: 16
- Profile: https://github.com/clEsperanto
GPU-accelerated image processing across languages and platforms
GitHub Events
Total
- Create event: 68
- Release event: 19
- Issues event: 26
- Delete event: 51
- Issue comment event: 87
- Push event: 248
- Pull request review event: 5
- Pull request review comment event: 4
- Pull request event: 126
Last Year
- Create event: 68
- Release event: 19
- Issues event: 26
- Delete event: 51
- Issue comment event: 87
- Push event: 248
- Pull request review event: 5
- Pull request review comment event: 4
- Pull request event: 126
Issues and Pull Requests
Last synced: 5 months ago
All Time
- Total issues: 48
- Total pull requests: 162
- Average time to close issues: 26 days
- Average time to close pull requests: 5 days
- Total issue authors: 6
- Total pull request authors: 6
- Average comments per issue: 1.92
- Average comments per pull request: 0.88
- Merged pull requests: 124
- Bot issues: 2
- Bot pull requests: 59
Past Year
- Issues: 21
- Pull requests: 84
- Average time to close issues: 9 days
- Average time to close pull requests: 3 days
- Issue authors: 5
- Pull request authors: 5
- Average comments per issue: 2.57
- Average comments per pull request: 0.58
- Merged pull requests: 57
- Bot issues: 2
- Bot pull requests: 39
Top Authors
Issue Authors
- haesleinhuepf (22)
- StRigaud (21)
- thawn (2)
- kevinyamauchi (1)
- dependabot[bot] (1)
- pre-commit-ci[bot] (1)
Pull Request Authors
- StRigaud (91)
- dependabot[bot] (45)
- pre-commit-ci[bot] (14)
- haesleinhuepf (9)
- thawn (2)
- tpietzsch (1)
Top Labels
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Dependencies
- Jimver/cuda-toolkit v0.2.10 composite
- actions/checkout v4 composite
- actions/setup-python v4.6.1 composite
- lukka/get-cmake v3.26.4 composite
- actions/checkout v4 composite
- codecov/codecov-action v3 composite
- actions/checkout v4 composite
- actions/configure-pages v5 composite
- actions/deploy-pages v4 composite
- actions/setup-python v5.1.0 composite
- actions/upload-pages-artifact v3 composite
- lukka/get-cmake v3.29.0 composite