{"id":23951333,"url":"https://github.com/psteinb/libmultiviewnative","last_synced_at":"2025-04-12T23:41:57.965Z","repository":{"id":15931604,"uuid":"18673648","full_name":"psteinb/libmultiviewnative","owner":"psteinb","description":"Native Implementation (CPU \u0026 GPU) of the Iterative Bayesian Deconvolution Algorithm in the Fiji Multi-View Deconvolution Plugin by Stephan Preibisch","archived":false,"fork":false,"pushed_at":"2016-02-17T10:40:56.000Z","size":486,"stargazers_count":8,"open_issues_count":1,"forks_count":3,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-04-12T23:41:51.418Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/psteinb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2014-04-11T12:36:10.000Z","updated_at":"2020-09-21T20:31:05.000Z","dependencies_parsed_at":"2022-09-22T07:22:45.523Z","dependency_job_id":null,"html_url":"https://github.com/psteinb/libmultiviewnative","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Flibmultiviewnative","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Flibmultiviewnative/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Flibmultiviewnative/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2Flibmultiviewnative/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/psteinb","download_url":"https://codeload.github.com/psteinb/libmultiviewnative/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248647257,"owners_count":21139081,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-06T12:59:31.844Z","updated_at":"2025-04-12T23:41:57.934Z","avatar_url":"https://github.com/psteinb.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GPU based Multi-View Deconvolution using cuFFT\n\nThis package aims at providing an easy-to-use API for calling GPU deconvolution routines from the Fiji/SPIM_Registration plugin ( https://github.com/fiji/spimreconstruction ). It is written in C++ and offers a C API of plain methods and C structs to call from any client binary or library. The implementation is based on \u003chttp://arxiv.org/abs/1308.0730\u003e.\n\n# Building the Library\n\n## Operating Systems\n\nWe currently support the following operating systems:\n\n* OSX 10.8 or higher (experimental)\n* Fedora Linux 19 or higher\n* CentOS Linux 6.3 or higher\n\n## Dependencies\n\n* CUDA 5 or later (the nvcc compiler, libcudart and libcufft) must be available.\n* cmake versions later than 2.8 ( FindCUDA.cmake sources are needed )\n* boost 1.42 or later\n* fftw 3.1 or later\n\n## Install:\nTo compile the shared library libMultiViewNative.so, invoke\n```bash\n$ mkdir build\n$ cd build\n```\n\nIf a specific installation destination is to be used\n```bash\n$ cmake -DCMAKE_INSTALL_PREFIX=/path/to/lib ..\n$ make\n$ make install\n```\n\nor else (will install library in system default library paths, administrator rights required)\n```bash\n$ cmake .. \n$ make\n$ make install\n```\n\n\n# Using the Library\n\n*Note: The GPU is unstable and not yet production ready. The CPU API can be used!*\n\n## Fiji related\n\nIn order to call the GPU methods from Java, simply create a directory called lib/linux64 under the fiji root directory. Create a symlink to libMultiViewNative.so (compiled for your architecture) here.\n\n## License\n\nsee LICENSE\n\n## Contact\n\nFor questions, bug reports, improvement suggestions or else, use the github issue tracker of this repo.\n\n## Known Issues\n\nOn OS X, CUDA is (at the time of writing) INCOMPATIBLE with the installed llvm based compilers used by default (e.g. /usr/bin/c++). To resolve this, the installation procedure uses an llvm based gcc version for compiling and testing.\n\n## Disclaimer\n\nThe library at hand is an evolving project. It is designed as the native implementation of http://fiji.sc/Multi-View_Deconvolution (cf. \u003chttp://arxiv.org/abs/1308.0730\u003e). The ultimate goal is to implement the performance sensitive parts of the Multi-View_Deconvolution in this library which can provide significant speed-ups: \u003chttp://on-demand.gputechconf.com/gtc/2015/video/S5208.html\u003e (recording of the talk), \u003chttps://idisk.mpi-cbg.de/~steinbac/gtc2015\u003e (slides)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Flibmultiviewnative","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpsteinb%2Flibmultiviewnative","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Flibmultiviewnative/lists"}