Source: dipy Maintainer: Debian Med Packaging Team Uploaders: Yaroslav Halchenko , Michael Hanke , Étienne Mollier Section: python Testsuite: autopkgtest-pkg-pybuild Priority: optional Build-Depends: debhelper-compat (= 13), dh-sequence-python3, pybuild-plugin-pyproject, pkgconf, libgomp1, cython3, python3-all-dev:native, libpython3-all-dev, python3-setuptools, python3-mesonpy, python3-numpy, python3-scipy, python3-h5py , python3-matplotlib , python3-nibabel , python3-pil.imagetk , python3-pytest , python3-pandas [!mips64el] , python3-tables [!s390x] , python3-tk , python3-trx-python , python3-sklearn , python3-tqdm , xvfb , xauth Build-Depends-Indep: python3-sphinx , python3-numpydoc , python3-skimage , python3-sphinx-design , python3-sphinxcontrib.bibtex , python3-doc Standards-Version: 4.7.0 Vcs-Browser: https://salsa.debian.org/med-team/dipy Vcs-Git: https://salsa.debian.org/med-team/dipy.git Homepage: https://dipy.org Rules-Requires-Root: no Package: python3-dipy Architecture: all Depends: ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends}, python3-numpy, python3-scipy, python3-h5py, python3-dipy-lib (>= ${source:Version}), python3-tqdm, python3-packaging Recommends: python3-matplotlib, python3-vtk9, python3-nibabel, python3-tables, python3-sklearn, python3-pandas Suggests: python3-boto3, python-dipy-doc Provides: ${python3:Provides} Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images . This package contains the Python 3 version. Package: python3-dipy-lib Architecture: any Multi-Arch: same Depends: ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends} Provides: ${python3:Provides} Description: Python library for the analysis of diffusion MRI datasets -- Python3 extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions for Python3. Package: python-dipy-doc Architecture: all Multi-Arch: foreign Section: doc Depends: ${misc:Depends}, libjs-jquery, libjs-mathjax, libjs-sphinxdoc, node-mathjax-full Suggests: python3-dipy, python3-doc Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format.