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z6YC5q>4x({z?i!iu9sYSM0@R)9K#BBV`iW^ck*V-sVld*m^^yA-9+%W-!nF#;Eum3 zMN-~Z3Vv=4aN4_hCL_b0&_5Z>-a^HWhLoA-N5@KfCU-%ONH1Iv69vr zD_VhF4~B;GGt->R+trd!D6#-=EdH@4$#$c+&a)FYdaUOPf*kI*V8e{koW?0`ap%>I zty!<%>Q&s+x_Lb#!#k%9zgT|M1fIHKmhN)my4Ykj!?0(ru35aIt=)#z9V=IIwmy6D zD9EU#clYCRtK|$0w^^7Jf6Pgmcr$b6v_l<-8RPgg&ebxsLQ0BBy1lK=n! literal 0 HcmV?d00001 diff --git a/1.8.0/_sources/devel/benchmarking.rst.txt b/1.8.0/_sources/devel/benchmarking.rst.txt new file mode 100644 index 00000000..71045f8c --- /dev/null +++ b/1.8.0/_sources/devel/benchmarking.rst.txt @@ -0,0 +1,3 @@ +.. _benchmarking: + +.. include:: ../../benchmarks/README.rst \ No newline at end of file diff --git a/1.8.0/_sources/devel/installation_from_source.rst.txt b/1.8.0/_sources/devel/installation_from_source.rst.txt new file mode 100644 index 00000000..ebb2e9c7 --- /dev/null +++ b/1.8.0/_sources/devel/installation_from_source.rst.txt @@ -0,0 +1,270 @@ +.. _installation-from-source: + +********************** +Installing from source +********************** + +Getting the source +================== + +More likely you will want to get the source repository to be able to follow the +latest changes. In that case, you can use:: + + git clone https://github.com/dipy/dipy.git + +For more information about this see :ref:`following-latest`. + +After you've cloned the repository, you will have a new directory, containing +the DIPY ``pyproject.toml`` file, among others. We'll call this directory - that +contains the ``pyproject.toml`` file - the *DIPY source root directory*. Sometimes +we'll also call it the ```` directory. + +Building and installing +======================= + +Install from source (all operating systems - recommended) +--------------------------------------------------------- + +Change directory into the *DIPY source root directory*. + +To clean your directory from temporary file, use:: + + git clean -fxd + +This command will delete all files not present in your github repository. + +Then, complete your installation by using this command:: + + pip install -r requirements/build.txt + pip install --no-build-isolation --user -e . + +This command will do the following : + - install the requirements for building dipy + - remove the old dipy installation if present + - build dipy + - install dipy locally on your user environment + +.. _install-source-nix: + +Install from source for Unix (e.g Linux, macOS) +----------------------------------------------- + +Change directory into the *DIPY source root directory*. + +First, install some python build packages:: + + pip install -r requirements/build.txt + +Then, to install for the system:: + + pip install dipy + +Or, to build DIPY in the source tree (locally) so you can run the code in the source tree (recommended for following the latest source) run:: + + pip install --no-build-isolation --user -e . + +add the *DIPY source root directory* into your ``PYTHONPATH`` environment variable. Search google for ``PYTHONPATH`` for details or see `python module path`_ for an introduction. + +When adding dipy_ to the ``PYTHONPATH``, we usually add the ``PYTHONPATH`` at +the end of ``~/.bashrc`` or (macOS) ``~/.bash_profile`` so we don't need to +retype it every time. This should look something like:: + + export PYTHONPATH="/home/user_dir/Devel/dipy:\$PYTHONPATH" + +After changing the ``~/.bashrc`` or (macOS) ``~/.bash_profile`` try:: + + source ~/.bashrc + +or:: + + source ~/.bash_profile + +so that you can have immediate access to DIPY_ without needing to +restart your terminal. + + +Ubuntu/Debian +------------- + +:: + + sudo apt-get install python-dev python-setuptools + sudo apt-get install python-numpy python-scipy + sudo apt-get install cython + +then:: + + sudo pip install nibabel + +(we need the latest version of this one - hence ``pip`` rather than +``apt-get``). + +You might want the optional packages too (highly recommended):: + + sudo apt-get install ipython python-h5py python-vtk python-matplotlib + + +Now follow :ref:`install-source-nix`. + +Fedora / Mandriva maybe Redhat +------------------------------ + +Same as above but use yum rather than apt-get when necessary. + +Now follow :ref:`install-source-nix`. + + +Windows +------- + +Anaconda_ is probably the easiest way to install the dependencies that you need. +To build from source, you will also need to install the exact compiler which is +used with your specific version of python. + +For getting this information, type this command in shell like ``cmd`` or Powershell_:: + + python -c "import platform;print(platform.python_compiler())" + +This command should print information of this form:: + + MSC v.1900 64 bit (AMD64) + +Now that you find the relevant compiler, you have to install the VisualStudioBuildTools_ +by respecting the following table:: + + Visual C++ 2008 (9.0) MSC_VER=1500 + Visual C++ 2010 (10.0) MSC_VER=1600 + Visual C++ 2012 (11.0) MSC_VER=1700 + Visual C++ 2013 (12.0) MSC_VER=1800 + Visual C++ 2015 (14.0) MSC_VER=1900 + Visual C++ 2017 (15.0) MSC_VER=1910 + Visual C++ 2019 (16.0) MSC_VER=1920 + Visual C++ 2022 (17.0) MSC_VER=1930 + +After the VisualStudioBuildTools_ installation, restart a command shell and +change directory into the *DIPY source root directory*. + +Start to install the build tools:: + + pip install -r requirements/build.txt + +Then to install into your system:: + + pip install dipy + +To install inplace - so that DIPY is running out of the source code directory:: + + pip install --no-build-isolation --user -e . + +(this is the mode we recommend for following the latest source code). + +If you get an error saying "unable to find vcvarsall.bat" then you need to +check your environment variable ``PATH`` or reinstall VisualStudioBuildTools_. +Setuptools should automatically detect the compiler and use it. + +macOS +----- + +Make sure you have Xcode_ and Anaconda_ installed. + +From here follow the :ref:`install-source-nix` instructions. + +OpenMP with macOS +----------------- +OpenMP_ is a standard library for efficient multithreaded applications. This +is used in DIPY for speeding up many different parts of the library (e.g., denoising +and bundle registration). If you do not have an OpenMP-enabled compiler, you can +still compile DIPY from source using the above instructions, but it might not take +advantage of the multithreaded parts of the code. To be able to compile +DIPY from source with OpenMP on macOS, you will have to do a few more things. First +of all, you will need to install the Homebrew_ package manager. Next, you will need +to install and configure the compiler. You have two options: using the GCC compiler +or the CLANG compiler. This depends on your python installation: + +Under Anaconda +~~~~~~~~~~~~~~~~ + +We recommend to install llvm via Anaconda_. Run the following:: + + conda install -c conda-forge llvm-openmp + +In case the compiler is not detected automatically, you can specify the compiler +by using the environment variable ``CC``. + +Under Homebrew Python or python.org Python +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +If you are already using the Homebrew Python, or the standard python.org Python, +you will need to use the llvm compiler with OMP. Run:: + + brew install llvm + export CC=/usr/local/bin/clang-omp + +Building and installing +~~~~~~~~~~~~~~~~~~~~~~~ +Whether you are using Anaconda_ or Hombrew/python.org Python, you will need to then +run ``pip install dipy``. When you do that, it should now +compile the code with this OpenMP-enabled compiler, and things should go faster! + +Testing +======== + +If you want to run the tests:: + + sudo pip install pytest + +Then, in the terminal from ````:: + + pytest -svv dipy + +You can also run the examples in ``/doc``. + +Documentation +============= + +To build the documentation in HTML in your computer you will need to do:: + + sudo pip install sphinx + +Then change directory to ```` and:: + + cd doc + make clean + make -C . html + +Tip +--- + +Building the entire ``DIPY`` documentation takes a few hours. You may want to +skip building the documentation for the examples, which will reduce the +documentation build time to a few minutes. You can do so by executing:: + + make -C . html-no-examples + +Troubleshooting +--------------- + +If you encounter the following error when trying to build the documentation:: + + tools/build_modref_templates.py dipy reference + *WARNING* API documentation not generated: Can not import dipy + tools/docgen_cmd.py dipy reference_cmd + *WARNING* Command line API documentation not generated: Cannot import dipy + Build API docs...done. + cd examples_built && ../../tools/make_examples.py + Traceback (most recent call last): + File "../../tools/make_examples.py", line 33, in + import dipy + ModuleNotFoundError: No module named 'dipy' + +it is probably due to a conflict between the picked ``Sphinx`` version: this +happens when the system's ``Sphinx`` package is used instead of the virtual +environment's ``Sphinx`` package, and the former trying to import a ``DIPY`` +version in the system: the ``Sphinx`` package used should correspond to that of +the virtual environment where ``DIPY`` lives. This can be solved by specifying +the path to the ``Sphinx`` package in the virtual environment:: + + make html SPHINXBUILD='python /sphinx-build' + + +.. include:: ../links_names.inc \ No newline at end of file diff --git a/1.8.0/_sources/devel/toolchain.rst.txt b/1.8.0/_sources/devel/toolchain.rst.txt new file mode 100644 index 00000000..552856f0 --- /dev/null +++ b/1.8.0/_sources/devel/toolchain.rst.txt @@ -0,0 +1,192 @@ +.. _toolchain-roadmap: + +🛠️ Toolchain Roadmap +==================== + +The DIPY_ library relies on a set of primary dependencies, most notably Python, +NumPy and Nibabel_ to function effectively. Additionally, a broader array of +libraries and tools is necessary for both building the library and constructing +its documentation. + +It's important to note that these tools and libraries are continuously evolving. +This document aims to outline how DIPY_ will manage its usage of these dynamic +dependencies over time. + +DIPY_ strives to maintain compatibility across multiple releases of its +dependent libraries and tools. Requiring users to switch to other components +with every release would significantly reduce the value of DIPY_. Nevertheless, +retaining compatibility with older toolsets and libraries sets boundaries on +incorporating newer functionalities and capabilities. + +DIPY_ adopts a moderately conservative approach by ensuring compatibility with +several major releases of Python and NumPy across major platforms. However, +this stance may introduce further constraints, as illustrated in the C Compilers +section. + +- First and foremost, DIPY_ is a Python project, hence it requires a Python environment. +- Compilers for C code is needed, as well as for Cython. +- The Python environment needs ``NumPy`` and ``Nibabel`` package to be installed. +- Testing requires the ``pytest`` Python packages. +- Building the documentation requires Sphinx packages along with ``sphinx_design``, + ``sphinxcontrib-bibtex``, ``sphinx-gallery``, PyData/GRG theme. + +Building DIPY +-------------- + +Python Versions +^^^^^^^^^^^^^^^ + +DIPY is compatible with several versions of Python. When dropping support for +older Python versions, DIPY takes guidance from :ref:`Scientific-Python SPECS`. +Python 2.7 support was dropped starting from DIPY 1.0.0 + +================ ======================================================================= + Date Pythons supported +================ ======================================================================= + 2018 Py2.7, Py3.4+ (DIPY 0.16.x is the last release to support Python 2.7) + 2019 Py3.5+ + mid-2020 Py3.6+ + 2022 Py3.7+ + mid-2023 Py3.8+ + 2024 Py3.9+ +================ ======================================================================= + +NumPy +^^^^^ + +While DIPY_ relies on NumPy, its releases are not bound to specific NumPy +releases. Instead, DIPY_ strives for compatibility with at least the four +preceding releases of NumPy. This approach necessitates writing DIPY_ using +features common to all these versions, rather than relying solely on the +latest NumPy features [1]_. + +The table provided illustrates the compatible NumPy versions for each major +Python release. + +================= ======================== ======================= + DIPY_ version Python versions NumPy versions +================= ======================== ======================= + 0.16.0 2.7, >=3.4, <=3.7 >=1.8.2, <= 1.16.x + 1.0.0 >=3.5, <=3.7 >=1.13.3, <= 1.16.x + 1.1.0/1 >=3.5, <=3.8 >=1.13.3, <= 1.17.3 + 1.2.0 >=3.6, <=3.8 >=1.14.5, <= 1.17.3 + 1.3.0 >=3.6, <=3.8 >=1.14.5, <1.17.3 + 1.4.0/1 >=3.6, <=3.9 >=1.14.5, <1.20.x + 1.5.0 >=3.7, <=3.10 >=1.16.x, <1.23.0 + 1.6.0 >=3.7, <=3.11 >=1.16.x, <1.24.0 + 1.7.0 >=3.8, <=3.11 >=1.19.5, <1.24.0 + 1.8.0 >=3.8, <=3.12 >=1.19.5, <1.26.0 + 1.9.0 >=3.9, <3.12 >=1.21.6, <1.27.0 +================= ======================== ======================= + +.. note:: + + The table above is not exhaustive. In specific cases, such as a + particular architecture, these requirements could vary. + + +Compilers +^^^^^^^^^ + +Building DIPY_ requires compilers for C as well as the python transpilers +Cython. + +To maintain compatibility with a large number of platforms & setups, especially +where using the official wheels (or other distribution channels like Anaconda +or conda-forge) is not possible, DIPY_ tries to keep compatibility with older +compilers, on platforms that have not yet reached their official end-of-life. + +As explained in more detail below, the current minimal compiler versions are: + +========== =========================== =============================== ============================ + Compiler Default Platform (tested) Secondary Platform (untested) Minimal Version +========== =========================== =============================== ============================ + GCC Linux AIX, Alpine Linux, OSX GCC 8.x + LLVM OSX Linux, FreeBSD, Windows LLVM 10.x + MSVC Windows - Visual Studio 2019 (vc142) +========== =========================== =============================== ============================ + +Note that the lower bound for LLVM is not enforced. Older versions should +work, but no version below LLVM 12 is tested regularly during development. +Please file an issue if you encounter a problem during compilation. + +Official Builds +~~~~~~~~~~~~~~~ + +Currently, DIPY_ wheels are being built as follows: + +================ ============================== ============================== ============================= + Platform CI Base Images [2]_ [3]_ [4]_ Compilers Comment +================ ============================== ============================== ============================= +Linux x86 ``ubuntu-22.04`` GCC 10.2.1 ``cibuildwheel`` +Linux arm ``docker-builder-arm64`` GCC 11.3.0 ``cibuildwheel`` +OSX x86 ``macOS-11`` clang-13 ``cibuildwheel`` +OSX arm ``macos-monterey-xcode:14`` clang-13.1.6 ``cibuildwheel`` +Windows ``windows-2019`` Microsoft Visual 2019 (14.20) ``cibuildwheel`` +================ ============================== ============================== ============================= + + +Testing and Benchmarking +-------------------------- + +Testing and benchmarking require recent versions of: + +========================= ======== ==================================== + Tool Version URL +========================= ======== ==================================== +pytest Recent https://docs.pytest.org/en/latest/ +asv (airspeed velocity) Recent https://asv.readthedocs.io/ +========================= ======== ==================================== + + +Building the Documentation +-------------------------- + +==================== ================================================= + Tool Version +==================== ================================================= +Sphinx Whatever recent versions work. >= 6.0. +GRG Sphinx theme Whatever recent versions work. >= 0.3.1. +Sphinx-Design Whatever recent versions work. >= 0.5.0. +numpydoc Whatever recent versions work. >= 1.6.0. +Sphinx-Gallery Whatever recent versions work. >= 0.15.0. +Sphinxcontrib-bibtex Whatever recent versions work. >= 2.6.1 +==================== ================================================= + +.. note:: + + Developer Note: The documentation build might require additional libraries + based on the examples provided. Specifically, the versions of "numpy" and + "nibabel" needed have implications for the Python docstring examples. + + It's essential for these examples to execute seamlessly in both the + documentation build environment and any supported versions of "numpy/nibabel" + that users might utilize with this DIPY_ release. + + +Packaging +--------- + +A Recent version of: + +============= ======== =============================================== + Tool Version URL +============= ======== =============================================== +meson-python Recent https://meson-python.readthedocs.io/en/latest/ +wheel Recent https://pythonwheels.com +cibuildwheel Recent https://cibuildwheel.readthedocs.io/en/stable/ +============= ======== =============================================== + +:ref:`release-guide` contain information on making and distributing a +DIPY_ release. + +References +---------- + +.. [1] https://numpy.org/doc/stable/release.html +.. [2] https://github.com/actions/runner-images +.. [3] https://cirrus-ci.org/guide/docker-builder-vm/#under-the-hood +.. [4] https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos + + +.. include:: ../links_names.inc diff --git a/1.8.0/_sources/examples_built/sg_execution_times.rst.txt b/1.8.0/_sources/examples_built/sg_execution_times.rst.txt new file mode 100644 index 00000000..76dd955c --- /dev/null +++ b/1.8.0/_sources/examples_built/sg_execution_times.rst.txt @@ -0,0 +1,37 @@ + +:orphan: + +.. _sphx_glr_examples_built_sg_execution_times: + + +Computation times +================= +**00:00.000** total execution time for 0 files **from examples_built**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - N/A + - N/A + - N/A diff --git a/1.8.0/_sources/recipes.rst.txt b/1.8.0/_sources/recipes.rst.txt new file mode 100644 index 00000000..ed90b7eb --- /dev/null +++ b/1.8.0/_sources/recipes.rst.txt @@ -0,0 +1,49 @@ +.. _recipes: + +:octicon:`mortar-board` Recipes +=============================== + +**How do I do X in DIPY?** This page contains a collection of recipes that will +help you quickly resolve common basic/advanced operation. If you have a question +that is not answered here, please ask on the `dipy discussions`_ or even better, +answer it yourself and contribute to the documentation! + + +.. dropdown:: How do I convert my tractograms? + :animate: fade-in-slide-down + + We recommend to look at the tutorials :ref:`Streamline File Formats` + + .. code-block:: Python + + from dipy.io.streamline import load_tractogram, save_tractogram + + # convert from fib to trk + my_fib_file_path = '///my_tractogram.fib' + my_trk_file_path = '///my_tractogram.trk' + my_trk = load_tractogram(my_fib_file_path, 'same') + save_tractogram(my_trk.streamlines, my_trk_file_path, 'same') + + +.. dropdown:: How do I convert my Spherical Harmonics from DIPY to MRTRIX3? + :animate: fade-in-slide-down + + *Available only on master branch. See `this thread `_ for more information. + + .. code-block:: Python + + from dipy.reconst.shm import convert_sh + convert_sh('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz') + +.. dropdown:: How do I convert my tensors from DIPY to FSL? + :animate: fade-in-slide-down + + *Available only on master branch + + .. code-block:: Python + + from dipy.io import convert_tensor + convert_tensor('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz') + + +.. include:: links_names.inc \ No newline at end of file diff --git a/1.8.0/_sources/reference_cmd/dipy_buan_shapes.rst.txt b/1.8.0/_sources/reference_cmd/dipy_buan_shapes.rst.txt new file mode 100644 index 00000000..1d148f03 --- /dev/null +++ b/1.8.0/_sources/reference_cmd/dipy_buan_shapes.rst.txt @@ -0,0 +1,38 @@ + +================ +dipy_buan_shapes +================ + +Usage +----- + +dipy_buan_shapes [-h] [--clust_thr [float ...]] [--threshold float] [--out_dir str] subject_folder + +Workflow of bundle analytics. + +Applies bundle shape similarity analysis on bundles of subjects and saves the results in a directory specified by ``out_dir``. + +Positional Arguments +-------------------- + + + subject_folder Path to the input subject folder. This path may contain wildcards to process multiple inputs at once. + +options: + -h, --help show this help message and exit + --clust_thr [float ...] + list of bundle clustering thresholds used in QuickBundlesX. + --threshold float Bundle shape similarity threshold. + +Output Arguments(Optional) +-------------------------- + + + --out_dir str Output directory. (default current directory) + +References +---------- + + +.. [Chandio2020] Chandio, B.Q., Risacher, S.L., Pestilli, F.,Bullock, D., Yeh, FC., Koudoro, S., Rokem, A., Harezlak, J., andGaryfallidis, E. Bundle analytics, a computational framework forinvestigating the shapes and profiles of brain pathways acrosspopulations. Sci Rep 10, 17149 (2020) +Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014. \ No newline at end of file diff --git a/1.8.0/_sources/release_notes/release1.8.rst.txt b/1.8.0/_sources/release_notes/release1.8.rst.txt new file mode 100644 index 00000000..27fc740e --- /dev/null +++ b/1.8.0/_sources/release_notes/release1.8.rst.txt @@ -0,0 +1,376 @@ +.. _release1.8: + +==================================== + Release notes for DIPY version 1.8 +==================================== +GitHub stats for 2023/04/23 - 2023/12/13 (tag: 1.7.0) + +These lists are automatically generated, and may be incomplete or contain duplicates. + +The following 28 authors contributed 733 commits. + +* Ariel Rokem +* Atharva Shah +* Bramsh Qamar +* Charles Poirier +* Dimitri Papadopoulos +* Eleftherios Garyfallidis +* Emmanuelle Renauld +* Eric Larson +* Francois Rheault +* Gabriel Girard +* Javier Guaje +* John Kruper +* Jon Haitz Legarreta Gorroño +* Jong Sung Park +* Maharshi Gor +* Michael R. Crusoe +* Nicolas Delinte +* Paul Camacho +* Philippe Karan +* Rafael Neto Henriques +* Sam Coveney +* Samuel St-Jean +* Serge Koudoro +* Shilpi Prasad +* Theodore Ni +* Vara Lakshmi Bayanagari +* dependabot[bot] +* Étienne Mollier + + +We closed a total of 327 issues, 130 pull requests and 197 regular issues; +this is the full list (generated with the script +:file:`tools/github_stats.py`): + +Pull Requests (129): + +* :ghpull:`3009`: [DOC] Update installation instruction [ci skip] +* :ghpull:`2999`: TEST: Set explicitly `CLARABEL` as the CVXPY solver +* :ghpull:`2943`: BF: Fix bundlewarp shape analysis profile values for all `False` mask +* :ghpull:`2992`: RGB support for images +* :ghpull:`2989`: BF: Mask `1` values in leveraged, residual matrix computation +* :ghpull:`3007`: [RF] Define minimum version for some optional packages +* :ghpull:`3006`: [NF] Introduce minimum version in `optional_package` +* :ghpull:`3002`: [RF] Improve scripts and import management +* :ghpull:`3005`: Bump actions/setup-python from 4 to 5 +* :ghpull:`3004`: TEST: Check and filter PCA dimensionality problem warning +* :ghpull:`2996`: RF: Fix b0 threshold warnings +* :ghpull:`2995`: [MTN] remove custom module `_importlib` +* :ghpull:`2998`: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test +* :ghpull:`3001`: RF: Create PCA denoising utils methods +* :ghpull:`3000`: RF: Prefer raising `sklearn` package warnings when required +* :ghpull:`2997`: TEST: Filter warning about resorting to `OLS` fitting method +* :ghpull:`2991`: MTN: fix byte swap ordering for numpy 2.0 +* :ghpull:`2987`: STYLE: Make `cvxpy`-dependent test checking consistent in `test_mcsd` +* :ghpull:`2990`: STYLE: Use `.astype()` on uninitialized array casting +* :ghpull:`2984`: DOC: Miscellaneous documentation improvements +* :ghpull:`2988`: STYLE: Remove unused import in `dipy/core/gradients.py` +* :ghpull:`2985`: Bump conda-incubator/setup-miniconda from 2 to 3 +* :ghpull:`2986`: DOC: Fix typos and grammar in `lcr_matrix` function documentation +* :ghpull:`2983`: STYLE: Fix boolean variable negation warnings +* :ghpull:`2981`: [MTN] replace the deprecated sctypes +* :ghpull:`2980`: [FIX] int_t to npy_intp +* :ghpull:`2978`: DOC: Fix issue template [ci skip] +* :ghpull:`2976`: [MTN] Update index url for PRE-Wheels dependencies +* :ghpull:`2975`: connectivity_matrix code speed up +* :ghpull:`2715`: Enable building DIPY with Meson +* :ghpull:`2964`: RF: Moving to numpy.random.Generator from numpy.random +* :ghpull:`2963`: NF: Updating EVAC+ model and adding util function +* :ghpull:`2974`: [MTN] Disable github check annotations +* :ghpull:`2956`: Adding support for btens to multi_shell_fiber_response function +* :ghpull:`2969`: bugfix for --force issue +* :ghpull:`2967`: Feature/opacity checkbox +* :ghpull:`2966`: volume slider fix +* :ghpull:`2958`: TEST: Filter legacy SH bases warnings in bootstrap direction getter test +* :ghpull:`2944`: [DOC] Remove `..figure` directive in examples +* :ghpull:`2961`: fixes for pep8 in previous PR +* :ghpull:`2922`: synchronized-slicers for same size +* :ghpull:`2924`: Additional check for horizon +* :ghpull:`2957`: STYLE: Fix typo in `msdki` reconstruction test name +* :ghpull:`2941`: TEST: Fix NumPy array to scalar value conversion warning +* :ghpull:`2932`: OPT - Optimized pmfgen +* :ghpull:`2929`: Stabilizing some test functions with set random seeds +* :ghpull:`2954`: TEST: Bring back Python 3.8 testing to GHA workflows +* :ghpull:`2946`: RF: Refactor duplicate code in `qtdmri` to `mapmri` coeff computation +* :ghpull:`2947`: RF - BootDirectionGetter +* :ghpull:`2945`: DOC: Fix miscellaneous docstrings +* :ghpull:`2940`: TEST: Filter legacy SH bases warnings in PTT direction getter test +* :ghpull:`2938`: TEST: Adding random generator with seed to icm tests +* :ghpull:`2942`: OPT: Delegate to NumPy creating a random matrix +* :ghpull:`2939`: DOC: Update jhlegarreta affiliation in developers +* :ghpull:`2933`: fixed bug with fit extra returns +* :ghpull:`2930`: Update of the tutorial apply image-based registration to streamlines +* :ghpull:`2759`: TRX integration +* :ghpull:`2923`: [DOC] Large documentation update +* :ghpull:`2825`: NF - add initial directions to local tracking +* :ghpull:`2892`: BF - fixed random generator seed `value too large to convert to int` error +* :ghpull:`2926`: ENH: MSMT CSD module unique b-val tolerance parameter improvements +* :ghpull:`2927`: DOC: Fix package name in documentation config file comment +* :ghpull:`2925`: STYLE: Fix miscellaneous Numpy warnings +* :ghpull:`2781`: Small fixes in functions +* :ghpull:`2910`: STYLE: f-strings +* :ghpull:`2921`: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject +* :ghpull:`2906`: [FIX] Pin scipy for the conda failing CI's +* :ghpull:`2920`: Mark Python3 files as such +* :ghpull:`2919`: fix various grammar errors +* :ghpull:`2915`: DOC: http:// → https:// +* :ghpull:`2916`: Build(deps): Bump codespell-project/actions-codespell from 1 to 2 +* :ghpull:`2914`: GitHub Actions +* :ghpull:`2816`: Correlation Tensor Imaging +* :ghpull:`2912`: MAINT: the symbol for second is s, not sec. +* :ghpull:`2902`: Short import for horizon +* :ghpull:`2904`: Apply refurb suggestions +* :ghpull:`2899`: DOC: Fix typos newly found by codespell +* :ghpull:`2891`: Apply pyupgrade suggestions +* :ghpull:`2898`: Remove zip operation in transform_tracking_output +* :ghpull:`2897`: BF: Bug when downloading hbn data. +* :ghpull:`2893`: Remove consecutive duplicate words +* :ghpull:`2894`: Get rid of trailing spaces in text files +* :ghpull:`2889`: Apply pyupgrade suggestions +* :ghpull:`2888`: Fix typos newly found by codespell +* :ghpull:`2887`: Update shm.py +* :ghpull:`2814`: [Fix] Horizon: Binary image loading +* :ghpull:`2885`: [ENH] Add minimum length to streamline generator +* :ghpull:`2875`: Increased PTT performances +* :ghpull:`2879`: Add fetcher for a sample CTI dataset +* :ghpull:`2882`: Change license_file to license_files in setup.cfg +* :ghpull:`2804`: Adding diffusion data descriptions from references to reconstruction table +* :ghpull:`2730`: Fix weighted Jacobians, return extra fit data, add adjacency function +* :ghpull:`2821`: NF - added pft min wm parameter +* :ghpull:`2876`: Introduction of pydata theme for sphinx +* :ghpull:`2846`: Vara's Week 8 & Week 9 blog +* :ghpull:`2870`: Vara's Week 12 and Week 13 blog +* :ghpull:`2865`: Shilpi's Week0&Week1 combined +* :ghpull:`2868`: Submitting Week13.rst file +* :ghpull:`2871`: Corrected paths to static files +* :ghpull:`2863`: Shilpi's Week12 Blog. +* :ghpull:`2856`: Adding Week 11 Blog +* :ghpull:`2849`: Shilpi's 10th Blog +* :ghpull:`2847`: Pushing Week 8 + 9 blog +* :ghpull:`2836`: Shilpi's Week 5 blog +* :ghpull:`2864`: Change internal space/origin when using sft.to_x() with an empty sft. +* :ghpull:`2806`: BF - initial backward orientation of local tracking +* :ghpull:`2862`: Vara's Week 10 & Week 11 blog +* :ghpull:`2843`: Pushing 7th_blog +* :ghpull:`2841`: Vara's Week 6 & Week 7 blog +* :ghpull:`2835`: Vara's week 5 blog +* :ghpull:`2829`: Pushing 3rd blog +* :ghpull:`2828`: Vara's week 3 blog +* :ghpull:`2860`: Updates HCP fetcher dataset_description to be compatible with current BIDS +* :ghpull:`2831`: Vara's week 4 blog +* :ghpull:`2833`: Pushing 4thBlog +* :ghpull:`2840`: Shilpi's Week6 Blog +* :ghpull:`2839`: make order_from_ncoef return an int +* :ghpull:`2844`: doc/tools/: fix trailing dot in version number. +* :ghpull:`2832`: BundleWarp: added tutorial and fixed a small bug +* :ghpull:`2818`: Vara's week 0 blog +* :ghpull:`2823`: submitting clearn PR for 2nd blog +* :ghpull:`2813`: First Blog +* :ghpull:`2808`: [DOC] Fix cross referencing +* :ghpull:`2798`: Move evac+ to new module `nn` +* :ghpull:`2797`: remove Nibabel InTemporaryDirectory +* :ghpull:`2800`: Remove the Deprecating nisext +* :ghpull:`2795`: bump dependencies minimal version +* :ghpull:`2792`: Add `patch_radius` parameter to Patch2Self denoise workflow +* :ghpull:`2761`: [UPCOMING] Release 1.7.0 - workshop release + +Issues (197): + +* :ghissue:`3009`: [DOC] Update installation instruction [ci skip] +* :ghissue:`2999`: TEST: Set explicitly `CLARABEL` as the CVXPY solver +* :ghissue:`2943`: BF: Fix bundlewarp shape analysis profile values for all `False` mask +* :ghissue:`2992`: RGB support for images +* :ghissue:`2989`: BF: Mask `1` values in leveraged, residual matrix computation +* :ghissue:`3007`: [RF] Define minimum version for some optional packages +* :ghissue:`3006`: [NF] Introduce minimum version in `optional_package` +* :ghissue:`1256`: script path can not be found on OSX +* :ghissue:`3002`: [RF] Improve scripts and import management +* :ghissue:`3005`: Bump actions/setup-python from 4 to 5 +* :ghissue:`3004`: TEST: Check and filter PCA dimensionality problem warning +* :ghissue:`2996`: RF: Fix b0 threshold warnings +* :ghissue:`2995`: [MTN] remove custom module `_importlib` +* :ghissue:`2998`: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test +* :ghissue:`3001`: RF: Create PCA denoising utils methods +* :ghissue:`3000`: RF: Prefer raising `sklearn` package warnings when required +* :ghissue:`2997`: TEST: Filter warning about resorting to `OLS` fitting method +* :ghissue:`2979`: Prerelease wheels not NumPy 2.0.0.dev compatible +* :ghissue:`2991`: MTN: fix byte swap ordering for numpy 2.0 +* :ghissue:`2987`: STYLE: Make `cvxpy`-dependent test checking consistent in `test_mcsd` +* :ghissue:`2990`: STYLE: Use `.astype()` on uninitialized array casting +* :ghissue:`2984`: DOC: Miscellaneous documentation improvements +* :ghissue:`2988`: STYLE: Remove unused import in `dipy/core/gradients.py` +* :ghissue:`2985`: Bump conda-incubator/setup-miniconda from 2 to 3 +* :ghissue:`2986`: DOC: Fix typos and grammar in `lcr_matrix` function documentation +* :ghissue:`2905`: base tests +* :ghissue:`2983`: STYLE: Fix boolean variable negation warnings +* :ghissue:`2981`: [MTN] replace the deprecated sctypes +* :ghissue:`2980`: [FIX] int_t to npy_intp +* :ghissue:`2978`: DOC: Fix issue template [ci skip] +* :ghissue:`2976`: [MTN] Update index url for PRE-Wheels dependencies +* :ghissue:`2975`: connectivity_matrix code speed up +* :ghissue:`2514`: Reshape our packaging system +* :ghissue:`2715`: Enable building DIPY with Meson +* :ghissue:`2964`: RF: Moving to numpy.random.Generator from numpy.random +* :ghissue:`2736`: dipy_horizon needs --force option if there is tmp.png +* :ghissue:`2960`: add type annotation in io module +* :ghissue:`2803`: Type annotations integration +* :ghissue:`2963`: NF: Updating EVAC+ model and adding util function +* :ghissue:`2974`: [MTN] Disable github check annotations +* :ghissue:`2956`: Adding support for btens to multi_shell_fiber_response function +* :ghissue:`2969`: bugfix for --force issue +* :ghissue:`2967`: Feature/opacity checkbox +* :ghissue:`2965`: Pip installation issues with python 3.12 +* :ghissue:`2968`: Pip installation issues with python 3.12 +* :ghissue:`2966`: volume slider fix +* :ghissue:`2958`: TEST: Filter legacy SH bases warnings in bootstrap direction getter test +* :ghissue:`2801`: Some left-overs from sphinx-gallery conversion +* :ghissue:`2944`: [DOC] Remove `..figure` directive in examples +* :ghissue:`2961`: fixes for pep8 in previous PR +* :ghissue:`2922`: synchronized-slicers for same size +* :ghissue:`2878`: DIPY reinstall doesn't automatically update needed dependencies +* :ghissue:`2924`: Additional check for horizon +* :ghissue:`2957`: STYLE: Fix typo in `msdki` reconstruction test name +* :ghissue:`2941`: TEST: Fix NumPy array to scalar value conversion warning +* :ghissue:`2932`: OPT - Optimized pmfgen +* :ghissue:`2929`: Stabilizing some test functions with set random seeds +* :ghissue:`2954`: TEST: Bring back Python 3.8 testing to GHA workflows +* :ghissue:`2953`: [WIP] Nlmeans update +* :ghissue:`2946`: RF: Refactor duplicate code in `qtdmri` to `mapmri` coeff computation +* :ghissue:`2955`: set_number_of_points function not found for dipy 1.7.0 +* :ghissue:`2947`: RF - BootDirectionGetter +* :ghissue:`2952`: Delete dipy/denoise/nlmeans.py +* :ghissue:`2949`: HBN fetcher failed +* :ghissue:`2945`: DOC: Fix miscellaneous docstrings +* :ghissue:`718`: Create an example of multi b-value SFM +* :ghissue:`2523`: Doc generation failed +* :ghissue:`2940`: TEST: Filter legacy SH bases warnings in PTT direction getter test +* :ghissue:`2928`: `test_icm_square` failing on and off +* :ghissue:`2938`: TEST: Adding random generator with seed to icm tests +* :ghissue:`2942`: OPT: Delegate to NumPy creating a random matrix +* :ghissue:`2939`: DOC: Update jhlegarreta affiliation in developers +* :ghissue:`2933`: fixed bug with fit extra returns +* :ghissue:`2936`: Automatic Fiber Bundle Extraction with RecoBundles in DIPY 1.7 broken? +* :ghissue:`2934`: demo code not working +* :ghissue:`2787`: Adds a pyproject file. +* :ghissue:`2786`: "Image based streamlines_registration: unable to warp streamlines into template" +* :ghissue:`2400`: Applying image-based deformations to streamlines example +* :ghissue:`2703`: Image based streamlines_registration: unable to warp streamlines into template space +* :ghissue:`2930`: Update of the tutorial apply image-based registration to streamlines +* :ghissue:`2759`: TRX integration +* :ghissue:`2931`: Add caption to sphinx gallery figure +* :ghissue:`2560`: MCSD Tutorial failed with `cvxpy>=1.1.15` +* :ghissue:`2794`: Add a search box to the DIPY documentation +* :ghissue:`2815`: Reconstruction table of content doesn't connect to MAP+ +* :ghissue:`2923`: [DOC] Large documentation update +* :ghissue:`2790`: DTI fitting function with NLLS method raises an error. +* :ghissue:`2872`: Website image (not showing up or wrong tag showing) +* :ghissue:`2884`: WIP: trx integration +* :ghissue:`2825`: NF - add initial directions to local tracking +* :ghissue:`2892`: BF - fixed random generator seed `value too large to convert to int` error +* :ghissue:`2926`: ENH: MSMT CSD module unique b-val tolerance parameter improvements +* :ghissue:`2927`: DOC: Fix package name in documentation config file comment +* :ghissue:`2925`: STYLE: Fix miscellaneous Numpy warnings +* :ghissue:`2777`: Error using dipy_motion_correct +* :ghissue:`2781`: Small fixes in functions +* :ghissue:`2648`: Issues with dipy_align_syn +* :ghissue:`2900`: format → f-strings? +* :ghissue:`2910`: STYLE: f-strings +* :ghissue:`2921`: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject +* :ghissue:`2906`: [FIX] Pin scipy for the conda failing CI's +* :ghissue:`2920`: Mark Python3 files as such +* :ghissue:`2919`: fix various grammar errors +* :ghissue:`2915`: DOC: http:// → https:// +* :ghissue:`2896`: Interactive examples for dipy +* :ghissue:`2901`: patch2self question +* :ghissue:`2916`: Build(deps): Bump codespell-project/actions-codespell from 1 to 2 +* :ghissue:`2914`: GitHub Actions +* :ghissue:`2816`: Correlation Tensor Imaging +* :ghissue:`2912`: MAINT: the symbol for second is s, not sec. +* :ghissue:`2913`: DOC: fix links +* :ghissue:`2902`: Short import for horizon +* :ghissue:`2908`: Voxel correspondance between Non-Linearly aligned Volumes +* :ghissue:`2890`: Attempt to fix error in conda jobs +* :ghissue:`2907`: Temp - Gab PR +* :ghissue:`2904`: Apply refurb suggestions +* :ghissue:`2903`: Typo in the skills required section (Project 2) of Project Ideas +* :ghissue:`2899`: DOC: Fix typos newly found by codespell +* :ghissue:`2891`: Apply pyupgrade suggestions +* :ghissue:`2898`: Remove zip operation in transform_tracking_output +* :ghissue:`2897`: BF: Bug when downloading hbn data. +* :ghissue:`2893`: Remove consecutive duplicate words +* :ghissue:`2894`: Get rid of trailing spaces in text files +* :ghissue:`2889`: Apply pyupgrade suggestions +* :ghissue:`2888`: Fix typos newly found by codespell +* :ghissue:`2887`: Update shm.py +* :ghissue:`2814`: [Fix] Horizon: Binary image loading +* :ghissue:`2885`: [ENH] Add minimum length to streamline generator +* :ghissue:`1372`: Change direction getter dictionary keys from floats[3] to int +* :ghissue:`2805`: Incorrect initial direction for the backward segment of local tracking +* :ghissue:`2875`: Increased PTT performances +* :ghissue:`2883`: Adding last,Week14Blog +* :ghissue:`2879`: Add fetcher for a sample CTI dataset +* :ghissue:`2769`: DOC example for data_per_streamline usage +* :ghissue:`2774`: Added a tutorial in doc folder for saving labels. +* :ghissue:`2882`: Change license_file to license_files in setup.cfg +* :ghissue:`2881`: Adding fetcher in the test_file for #2879 +* :ghissue:`2867`: Bug in PFT when changing the random function +* :ghissue:`2804`: Adding diffusion data descriptions from references to reconstruction table +* :ghissue:`2820`: fixed bug for nlls fitting +* :ghissue:`2746`: Weighted Non-Linear Fitting may be wrong +* :ghissue:`2730`: Fix weighted Jacobians, return extra fit data, add adjacency function +* :ghissue:`2821`: NF - added pft min wm parameter +* :ghissue:`2876`: Introduction of pydata theme for sphinx +* :ghissue:`2846`: Vara's Week 8 & Week 9 blog +* :ghissue:`2870`: Vara's Week 12 and Week 13 blog +* :ghissue:`2865`: Shilpi's Week0&Week1 combined +* :ghissue:`2868`: Submitting Week13.rst file +* :ghissue:`2871`: Corrected paths to static files +* :ghissue:`2873`: Motion estimate +* :ghissue:`2863`: Shilpi's Week12 Blog. +* :ghissue:`2856`: Adding Week 11 Blog +* :ghissue:`2849`: Shilpi's 10th Blog +* :ghissue:`2847`: Pushing Week 8 + 9 blog +* :ghissue:`2836`: Shilpi's Week 5 blog +* :ghissue:`2864`: Change internal space/origin when using sft.to_x() with an empty sft. +* :ghissue:`2806`: BF - initial backward orientation of local tracking +* :ghissue:`2862`: Vara's Week 10 & Week 11 blog +* :ghissue:`2843`: Pushing 7th_blog +* :ghissue:`2841`: Vara's Week 6 & Week 7 blog +* :ghissue:`2835`: Vara's week 5 blog +* :ghissue:`2829`: Pushing 3rd blog +* :ghissue:`2828`: Vara's week 3 blog +* :ghissue:`2860`: Updates HCP fetcher dataset_description to be compatible with current BIDS +* :ghissue:`2831`: Vara's week 4 blog +* :ghissue:`1883`: Interesting dataset for linear, planar, spherical encoding +* :ghissue:`2491`: ENH: Extend Horizon to visualize 2 volumes simultaneously +* :ghissue:`2812`: Patch2self denoising followed by topup and eddy corrections worsens distortions in the orbitofrontal region +* :ghissue:`2833`: Pushing 4thBlog +* :ghissue:`2858`: Odffp +* :ghissue:`2857`: Odffp +* :ghissue:`2840`: Shilpi's Week6 Blog +* :ghissue:`2838`: Reconstruction issues using MAP-MRI model (RTOP, RTAP, RTPP) +* :ghissue:`2845`: MAP ODF issues +* :ghissue:`2851`: How to use "synb0" in Dipy for preprocessing +* :ghissue:`2839`: make order_from_ncoef return an int +* :ghissue:`2844`: doc/tools/: fix trailing dot in version number. +* :ghissue:`2827`: BundleWarp CLI Tutorial - Missing from Website +* :ghissue:`2832`: BundleWarp: added tutorial and fixed a small bug +* :ghissue:`1627`: WIP - NF - Tracking with Initial Directions and other tracking parameters +* :ghissue:`2818`: Vara's week 0 blog +* :ghissue:`2823`: submitting clearn PR for 2nd blog +* :ghissue:`2822`: Pushing 2nd blog, +* :ghissue:`2813`: First Blog +* :ghissue:`2808`: [DOC] Fix cross referencing +* :ghissue:`2798`: Move evac+ to new module `nn` +* :ghissue:`2797`: remove Nibabel InTemporaryDirectory +* :ghissue:`2706`: FYI: Deprecating nisext in nibabel +* :ghissue:`2800`: Remove the Deprecating nisext +* :ghissue:`2689`: Installing DIPY fails with current conda version +* :ghissue:`2718`: StatefulTractogram +* :ghissue:`2795`: bump dependencies minimal version +* :ghissue:`2747`: Cannot set `dipy` as a dependency +* :ghissue:`2791`: Update Patch2Self CLI +* :ghissue:`2792`: Add `patch_radius` parameter to Patch2Self denoise workflow +* :ghissue:`2771`: BUG: Missing Python 3.11 macOS wheels +* :ghissue:`2761`: [UPCOMING] Release 1.7.0 - workshop release diff --git a/1.8.0/_sources/sg_execution_times.rst.txt b/1.8.0/_sources/sg_execution_times.rst.txt new file mode 100644 index 00000000..cb7874be --- /dev/null +++ b/1.8.0/_sources/sg_execution_times.rst.txt @@ -0,0 +1,304 @@ + +:orphan: + +.. _sphx_glr_sg_execution_times: + + +Computation times +================= +**02:13.835** total execution time for 90 files **from all galleries**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_forecast.py` (``examples_revamped\reconstruction\reconst_forecast.py``) + - 01:16.956 + - 0.0 + * - :ref:`sphx_glr_examples_built_visualization_viz_bundles.py` (``examples_revamped\visualization\viz_bundles.py``) + - 00:28.440 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_fwdti.py` (``examples_revamped\reconstruction\reconst_fwdti.py``) + - 00:16.550 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_register_binary_fuzzy.py` (``examples_revamped\registration\register_binary_fuzzy.py``) + - 00:11.889 + - 0.0 + * - :ref:`sphx_glr_examples_built_contextual_enhancement_contextual_enhancement.py` (``examples_revamped\contextual_enhancement\contextual_enhancement.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_contextual_enhancement_fiber_to_bundle_coherence.py` (``examples_revamped\contextual_enhancement\fiber_to_bundle_coherence.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_linear_fascicle_evaluation.py` (``examples_revamped\fiber_tracking\linear_fascicle_evaluation.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_surface_seed.py` (``examples_revamped\fiber_tracking\surface_seed.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_bootstrap_peaks.py` (``examples_revamped\fiber_tracking\tracking_bootstrap_peaks.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_deterministic.py` (``examples_revamped\fiber_tracking\tracking_deterministic.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_introduction_eudx_1.py` (``examples_revamped\fiber_tracking\tracking_introduction_eudx_1.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_pft.py` (``examples_revamped\fiber_tracking\tracking_pft.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_probabilistic.py` (``examples_revamped\fiber_tracking\tracking_probabilistic.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_ptt.py` (``examples_revamped\fiber_tracking\tracking_ptt.py``) + - 00:00.000 + - 0.0 + * - 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zoQiwKh#?Sa{9ZQ!_Oe}4E@WhkVY{g(-=G25QaMIike5gPOEY|u?My;{?-hgy*lGAH zUfa3IUBDL~Lp~I>nD~tKxVWJ;;KaihQse#2FC3N_n~eN2A$4u=Uf!Mp!tCXmc>RAo k2ljt6TPDx?`x!OHzV++9JZbLBfE<#lqLxCfoK?jC0Qx|c&;S4c literal 0 HcmV?d00001 diff --git a/1.8.0/devel/benchmarking.html b/1.8.0/devel/benchmarking.html new file mode 100644 index 00000000..a645d4a4 --- /dev/null +++ b/1.8.0/devel/benchmarking.html @@ -0,0 +1,1282 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

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🚀 DIPY Benchmarks 📊#

+

Benchmarking Dipy with Airspeed Velocity (ASV). Measure the speed and performance of DIPY functions easily!

+
+

Prerequisites ⚙️#

+

Before you start, make sure you have ASV and installed:

+
pip install asv
+pip install virtualenv
+
+
+
+
+

Getting Started 🏃‍♂️#

+

DIPY Benchmarking is as easy as a piece of 🍰 with ASV. You don’t need to install a development version of DIPY into your current Python environment. ASV manages virtual environments and builds DIPY automatically.

+
+
+

Running Benchmarks 📈#

+

To run all available benchmarks, navigate to the root DIPY directory at the command line and execute:

+
spin bench
+
+
+

This command builds DIPY and runs all available benchmarks defined in the benchmarks/ directory. Be patient; this could take a while as each benchmark is run multiple times to measure execution time distribution.

+

For local testing without replications, unleash the power of ⚡:

+
cd benchmarks/
+export REGEXP="bench.*Ufunc"
+asv run --dry-run --show-stderr --python=same --quick -b $REGEXP
+
+
+

Here, $REGEXP is a regular expression used to match benchmarks, and --quick is used to avoid repetitions.

+

To run benchmarks from a particular benchmark module, such as bench_segment.py, simply append the filename without the extension:

+
spin bench -t bench_segment
+
+
+

To run a benchmark defined in a class, such as BenchQuickbundles from bench_segment.py, show your benchmarking ninja skills:

+
spin bench -t bench_segment.BenchQuickbundles
+
+
+
+
+

Comparing Results 📊#

+

To compare benchmark results with another version/commit/branch, use the --compare option (or -c):

+
spin bench --compare v1.7.0 -t bench_segment
+spin bench --compare 20d03bcfd -t bench_segment
+spin bench -c master -t bench_segment
+
+
+

These commands display results in the console but don’t save them for future comparisons. For greater control and to save results for future comparisons, use ASV commands:

+
cd benchmarks
+asv run -n -e --python=same
+asv publish
+asv preview
+
+
+
+
+

Benchmarking Versions 💻#

+

To benchmark or visualize releases on different machines locally, generate tags with their commits:

+
cd benchmarks
+# Get commits for tags
+# delete tag_commits.txt before re-runs
+for gtag in $(git tag --list --sort taggerdate | grep "^v"); do
+git log $gtag --oneline -n1 --decorate=no | awk '{print $1;}' >> tag_commits.txt
+done
+# Use the last 20 versions for maximum power 🔥
+tail --lines=20 tag_commits.txt > 20_vers.txt
+asv run HASHFILE:20_vers.txt
+# Publish and view
+asv publish
+asv preview
+
+
+
+
+

Contributing 🤝#

+

TBD

+
+
+

Writing Benchmarks ✏️#

+

See `ASV documentation<https://asv.readthedocs.io/>`__ for basics on how to write benchmarks.

+

Things to consider:

+
    +
  • The benchmark suite should be importable with multiple DIPY version.

  • +
  • Benchmark parameters should not depend on which DIPY version is installed.

  • +
  • Keep the runtime of the benchmark reasonable.

  • +
  • Prefer ASV’s time_ methods for benchmarking times.

  • +
  • Prepare arrays in the setup method rather than in the time_ methods.

  • +
  • Be mindful of large arrays created.

  • +
+
+
+

Embrace the Speed! ⏩#

+

Now you’re all set to benchmark DIPY with ASV and watch your code reach for the stars! Happy benchmarking! 🚀

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+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/devel/installation_from_source.html b/1.8.0/devel/installation_from_source.html new file mode 100644 index 00000000..c09ba6fc --- /dev/null +++ b/1.8.0/devel/installation_from_source.html @@ -0,0 +1,1390 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+

Installing from source#

+
+

Getting the source#

+

More likely you will want to get the source repository to be able to follow the +latest changes. In that case, you can use:

+
git clone https://github.com/dipy/dipy.git
+
+
+

For more information about this see Following the latest source.

+

After you’ve cloned the repository, you will have a new directory, containing +the DIPY pyproject.toml file, among others. We’ll call this directory - that +contains the pyproject.toml file - the DIPY source root directory. Sometimes +we’ll also call it the <dipy root> directory.

+
+
+

Building and installing#

+ +
+

Install from source for Unix (e.g Linux, macOS)#

+

Change directory into the DIPY source root directory.

+

First, install some python build packages:

+
pip install -r requirements/build.txt
+
+
+

Then, to install for the system:

+
pip install dipy
+
+
+

Or, to build DIPY in the source tree (locally) so you can run the code in the source tree (recommended for following the latest source) run:

+
pip install --no-build-isolation --user -e .
+
+
+

add the DIPY source root directory into your PYTHONPATH environment variable. Search google for PYTHONPATH for details or see python module path for an introduction.

+

When adding dipy to the PYTHONPATH, we usually add the PYTHONPATH at +the end of ~/.bashrc or (macOS) ~/.bash_profile so we don’t need to +retype it every time. This should look something like:

+
export PYTHONPATH="/home/user_dir/Devel/dipy:$PYTHONPATH"
+
+
+

After changing the ~/.bashrc or (macOS) ~/.bash_profile try:

+
source ~/.bashrc
+
+
+

or:

+
source ~/.bash_profile
+
+
+

so that you can have immediate access to DIPY without needing to +restart your terminal.

+
+
+

Ubuntu/Debian#

+
sudo apt-get install python-dev python-setuptools
+sudo apt-get install python-numpy python-scipy
+sudo apt-get install cython
+
+
+

then:

+
sudo pip install nibabel
+
+
+

(we need the latest version of this one - hence pip rather than +apt-get).

+

You might want the optional packages too (highly recommended):

+
sudo apt-get install ipython python-h5py python-vtk python-matplotlib
+
+
+

Now follow Install from source for Unix (e.g Linux, macOS).

+
+
+

Fedora / Mandriva maybe Redhat#

+

Same as above but use yum rather than apt-get when necessary.

+

Now follow Install from source for Unix (e.g Linux, macOS).

+
+
+

Windows#

+

Anaconda is probably the easiest way to install the dependencies that you need. +To build from source, you will also need to install the exact compiler which is +used with your specific version of python.

+

For getting this information, type this command in shell like cmd or Powershell:

+
python -c "import platform;print(platform.python_compiler())"
+
+
+

This command should print information of this form:

+
MSC v.1900 64 bit (AMD64)
+
+
+

Now that you find the relevant compiler, you have to install the VisualStudioBuildTools +by respecting the following table:

+
Visual C++ 2008  (9.0)          MSC_VER=1500
+Visual C++ 2010 (10.0)          MSC_VER=1600
+Visual C++ 2012 (11.0)          MSC_VER=1700
+Visual C++ 2013 (12.0)          MSC_VER=1800
+Visual C++ 2015 (14.0)          MSC_VER=1900
+Visual C++ 2017 (15.0)          MSC_VER=1910
+Visual C++ 2019 (16.0)          MSC_VER=1920
+Visual C++ 2022 (17.0)          MSC_VER=1930
+
+
+

After the VisualStudioBuildTools installation, restart a command shell and +change directory into the DIPY source root directory.

+

Start to install the build tools:

+
pip install -r requirements/build.txt
+
+
+

Then to install into your system:

+
pip install dipy
+
+
+

To install inplace - so that DIPY is running out of the source code directory:

+
pip install --no-build-isolation --user -e .
+
+
+

(this is the mode we recommend for following the latest source code).

+

If you get an error saying “unable to find vcvarsall.bat” then you need to +check your environment variable PATH or reinstall VisualStudioBuildTools. +Setuptools should automatically detect the compiler and use it.

+
+
+

macOS#

+

Make sure you have Xcode and Anaconda installed.

+

From here follow the Install from source for Unix (e.g Linux, macOS) instructions.

+
+
+

OpenMP with macOS#

+

OpenMP is a standard library for efficient multithreaded applications. This +is used in DIPY for speeding up many different parts of the library (e.g., denoising +and bundle registration). If you do not have an OpenMP-enabled compiler, you can +still compile DIPY from source using the above instructions, but it might not take +advantage of the multithreaded parts of the code. To be able to compile +DIPY from source with OpenMP on macOS, you will have to do a few more things. First +of all, you will need to install the Homebrew package manager. Next, you will need +to install and configure the compiler. You have two options: using the GCC compiler +or the CLANG compiler. This depends on your python installation:

+
+

Under Anaconda#

+

We recommend to install llvm via Anaconda. Run the following:

+
conda install -c conda-forge llvm-openmp
+
+
+

In case the compiler is not detected automatically, you can specify the compiler +by using the environment variable CC.

+
+
+

Under Homebrew Python or python.org Python#

+

If you are already using the Homebrew Python, or the standard python.org Python, +you will need to use the llvm compiler with OMP. Run:

+
brew install llvm
+export CC=/usr/local/bin/clang-omp
+
+
+
+
+

Building and installing#

+

Whether you are using Anaconda or Hombrew/python.org Python, you will need to then +run pip install dipy. When you do that, it should now +compile the code with this OpenMP-enabled compiler, and things should go faster!

+
+
+
+
+

Testing#

+

If you want to run the tests:

+
sudo pip install pytest
+
+
+

Then, in the terminal from <dipy root>:

+
pytest -svv dipy
+
+
+

You can also run the examples in <dipy root>/doc.

+
+
+

Documentation#

+

To build the documentation in HTML in your computer you will need to do:

+
sudo pip install sphinx
+
+
+

Then change directory to <dipy root> and:

+
cd doc
+make clean
+make -C . html
+
+
+
+

Tip#

+

Building the entire DIPY documentation takes a few hours. You may want to +skip building the documentation for the examples, which will reduce the +documentation build time to a few minutes. You can do so by executing:

+
make -C . html-no-examples
+
+
+
+
+

Troubleshooting#

+

If you encounter the following error when trying to build the documentation:

+
tools/build_modref_templates.py dipy reference
+*WARNING* API documentation not generated: Can not import dipy
+tools/docgen_cmd.py dipy reference_cmd
+*WARNING* Command line API documentation not generated: Cannot import dipy
+Build API docs...done.
+cd examples_built && ../../tools/make_examples.py
+Traceback (most recent call last):
+  File "../../tools/make_examples.py", line 33, in <module>
+    import dipy
+ModuleNotFoundError: No module named 'dipy'
+
+
+

it is probably due to a conflict between the picked Sphinx version: this +happens when the system’s Sphinx package is used instead of the virtual +environment’s Sphinx package, and the former trying to import a DIPY +version in the system: the Sphinx package used should correspond to that of +the virtual environment where DIPY lives. This can be solved by specifying +the path to the Sphinx package in the virtual environment:

+
make html SPHINXBUILD='python <path_to_sphinx>/sphinx-build'
+
+
+
+
+
+ + +
+ + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ + + + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/devel/toolchain.html b/1.8.0/devel/toolchain.html new file mode 100644 index 00000000..b51802d4 --- /dev/null +++ b/1.8.0/devel/toolchain.html @@ -0,0 +1,1517 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
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+ + +
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+ +
+ + +
+
+ +
+
+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +
+

🛠️ Toolchain Roadmap#

+

The DIPY library relies on a set of primary dependencies, most notably Python, +NumPy and Nibabel to function effectively. Additionally, a broader array of +libraries and tools is necessary for both building the library and constructing +its documentation.

+

It’s important to note that these tools and libraries are continuously evolving. +This document aims to outline how DIPY will manage its usage of these dynamic +dependencies over time.

+

DIPY strives to maintain compatibility across multiple releases of its +dependent libraries and tools. Requiring users to switch to other components +with every release would significantly reduce the value of DIPY. Nevertheless, +retaining compatibility with older toolsets and libraries sets boundaries on +incorporating newer functionalities and capabilities.

+

DIPY adopts a moderately conservative approach by ensuring compatibility with +several major releases of Python and NumPy across major platforms. However, +this stance may introduce further constraints, as illustrated in the C Compilers +section.

+
    +
  • First and foremost, DIPY is a Python project, hence it requires a Python environment.

  • +
  • Compilers for C code is needed, as well as for Cython.

  • +
  • The Python environment needs NumPy and Nibabel package to be installed.

  • +
  • Testing requires the pytest Python packages.

  • +
  • Building the documentation requires Sphinx packages along with sphinx_design, +sphinxcontrib-bibtex, sphinx-gallery, PyData/GRG theme.

  • +
+
+

Building DIPY#

+
+

Python Versions#

+

DIPY is compatible with several versions of Python. When dropping support for +older Python versions, DIPY takes guidance from Scientific-Python SPECS. +Python 2.7 support was dropped starting from DIPY 1.0.0

+ + + + + + + + + + + + + + + + + + + + + + + + + + +

Date

Pythons supported

2018

Py2.7, Py3.4+ (DIPY 0.16.x is the last release to support Python 2.7)

2019

Py3.5+

mid-2020

Py3.6+

2022

Py3.7+

mid-2023

Py3.8+

2024

Py3.9+

+
+
+

NumPy#

+

While DIPY relies on NumPy, its releases are not bound to specific NumPy +releases. Instead, DIPY strives for compatibility with at least the four +preceding releases of NumPy. This approach necessitates writing DIPY using +features common to all these versions, rather than relying solely on the +latest NumPy features [1].

+

The table provided illustrates the compatible NumPy versions for each major +Python release.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

DIPY version

Python versions

NumPy versions

0.16.0

2.7, >=3.4, <=3.7

>=1.8.2, <= 1.16.x

1.0.0

>=3.5, <=3.7

>=1.13.3, <= 1.16.x

1.1.0/1

>=3.5, <=3.8

>=1.13.3, <= 1.17.3

1.2.0

>=3.6, <=3.8

>=1.14.5, <= 1.17.3

1.3.0

>=3.6, <=3.8

>=1.14.5, <1.17.3

1.4.0/1

>=3.6, <=3.9

>=1.14.5, <1.20.x

1.5.0

>=3.7, <=3.10

>=1.16.x, <1.23.0

1.6.0

>=3.7, <=3.11

>=1.16.x, <1.24.0

1.7.0

>=3.8, <=3.11

>=1.19.5, <1.24.0

1.8.0

>=3.8, <=3.12

>=1.19.5, <1.26.0

1.9.0

>=3.9, <3.12

>=1.21.6, <1.27.0

+
+

Note

+

The table above is not exhaustive. In specific cases, such as a +particular architecture, these requirements could vary.

+
+
+
+

Compilers#

+

Building DIPY requires compilers for C as well as the python transpilers +Cython.

+

To maintain compatibility with a large number of platforms & setups, especially +where using the official wheels (or other distribution channels like Anaconda +or conda-forge) is not possible, DIPY tries to keep compatibility with older +compilers, on platforms that have not yet reached their official end-of-life.

+

As explained in more detail below, the current minimal compiler versions are:

+ + + + + + + + + + + + + + + + + + + + + + + + + +

Compiler

Default Platform (tested)

Secondary Platform (untested)

Minimal Version

GCC

Linux

AIX, Alpine Linux, OSX

GCC 8.x

LLVM

OSX

Linux, FreeBSD, Windows

LLVM 10.x

MSVC

Windows

    +
  • +
+

Visual Studio 2019 (vc142)

+

Note that the lower bound for LLVM is not enforced. Older versions should +work, but no version below LLVM 12 is tested regularly during development. +Please file an issue if you encounter a problem during compilation.

+
+

Official Builds#

+

Currently, DIPY wheels are being built as follows:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Platform

CI Base Images [2] [3] [4]

Compilers

Comment

Linux x86

ubuntu-22.04

GCC 10.2.1

cibuildwheel

Linux arm

docker-builder-arm64

GCC 11.3.0

cibuildwheel

OSX x86

macOS-11

clang-13

cibuildwheel

OSX arm

macos-monterey-xcode:14

clang-13.1.6

cibuildwheel

Windows

windows-2019

Microsoft Visual 2019 (14.20)

cibuildwheel

+
+
+
+
+

Testing and Benchmarking#

+

Testing and benchmarking require recent versions of:

+ + + + + + + + + + + + + + + + + +

Tool

Version

URL

pytest

Recent

https://docs.pytest.org/en/latest/

asv (airspeed velocity)

Recent

https://asv.readthedocs.io/

+
+
+

Building the Documentation#

+ + + + + + + + + + + + + + + + + + + + + + + + + + +

Tool

Version

Sphinx

Whatever recent versions work. >= 6.0.

GRG Sphinx theme

Whatever recent versions work. >= 0.3.1.

Sphinx-Design

Whatever recent versions work. >= 0.5.0.

numpydoc

Whatever recent versions work. >= 1.6.0.

Sphinx-Gallery

Whatever recent versions work. >= 0.15.0.

Sphinxcontrib-bibtex

Whatever recent versions work. >= 2.6.1

+
+

Note

+

Developer Note: The documentation build might require additional libraries +based on the examples provided. Specifically, the versions of “numpy” and +“nibabel” needed have implications for the Python docstring examples.

+

It’s essential for these examples to execute seamlessly in both the +documentation build environment and any supported versions of “numpy/nibabel” +that users might utilize with this DIPY release.

+
+
+
+

Packaging#

+

A Recent version of:

+ + + + + + + + + + + + + + + + + + + + + +

Tool

Version

URL

meson-python

Recent

https://meson-python.readthedocs.io/en/latest/

wheel

Recent

https://pythonwheels.com

cibuildwheel

Recent

https://cibuildwheel.readthedocs.io/en/stable/

+

A guide to making a DIPY release contain information on making and distributing a +DIPY release.

+
+
+

References#

+ +
+
+ + +
+ + + + + +
+ + + + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/examples_built/sg_execution_times.html b/1.8.0/examples_built/sg_execution_times.html new file mode 100644 index 00000000..c072d626 --- /dev/null +++ b/1.8.0/examples_built/sg_execution_times.html @@ -0,0 +1,1139 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
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+ +
+ +
+ + + + +
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+ + +
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+ + + + + +
+ +
+

Computation times#

+

00:00.000 total execution time for 0 files from examples_built:

+
+ + + + + + + + + + + + + + + + + +

Example

Time

Mem (MB)

N/A

N/A

N/A

+
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+ + +
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+ +
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+ +
+ +
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+
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+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/recipes.html b/1.8.0/recipes.html new file mode 100644 index 00000000..1ff07060 --- /dev/null +++ b/1.8.0/recipes.html @@ -0,0 +1,1159 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
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+ +
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+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +
+

Recipes#

+

How do I do X in DIPY? This page contains a collection of recipes that will +help you quickly resolve common basic/advanced operation. If you have a question +that is not answered here, please ask on the dipy discussions or even better, +answer it yourself and contribute to the documentation!

+
+ +How do I convert my tractograms?
+
+
+
+
+

We recommend to look at the tutorials Streamline File Formats

+
from dipy.io.streamline import load_tractogram, save_tractogram
+
+# convert from fib to trk
+my_fib_file_path = '/<my_folder>/<my_path>/my_tractogram.fib'
+my_trk_file_path = '/<my_folder>/<my_path>/my_tractogram.trk'
+my_trk = load_tractogram(my_fib_file_path, 'same')
+save_tractogram(my_trk.streamlines, my_trk_file_path, 'same')
+
+
+
+
+ +How do I convert my Spherical Harmonics from DIPY to MRTRIX3?
+
+
+
+
+

*Available only on master branch. See this thread for more information.

+
from dipy.reconst.shm import convert_sh
+convert_sh('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz')
+
+
+
+
+ +How do I convert my tensors from DIPY to FSL?
+
+
+
+
+

*Available only on master branch

+
from dipy.io import convert_tensor
+convert_tensor('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz')
+
+
+
+
+ + +
+ + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/reference_cmd/dipy_buan_shapes.html b/1.8.0/reference_cmd/dipy_buan_shapes.html new file mode 100644 index 00000000..e15df46e --- /dev/null +++ b/1.8.0/reference_cmd/dipy_buan_shapes.html @@ -0,0 +1,1181 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
+

dipy_buan_shapes#

+
+

Usage#

+

dipy_buan_shapes [-h] [–clust_thr [float …]] [–threshold float] [–out_dir str] subject_folder

+

Workflow of bundle analytics.

+

Applies bundle shape similarity analysis on bundles of subjects and saves the results in a directory specified by out_dir.

+
+
+

Positional Arguments#

+
+

subject_folder Path to the input subject folder. This path may contain wildcards to process multiple inputs at once.

+
+
+
options:
+
-h, --help
+

show this help message and exit

+
+
+
+
–clust_thr [float …]

list of bundle clustering thresholds used in QuickBundlesX.

+
+
+
+
--threshold float
+

Bundle shape similarity threshold.

+
+
+
+
+
+
+

Output Arguments(Optional)#

+
+
+
--out_dir str
+

Output directory. (default current directory)

+
+
+
+
+
+

References#

+
+
+[Chandio2020] +

Chandio, B.Q., Risacher, S.L., Pestilli, F.,Bullock, D., Yeh, FC., Koudoro, S., Rokem, A., Harezlak, J., andGaryfallidis, E. Bundle analytics, a computational framework forinvestigating the shapes and profiles of brain pathways acrosspopulations. Sci Rep 10, 17149 (2020)

+
+
+

Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.

+
+
+ + +
+ + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ + + +
+ + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/1.8.0/release_notes/release1.8.html b/1.8.0/release_notes/release1.8.html new file mode 100644 index 00000000..4a5cfffb --- /dev/null +++ b/1.8.0/release_notes/release1.8.html @@ -0,0 +1,1533 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + +
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+ + + + + +
+ +
+

Release notes for DIPY version 1.8#

+

GitHub stats for 2023/04/23 - 2023/12/13 (tag: 1.7.0)

+

These lists are automatically generated, and may be incomplete or contain duplicates.

+

The following 28 authors contributed 733 commits.

+
    +
  • Ariel Rokem

  • +
  • Atharva Shah

  • +
  • Bramsh Qamar

  • +
  • Charles Poirier

  • +
  • Dimitri Papadopoulos

  • +
  • Eleftherios Garyfallidis

  • +
  • Emmanuelle Renauld

  • +
  • Eric Larson

  • +
  • Francois Rheault

  • +
  • Gabriel Girard

  • +
  • Javier Guaje

  • +
  • John Kruper

  • +
  • Jon Haitz Legarreta Gorroño

  • +
  • Jong Sung Park

  • +
  • Maharshi Gor

  • +
  • Michael R. Crusoe

  • +
  • Nicolas Delinte

  • +
  • Paul Camacho

  • +
  • Philippe Karan

  • +
  • Rafael Neto Henriques

  • +
  • Sam Coveney

  • +
  • Samuel St-Jean

  • +
  • Serge Koudoro

  • +
  • Shilpi Prasad

  • +
  • Theodore Ni

  • +
  • Vara Lakshmi Bayanagari

  • +
  • dependabot[bot]

  • +
  • Étienne Mollier

  • +
+

We closed a total of 327 issues, 130 pull requests and 197 regular issues; +this is the full list (generated with the script +tools/github_stats.py):

+

Pull Requests (129):

+
    +
  • PR #3009: [DOC] Update installation instruction [ci skip]

  • +
  • PR #2999: TEST: Set explicitly CLARABEL as the CVXPY solver

  • +
  • PR #2943: BF: Fix bundlewarp shape analysis profile values for all False mask

  • +
  • PR #2992: RGB support for images

  • +
  • PR #2989: BF: Mask 1 values in leveraged, residual matrix computation

  • +
  • PR #3007: [RF] Define minimum version for some optional packages

  • +
  • PR #3006: [NF] Introduce minimum version in optional_package

  • +
  • PR #3002: [RF] Improve scripts and import management

  • +
  • PR #3005: Bump actions/setup-python from 4 to 5

  • +
  • PR #3004: TEST: Check and filter PCA dimensionality problem warning

  • +
  • PR #2996: RF: Fix b0 threshold warnings

  • +
  • PR #2995: [MTN] remove custom module _importlib

  • +
  • PR #2998: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test

  • +
  • PR #3001: RF: Create PCA denoising utils methods

  • +
  • PR #3000: RF: Prefer raising sklearn package warnings when required

  • +
  • PR #2997: TEST: Filter warning about resorting to OLS fitting method

  • +
  • PR #2991: MTN: fix byte swap ordering for numpy 2.0

  • +
  • PR #2987: STYLE: Make cvxpy-dependent test checking consistent in test_mcsd

  • +
  • PR #2990: STYLE: Use .astype() on uninitialized array casting

  • +
  • PR #2984: DOC: Miscellaneous documentation improvements

  • +
  • PR #2988: STYLE: Remove unused import in dipy/core/gradients.py

  • +
  • PR #2985: Bump conda-incubator/setup-miniconda from 2 to 3

  • +
  • PR #2986: DOC: Fix typos and grammar in lcr_matrix function documentation

  • +
  • PR #2983: STYLE: Fix boolean variable negation warnings

  • +
  • PR #2981: [MTN] replace the deprecated sctypes

  • +
  • PR #2980: [FIX] int_t to npy_intp

  • +
  • PR #2978: DOC: Fix issue template [ci skip]

  • +
  • PR #2976: [MTN] Update index url for PRE-Wheels dependencies

  • +
  • PR #2975: connectivity_matrix code speed up

  • +
  • PR #2715: Enable building DIPY with Meson

  • +
  • PR #2964: RF: Moving to numpy.random.Generator from numpy.random

  • +
  • PR #2963: NF: Updating EVAC+ model and adding util function

  • +
  • PR #2974: [MTN] Disable github check annotations

  • +
  • PR #2956: Adding support for btens to multi_shell_fiber_response function

  • +
  • PR #2969: bugfix for –force issue

  • +
  • PR #2967: Feature/opacity checkbox

  • +
  • PR #2966: volume slider fix

  • +
  • PR #2958: TEST: Filter legacy SH bases warnings in bootstrap direction getter test

  • +
  • PR #2944: [DOC] Remove ..figure directive in examples

  • +
  • PR #2961: fixes for pep8 in previous PR

  • +
  • PR #2922: synchronized-slicers for same size

  • +
  • PR #2924: Additional check for horizon

  • +
  • PR #2957: STYLE: Fix typo in msdki reconstruction test name

  • +
  • PR #2941: TEST: Fix NumPy array to scalar value conversion warning

  • +
  • PR #2932: OPT - Optimized pmfgen

  • +
  • PR #2929: Stabilizing some test functions with set random seeds

  • +
  • PR #2954: TEST: Bring back Python 3.8 testing to GHA workflows

  • +
  • PR #2946: RF: Refactor duplicate code in qtdmri to mapmri coeff computation

  • +
  • PR #2947: RF - BootDirectionGetter

  • +
  • PR #2945: DOC: Fix miscellaneous docstrings

  • +
  • PR #2940: TEST: Filter legacy SH bases warnings in PTT direction getter test

  • +
  • PR #2938: TEST: Adding random generator with seed to icm tests

  • +
  • PR #2942: OPT: Delegate to NumPy creating a random matrix

  • +
  • PR #2939: DOC: Update jhlegarreta affiliation in developers

  • +
  • PR #2933: fixed bug with fit extra returns

  • +
  • PR #2930: Update of the tutorial apply image-based registration to streamlines

  • +
  • PR #2759: TRX integration

  • +
  • PR #2923: [DOC] Large documentation update

  • +
  • PR #2825: NF - add initial directions to local tracking

  • +
  • PR #2892: BF - fixed random generator seed value too large to convert to int error

  • +
  • PR #2926: ENH: MSMT CSD module unique b-val tolerance parameter improvements

  • +
  • PR #2927: DOC: Fix package name in documentation config file comment

  • +
  • PR #2925: STYLE: Fix miscellaneous Numpy warnings

  • +
  • PR #2781: Small fixes in functions

  • +
  • PR #2910: STYLE: f-strings

  • +
  • PR #2921: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject

  • +
  • PR #2906: [FIX] Pin scipy for the conda failing CI’s

  • +
  • PR #2920: Mark Python3 files as such

  • +
  • PR #2919: fix various grammar errors

  • +
  • PR #2915: DOC: http://https://

  • +
  • PR #2916: Build(deps): Bump codespell-project/actions-codespell from 1 to 2

  • +
  • PR #2914: GitHub Actions

  • +
  • PR #2816: Correlation Tensor Imaging

  • +
  • PR #2912: MAINT: the symbol for second is s, not sec.

  • +
  • PR #2902: Short import for horizon

  • +
  • PR #2904: Apply refurb suggestions

  • +
  • PR #2899: DOC: Fix typos newly found by codespell

  • +
  • PR #2891: Apply pyupgrade suggestions

  • +
  • PR #2898: Remove zip operation in transform_tracking_output

  • +
  • PR #2897: BF: Bug when downloading hbn data.

  • +
  • PR #2893: Remove consecutive duplicate words

  • +
  • PR #2894: Get rid of trailing spaces in text files

  • +
  • PR #2889: Apply pyupgrade suggestions

  • +
  • PR #2888: Fix typos newly found by codespell

  • +
  • PR #2887: Update shm.py

  • +
  • PR #2814: [Fix] Horizon: Binary image loading

  • +
  • PR #2885: [ENH] Add minimum length to streamline generator

  • +
  • PR #2875: Increased PTT performances

  • +
  • PR #2879: Add fetcher for a sample CTI dataset

  • +
  • PR #2882: Change license_file to license_files in setup.cfg

  • +
  • PR #2804: Adding diffusion data descriptions from references to reconstruction table

  • +
  • PR #2730: Fix weighted Jacobians, return extra fit data, add adjacency function

  • +
  • PR #2821: NF - added pft min wm parameter

  • +
  • PR #2876: Introduction of pydata theme for sphinx

  • +
  • PR #2846: Vara’s Week 8 & Week 9 blog

  • +
  • PR #2870: Vara’s Week 12 and Week 13 blog

  • +
  • PR #2865: Shilpi’s Week0&Week1 combined

  • +
  • PR #2868: Submitting Week13.rst file

  • +
  • PR #2871: Corrected paths to static files

  • +
  • PR #2863: Shilpi’s Week12 Blog.

  • +
  • PR #2856: Adding Week 11 Blog

  • +
  • PR #2849: Shilpi’s 10th Blog

  • +
  • PR #2847: Pushing Week 8 + 9 blog

  • +
  • PR #2836: Shilpi’s Week 5 blog

  • +
  • PR #2864: Change internal space/origin when using sft.to_x() with an empty sft.

  • +
  • PR #2806: BF - initial backward orientation of local tracking

  • +
  • PR #2862: Vara’s Week 10 & Week 11 blog

  • +
  • PR #2843: Pushing 7th_blog

  • +
  • PR #2841: Vara’s Week 6 & Week 7 blog

  • +
  • PR #2835: Vara’s week 5 blog

  • +
  • PR #2829: Pushing 3rd blog

  • +
  • PR #2828: Vara’s week 3 blog

  • +
  • PR #2860: Updates HCP fetcher dataset_description to be compatible with current BIDS

  • +
  • PR #2831: Vara’s week 4 blog

  • +
  • PR #2833: Pushing 4thBlog

  • +
  • PR #2840: Shilpi’s Week6 Blog

  • +
  • PR #2839: make order_from_ncoef return an int

  • +
  • PR #2844: doc/tools/: fix trailing dot in version number.

  • +
  • PR #2832: BundleWarp: added tutorial and fixed a small bug

  • +
  • PR #2818: Vara’s week 0 blog

  • +
  • PR #2823: submitting clearn PR for 2nd blog

  • +
  • PR #2813: First Blog

  • +
  • PR #2808: [DOC] Fix cross referencing

  • +
  • PR #2798: Move evac+ to new module nn

  • +
  • PR #2797: remove Nibabel InTemporaryDirectory

  • +
  • PR #2800: Remove the Deprecating nisext

  • +
  • PR #2795: bump dependencies minimal version

  • +
  • PR #2792: Add patch_radius parameter to Patch2Self denoise workflow

  • +
  • PR #2761: [UPCOMING] Release 1.7.0 - workshop release

  • +
+

Issues (197):

+
    +
  • #3009: [DOC] Update installation instruction [ci skip]

  • +
  • #2999: TEST: Set explicitly CLARABEL as the CVXPY solver

  • +
  • #2943: BF: Fix bundlewarp shape analysis profile values for all False mask

  • +
  • #2992: RGB support for images

  • +
  • #2989: BF: Mask 1 values in leveraged, residual matrix computation

  • +
  • #3007: [RF] Define minimum version for some optional packages

  • +
  • #3006: [NF] Introduce minimum version in optional_package

  • +
  • #1256: script path can not be found on OSX

  • +
  • #3002: [RF] Improve scripts and import management

  • +
  • #3005: Bump actions/setup-python from 4 to 5

  • +
  • #3004: TEST: Check and filter PCA dimensionality problem warning

  • +
  • #2996: RF: Fix b0 threshold warnings

  • +
  • #2995: [MTN] remove custom module _importlib

  • +
  • #2998: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test

  • +
  • #3001: RF: Create PCA denoising utils methods

  • +
  • #3000: RF: Prefer raising sklearn package warnings when required

  • +
  • #2997: TEST: Filter warning about resorting to OLS fitting method

  • +
  • #2979: Prerelease wheels not NumPy 2.0.0.dev compatible

  • +
  • #2991: MTN: fix byte swap ordering for numpy 2.0

  • +
  • #2987: STYLE: Make cvxpy-dependent test checking consistent in test_mcsd

  • +
  • #2990: STYLE: Use .astype() on uninitialized array casting

  • +
  • #2984: DOC: Miscellaneous documentation improvements

  • +
  • #2988: STYLE: Remove unused import in dipy/core/gradients.py

  • +
  • #2985: Bump conda-incubator/setup-miniconda from 2 to 3

  • +
  • #2986: DOC: Fix typos and grammar in lcr_matrix function documentation

  • +
  • #2905: base tests

  • +
  • #2983: STYLE: Fix boolean variable negation warnings

  • +
  • #2981: [MTN] replace the deprecated sctypes

  • +
  • #2980: [FIX] int_t to npy_intp

  • +
  • #2978: DOC: Fix issue template [ci skip]

  • +
  • #2976: [MTN] Update index url for PRE-Wheels dependencies

  • +
  • #2975: connectivity_matrix code speed up

  • +
  • #2514: Reshape our packaging system

  • +
  • #2715: Enable building DIPY with Meson

  • +
  • #2964: RF: Moving to numpy.random.Generator from numpy.random

  • +
  • #2736: dipy_horizon needs –force option if there is tmp.png

  • +
  • #2960: add type annotation in io module

  • +
  • #2803: Type annotations integration

  • +
  • #2963: NF: Updating EVAC+ model and adding util function

  • +
  • #2974: [MTN] Disable github check annotations

  • +
  • #2956: Adding support for btens to multi_shell_fiber_response function

  • +
  • #2969: bugfix for –force issue

  • +
  • #2967: Feature/opacity checkbox

  • +
  • #2965: Pip installation issues with python 3.12

  • +
  • #2968: Pip installation issues with python 3.12

  • +
  • #2966: volume slider fix

  • +
  • #2958: TEST: Filter legacy SH bases warnings in bootstrap direction getter test

  • +
  • #2801: Some left-overs from sphinx-gallery conversion

  • +
  • #2944: [DOC] Remove ..figure directive in examples

  • +
  • #2961: fixes for pep8 in previous PR

  • +
  • #2922: synchronized-slicers for same size

  • +
  • #2878: DIPY reinstall doesn’t automatically update needed dependencies

  • +
  • #2924: Additional check for horizon

  • +
  • #2957: STYLE: Fix typo in msdki reconstruction test name

  • +
  • #2941: TEST: Fix NumPy array to scalar value conversion warning

  • +
  • #2932: OPT - Optimized pmfgen

  • +
  • #2929: Stabilizing some test functions with set random seeds

  • +
  • #2954: TEST: Bring back Python 3.8 testing to GHA workflows

  • +
  • #2953: [WIP] Nlmeans update

  • +
  • #2946: RF: Refactor duplicate code in qtdmri to mapmri coeff computation

  • +
  • #2955: set_number_of_points function not found for dipy 1.7.0

  • +
  • #2947: RF - BootDirectionGetter

  • +
  • #2952: Delete dipy/denoise/nlmeans.py

  • +
  • #2949: HBN fetcher failed

  • +
  • #2945: DOC: Fix miscellaneous docstrings

  • +
  • #718: Create an example of multi b-value SFM

  • +
  • #2523: Doc generation failed

  • +
  • #2940: TEST: Filter legacy SH bases warnings in PTT direction getter test

  • +
  • #2928: test_icm_square failing on and off

  • +
  • #2938: TEST: Adding random generator with seed to icm tests

  • +
  • #2942: OPT: Delegate to NumPy creating a random matrix

  • +
  • #2939: DOC: Update jhlegarreta affiliation in developers

  • +
  • #2933: fixed bug with fit extra returns

  • +
  • #2936: Automatic Fiber Bundle Extraction with RecoBundles in DIPY 1.7 broken?

  • +
  • #2934: demo code not working

  • +
  • #2787: Adds a pyproject file.

  • +
  • #2786: “Image based streamlines_registration: unable to warp streamlines into template”

  • +
  • #2400: Applying image-based deformations to streamlines example

  • +
  • #2703: Image based streamlines_registration: unable to warp streamlines into template space

  • +
  • #2930: Update of the tutorial apply image-based registration to streamlines

  • +
  • #2759: TRX integration

  • +
  • #2931: Add caption to sphinx gallery figure

  • +
  • #2560: MCSD Tutorial failed with cvxpy>=1.1.15

  • +
  • #2794: Add a search box to the DIPY documentation

  • +
  • #2815: Reconstruction table of content doesn’t connect to MAP+

  • +
  • #2923: [DOC] Large documentation update

  • +
  • #2790: DTI fitting function with NLLS method raises an error.

  • +
  • #2872: Website image (not showing up or wrong tag showing)

  • +
  • #2884: WIP: trx integration

  • +
  • #2825: NF - add initial directions to local tracking

  • +
  • #2892: BF - fixed random generator seed value too large to convert to int error

  • +
  • #2926: ENH: MSMT CSD module unique b-val tolerance parameter improvements

  • +
  • #2927: DOC: Fix package name in documentation config file comment

  • +
  • #2925: STYLE: Fix miscellaneous Numpy warnings

  • +
  • #2777: Error using dipy_motion_correct

  • +
  • #2781: Small fixes in functions

  • +
  • #2648: Issues with dipy_align_syn

  • +
  • #2900: format → f-strings?

  • +
  • #2910: STYLE: f-strings

  • +
  • #2921: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject

  • +
  • #2906: [FIX] Pin scipy for the conda failing CI’s

  • +
  • #2920: Mark Python3 files as such

  • +
  • #2919: fix various grammar errors

  • +
  • #2915: DOC: http://https://

  • +
  • #2896: Interactive examples for dipy

  • +
  • #2901: patch2self question

  • +
  • #2916: Build(deps): Bump codespell-project/actions-codespell from 1 to 2

  • +
  • #2914: GitHub Actions

  • +
  • #2816: Correlation Tensor Imaging

  • +
  • #2912: MAINT: the symbol for second is s, not sec.

  • +
  • #2913: DOC: fix links

  • +
  • #2902: Short import for horizon

  • +
  • #2908: Voxel correspondance between Non-Linearly aligned Volumes

  • +
  • #2890: Attempt to fix error in conda jobs

  • +
  • #2907: Temp - Gab PR

  • +
  • #2904: Apply refurb suggestions

  • +
  • #2903: Typo in the skills required section (Project 2) of Project Ideas

  • +
  • #2899: DOC: Fix typos newly found by codespell

  • +
  • #2891: Apply pyupgrade suggestions

  • +
  • #2898: Remove zip operation in transform_tracking_output

  • +
  • #2897: BF: Bug when downloading hbn data.

  • +
  • #2893: Remove consecutive duplicate words

  • +
  • #2894: Get rid of trailing spaces in text files

  • +
  • #2889: Apply pyupgrade suggestions

  • +
  • #2888: Fix typos newly found by codespell

  • +
  • #2887: Update shm.py

  • +
  • #2814: [Fix] Horizon: Binary image loading

  • +
  • #2885: [ENH] Add minimum length to streamline generator

  • +
  • #1372: Change direction getter dictionary keys from floats[3] to int

  • +
  • #2805: Incorrect initial direction for the backward segment of local tracking

  • +
  • #2875: Increased PTT performances

  • +
  • #2883: Adding last,Week14Blog

  • +
  • #2879: Add fetcher for a sample CTI dataset

  • +
  • #2769: DOC example for data_per_streamline usage

  • +
  • #2774: Added a tutorial in doc folder for saving labels.

  • +
  • #2882: Change license_file to license_files in setup.cfg

  • +
  • #2881: Adding fetcher in the test_file for #2879

  • +
  • #2867: Bug in PFT when changing the random function

  • +
  • #2804: Adding diffusion data descriptions from references to reconstruction table

  • +
  • #2820: fixed bug for nlls fitting

  • +
  • #2746: Weighted Non-Linear Fitting may be wrong

  • +
  • #2730: Fix weighted Jacobians, return extra fit data, add adjacency function

  • +
  • #2821: NF - added pft min wm parameter

  • +
  • #2876: Introduction of pydata theme for sphinx

  • +
  • #2846: Vara’s Week 8 & Week 9 blog

  • +
  • #2870: Vara’s Week 12 and Week 13 blog

  • +
  • #2865: Shilpi’s Week0&Week1 combined

  • +
  • #2868: Submitting Week13.rst file

  • +
  • #2871: Corrected paths to static files

  • +
  • #2873: Motion estimate

  • +
  • #2863: Shilpi’s Week12 Blog.

  • +
  • #2856: Adding Week 11 Blog

  • +
  • #2849: Shilpi’s 10th Blog

  • +
  • #2847: Pushing Week 8 + 9 blog

  • +
  • #2836: Shilpi’s Week 5 blog

  • +
  • #2864: Change internal space/origin when using sft.to_x() with an empty sft.

  • +
  • #2806: BF - initial backward orientation of local tracking

  • +
  • #2862: Vara’s Week 10 & Week 11 blog

  • +
  • #2843: Pushing 7th_blog

  • +
  • #2841: Vara’s Week 6 & Week 7 blog

  • +
  • #2835: Vara’s week 5 blog

  • +
  • #2829: Pushing 3rd blog

  • +
  • #2828: Vara’s week 3 blog

  • +
  • #2860: Updates HCP fetcher dataset_description to be compatible with current BIDS

  • +
  • #2831: Vara’s week 4 blog

  • +
  • #1883: Interesting dataset for linear, planar, spherical encoding

  • +
  • #2491: ENH: Extend Horizon to visualize 2 volumes simultaneously

  • +
  • #2812: Patch2self denoising followed by topup and eddy corrections worsens distortions in the orbitofrontal region

  • +
  • #2833: Pushing 4thBlog

  • +
  • #2858: Odffp

  • +
  • #2857: Odffp

  • +
  • #2840: Shilpi’s Week6 Blog

  • +
  • #2838: Reconstruction issues using MAP-MRI model (RTOP, RTAP, RTPP)

  • +
  • #2845: MAP ODF issues

  • +
  • #2851: How to use “synb0” in Dipy for preprocessing

  • +
  • #2839: make order_from_ncoef return an int

  • +
  • #2844: doc/tools/: fix trailing dot in version number.

  • +
  • #2827: BundleWarp CLI Tutorial - Missing from Website

  • +
  • #2832: BundleWarp: added tutorial and fixed a small bug

  • +
  • #1627: WIP - NF - Tracking with Initial Directions and other tracking parameters

  • +
  • #2818: Vara’s week 0 blog

  • +
  • #2823: submitting clearn PR for 2nd blog

  • +
  • #2822: Pushing 2nd blog,

  • +
  • #2813: First Blog

  • +
  • #2808: [DOC] Fix cross referencing

  • +
  • #2798: Move evac+ to new module nn

  • +
  • #2797: remove Nibabel InTemporaryDirectory

  • +
  • #2706: FYI: Deprecating nisext in nibabel

  • +
  • #2800: Remove the Deprecating nisext

  • +
  • #2689: Installing DIPY fails with current conda version

  • +
  • #2718: StatefulTractogram

  • +
  • #2795: bump dependencies minimal version

  • +
  • #2747: Cannot set dipy as a dependency

  • +
  • #2791: Update Patch2Self CLI

  • +
  • #2792: Add patch_radius parameter to Patch2Self denoise workflow

  • +
  • #2771: BUG: Missing Python 3.11 macOS wheels

  • +
  • #2761: [UPCOMING] Release 1.7.0 - workshop release

  • +
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Computation times#

+

02:13.835 total execution time for 90 files from all galleries:

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Example

Time

Mem (MB)

Crossing invariant fiber response function with FORECAST model (examples_revamped\reconstruction\reconst_forecast.py)

01:16.956

0.0

Visualize bundles and metrics on bundles (examples_revamped\visualization\viz_bundles.py)

00:28.440

0.0

Using the free water elimination model to remove DTI free water contamination (examples_revamped\reconstruction\reconst_fwdti.py)

00:16.550

0.0

Diffeomorphic Registration with binary and fuzzy images (examples_revamped\registration\register_binary_fuzzy.py)

00:11.889

0.0

Crossing-preserving contextual enhancement (examples_revamped\contextual_enhancement\contextual_enhancement.py)

00:00.000

0.0

Fiber to bundle coherence measures (examples_revamped\contextual_enhancement\fiber_to_bundle_coherence.py)

00:00.000

0.0

Linear fascicle evaluation (LiFE) (examples_revamped\fiber_tracking\linear_fascicle_evaluation.py)

00:00.000

0.0

Surface seeding for tractography (examples_revamped\fiber_tracking\surface_seed.py)

00:00.000

0.0

Bootstrap and Closest Peak Direction Getters Example (examples_revamped\fiber_tracking\tracking_bootstrap_peaks.py)

00:00.000

0.0

An introduction to the Deterministic Maximum Direction Getter (examples_revamped\fiber_tracking\tracking_deterministic.py)

00:00.000

0.0

Introduction to Basic Tracking (examples_revamped\fiber_tracking\tracking_introduction_eudx_1.py)

00:00.000

0.0

Particle Filtering Tractography (examples_revamped\fiber_tracking\tracking_pft.py)

00:00.000

0.0

An introduction to the Probabilistic Direction Getter (examples_revamped\fiber_tracking\tracking_probabilistic.py)

00:00.000

0.0

Parallel Transport Tractography (examples_revamped\fiber_tracking\tracking_ptt.py)

00:00.000

0.0

Tracking with Robust Unbiased Model-BAsed Spherical Deconvolution (RUMBA-SD) (examples_revamped\fiber_tracking\tracking_rumba.py)

00:00.000

0.0

Tracking with the Sparse Fascicle Model (examples_revamped\fiber_tracking\tracking_sfm.py)

00:00.000

0.0

Using Various Stopping Criterion for Tractography (examples_revamped\fiber_tracking\tracking_stopping_criterion.py)

00:00.000

0.0

Read/Write streamline files (examples_revamped\file_formats\streamline_formats.py)

00:00.000

0.0

Parallel reconstruction using Q-Ball (examples_revamped\multiprocessing\reconst_csa_parallel.py)

00:00.000

0.0

Parallel reconstruction using CSD (examples_revamped\multiprocessing\reconst_csd_parallel.py)

00:00.000

0.0

Brain segmentation with median_otsu (examples_revamped\preprocessing\brain_extraction_dwi.py)

00:00.000

0.0

Denoise images using Adaptive Soft Coefficient Matching (ASCM) (examples_revamped\preprocessing\denoise_ascm.py)

00:00.000

0.0

Suppress Gibbs oscillations (examples_revamped\preprocessing\denoise_gibbs.py)

00:00.000

0.0

Denoise images using Local PCA via empirical thresholds (examples_revamped\preprocessing\denoise_localpca.py)

00:00.000

0.0

Denoise images using the Marcenko-Pastur PCA algorithm (examples_revamped\preprocessing\denoise_mppca.py)

00:00.000

0.0

Denoise images using Non-Local Means (NLMEANS) (examples_revamped\preprocessing\denoise_nlmeans.py)

00:00.000

0.0

Patch2Self: Self-Supervised Denoising via Statistical Independence (examples_revamped\preprocessing\denoise_patch2self.py)

00:00.000

0.0

Gradients and Spheres (examples_revamped\preprocessing\gradients_spheres.py)

00:00.000

0.0

Between-volumes Motion Correction on DWI datasets (examples_revamped\preprocessing\motion_correction.py)

00:00.000

0.0

Noise estimation using PIESNO (examples_revamped\preprocessing\piesno.py)

00:00.000

0.0

Reslice diffusion datasets (examples_revamped\preprocessing\reslice_datasets.py)

00:00.000

0.0

SNR estimation for Diffusion-Weighted Images (examples_revamped\preprocessing\snr_in_cc.py)

00:00.000

0.0

Getting started with DIPY (examples_revamped\quick_start\quick_start.py)

00:00.000

0.0

Introduction to Basic Tracking (examples_revamped\quick_start\tracking_introduction_eudx.py)

00:00.000

0.0

Local reconstruction using the Histological ResDNN (examples_revamped\reconstruction\histology_resdnn.py)

00:00.000

0.0

K-fold cross-validation for model comparison (examples_revamped\reconstruction\kfold_xval.py)

00:00.000

0.0

Reconstruct with Constant Solid Angle (Q-Ball) (examples_revamped\reconstruction\reconst_csa.py)

00:00.000

0.0

Reconstruction with Constrained Spherical Deconvolution (examples_revamped\reconstruction\reconst_csd.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the correlation tensor model (examples_revamped\reconstruction\reconst_cti.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the kurtosis tensor model (examples_revamped\reconstruction\reconst_dki.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the WMTI model (examples_revamped\reconstruction\reconst_dki_micro.py)

00:00.000

0.0

Reconstruct with Diffusion Spectrum Imaging (examples_revamped\reconstruction\reconst_dsi.py)

00:00.000

0.0

Calculate DSI-based scalar maps (examples_revamped\reconstruction\reconst_dsi_metrics.py)

00:00.000

0.0

DSI Deconvolution vs DSI (examples_revamped\reconstruction\reconst_dsid.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the Tensor model (examples_revamped\reconstruction\reconst_dti.py)

00:00.000

0.0

Reconstruct with Generalized Q-Sampling Imaging (examples_revamped\reconstruction\reconst_gqi.py)

00:00.000

0.0

Intravoxel incoherent motion (examples_revamped\reconstruction\reconst_ivim.py)

00:00.000

0.0

Continuous and analytical diffusion signal modelling with MAP-MRI (examples_revamped\reconstruction\reconst_mapmri.py)

00:00.000

0.0

Reconstruction with Multi-Shell Multi-Tissue CSD (examples_revamped\reconstruction\reconst_mcsd.py)

00:00.000

0.0

Mean signal diffusion kurtosis imaging (MSDKI) (examples_revamped\reconstruction\reconst_msdki.py)

00:00.000

0.0

Estimating diffusion time dependent q-space indices using qt-dMRI (examples_revamped\reconstruction\reconst_qtdmri.py)

00:00.000

0.0

Reconstruct with Q-space Trajectory Imaging (QTI) (examples_revamped\reconstruction\reconst_qti.py)

00:00.000

0.0

Applying positivity constraints to Q-space Trajectory Imaging (QTI+) (examples_revamped\reconstruction\reconst_qtiplus.py)

00:00.000

0.0

Reconstruction with Robust and Unbiased Model-BAsed Spherical Deconvolution (examples_revamped\reconstruction\reconst_rumba.py)

00:00.000

0.0

Reconstruction with the Sparse Fascicle Model (examples_revamped\reconstruction\reconst_sfm.py)

00:00.000

0.0

Signal Reconstruction Using Spherical Harmonics (examples_revamped\reconstruction\reconst_sh.py)

00:00.000

0.0

Continuous and analytical diffusion signal modelling with 3D-SHORE (examples_revamped\reconstruction\reconst_shore.py)

00:00.000

0.0

Calculate SHORE scalar maps (examples_revamped\reconstruction\reconst_shore_metrics.py)

00:00.000

0.0

Using the RESTORE algorithm for robust tensor fitting (examples_revamped\reconstruction\restore_dti.py)

00:00.000

0.0

Affine Registration in 3D (examples_revamped\registration\affine_registration_3d.py)

00:00.000

0.0

Affine Registration with Masks (examples_revamped\registration\affine_registration_masks.py)

00:00.000

0.0

Groupwise Bundle Registration (examples_revamped\registration\bundle_group_registration.py)

00:00.000

0.0

Direct Bundle Registration (examples_revamped\registration\bundle_registration.py)

00:00.000

0.0

Nonrigid Bundle Registration with BundleWarp (examples_revamped\registration\bundlewarp_registration.py)

00:00.000

0.0

Applying image-based deformations to streamlines (examples_revamped\registration\streamline_registration.py)

00:00.000

0.0

Symmetric Diffeomorphic Registration in 2D (examples_revamped\registration\syn_registration_2d.py)

00:00.000

0.0

Symmetric Diffeomorphic Registration in 3D (examples_revamped\registration\syn_registration_3d.py)

00:00.000

0.0

Brain segmentation with median_otsu (examples_revamped\segmentation\brain_extraction_dwi_1.py)

00:00.000

0.0

Automatic Fiber Bundle Extraction with RecoBundles (examples_revamped\segmentation\bundle_extraction.py)

00:00.000

0.0

Fast Streamline Search (examples_revamped\segmentation\fast_streamline_search.py)

00:00.000

0.0

Tractography Clustering - Available Features (examples_revamped\segmentation\segment_clustering_features.py)

00:00.000

0.0

Tractography Clustering - Available Metrics (examples_revamped\segmentation\segment_clustering_metrics.py)

00:00.000

0.0

Enhancing QuickBundles with different metrics and features (examples_revamped\segmentation\segment_extending_clustering_framework.py)

00:00.000

0.0

Tractography Clustering with QuickBundles (examples_revamped\segmentation\segment_quickbundles.py)

00:00.000

0.0

Tissue Classification of a T1-weighted Structural Image (examples_revamped\segmentation\tissue_classification.py)

00:00.000

0.0

DSI Deconvolution vs DSI (examples_revamped\simulations\reconst_dsid_1.py)

00:00.000

0.0

DKI MultiTensor Simulation (examples_revamped\simulations\simulate_dki.py)

00:00.000

0.0

MultiTensor Simulation (examples_revamped\simulations\simulate_multi_tensor.py)

00:00.000

0.0

Extracting AFQ tract profiles from segmented bundles (examples_revamped\streamline_analysis\afq_tract_profiles.py)

00:00.000

0.0

BUAN Bundle Assignment Maps Creation (examples_revamped\streamline_analysis\bundle_assignment_maps.py)

00:00.000

0.0

BUAN Bundle Shape Similarity Score (examples_revamped\streamline_analysis\bundle_shape_similarity.py)

00:00.000

0.0

Calculation of Outliers with Cluster Confidence Index (examples_revamped\streamline_analysis\cluster_confidence.py)

00:00.000

0.0

Calculate Path Length Map (examples_revamped\streamline_analysis\path_length_map.py)

00:00.000

0.0

Streamline length and size reduction (examples_revamped\streamline_analysis\streamline_length.py)

00:00.000

0.0

Connectivity Matrices, ROI Intersections and Density Maps (examples_revamped\streamline_analysis\streamline_tools.py)

00:00.000

0.0

Advanced interactive visualization (examples_revamped\visualization\viz_advanced.py)

00:00.000

0.0

Visualization of ROI Surface Rendered with Streamlines (examples_revamped\visualization\viz_roi_contour.py)

00:00.000

0.0

Simple volume slicing (examples_revamped\visualization\viz_slice.py)

00:00.000

0.0

Creating a new combined workflow (examples_revamped\workflows\combined_workflow_creation.py)

00:00.000

0.0

Creating a new workflow. (examples_revamped\workflows\workflow_creation.py)

00:00.000

0.0

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z6YC5q>4x({z?i!iu9sYSM0@R)9K#BBV`iW^ck*V-sVld*m^^yA-9+%W-!nF#;Eum3 zMN-~Z3Vv=4aN4_hCL_b0&_5Z>-a^HWhLoA-N5@KfCU-%ONH1Iv69vr zD_VhF4~B;GGt->R+trd!D6#-=EdH@4$#$c+&a)FYdaUOPf*kI*V8e{koW?0`ap%>I zty!<%>Q&s+x_Lb#!#k%9zgT|M1fIHKmhN)my4Ykj!?0(ru35aIt=)#z9V=IIwmy6D zD9EU#clYCRtK|$0w^^7Jf6Pgmcr$b6v_l<-8RPgg&ebxsLQ0BBy1lK=n! literal 0 HcmV?d00001 diff --git a/dev/_sources/devel/benchmarking.rst.txt b/dev/_sources/devel/benchmarking.rst.txt new file mode 100644 index 00000000..71045f8c --- /dev/null +++ b/dev/_sources/devel/benchmarking.rst.txt @@ -0,0 +1,3 @@ +.. _benchmarking: + +.. include:: ../../benchmarks/README.rst \ No newline at end of file diff --git a/dev/_sources/devel/installation_from_source.rst.txt b/dev/_sources/devel/installation_from_source.rst.txt new file mode 100644 index 00000000..ebb2e9c7 --- /dev/null +++ b/dev/_sources/devel/installation_from_source.rst.txt @@ -0,0 +1,270 @@ +.. _installation-from-source: + +********************** +Installing from source +********************** + +Getting the source +================== + +More likely you will want to get the source repository to be able to follow the +latest changes. In that case, you can use:: + + git clone https://github.com/dipy/dipy.git + +For more information about this see :ref:`following-latest`. + +After you've cloned the repository, you will have a new directory, containing +the DIPY ``pyproject.toml`` file, among others. We'll call this directory - that +contains the ``pyproject.toml`` file - the *DIPY source root directory*. Sometimes +we'll also call it the ```` directory. + +Building and installing +======================= + +Install from source (all operating systems - recommended) +--------------------------------------------------------- + +Change directory into the *DIPY source root directory*. + +To clean your directory from temporary file, use:: + + git clean -fxd + +This command will delete all files not present in your github repository. + +Then, complete your installation by using this command:: + + pip install -r requirements/build.txt + pip install --no-build-isolation --user -e . + +This command will do the following : + - install the requirements for building dipy + - remove the old dipy installation if present + - build dipy + - install dipy locally on your user environment + +.. _install-source-nix: + +Install from source for Unix (e.g Linux, macOS) +----------------------------------------------- + +Change directory into the *DIPY source root directory*. + +First, install some python build packages:: + + pip install -r requirements/build.txt + +Then, to install for the system:: + + pip install dipy + +Or, to build DIPY in the source tree (locally) so you can run the code in the source tree (recommended for following the latest source) run:: + + pip install --no-build-isolation --user -e . + +add the *DIPY source root directory* into your ``PYTHONPATH`` environment variable. Search google for ``PYTHONPATH`` for details or see `python module path`_ for an introduction. + +When adding dipy_ to the ``PYTHONPATH``, we usually add the ``PYTHONPATH`` at +the end of ``~/.bashrc`` or (macOS) ``~/.bash_profile`` so we don't need to +retype it every time. This should look something like:: + + export PYTHONPATH="/home/user_dir/Devel/dipy:\$PYTHONPATH" + +After changing the ``~/.bashrc`` or (macOS) ``~/.bash_profile`` try:: + + source ~/.bashrc + +or:: + + source ~/.bash_profile + +so that you can have immediate access to DIPY_ without needing to +restart your terminal. + + +Ubuntu/Debian +------------- + +:: + + sudo apt-get install python-dev python-setuptools + sudo apt-get install python-numpy python-scipy + sudo apt-get install cython + +then:: + + sudo pip install nibabel + +(we need the latest version of this one - hence ``pip`` rather than +``apt-get``). + +You might want the optional packages too (highly recommended):: + + sudo apt-get install ipython python-h5py python-vtk python-matplotlib + + +Now follow :ref:`install-source-nix`. + +Fedora / Mandriva maybe Redhat +------------------------------ + +Same as above but use yum rather than apt-get when necessary. + +Now follow :ref:`install-source-nix`. + + +Windows +------- + +Anaconda_ is probably the easiest way to install the dependencies that you need. +To build from source, you will also need to install the exact compiler which is +used with your specific version of python. + +For getting this information, type this command in shell like ``cmd`` or Powershell_:: + + python -c "import platform;print(platform.python_compiler())" + +This command should print information of this form:: + + MSC v.1900 64 bit (AMD64) + +Now that you find the relevant compiler, you have to install the VisualStudioBuildTools_ +by respecting the following table:: + + Visual C++ 2008 (9.0) MSC_VER=1500 + Visual C++ 2010 (10.0) MSC_VER=1600 + Visual C++ 2012 (11.0) MSC_VER=1700 + Visual C++ 2013 (12.0) MSC_VER=1800 + Visual C++ 2015 (14.0) MSC_VER=1900 + Visual C++ 2017 (15.0) MSC_VER=1910 + Visual C++ 2019 (16.0) MSC_VER=1920 + Visual C++ 2022 (17.0) MSC_VER=1930 + +After the VisualStudioBuildTools_ installation, restart a command shell and +change directory into the *DIPY source root directory*. + +Start to install the build tools:: + + pip install -r requirements/build.txt + +Then to install into your system:: + + pip install dipy + +To install inplace - so that DIPY is running out of the source code directory:: + + pip install --no-build-isolation --user -e . + +(this is the mode we recommend for following the latest source code). + +If you get an error saying "unable to find vcvarsall.bat" then you need to +check your environment variable ``PATH`` or reinstall VisualStudioBuildTools_. +Setuptools should automatically detect the compiler and use it. + +macOS +----- + +Make sure you have Xcode_ and Anaconda_ installed. + +From here follow the :ref:`install-source-nix` instructions. + +OpenMP with macOS +----------------- +OpenMP_ is a standard library for efficient multithreaded applications. This +is used in DIPY for speeding up many different parts of the library (e.g., denoising +and bundle registration). If you do not have an OpenMP-enabled compiler, you can +still compile DIPY from source using the above instructions, but it might not take +advantage of the multithreaded parts of the code. To be able to compile +DIPY from source with OpenMP on macOS, you will have to do a few more things. First +of all, you will need to install the Homebrew_ package manager. Next, you will need +to install and configure the compiler. You have two options: using the GCC compiler +or the CLANG compiler. This depends on your python installation: + +Under Anaconda +~~~~~~~~~~~~~~~~ + +We recommend to install llvm via Anaconda_. Run the following:: + + conda install -c conda-forge llvm-openmp + +In case the compiler is not detected automatically, you can specify the compiler +by using the environment variable ``CC``. + +Under Homebrew Python or python.org Python +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +If you are already using the Homebrew Python, or the standard python.org Python, +you will need to use the llvm compiler with OMP. Run:: + + brew install llvm + export CC=/usr/local/bin/clang-omp + +Building and installing +~~~~~~~~~~~~~~~~~~~~~~~ +Whether you are using Anaconda_ or Hombrew/python.org Python, you will need to then +run ``pip install dipy``. When you do that, it should now +compile the code with this OpenMP-enabled compiler, and things should go faster! + +Testing +======== + +If you want to run the tests:: + + sudo pip install pytest + +Then, in the terminal from ````:: + + pytest -svv dipy + +You can also run the examples in ``/doc``. + +Documentation +============= + +To build the documentation in HTML in your computer you will need to do:: + + sudo pip install sphinx + +Then change directory to ```` and:: + + cd doc + make clean + make -C . html + +Tip +--- + +Building the entire ``DIPY`` documentation takes a few hours. You may want to +skip building the documentation for the examples, which will reduce the +documentation build time to a few minutes. You can do so by executing:: + + make -C . html-no-examples + +Troubleshooting +--------------- + +If you encounter the following error when trying to build the documentation:: + + tools/build_modref_templates.py dipy reference + *WARNING* API documentation not generated: Can not import dipy + tools/docgen_cmd.py dipy reference_cmd + *WARNING* Command line API documentation not generated: Cannot import dipy + Build API docs...done. + cd examples_built && ../../tools/make_examples.py + Traceback (most recent call last): + File "../../tools/make_examples.py", line 33, in + import dipy + ModuleNotFoundError: No module named 'dipy' + +it is probably due to a conflict between the picked ``Sphinx`` version: this +happens when the system's ``Sphinx`` package is used instead of the virtual +environment's ``Sphinx`` package, and the former trying to import a ``DIPY`` +version in the system: the ``Sphinx`` package used should correspond to that of +the virtual environment where ``DIPY`` lives. This can be solved by specifying +the path to the ``Sphinx`` package in the virtual environment:: + + make html SPHINXBUILD='python /sphinx-build' + + +.. include:: ../links_names.inc \ No newline at end of file diff --git a/dev/_sources/devel/toolchain.rst.txt b/dev/_sources/devel/toolchain.rst.txt new file mode 100644 index 00000000..552856f0 --- /dev/null +++ b/dev/_sources/devel/toolchain.rst.txt @@ -0,0 +1,192 @@ +.. _toolchain-roadmap: + +🛠️ Toolchain Roadmap +==================== + +The DIPY_ library relies on a set of primary dependencies, most notably Python, +NumPy and Nibabel_ to function effectively. Additionally, a broader array of +libraries and tools is necessary for both building the library and constructing +its documentation. + +It's important to note that these tools and libraries are continuously evolving. +This document aims to outline how DIPY_ will manage its usage of these dynamic +dependencies over time. + +DIPY_ strives to maintain compatibility across multiple releases of its +dependent libraries and tools. Requiring users to switch to other components +with every release would significantly reduce the value of DIPY_. Nevertheless, +retaining compatibility with older toolsets and libraries sets boundaries on +incorporating newer functionalities and capabilities. + +DIPY_ adopts a moderately conservative approach by ensuring compatibility with +several major releases of Python and NumPy across major platforms. However, +this stance may introduce further constraints, as illustrated in the C Compilers +section. + +- First and foremost, DIPY_ is a Python project, hence it requires a Python environment. +- Compilers for C code is needed, as well as for Cython. +- The Python environment needs ``NumPy`` and ``Nibabel`` package to be installed. +- Testing requires the ``pytest`` Python packages. +- Building the documentation requires Sphinx packages along with ``sphinx_design``, + ``sphinxcontrib-bibtex``, ``sphinx-gallery``, PyData/GRG theme. + +Building DIPY +-------------- + +Python Versions +^^^^^^^^^^^^^^^ + +DIPY is compatible with several versions of Python. When dropping support for +older Python versions, DIPY takes guidance from :ref:`Scientific-Python SPECS`. +Python 2.7 support was dropped starting from DIPY 1.0.0 + +================ ======================================================================= + Date Pythons supported +================ ======================================================================= + 2018 Py2.7, Py3.4+ (DIPY 0.16.x is the last release to support Python 2.7) + 2019 Py3.5+ + mid-2020 Py3.6+ + 2022 Py3.7+ + mid-2023 Py3.8+ + 2024 Py3.9+ +================ ======================================================================= + +NumPy +^^^^^ + +While DIPY_ relies on NumPy, its releases are not bound to specific NumPy +releases. Instead, DIPY_ strives for compatibility with at least the four +preceding releases of NumPy. This approach necessitates writing DIPY_ using +features common to all these versions, rather than relying solely on the +latest NumPy features [1]_. + +The table provided illustrates the compatible NumPy versions for each major +Python release. + +================= ======================== ======================= + DIPY_ version Python versions NumPy versions +================= ======================== ======================= + 0.16.0 2.7, >=3.4, <=3.7 >=1.8.2, <= 1.16.x + 1.0.0 >=3.5, <=3.7 >=1.13.3, <= 1.16.x + 1.1.0/1 >=3.5, <=3.8 >=1.13.3, <= 1.17.3 + 1.2.0 >=3.6, <=3.8 >=1.14.5, <= 1.17.3 + 1.3.0 >=3.6, <=3.8 >=1.14.5, <1.17.3 + 1.4.0/1 >=3.6, <=3.9 >=1.14.5, <1.20.x + 1.5.0 >=3.7, <=3.10 >=1.16.x, <1.23.0 + 1.6.0 >=3.7, <=3.11 >=1.16.x, <1.24.0 + 1.7.0 >=3.8, <=3.11 >=1.19.5, <1.24.0 + 1.8.0 >=3.8, <=3.12 >=1.19.5, <1.26.0 + 1.9.0 >=3.9, <3.12 >=1.21.6, <1.27.0 +================= ======================== ======================= + +.. note:: + + The table above is not exhaustive. In specific cases, such as a + particular architecture, these requirements could vary. + + +Compilers +^^^^^^^^^ + +Building DIPY_ requires compilers for C as well as the python transpilers +Cython. + +To maintain compatibility with a large number of platforms & setups, especially +where using the official wheels (or other distribution channels like Anaconda +or conda-forge) is not possible, DIPY_ tries to keep compatibility with older +compilers, on platforms that have not yet reached their official end-of-life. + +As explained in more detail below, the current minimal compiler versions are: + +========== =========================== =============================== ============================ + Compiler Default Platform (tested) Secondary Platform (untested) Minimal Version +========== =========================== =============================== ============================ + GCC Linux AIX, Alpine Linux, OSX GCC 8.x + LLVM OSX Linux, FreeBSD, Windows LLVM 10.x + MSVC Windows - Visual Studio 2019 (vc142) +========== =========================== =============================== ============================ + +Note that the lower bound for LLVM is not enforced. Older versions should +work, but no version below LLVM 12 is tested regularly during development. +Please file an issue if you encounter a problem during compilation. + +Official Builds +~~~~~~~~~~~~~~~ + +Currently, DIPY_ wheels are being built as follows: + +================ ============================== ============================== ============================= + Platform CI Base Images [2]_ [3]_ [4]_ Compilers Comment +================ ============================== ============================== ============================= +Linux x86 ``ubuntu-22.04`` GCC 10.2.1 ``cibuildwheel`` +Linux arm ``docker-builder-arm64`` GCC 11.3.0 ``cibuildwheel`` +OSX x86 ``macOS-11`` clang-13 ``cibuildwheel`` +OSX arm ``macos-monterey-xcode:14`` clang-13.1.6 ``cibuildwheel`` +Windows ``windows-2019`` Microsoft Visual 2019 (14.20) ``cibuildwheel`` +================ ============================== ============================== ============================= + + +Testing and Benchmarking +-------------------------- + +Testing and benchmarking require recent versions of: + +========================= ======== ==================================== + Tool Version URL +========================= ======== ==================================== +pytest Recent https://docs.pytest.org/en/latest/ +asv (airspeed velocity) Recent https://asv.readthedocs.io/ +========================= ======== ==================================== + + +Building the Documentation +-------------------------- + +==================== ================================================= + Tool Version +==================== ================================================= +Sphinx Whatever recent versions work. >= 6.0. +GRG Sphinx theme Whatever recent versions work. >= 0.3.1. +Sphinx-Design Whatever recent versions work. >= 0.5.0. +numpydoc Whatever recent versions work. >= 1.6.0. +Sphinx-Gallery Whatever recent versions work. >= 0.15.0. +Sphinxcontrib-bibtex Whatever recent versions work. >= 2.6.1 +==================== ================================================= + +.. note:: + + Developer Note: The documentation build might require additional libraries + based on the examples provided. Specifically, the versions of "numpy" and + "nibabel" needed have implications for the Python docstring examples. + + It's essential for these examples to execute seamlessly in both the + documentation build environment and any supported versions of "numpy/nibabel" + that users might utilize with this DIPY_ release. + + +Packaging +--------- + +A Recent version of: + +============= ======== =============================================== + Tool Version URL +============= ======== =============================================== +meson-python Recent https://meson-python.readthedocs.io/en/latest/ +wheel Recent https://pythonwheels.com +cibuildwheel Recent https://cibuildwheel.readthedocs.io/en/stable/ +============= ======== =============================================== + +:ref:`release-guide` contain information on making and distributing a +DIPY_ release. + +References +---------- + +.. [1] https://numpy.org/doc/stable/release.html +.. [2] https://github.com/actions/runner-images +.. [3] https://cirrus-ci.org/guide/docker-builder-vm/#under-the-hood +.. [4] https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos + + +.. include:: ../links_names.inc diff --git a/dev/_sources/examples_built/sg_execution_times.rst.txt b/dev/_sources/examples_built/sg_execution_times.rst.txt new file mode 100644 index 00000000..76dd955c --- /dev/null +++ b/dev/_sources/examples_built/sg_execution_times.rst.txt @@ -0,0 +1,37 @@ + +:orphan: + +.. _sphx_glr_examples_built_sg_execution_times: + + +Computation times +================= +**00:00.000** total execution time for 0 files **from examples_built**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - N/A + - N/A + - N/A diff --git a/dev/_sources/recipes.rst.txt b/dev/_sources/recipes.rst.txt new file mode 100644 index 00000000..ed90b7eb --- /dev/null +++ b/dev/_sources/recipes.rst.txt @@ -0,0 +1,49 @@ +.. _recipes: + +:octicon:`mortar-board` Recipes +=============================== + +**How do I do X in DIPY?** This page contains a collection of recipes that will +help you quickly resolve common basic/advanced operation. If you have a question +that is not answered here, please ask on the `dipy discussions`_ or even better, +answer it yourself and contribute to the documentation! + + +.. dropdown:: How do I convert my tractograms? + :animate: fade-in-slide-down + + We recommend to look at the tutorials :ref:`Streamline File Formats` + + .. code-block:: Python + + from dipy.io.streamline import load_tractogram, save_tractogram + + # convert from fib to trk + my_fib_file_path = '///my_tractogram.fib' + my_trk_file_path = '///my_tractogram.trk' + my_trk = load_tractogram(my_fib_file_path, 'same') + save_tractogram(my_trk.streamlines, my_trk_file_path, 'same') + + +.. dropdown:: How do I convert my Spherical Harmonics from DIPY to MRTRIX3? + :animate: fade-in-slide-down + + *Available only on master branch. See `this thread `_ for more information. + + .. code-block:: Python + + from dipy.reconst.shm import convert_sh + convert_sh('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz') + +.. dropdown:: How do I convert my tensors from DIPY to FSL? + :animate: fade-in-slide-down + + *Available only on master branch + + .. code-block:: Python + + from dipy.io import convert_tensor + convert_tensor('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz') + + +.. include:: links_names.inc \ No newline at end of file diff --git a/dev/_sources/reference_cmd/dipy_buan_shapes.rst.txt b/dev/_sources/reference_cmd/dipy_buan_shapes.rst.txt new file mode 100644 index 00000000..1d148f03 --- /dev/null +++ b/dev/_sources/reference_cmd/dipy_buan_shapes.rst.txt @@ -0,0 +1,38 @@ + +================ +dipy_buan_shapes +================ + +Usage +----- + +dipy_buan_shapes [-h] [--clust_thr [float ...]] [--threshold float] [--out_dir str] subject_folder + +Workflow of bundle analytics. + +Applies bundle shape similarity analysis on bundles of subjects and saves the results in a directory specified by ``out_dir``. + +Positional Arguments +-------------------- + + + subject_folder Path to the input subject folder. This path may contain wildcards to process multiple inputs at once. + +options: + -h, --help show this help message and exit + --clust_thr [float ...] + list of bundle clustering thresholds used in QuickBundlesX. + --threshold float Bundle shape similarity threshold. + +Output Arguments(Optional) +-------------------------- + + + --out_dir str Output directory. (default current directory) + +References +---------- + + +.. [Chandio2020] Chandio, B.Q., Risacher, S.L., Pestilli, F.,Bullock, D., Yeh, FC., Koudoro, S., Rokem, A., Harezlak, J., andGaryfallidis, E. Bundle analytics, a computational framework forinvestigating the shapes and profiles of brain pathways acrosspopulations. Sci Rep 10, 17149 (2020) +Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014. \ No newline at end of file diff --git a/dev/_sources/release_notes/release1.8.rst.txt b/dev/_sources/release_notes/release1.8.rst.txt new file mode 100644 index 00000000..27fc740e --- /dev/null +++ b/dev/_sources/release_notes/release1.8.rst.txt @@ -0,0 +1,376 @@ +.. _release1.8: + +==================================== + Release notes for DIPY version 1.8 +==================================== +GitHub stats for 2023/04/23 - 2023/12/13 (tag: 1.7.0) + +These lists are automatically generated, and may be incomplete or contain duplicates. + +The following 28 authors contributed 733 commits. + +* Ariel Rokem +* Atharva Shah +* Bramsh Qamar +* Charles Poirier +* Dimitri Papadopoulos +* Eleftherios Garyfallidis +* Emmanuelle Renauld +* Eric Larson +* Francois Rheault +* Gabriel Girard +* Javier Guaje +* John Kruper +* Jon Haitz Legarreta Gorroño +* Jong Sung Park +* Maharshi Gor +* Michael R. Crusoe +* Nicolas Delinte +* Paul Camacho +* Philippe Karan +* Rafael Neto Henriques +* Sam Coveney +* Samuel St-Jean +* Serge Koudoro +* Shilpi Prasad +* Theodore Ni +* Vara Lakshmi Bayanagari +* dependabot[bot] +* Étienne Mollier + + +We closed a total of 327 issues, 130 pull requests and 197 regular issues; +this is the full list (generated with the script +:file:`tools/github_stats.py`): + +Pull Requests (129): + +* :ghpull:`3009`: [DOC] Update installation instruction [ci skip] +* :ghpull:`2999`: TEST: Set explicitly `CLARABEL` as the CVXPY solver +* :ghpull:`2943`: BF: Fix bundlewarp shape analysis profile values for all `False` mask +* :ghpull:`2992`: RGB support for images +* :ghpull:`2989`: BF: Mask `1` values in leveraged, residual matrix computation +* :ghpull:`3007`: [RF] Define minimum version for some optional packages +* :ghpull:`3006`: [NF] Introduce minimum version in `optional_package` +* :ghpull:`3002`: [RF] Improve scripts and import management +* :ghpull:`3005`: Bump actions/setup-python from 4 to 5 +* :ghpull:`3004`: TEST: Check and filter PCA dimensionality problem warning +* :ghpull:`2996`: RF: Fix b0 threshold warnings +* :ghpull:`2995`: [MTN] remove custom module `_importlib` +* :ghpull:`2998`: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test +* :ghpull:`3001`: RF: Create PCA denoising utils methods +* :ghpull:`3000`: RF: Prefer raising `sklearn` package warnings when required +* :ghpull:`2997`: TEST: Filter warning about resorting to `OLS` fitting method +* :ghpull:`2991`: MTN: fix byte swap ordering for numpy 2.0 +* :ghpull:`2987`: STYLE: Make `cvxpy`-dependent test checking consistent in `test_mcsd` +* :ghpull:`2990`: STYLE: Use `.astype()` on uninitialized array casting +* :ghpull:`2984`: DOC: Miscellaneous documentation improvements +* :ghpull:`2988`: STYLE: Remove unused import in `dipy/core/gradients.py` +* :ghpull:`2985`: Bump conda-incubator/setup-miniconda from 2 to 3 +* :ghpull:`2986`: DOC: Fix typos and grammar in `lcr_matrix` function documentation +* :ghpull:`2983`: STYLE: Fix boolean variable negation warnings +* :ghpull:`2981`: [MTN] replace the deprecated sctypes +* :ghpull:`2980`: [FIX] int_t to npy_intp +* :ghpull:`2978`: DOC: Fix issue template [ci skip] +* :ghpull:`2976`: [MTN] Update index url for PRE-Wheels dependencies +* :ghpull:`2975`: connectivity_matrix code speed up +* :ghpull:`2715`: Enable building DIPY with Meson +* :ghpull:`2964`: RF: Moving to numpy.random.Generator from numpy.random +* :ghpull:`2963`: NF: Updating EVAC+ model and adding util function +* :ghpull:`2974`: [MTN] Disable github check annotations +* :ghpull:`2956`: Adding support for btens to multi_shell_fiber_response function +* :ghpull:`2969`: bugfix for --force issue +* :ghpull:`2967`: Feature/opacity checkbox +* :ghpull:`2966`: volume slider fix +* :ghpull:`2958`: TEST: Filter legacy SH bases warnings in bootstrap direction getter test +* :ghpull:`2944`: [DOC] Remove `..figure` directive in examples +* :ghpull:`2961`: fixes for pep8 in previous PR +* :ghpull:`2922`: synchronized-slicers for same size +* :ghpull:`2924`: Additional check for horizon +* :ghpull:`2957`: STYLE: Fix typo in `msdki` reconstruction test name +* :ghpull:`2941`: TEST: Fix NumPy array to scalar value conversion warning +* :ghpull:`2932`: OPT - Optimized pmfgen +* :ghpull:`2929`: Stabilizing some test functions with set random seeds +* :ghpull:`2954`: TEST: Bring back Python 3.8 testing to GHA workflows +* :ghpull:`2946`: RF: Refactor duplicate code in `qtdmri` to `mapmri` coeff computation +* :ghpull:`2947`: RF - BootDirectionGetter +* :ghpull:`2945`: DOC: Fix miscellaneous docstrings +* :ghpull:`2940`: TEST: Filter legacy SH bases warnings in PTT direction getter test +* :ghpull:`2938`: TEST: Adding random generator with seed to icm tests +* :ghpull:`2942`: OPT: Delegate to NumPy creating a random matrix +* :ghpull:`2939`: DOC: Update jhlegarreta affiliation in developers +* :ghpull:`2933`: fixed bug with fit extra returns +* :ghpull:`2930`: Update of the tutorial apply image-based registration to streamlines +* :ghpull:`2759`: TRX integration +* :ghpull:`2923`: [DOC] Large documentation update +* :ghpull:`2825`: NF - add initial directions to local tracking +* :ghpull:`2892`: BF - fixed random generator seed `value too large to convert to int` error +* :ghpull:`2926`: ENH: MSMT CSD module unique b-val tolerance parameter improvements +* :ghpull:`2927`: DOC: Fix package name in documentation config file comment +* :ghpull:`2925`: STYLE: Fix miscellaneous Numpy warnings +* :ghpull:`2781`: Small fixes in functions +* :ghpull:`2910`: STYLE: f-strings +* :ghpull:`2921`: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject +* :ghpull:`2906`: [FIX] Pin scipy for the conda failing CI's +* :ghpull:`2920`: Mark Python3 files as such +* :ghpull:`2919`: fix various grammar errors +* :ghpull:`2915`: DOC: http:// → https:// +* :ghpull:`2916`: Build(deps): Bump codespell-project/actions-codespell from 1 to 2 +* :ghpull:`2914`: GitHub Actions +* :ghpull:`2816`: Correlation Tensor Imaging +* :ghpull:`2912`: MAINT: the symbol for second is s, not sec. +* :ghpull:`2902`: Short import for horizon +* :ghpull:`2904`: Apply refurb suggestions +* :ghpull:`2899`: DOC: Fix typos newly found by codespell +* :ghpull:`2891`: Apply pyupgrade suggestions +* :ghpull:`2898`: Remove zip operation in transform_tracking_output +* :ghpull:`2897`: BF: Bug when downloading hbn data. +* :ghpull:`2893`: Remove consecutive duplicate words +* :ghpull:`2894`: Get rid of trailing spaces in text files +* :ghpull:`2889`: Apply pyupgrade suggestions +* :ghpull:`2888`: Fix typos newly found by codespell +* :ghpull:`2887`: Update shm.py +* :ghpull:`2814`: [Fix] Horizon: Binary image loading +* :ghpull:`2885`: [ENH] Add minimum length to streamline generator +* :ghpull:`2875`: Increased PTT performances +* :ghpull:`2879`: Add fetcher for a sample CTI dataset +* :ghpull:`2882`: Change license_file to license_files in setup.cfg +* :ghpull:`2804`: Adding diffusion data descriptions from references to reconstruction table +* :ghpull:`2730`: Fix weighted Jacobians, return extra fit data, add adjacency function +* :ghpull:`2821`: NF - added pft min wm parameter +* :ghpull:`2876`: Introduction of pydata theme for sphinx +* :ghpull:`2846`: Vara's Week 8 & Week 9 blog +* :ghpull:`2870`: Vara's Week 12 and Week 13 blog +* :ghpull:`2865`: Shilpi's Week0&Week1 combined +* :ghpull:`2868`: Submitting Week13.rst file +* :ghpull:`2871`: Corrected paths to static files +* :ghpull:`2863`: Shilpi's Week12 Blog. +* :ghpull:`2856`: Adding Week 11 Blog +* :ghpull:`2849`: Shilpi's 10th Blog +* :ghpull:`2847`: Pushing Week 8 + 9 blog +* :ghpull:`2836`: Shilpi's Week 5 blog +* :ghpull:`2864`: Change internal space/origin when using sft.to_x() with an empty sft. +* :ghpull:`2806`: BF - initial backward orientation of local tracking +* :ghpull:`2862`: Vara's Week 10 & Week 11 blog +* :ghpull:`2843`: Pushing 7th_blog +* :ghpull:`2841`: Vara's Week 6 & Week 7 blog +* :ghpull:`2835`: Vara's week 5 blog +* :ghpull:`2829`: Pushing 3rd blog +* :ghpull:`2828`: Vara's week 3 blog +* :ghpull:`2860`: Updates HCP fetcher dataset_description to be compatible with current BIDS +* :ghpull:`2831`: Vara's week 4 blog +* :ghpull:`2833`: Pushing 4thBlog +* :ghpull:`2840`: Shilpi's Week6 Blog +* :ghpull:`2839`: make order_from_ncoef return an int +* :ghpull:`2844`: doc/tools/: fix trailing dot in version number. +* :ghpull:`2832`: BundleWarp: added tutorial and fixed a small bug +* :ghpull:`2818`: Vara's week 0 blog +* :ghpull:`2823`: submitting clearn PR for 2nd blog +* :ghpull:`2813`: First Blog +* :ghpull:`2808`: [DOC] Fix cross referencing +* :ghpull:`2798`: Move evac+ to new module `nn` +* :ghpull:`2797`: remove Nibabel InTemporaryDirectory +* :ghpull:`2800`: Remove the Deprecating nisext +* :ghpull:`2795`: bump dependencies minimal version +* :ghpull:`2792`: Add `patch_radius` parameter to Patch2Self denoise workflow +* :ghpull:`2761`: [UPCOMING] Release 1.7.0 - workshop release + +Issues (197): + +* :ghissue:`3009`: [DOC] Update installation instruction [ci skip] +* :ghissue:`2999`: TEST: Set explicitly `CLARABEL` as the CVXPY solver +* :ghissue:`2943`: BF: Fix bundlewarp shape analysis profile values for all `False` mask +* :ghissue:`2992`: RGB support for images +* :ghissue:`2989`: BF: Mask `1` values in leveraged, residual matrix computation +* :ghissue:`3007`: [RF] Define minimum version for some optional packages +* :ghissue:`3006`: [NF] Introduce minimum version in `optional_package` +* :ghissue:`1256`: script path can not be found on OSX +* :ghissue:`3002`: [RF] Improve scripts and import management +* :ghissue:`3005`: Bump actions/setup-python from 4 to 5 +* :ghissue:`3004`: TEST: Check and filter PCA dimensionality problem warning +* :ghissue:`2996`: RF: Fix b0 threshold warnings +* :ghissue:`2995`: [MTN] remove custom module `_importlib` +* :ghissue:`2998`: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test +* :ghissue:`3001`: RF: Create PCA denoising utils methods +* :ghissue:`3000`: RF: Prefer raising `sklearn` package warnings when required +* :ghissue:`2997`: TEST: Filter warning about resorting to `OLS` fitting method +* :ghissue:`2979`: Prerelease wheels not NumPy 2.0.0.dev compatible +* :ghissue:`2991`: MTN: fix byte swap ordering for numpy 2.0 +* :ghissue:`2987`: STYLE: Make `cvxpy`-dependent test checking consistent in `test_mcsd` +* :ghissue:`2990`: STYLE: Use `.astype()` on uninitialized array casting +* :ghissue:`2984`: DOC: Miscellaneous documentation improvements +* :ghissue:`2988`: STYLE: Remove unused import in `dipy/core/gradients.py` +* :ghissue:`2985`: Bump conda-incubator/setup-miniconda from 2 to 3 +* :ghissue:`2986`: DOC: Fix typos and grammar in `lcr_matrix` function documentation +* :ghissue:`2905`: base tests +* :ghissue:`2983`: STYLE: Fix boolean variable negation warnings +* :ghissue:`2981`: [MTN] replace the deprecated sctypes +* :ghissue:`2980`: [FIX] int_t to npy_intp +* :ghissue:`2978`: DOC: Fix issue template [ci skip] +* :ghissue:`2976`: [MTN] Update index url for PRE-Wheels dependencies +* :ghissue:`2975`: connectivity_matrix code speed up +* :ghissue:`2514`: Reshape our packaging system +* :ghissue:`2715`: Enable building DIPY with Meson +* :ghissue:`2964`: RF: Moving to numpy.random.Generator from numpy.random +* :ghissue:`2736`: dipy_horizon needs --force option if there is tmp.png +* :ghissue:`2960`: add type annotation in io module +* :ghissue:`2803`: Type annotations integration +* :ghissue:`2963`: NF: Updating EVAC+ model and adding util function +* :ghissue:`2974`: [MTN] Disable github check annotations +* :ghissue:`2956`: Adding support for btens to multi_shell_fiber_response function +* :ghissue:`2969`: bugfix for --force issue +* :ghissue:`2967`: Feature/opacity checkbox +* :ghissue:`2965`: Pip installation issues with python 3.12 +* :ghissue:`2968`: Pip installation issues with python 3.12 +* :ghissue:`2966`: volume slider fix +* :ghissue:`2958`: TEST: Filter legacy SH bases warnings in bootstrap direction getter test +* :ghissue:`2801`: Some left-overs from sphinx-gallery conversion +* :ghissue:`2944`: [DOC] Remove `..figure` directive in examples +* :ghissue:`2961`: fixes for pep8 in previous PR +* :ghissue:`2922`: synchronized-slicers for same size +* :ghissue:`2878`: DIPY reinstall doesn't automatically update needed dependencies +* :ghissue:`2924`: Additional check for horizon +* :ghissue:`2957`: STYLE: Fix typo in `msdki` reconstruction test name +* :ghissue:`2941`: TEST: Fix NumPy array to scalar value conversion warning +* :ghissue:`2932`: OPT - Optimized pmfgen +* :ghissue:`2929`: Stabilizing some test functions with set random seeds +* :ghissue:`2954`: TEST: Bring back Python 3.8 testing to GHA workflows +* :ghissue:`2953`: [WIP] Nlmeans update +* :ghissue:`2946`: RF: Refactor duplicate code in `qtdmri` to `mapmri` coeff computation +* :ghissue:`2955`: set_number_of_points function not found for dipy 1.7.0 +* :ghissue:`2947`: RF - BootDirectionGetter +* :ghissue:`2952`: Delete dipy/denoise/nlmeans.py +* :ghissue:`2949`: HBN fetcher failed +* :ghissue:`2945`: DOC: Fix miscellaneous docstrings +* :ghissue:`718`: Create an example of multi b-value SFM +* :ghissue:`2523`: Doc generation failed +* :ghissue:`2940`: TEST: Filter legacy SH bases warnings in PTT direction getter test +* :ghissue:`2928`: `test_icm_square` failing on and off +* :ghissue:`2938`: TEST: Adding random generator with seed to icm tests +* :ghissue:`2942`: OPT: Delegate to NumPy creating a random matrix +* :ghissue:`2939`: DOC: Update jhlegarreta affiliation in developers +* :ghissue:`2933`: fixed bug with fit extra returns +* :ghissue:`2936`: Automatic Fiber Bundle Extraction with RecoBundles in DIPY 1.7 broken? +* :ghissue:`2934`: demo code not working +* :ghissue:`2787`: Adds a pyproject file. +* :ghissue:`2786`: "Image based streamlines_registration: unable to warp streamlines into template" +* :ghissue:`2400`: Applying image-based deformations to streamlines example +* :ghissue:`2703`: Image based streamlines_registration: unable to warp streamlines into template space +* :ghissue:`2930`: Update of the tutorial apply image-based registration to streamlines +* :ghissue:`2759`: TRX integration +* :ghissue:`2931`: Add caption to sphinx gallery figure +* :ghissue:`2560`: MCSD Tutorial failed with `cvxpy>=1.1.15` +* :ghissue:`2794`: Add a search box to the DIPY documentation +* :ghissue:`2815`: Reconstruction table of content doesn't connect to MAP+ +* :ghissue:`2923`: [DOC] Large documentation update +* :ghissue:`2790`: DTI fitting function with NLLS method raises an error. +* :ghissue:`2872`: Website image (not showing up or wrong tag showing) +* :ghissue:`2884`: WIP: trx integration +* :ghissue:`2825`: NF - add initial directions to local tracking +* :ghissue:`2892`: BF - fixed random generator seed `value too large to convert to int` error +* :ghissue:`2926`: ENH: MSMT CSD module unique b-val tolerance parameter improvements +* :ghissue:`2927`: DOC: Fix package name in documentation config file comment +* :ghissue:`2925`: STYLE: Fix miscellaneous Numpy warnings +* :ghissue:`2777`: Error using dipy_motion_correct +* :ghissue:`2781`: Small fixes in functions +* :ghissue:`2648`: Issues with dipy_align_syn +* :ghissue:`2900`: format → f-strings? +* :ghissue:`2910`: STYLE: f-strings +* :ghissue:`2921`: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject +* :ghissue:`2906`: [FIX] Pin scipy for the conda failing CI's +* :ghissue:`2920`: Mark Python3 files as such +* :ghissue:`2919`: fix various grammar errors +* :ghissue:`2915`: DOC: http:// → https:// +* :ghissue:`2896`: Interactive examples for dipy +* :ghissue:`2901`: patch2self question +* :ghissue:`2916`: Build(deps): Bump codespell-project/actions-codespell from 1 to 2 +* :ghissue:`2914`: GitHub Actions +* :ghissue:`2816`: Correlation Tensor Imaging +* :ghissue:`2912`: MAINT: the symbol for second is s, not sec. +* :ghissue:`2913`: DOC: fix links +* :ghissue:`2902`: Short import for horizon +* :ghissue:`2908`: Voxel correspondance between Non-Linearly aligned Volumes +* :ghissue:`2890`: Attempt to fix error in conda jobs +* :ghissue:`2907`: Temp - Gab PR +* :ghissue:`2904`: Apply refurb suggestions +* :ghissue:`2903`: Typo in the skills required section (Project 2) of Project Ideas +* :ghissue:`2899`: DOC: Fix typos newly found by codespell +* :ghissue:`2891`: Apply pyupgrade suggestions +* :ghissue:`2898`: Remove zip operation in transform_tracking_output +* :ghissue:`2897`: BF: Bug when downloading hbn data. +* :ghissue:`2893`: Remove consecutive duplicate words +* :ghissue:`2894`: Get rid of trailing spaces in text files +* :ghissue:`2889`: Apply pyupgrade suggestions +* :ghissue:`2888`: Fix typos newly found by codespell +* :ghissue:`2887`: Update shm.py +* :ghissue:`2814`: [Fix] Horizon: Binary image loading +* :ghissue:`2885`: [ENH] Add minimum length to streamline generator +* :ghissue:`1372`: Change direction getter dictionary keys from floats[3] to int +* :ghissue:`2805`: Incorrect initial direction for the backward segment of local tracking +* :ghissue:`2875`: Increased PTT performances +* :ghissue:`2883`: Adding last,Week14Blog +* :ghissue:`2879`: Add fetcher for a sample CTI dataset +* :ghissue:`2769`: DOC example for data_per_streamline usage +* :ghissue:`2774`: Added a tutorial in doc folder for saving labels. +* :ghissue:`2882`: Change license_file to license_files in setup.cfg +* :ghissue:`2881`: Adding fetcher in the test_file for #2879 +* :ghissue:`2867`: Bug in PFT when changing the random function +* :ghissue:`2804`: Adding diffusion data descriptions from references to reconstruction table +* :ghissue:`2820`: fixed bug for nlls fitting +* :ghissue:`2746`: Weighted Non-Linear Fitting may be wrong +* :ghissue:`2730`: Fix weighted Jacobians, return extra fit data, add adjacency function +* :ghissue:`2821`: NF - added pft min wm parameter +* :ghissue:`2876`: Introduction of pydata theme for sphinx +* :ghissue:`2846`: Vara's Week 8 & Week 9 blog +* :ghissue:`2870`: Vara's Week 12 and Week 13 blog +* :ghissue:`2865`: Shilpi's Week0&Week1 combined +* :ghissue:`2868`: Submitting Week13.rst file +* :ghissue:`2871`: Corrected paths to static files +* :ghissue:`2873`: Motion estimate +* :ghissue:`2863`: Shilpi's Week12 Blog. +* :ghissue:`2856`: Adding Week 11 Blog +* :ghissue:`2849`: Shilpi's 10th Blog +* :ghissue:`2847`: Pushing Week 8 + 9 blog +* :ghissue:`2836`: Shilpi's Week 5 blog +* :ghissue:`2864`: Change internal space/origin when using sft.to_x() with an empty sft. +* :ghissue:`2806`: BF - initial backward orientation of local tracking +* :ghissue:`2862`: Vara's Week 10 & Week 11 blog +* :ghissue:`2843`: Pushing 7th_blog +* :ghissue:`2841`: Vara's Week 6 & Week 7 blog +* :ghissue:`2835`: Vara's week 5 blog +* :ghissue:`2829`: Pushing 3rd blog +* :ghissue:`2828`: Vara's week 3 blog +* :ghissue:`2860`: Updates HCP fetcher dataset_description to be compatible with current BIDS +* :ghissue:`2831`: Vara's week 4 blog +* :ghissue:`1883`: Interesting dataset for linear, planar, spherical encoding +* :ghissue:`2491`: ENH: Extend Horizon to visualize 2 volumes simultaneously +* :ghissue:`2812`: Patch2self denoising followed by topup and eddy corrections worsens distortions in the orbitofrontal region +* :ghissue:`2833`: Pushing 4thBlog +* :ghissue:`2858`: Odffp +* :ghissue:`2857`: Odffp +* :ghissue:`2840`: Shilpi's Week6 Blog +* :ghissue:`2838`: Reconstruction issues using MAP-MRI model (RTOP, RTAP, RTPP) +* :ghissue:`2845`: MAP ODF issues +* :ghissue:`2851`: How to use "synb0" in Dipy for preprocessing +* :ghissue:`2839`: make order_from_ncoef return an int +* :ghissue:`2844`: doc/tools/: fix trailing dot in version number. +* :ghissue:`2827`: BundleWarp CLI Tutorial - Missing from Website +* :ghissue:`2832`: BundleWarp: added tutorial and fixed a small bug +* :ghissue:`1627`: WIP - NF - Tracking with Initial Directions and other tracking parameters +* :ghissue:`2818`: Vara's week 0 blog +* :ghissue:`2823`: submitting clearn PR for 2nd blog +* :ghissue:`2822`: Pushing 2nd blog, +* :ghissue:`2813`: First Blog +* :ghissue:`2808`: [DOC] Fix cross referencing +* :ghissue:`2798`: Move evac+ to new module `nn` +* :ghissue:`2797`: remove Nibabel InTemporaryDirectory +* :ghissue:`2706`: FYI: Deprecating nisext in nibabel +* :ghissue:`2800`: Remove the Deprecating nisext +* :ghissue:`2689`: Installing DIPY fails with current conda version +* :ghissue:`2718`: StatefulTractogram +* :ghissue:`2795`: bump dependencies minimal version +* :ghissue:`2747`: Cannot set `dipy` as a dependency +* :ghissue:`2791`: Update Patch2Self CLI +* :ghissue:`2792`: Add `patch_radius` parameter to Patch2Self denoise workflow +* :ghissue:`2771`: BUG: Missing Python 3.11 macOS wheels +* :ghissue:`2761`: [UPCOMING] Release 1.7.0 - workshop release diff --git a/dev/_sources/sg_execution_times.rst.txt b/dev/_sources/sg_execution_times.rst.txt new file mode 100644 index 00000000..cb7874be --- /dev/null +++ b/dev/_sources/sg_execution_times.rst.txt @@ -0,0 +1,304 @@ + +:orphan: + +.. _sphx_glr_sg_execution_times: + + +Computation times +================= +**02:13.835** total execution time for 90 files **from all galleries**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_forecast.py` (``examples_revamped\reconstruction\reconst_forecast.py``) + - 01:16.956 + - 0.0 + * - :ref:`sphx_glr_examples_built_visualization_viz_bundles.py` (``examples_revamped\visualization\viz_bundles.py``) + - 00:28.440 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_fwdti.py` (``examples_revamped\reconstruction\reconst_fwdti.py``) + - 00:16.550 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_register_binary_fuzzy.py` (``examples_revamped\registration\register_binary_fuzzy.py``) + - 00:11.889 + - 0.0 + * - :ref:`sphx_glr_examples_built_contextual_enhancement_contextual_enhancement.py` (``examples_revamped\contextual_enhancement\contextual_enhancement.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_contextual_enhancement_fiber_to_bundle_coherence.py` (``examples_revamped\contextual_enhancement\fiber_to_bundle_coherence.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_linear_fascicle_evaluation.py` (``examples_revamped\fiber_tracking\linear_fascicle_evaluation.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_surface_seed.py` (``examples_revamped\fiber_tracking\surface_seed.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_bootstrap_peaks.py` (``examples_revamped\fiber_tracking\tracking_bootstrap_peaks.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_deterministic.py` (``examples_revamped\fiber_tracking\tracking_deterministic.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_introduction_eudx_1.py` (``examples_revamped\fiber_tracking\tracking_introduction_eudx_1.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_pft.py` (``examples_revamped\fiber_tracking\tracking_pft.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_probabilistic.py` (``examples_revamped\fiber_tracking\tracking_probabilistic.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_ptt.py` (``examples_revamped\fiber_tracking\tracking_ptt.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_rumba.py` (``examples_revamped\fiber_tracking\tracking_rumba.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_sfm.py` (``examples_revamped\fiber_tracking\tracking_sfm.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_fiber_tracking_tracking_stopping_criterion.py` (``examples_revamped\fiber_tracking\tracking_stopping_criterion.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_file_formats_streamline_formats.py` (``examples_revamped\file_formats\streamline_formats.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_multiprocessing_reconst_csa_parallel.py` (``examples_revamped\multiprocessing\reconst_csa_parallel.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_multiprocessing_reconst_csd_parallel.py` (``examples_revamped\multiprocessing\reconst_csd_parallel.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_brain_extraction_dwi.py` (``examples_revamped\preprocessing\brain_extraction_dwi.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_ascm.py` (``examples_revamped\preprocessing\denoise_ascm.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_gibbs.py` (``examples_revamped\preprocessing\denoise_gibbs.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_localpca.py` (``examples_revamped\preprocessing\denoise_localpca.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_mppca.py` (``examples_revamped\preprocessing\denoise_mppca.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_nlmeans.py` (``examples_revamped\preprocessing\denoise_nlmeans.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_denoise_patch2self.py` (``examples_revamped\preprocessing\denoise_patch2self.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_gradients_spheres.py` (``examples_revamped\preprocessing\gradients_spheres.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_motion_correction.py` (``examples_revamped\preprocessing\motion_correction.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_piesno.py` (``examples_revamped\preprocessing\piesno.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_reslice_datasets.py` (``examples_revamped\preprocessing\reslice_datasets.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_preprocessing_snr_in_cc.py` (``examples_revamped\preprocessing\snr_in_cc.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_quick_start_quick_start.py` (``examples_revamped\quick_start\quick_start.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_quick_start_tracking_introduction_eudx.py` (``examples_revamped\quick_start\tracking_introduction_eudx.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_histology_resdnn.py` (``examples_revamped\reconstruction\histology_resdnn.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_kfold_xval.py` (``examples_revamped\reconstruction\kfold_xval.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_csa.py` (``examples_revamped\reconstruction\reconst_csa.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_csd.py` (``examples_revamped\reconstruction\reconst_csd.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_cti.py` (``examples_revamped\reconstruction\reconst_cti.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dki.py` (``examples_revamped\reconstruction\reconst_dki.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dki_micro.py` (``examples_revamped\reconstruction\reconst_dki_micro.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dsi.py` (``examples_revamped\reconstruction\reconst_dsi.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dsi_metrics.py` (``examples_revamped\reconstruction\reconst_dsi_metrics.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dsid.py` (``examples_revamped\reconstruction\reconst_dsid.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_dti.py` (``examples_revamped\reconstruction\reconst_dti.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_gqi.py` (``examples_revamped\reconstruction\reconst_gqi.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_ivim.py` (``examples_revamped\reconstruction\reconst_ivim.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_mapmri.py` (``examples_revamped\reconstruction\reconst_mapmri.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_mcsd.py` (``examples_revamped\reconstruction\reconst_mcsd.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_msdki.py` (``examples_revamped\reconstruction\reconst_msdki.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_qtdmri.py` (``examples_revamped\reconstruction\reconst_qtdmri.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_qti.py` (``examples_revamped\reconstruction\reconst_qti.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_qtiplus.py` (``examples_revamped\reconstruction\reconst_qtiplus.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_rumba.py` (``examples_revamped\reconstruction\reconst_rumba.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_sfm.py` (``examples_revamped\reconstruction\reconst_sfm.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_sh.py` (``examples_revamped\reconstruction\reconst_sh.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_shore.py` (``examples_revamped\reconstruction\reconst_shore.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_reconst_shore_metrics.py` (``examples_revamped\reconstruction\reconst_shore_metrics.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_reconstruction_restore_dti.py` (``examples_revamped\reconstruction\restore_dti.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_affine_registration_3d.py` (``examples_revamped\registration\affine_registration_3d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_affine_registration_masks.py` (``examples_revamped\registration\affine_registration_masks.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_bundle_group_registration.py` (``examples_revamped\registration\bundle_group_registration.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_bundle_registration.py` (``examples_revamped\registration\bundle_registration.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_bundlewarp_registration.py` (``examples_revamped\registration\bundlewarp_registration.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_streamline_registration.py` (``examples_revamped\registration\streamline_registration.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_syn_registration_2d.py` (``examples_revamped\registration\syn_registration_2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_registration_syn_registration_3d.py` (``examples_revamped\registration\syn_registration_3d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_brain_extraction_dwi_1.py` (``examples_revamped\segmentation\brain_extraction_dwi_1.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_bundle_extraction.py` (``examples_revamped\segmentation\bundle_extraction.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_fast_streamline_search.py` (``examples_revamped\segmentation\fast_streamline_search.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_segment_clustering_features.py` (``examples_revamped\segmentation\segment_clustering_features.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_segment_clustering_metrics.py` (``examples_revamped\segmentation\segment_clustering_metrics.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_segment_extending_clustering_framework.py` (``examples_revamped\segmentation\segment_extending_clustering_framework.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_segment_quickbundles.py` (``examples_revamped\segmentation\segment_quickbundles.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_segmentation_tissue_classification.py` (``examples_revamped\segmentation\tissue_classification.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_simulations_reconst_dsid_1.py` (``examples_revamped\simulations\reconst_dsid_1.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_simulations_simulate_dki.py` (``examples_revamped\simulations\simulate_dki.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_simulations_simulate_multi_tensor.py` (``examples_revamped\simulations\simulate_multi_tensor.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_afq_tract_profiles.py` (``examples_revamped\streamline_analysis\afq_tract_profiles.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_bundle_assignment_maps.py` (``examples_revamped\streamline_analysis\bundle_assignment_maps.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_bundle_shape_similarity.py` (``examples_revamped\streamline_analysis\bundle_shape_similarity.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_cluster_confidence.py` (``examples_revamped\streamline_analysis\cluster_confidence.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_path_length_map.py` (``examples_revamped\streamline_analysis\path_length_map.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_streamline_length.py` (``examples_revamped\streamline_analysis\streamline_length.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_streamline_analysis_streamline_tools.py` (``examples_revamped\streamline_analysis\streamline_tools.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_visualization_viz_advanced.py` (``examples_revamped\visualization\viz_advanced.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_visualization_viz_roi_contour.py` (``examples_revamped\visualization\viz_roi_contour.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_visualization_viz_slice.py` (``examples_revamped\visualization\viz_slice.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_workflows_combined_workflow_creation.py` (``examples_revamped\workflows\combined_workflow_creation.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_built_workflows_workflow_creation.py` 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zoQiwKh#?Sa{9ZQ!_Oe}4E@WhkVY{g(-=G25QaMIike5gPOEY|u?My;{?-hgy*lGAH zUfa3IUBDL~Lp~I>nD~tKxVWJ;;KaihQse#2FC3N_n~eN2A$4u=Uf!Mp!tCXmc>RAo k2ljt6TPDx?`x!OHzV++9JZbLBfE<#lqLxCfoK?jC0Qx|c&;S4c literal 0 HcmV?d00001 diff --git a/dev/_static/version_switcher.json b/dev/_static/version_switcher.json index 837d9202..198db29e 100644 --- a/dev/_static/version_switcher.json +++ b/dev/_static/version_switcher.json @@ -21,7 +21,7 @@ "url": "https://deprecated.docs.dipy.org/documentation/1.6.0/documentation/" }, { - "name": "1.5.0 (stable)", + "name": "1.5.0", "version":"1.5.0", "url": "https://deprecated.docs.dipy.org/documentation/1.5.0/documentation/" }, diff --git a/dev/devel/benchmarking.html b/dev/devel/benchmarking.html new file mode 100644 index 00000000..a645d4a4 --- /dev/null +++ b/dev/devel/benchmarking.html @@ -0,0 +1,1282 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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🚀 DIPY Benchmarks 📊#

+

Benchmarking Dipy with Airspeed Velocity (ASV). Measure the speed and performance of DIPY functions easily!

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+

Prerequisites ⚙️#

+

Before you start, make sure you have ASV and installed:

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pip install asv
+pip install virtualenv
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+
+
+

Getting Started 🏃‍♂️#

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DIPY Benchmarking is as easy as a piece of 🍰 with ASV. You don’t need to install a development version of DIPY into your current Python environment. ASV manages virtual environments and builds DIPY automatically.

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+

Running Benchmarks 📈#

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To run all available benchmarks, navigate to the root DIPY directory at the command line and execute:

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spin bench
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+

This command builds DIPY and runs all available benchmarks defined in the benchmarks/ directory. Be patient; this could take a while as each benchmark is run multiple times to measure execution time distribution.

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For local testing without replications, unleash the power of ⚡:

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cd benchmarks/
+export REGEXP="bench.*Ufunc"
+asv run --dry-run --show-stderr --python=same --quick -b $REGEXP
+
+
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Here, $REGEXP is a regular expression used to match benchmarks, and --quick is used to avoid repetitions.

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To run benchmarks from a particular benchmark module, such as bench_segment.py, simply append the filename without the extension:

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spin bench -t bench_segment
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To run a benchmark defined in a class, such as BenchQuickbundles from bench_segment.py, show your benchmarking ninja skills:

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spin bench -t bench_segment.BenchQuickbundles
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Comparing Results 📊#

+

To compare benchmark results with another version/commit/branch, use the --compare option (or -c):

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spin bench --compare v1.7.0 -t bench_segment
+spin bench --compare 20d03bcfd -t bench_segment
+spin bench -c master -t bench_segment
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+
+

These commands display results in the console but don’t save them for future comparisons. For greater control and to save results for future comparisons, use ASV commands:

+
cd benchmarks
+asv run -n -e --python=same
+asv publish
+asv preview
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+
+
+
+

Benchmarking Versions 💻#

+

To benchmark or visualize releases on different machines locally, generate tags with their commits:

+
cd benchmarks
+# Get commits for tags
+# delete tag_commits.txt before re-runs
+for gtag in $(git tag --list --sort taggerdate | grep "^v"); do
+git log $gtag --oneline -n1 --decorate=no | awk '{print $1;}' >> tag_commits.txt
+done
+# Use the last 20 versions for maximum power 🔥
+tail --lines=20 tag_commits.txt > 20_vers.txt
+asv run HASHFILE:20_vers.txt
+# Publish and view
+asv publish
+asv preview
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Contributing 🤝#

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TBD

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Writing Benchmarks ✏️#

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See `ASV documentation<https://asv.readthedocs.io/>`__ for basics on how to write benchmarks.

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Things to consider:

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  • The benchmark suite should be importable with multiple DIPY version.

  • +
  • Benchmark parameters should not depend on which DIPY version is installed.

  • +
  • Keep the runtime of the benchmark reasonable.

  • +
  • Prefer ASV’s time_ methods for benchmarking times.

  • +
  • Prepare arrays in the setup method rather than in the time_ methods.

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  • Be mindful of large arrays created.

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Embrace the Speed! ⏩#

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Now you’re all set to benchmark DIPY with ASV and watch your code reach for the stars! Happy benchmarking! 🚀

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+ + +
+
+ +
+
+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +
+

Installing from source#

+
+

Getting the source#

+

More likely you will want to get the source repository to be able to follow the +latest changes. In that case, you can use:

+
git clone https://github.com/dipy/dipy.git
+
+
+

For more information about this see Following the latest source.

+

After you’ve cloned the repository, you will have a new directory, containing +the DIPY pyproject.toml file, among others. We’ll call this directory - that +contains the pyproject.toml file - the DIPY source root directory. Sometimes +we’ll also call it the <dipy root> directory.

+
+
+

Building and installing#

+ +
+

Install from source for Unix (e.g Linux, macOS)#

+

Change directory into the DIPY source root directory.

+

First, install some python build packages:

+
pip install -r requirements/build.txt
+
+
+

Then, to install for the system:

+
pip install dipy
+
+
+

Or, to build DIPY in the source tree (locally) so you can run the code in the source tree (recommended for following the latest source) run:

+
pip install --no-build-isolation --user -e .
+
+
+

add the DIPY source root directory into your PYTHONPATH environment variable. Search google for PYTHONPATH for details or see python module path for an introduction.

+

When adding dipy to the PYTHONPATH, we usually add the PYTHONPATH at +the end of ~/.bashrc or (macOS) ~/.bash_profile so we don’t need to +retype it every time. This should look something like:

+
export PYTHONPATH="/home/user_dir/Devel/dipy:$PYTHONPATH"
+
+
+

After changing the ~/.bashrc or (macOS) ~/.bash_profile try:

+
source ~/.bashrc
+
+
+

or:

+
source ~/.bash_profile
+
+
+

so that you can have immediate access to DIPY without needing to +restart your terminal.

+
+
+

Ubuntu/Debian#

+
sudo apt-get install python-dev python-setuptools
+sudo apt-get install python-numpy python-scipy
+sudo apt-get install cython
+
+
+

then:

+
sudo pip install nibabel
+
+
+

(we need the latest version of this one - hence pip rather than +apt-get).

+

You might want the optional packages too (highly recommended):

+
sudo apt-get install ipython python-h5py python-vtk python-matplotlib
+
+
+

Now follow Install from source for Unix (e.g Linux, macOS).

+
+
+

Fedora / Mandriva maybe Redhat#

+

Same as above but use yum rather than apt-get when necessary.

+

Now follow Install from source for Unix (e.g Linux, macOS).

+
+
+

Windows#

+

Anaconda is probably the easiest way to install the dependencies that you need. +To build from source, you will also need to install the exact compiler which is +used with your specific version of python.

+

For getting this information, type this command in shell like cmd or Powershell:

+
python -c "import platform;print(platform.python_compiler())"
+
+
+

This command should print information of this form:

+
MSC v.1900 64 bit (AMD64)
+
+
+

Now that you find the relevant compiler, you have to install the VisualStudioBuildTools +by respecting the following table:

+
Visual C++ 2008  (9.0)          MSC_VER=1500
+Visual C++ 2010 (10.0)          MSC_VER=1600
+Visual C++ 2012 (11.0)          MSC_VER=1700
+Visual C++ 2013 (12.0)          MSC_VER=1800
+Visual C++ 2015 (14.0)          MSC_VER=1900
+Visual C++ 2017 (15.0)          MSC_VER=1910
+Visual C++ 2019 (16.0)          MSC_VER=1920
+Visual C++ 2022 (17.0)          MSC_VER=1930
+
+
+

After the VisualStudioBuildTools installation, restart a command shell and +change directory into the DIPY source root directory.

+

Start to install the build tools:

+
pip install -r requirements/build.txt
+
+
+

Then to install into your system:

+
pip install dipy
+
+
+

To install inplace - so that DIPY is running out of the source code directory:

+
pip install --no-build-isolation --user -e .
+
+
+

(this is the mode we recommend for following the latest source code).

+

If you get an error saying “unable to find vcvarsall.bat” then you need to +check your environment variable PATH or reinstall VisualStudioBuildTools. +Setuptools should automatically detect the compiler and use it.

+
+
+

macOS#

+

Make sure you have Xcode and Anaconda installed.

+

From here follow the Install from source for Unix (e.g Linux, macOS) instructions.

+
+
+

OpenMP with macOS#

+

OpenMP is a standard library for efficient multithreaded applications. This +is used in DIPY for speeding up many different parts of the library (e.g., denoising +and bundle registration). If you do not have an OpenMP-enabled compiler, you can +still compile DIPY from source using the above instructions, but it might not take +advantage of the multithreaded parts of the code. To be able to compile +DIPY from source with OpenMP on macOS, you will have to do a few more things. First +of all, you will need to install the Homebrew package manager. Next, you will need +to install and configure the compiler. You have two options: using the GCC compiler +or the CLANG compiler. This depends on your python installation:

+
+

Under Anaconda#

+

We recommend to install llvm via Anaconda. Run the following:

+
conda install -c conda-forge llvm-openmp
+
+
+

In case the compiler is not detected automatically, you can specify the compiler +by using the environment variable CC.

+
+
+

Under Homebrew Python or python.org Python#

+

If you are already using the Homebrew Python, or the standard python.org Python, +you will need to use the llvm compiler with OMP. Run:

+
brew install llvm
+export CC=/usr/local/bin/clang-omp
+
+
+
+
+

Building and installing#

+

Whether you are using Anaconda or Hombrew/python.org Python, you will need to then +run pip install dipy. When you do that, it should now +compile the code with this OpenMP-enabled compiler, and things should go faster!

+
+
+
+
+

Testing#

+

If you want to run the tests:

+
sudo pip install pytest
+
+
+

Then, in the terminal from <dipy root>:

+
pytest -svv dipy
+
+
+

You can also run the examples in <dipy root>/doc.

+
+
+

Documentation#

+

To build the documentation in HTML in your computer you will need to do:

+
sudo pip install sphinx
+
+
+

Then change directory to <dipy root> and:

+
cd doc
+make clean
+make -C . html
+
+
+
+

Tip#

+

Building the entire DIPY documentation takes a few hours. You may want to +skip building the documentation for the examples, which will reduce the +documentation build time to a few minutes. You can do so by executing:

+
make -C . html-no-examples
+
+
+
+
+

Troubleshooting#

+

If you encounter the following error when trying to build the documentation:

+
tools/build_modref_templates.py dipy reference
+*WARNING* API documentation not generated: Can not import dipy
+tools/docgen_cmd.py dipy reference_cmd
+*WARNING* Command line API documentation not generated: Cannot import dipy
+Build API docs...done.
+cd examples_built && ../../tools/make_examples.py
+Traceback (most recent call last):
+  File "../../tools/make_examples.py", line 33, in <module>
+    import dipy
+ModuleNotFoundError: No module named 'dipy'
+
+
+

it is probably due to a conflict between the picked Sphinx version: this +happens when the system’s Sphinx package is used instead of the virtual +environment’s Sphinx package, and the former trying to import a DIPY +version in the system: the Sphinx package used should correspond to that of +the virtual environment where DIPY lives. This can be solved by specifying +the path to the Sphinx package in the virtual environment:

+
make html SPHINXBUILD='python <path_to_sphinx>/sphinx-build'
+
+
+
+
+
+ + +
+ + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ + + + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/dev/devel/toolchain.html b/dev/devel/toolchain.html new file mode 100644 index 00000000..b51802d4 --- /dev/null +++ b/dev/devel/toolchain.html @@ -0,0 +1,1517 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
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+ +
+ + +
+
+ +
+
+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +
+

🛠️ Toolchain Roadmap#

+

The DIPY library relies on a set of primary dependencies, most notably Python, +NumPy and Nibabel to function effectively. Additionally, a broader array of +libraries and tools is necessary for both building the library and constructing +its documentation.

+

It’s important to note that these tools and libraries are continuously evolving. +This document aims to outline how DIPY will manage its usage of these dynamic +dependencies over time.

+

DIPY strives to maintain compatibility across multiple releases of its +dependent libraries and tools. Requiring users to switch to other components +with every release would significantly reduce the value of DIPY. Nevertheless, +retaining compatibility with older toolsets and libraries sets boundaries on +incorporating newer functionalities and capabilities.

+

DIPY adopts a moderately conservative approach by ensuring compatibility with +several major releases of Python and NumPy across major platforms. However, +this stance may introduce further constraints, as illustrated in the C Compilers +section.

+
    +
  • First and foremost, DIPY is a Python project, hence it requires a Python environment.

  • +
  • Compilers for C code is needed, as well as for Cython.

  • +
  • The Python environment needs NumPy and Nibabel package to be installed.

  • +
  • Testing requires the pytest Python packages.

  • +
  • Building the documentation requires Sphinx packages along with sphinx_design, +sphinxcontrib-bibtex, sphinx-gallery, PyData/GRG theme.

  • +
+
+

Building DIPY#

+
+

Python Versions#

+

DIPY is compatible with several versions of Python. When dropping support for +older Python versions, DIPY takes guidance from Scientific-Python SPECS. +Python 2.7 support was dropped starting from DIPY 1.0.0

+ + + + + + + + + + + + + + + + + + + + + + + + + + +

Date

Pythons supported

2018

Py2.7, Py3.4+ (DIPY 0.16.x is the last release to support Python 2.7)

2019

Py3.5+

mid-2020

Py3.6+

2022

Py3.7+

mid-2023

Py3.8+

2024

Py3.9+

+
+
+

NumPy#

+

While DIPY relies on NumPy, its releases are not bound to specific NumPy +releases. Instead, DIPY strives for compatibility with at least the four +preceding releases of NumPy. This approach necessitates writing DIPY using +features common to all these versions, rather than relying solely on the +latest NumPy features [1].

+

The table provided illustrates the compatible NumPy versions for each major +Python release.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

DIPY version

Python versions

NumPy versions

0.16.0

2.7, >=3.4, <=3.7

>=1.8.2, <= 1.16.x

1.0.0

>=3.5, <=3.7

>=1.13.3, <= 1.16.x

1.1.0/1

>=3.5, <=3.8

>=1.13.3, <= 1.17.3

1.2.0

>=3.6, <=3.8

>=1.14.5, <= 1.17.3

1.3.0

>=3.6, <=3.8

>=1.14.5, <1.17.3

1.4.0/1

>=3.6, <=3.9

>=1.14.5, <1.20.x

1.5.0

>=3.7, <=3.10

>=1.16.x, <1.23.0

1.6.0

>=3.7, <=3.11

>=1.16.x, <1.24.0

1.7.0

>=3.8, <=3.11

>=1.19.5, <1.24.0

1.8.0

>=3.8, <=3.12

>=1.19.5, <1.26.0

1.9.0

>=3.9, <3.12

>=1.21.6, <1.27.0

+
+

Note

+

The table above is not exhaustive. In specific cases, such as a +particular architecture, these requirements could vary.

+
+
+
+

Compilers#

+

Building DIPY requires compilers for C as well as the python transpilers +Cython.

+

To maintain compatibility with a large number of platforms & setups, especially +where using the official wheels (or other distribution channels like Anaconda +or conda-forge) is not possible, DIPY tries to keep compatibility with older +compilers, on platforms that have not yet reached their official end-of-life.

+

As explained in more detail below, the current minimal compiler versions are:

+ + + + + + + + + + + + + + + + + + + + + + + + + +

Compiler

Default Platform (tested)

Secondary Platform (untested)

Minimal Version

GCC

Linux

AIX, Alpine Linux, OSX

GCC 8.x

LLVM

OSX

Linux, FreeBSD, Windows

LLVM 10.x

MSVC

Windows

    +
  • +
+

Visual Studio 2019 (vc142)

+

Note that the lower bound for LLVM is not enforced. Older versions should +work, but no version below LLVM 12 is tested regularly during development. +Please file an issue if you encounter a problem during compilation.

+
+

Official Builds#

+

Currently, DIPY wheels are being built as follows:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Platform

CI Base Images [2] [3] [4]

Compilers

Comment

Linux x86

ubuntu-22.04

GCC 10.2.1

cibuildwheel

Linux arm

docker-builder-arm64

GCC 11.3.0

cibuildwheel

OSX x86

macOS-11

clang-13

cibuildwheel

OSX arm

macos-monterey-xcode:14

clang-13.1.6

cibuildwheel

Windows

windows-2019

Microsoft Visual 2019 (14.20)

cibuildwheel

+
+
+
+
+

Testing and Benchmarking#

+

Testing and benchmarking require recent versions of:

+ + + + + + + + + + + + + + + + + +

Tool

Version

URL

pytest

Recent

https://docs.pytest.org/en/latest/

asv (airspeed velocity)

Recent

https://asv.readthedocs.io/

+
+
+

Building the Documentation#

+ + + + + + + + + + + + + + + + + + + + + + + + + + +

Tool

Version

Sphinx

Whatever recent versions work. >= 6.0.

GRG Sphinx theme

Whatever recent versions work. >= 0.3.1.

Sphinx-Design

Whatever recent versions work. >= 0.5.0.

numpydoc

Whatever recent versions work. >= 1.6.0.

Sphinx-Gallery

Whatever recent versions work. >= 0.15.0.

Sphinxcontrib-bibtex

Whatever recent versions work. >= 2.6.1

+
+

Note

+

Developer Note: The documentation build might require additional libraries +based on the examples provided. Specifically, the versions of “numpy” and +“nibabel” needed have implications for the Python docstring examples.

+

It’s essential for these examples to execute seamlessly in both the +documentation build environment and any supported versions of “numpy/nibabel” +that users might utilize with this DIPY release.

+
+
+
+

Packaging#

+

A Recent version of:

+ + + + + + + + + + + + + + + + + + + + + +

Tool

Version

URL

meson-python

Recent

https://meson-python.readthedocs.io/en/latest/

wheel

Recent

https://pythonwheels.com

cibuildwheel

Recent

https://cibuildwheel.readthedocs.io/en/stable/

+

A guide to making a DIPY release contain information on making and distributing a +DIPY release.

+
+
+

References#

+ +
+
+ + +
+ + + + + +
+ + + + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/dev/examples_built/sg_execution_times.html b/dev/examples_built/sg_execution_times.html new file mode 100644 index 00000000..c072d626 --- /dev/null +++ b/dev/examples_built/sg_execution_times.html @@ -0,0 +1,1139 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
+

Computation times#

+

00:00.000 total execution time for 0 files from examples_built:

+
+ + + + + + + + + + + + + + + + + +

Example

Time

Mem (MB)

N/A

N/A

N/A

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+ + + + + + + + + + + + \ No newline at end of file diff --git a/dev/recipes.html b/dev/recipes.html new file mode 100644 index 00000000..1ff07060 --- /dev/null +++ b/dev/recipes.html @@ -0,0 +1,1159 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +
+

Recipes#

+

How do I do X in DIPY? This page contains a collection of recipes that will +help you quickly resolve common basic/advanced operation. If you have a question +that is not answered here, please ask on the dipy discussions or even better, +answer it yourself and contribute to the documentation!

+
+ +How do I convert my tractograms?
+
+
+
+
+

We recommend to look at the tutorials Streamline File Formats

+
from dipy.io.streamline import load_tractogram, save_tractogram
+
+# convert from fib to trk
+my_fib_file_path = '/<my_folder>/<my_path>/my_tractogram.fib'
+my_trk_file_path = '/<my_folder>/<my_path>/my_tractogram.trk'
+my_trk = load_tractogram(my_fib_file_path, 'same')
+save_tractogram(my_trk.streamlines, my_trk_file_path, 'same')
+
+
+
+
+ +How do I convert my Spherical Harmonics from DIPY to MRTRIX3?
+
+
+
+
+

*Available only on master branch. See this thread for more information.

+
from dipy.reconst.shm import convert_sh
+convert_sh('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz')
+
+
+
+
+ +How do I convert my tensors from DIPY to FSL?
+
+
+
+
+

*Available only on master branch

+
from dipy.io import convert_tensor
+convert_tensor('dti.nii.gz', 'dti.bval', 'dti.bvec', 'fsl', 'dti.nii.gz')
+
+
+
+
+ + +
+ + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ + + + +
+
+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/dev/reference_cmd/dipy_buan_shapes.html b/dev/reference_cmd/dipy_buan_shapes.html new file mode 100644 index 00000000..e15df46e --- /dev/null +++ b/dev/reference_cmd/dipy_buan_shapes.html @@ -0,0 +1,1181 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + + + +
+ +
+

dipy_buan_shapes#

+
+

Usage#

+

dipy_buan_shapes [-h] [–clust_thr [float …]] [–threshold float] [–out_dir str] subject_folder

+

Workflow of bundle analytics.

+

Applies bundle shape similarity analysis on bundles of subjects and saves the results in a directory specified by out_dir.

+
+
+

Positional Arguments#

+
+

subject_folder Path to the input subject folder. This path may contain wildcards to process multiple inputs at once.

+
+
+
options:
+
-h, --help
+

show this help message and exit

+
+
+
+
–clust_thr [float …]

list of bundle clustering thresholds used in QuickBundlesX.

+
+
+
+
--threshold float
+

Bundle shape similarity threshold.

+
+
+
+
+
+
+

Output Arguments(Optional)#

+
+
+
--out_dir str
+

Output directory. (default current directory)

+
+
+
+
+
+

References#

+
+
+[Chandio2020] +

Chandio, B.Q., Risacher, S.L., Pestilli, F.,Bullock, D., Yeh, FC., Koudoro, S., Rokem, A., Harezlak, J., andGaryfallidis, E. Bundle analytics, a computational framework forinvestigating the shapes and profiles of brain pathways acrosspopulations. Sci Rep 10, 17149 (2020)

+
+
+

Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.

+
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+ + +
+ + + +
+ +
+ +
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+ +
+ +
+ +
+ + + +
+ + +
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+ +
+ +
+
+
+ + + + + + + + + + + + \ No newline at end of file diff --git a/dev/release_notes/release1.8.html b/dev/release_notes/release1.8.html new file mode 100644 index 00000000..4a5cfffb --- /dev/null +++ b/dev/release_notes/release1.8.html @@ -0,0 +1,1533 @@ + + + + + + + + + + + DIPY — dipy 1.8.0.dev0+1238.1688eee documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + + + +
+ +
+

Release notes for DIPY version 1.8#

+

GitHub stats for 2023/04/23 - 2023/12/13 (tag: 1.7.0)

+

These lists are automatically generated, and may be incomplete or contain duplicates.

+

The following 28 authors contributed 733 commits.

+
    +
  • Ariel Rokem

  • +
  • Atharva Shah

  • +
  • Bramsh Qamar

  • +
  • Charles Poirier

  • +
  • Dimitri Papadopoulos

  • +
  • Eleftherios Garyfallidis

  • +
  • Emmanuelle Renauld

  • +
  • Eric Larson

  • +
  • Francois Rheault

  • +
  • Gabriel Girard

  • +
  • Javier Guaje

  • +
  • John Kruper

  • +
  • Jon Haitz Legarreta Gorroño

  • +
  • Jong Sung Park

  • +
  • Maharshi Gor

  • +
  • Michael R. Crusoe

  • +
  • Nicolas Delinte

  • +
  • Paul Camacho

  • +
  • Philippe Karan

  • +
  • Rafael Neto Henriques

  • +
  • Sam Coveney

  • +
  • Samuel St-Jean

  • +
  • Serge Koudoro

  • +
  • Shilpi Prasad

  • +
  • Theodore Ni

  • +
  • Vara Lakshmi Bayanagari

  • +
  • dependabot[bot]

  • +
  • Étienne Mollier

  • +
+

We closed a total of 327 issues, 130 pull requests and 197 regular issues; +this is the full list (generated with the script +tools/github_stats.py):

+

Pull Requests (129):

+
    +
  • PR #3009: [DOC] Update installation instruction [ci skip]

  • +
  • PR #2999: TEST: Set explicitly CLARABEL as the CVXPY solver

  • +
  • PR #2943: BF: Fix bundlewarp shape analysis profile values for all False mask

  • +
  • PR #2992: RGB support for images

  • +
  • PR #2989: BF: Mask 1 values in leveraged, residual matrix computation

  • +
  • PR #3007: [RF] Define minimum version for some optional packages

  • +
  • PR #3006: [NF] Introduce minimum version in optional_package

  • +
  • PR #3002: [RF] Improve scripts and import management

  • +
  • PR #3005: Bump actions/setup-python from 4 to 5

  • +
  • PR #3004: TEST: Check and filter PCA dimensionality problem warning

  • +
  • PR #2996: RF: Fix b0 threshold warnings

  • +
  • PR #2995: [MTN] remove custom module _importlib

  • +
  • PR #2998: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test

  • +
  • PR #3001: RF: Create PCA denoising utils methods

  • +
  • PR #3000: RF: Prefer raising sklearn package warnings when required

  • +
  • PR #2997: TEST: Filter warning about resorting to OLS fitting method

  • +
  • PR #2991: MTN: fix byte swap ordering for numpy 2.0

  • +
  • PR #2987: STYLE: Make cvxpy-dependent test checking consistent in test_mcsd

  • +
  • PR #2990: STYLE: Use .astype() on uninitialized array casting

  • +
  • PR #2984: DOC: Miscellaneous documentation improvements

  • +
  • PR #2988: STYLE: Remove unused import in dipy/core/gradients.py

  • +
  • PR #2985: Bump conda-incubator/setup-miniconda from 2 to 3

  • +
  • PR #2986: DOC: Fix typos and grammar in lcr_matrix function documentation

  • +
  • PR #2983: STYLE: Fix boolean variable negation warnings

  • +
  • PR #2981: [MTN] replace the deprecated sctypes

  • +
  • PR #2980: [FIX] int_t to npy_intp

  • +
  • PR #2978: DOC: Fix issue template [ci skip]

  • +
  • PR #2976: [MTN] Update index url for PRE-Wheels dependencies

  • +
  • PR #2975: connectivity_matrix code speed up

  • +
  • PR #2715: Enable building DIPY with Meson

  • +
  • PR #2964: RF: Moving to numpy.random.Generator from numpy.random

  • +
  • PR #2963: NF: Updating EVAC+ model and adding util function

  • +
  • PR #2974: [MTN] Disable github check annotations

  • +
  • PR #2956: Adding support for btens to multi_shell_fiber_response function

  • +
  • PR #2969: bugfix for –force issue

  • +
  • PR #2967: Feature/opacity checkbox

  • +
  • PR #2966: volume slider fix

  • +
  • PR #2958: TEST: Filter legacy SH bases warnings in bootstrap direction getter test

  • +
  • PR #2944: [DOC] Remove ..figure directive in examples

  • +
  • PR #2961: fixes for pep8 in previous PR

  • +
  • PR #2922: synchronized-slicers for same size

  • +
  • PR #2924: Additional check for horizon

  • +
  • PR #2957: STYLE: Fix typo in msdki reconstruction test name

  • +
  • PR #2941: TEST: Fix NumPy array to scalar value conversion warning

  • +
  • PR #2932: OPT - Optimized pmfgen

  • +
  • PR #2929: Stabilizing some test functions with set random seeds

  • +
  • PR #2954: TEST: Bring back Python 3.8 testing to GHA workflows

  • +
  • PR #2946: RF: Refactor duplicate code in qtdmri to mapmri coeff computation

  • +
  • PR #2947: RF - BootDirectionGetter

  • +
  • PR #2945: DOC: Fix miscellaneous docstrings

  • +
  • PR #2940: TEST: Filter legacy SH bases warnings in PTT direction getter test

  • +
  • PR #2938: TEST: Adding random generator with seed to icm tests

  • +
  • PR #2942: OPT: Delegate to NumPy creating a random matrix

  • +
  • PR #2939: DOC: Update jhlegarreta affiliation in developers

  • +
  • PR #2933: fixed bug with fit extra returns

  • +
  • PR #2930: Update of the tutorial apply image-based registration to streamlines

  • +
  • PR #2759: TRX integration

  • +
  • PR #2923: [DOC] Large documentation update

  • +
  • PR #2825: NF - add initial directions to local tracking

  • +
  • PR #2892: BF - fixed random generator seed value too large to convert to int error

  • +
  • PR #2926: ENH: MSMT CSD module unique b-val tolerance parameter improvements

  • +
  • PR #2927: DOC: Fix package name in documentation config file comment

  • +
  • PR #2925: STYLE: Fix miscellaneous Numpy warnings

  • +
  • PR #2781: Small fixes in functions

  • +
  • PR #2910: STYLE: f-strings

  • +
  • PR #2921: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject

  • +
  • PR #2906: [FIX] Pin scipy for the conda failing CI’s

  • +
  • PR #2920: Mark Python3 files as such

  • +
  • PR #2919: fix various grammar errors

  • +
  • PR #2915: DOC: http://https://

  • +
  • PR #2916: Build(deps): Bump codespell-project/actions-codespell from 1 to 2

  • +
  • PR #2914: GitHub Actions

  • +
  • PR #2816: Correlation Tensor Imaging

  • +
  • PR #2912: MAINT: the symbol for second is s, not sec.

  • +
  • PR #2902: Short import for horizon

  • +
  • PR #2904: Apply refurb suggestions

  • +
  • PR #2899: DOC: Fix typos newly found by codespell

  • +
  • PR #2891: Apply pyupgrade suggestions

  • +
  • PR #2898: Remove zip operation in transform_tracking_output

  • +
  • PR #2897: BF: Bug when downloading hbn data.

  • +
  • PR #2893: Remove consecutive duplicate words

  • +
  • PR #2894: Get rid of trailing spaces in text files

  • +
  • PR #2889: Apply pyupgrade suggestions

  • +
  • PR #2888: Fix typos newly found by codespell

  • +
  • PR #2887: Update shm.py

  • +
  • PR #2814: [Fix] Horizon: Binary image loading

  • +
  • PR #2885: [ENH] Add minimum length to streamline generator

  • +
  • PR #2875: Increased PTT performances

  • +
  • PR #2879: Add fetcher for a sample CTI dataset

  • +
  • PR #2882: Change license_file to license_files in setup.cfg

  • +
  • PR #2804: Adding diffusion data descriptions from references to reconstruction table

  • +
  • PR #2730: Fix weighted Jacobians, return extra fit data, add adjacency function

  • +
  • PR #2821: NF - added pft min wm parameter

  • +
  • PR #2876: Introduction of pydata theme for sphinx

  • +
  • PR #2846: Vara’s Week 8 & Week 9 blog

  • +
  • PR #2870: Vara’s Week 12 and Week 13 blog

  • +
  • PR #2865: Shilpi’s Week0&Week1 combined

  • +
  • PR #2868: Submitting Week13.rst file

  • +
  • PR #2871: Corrected paths to static files

  • +
  • PR #2863: Shilpi’s Week12 Blog.

  • +
  • PR #2856: Adding Week 11 Blog

  • +
  • PR #2849: Shilpi’s 10th Blog

  • +
  • PR #2847: Pushing Week 8 + 9 blog

  • +
  • PR #2836: Shilpi’s Week 5 blog

  • +
  • PR #2864: Change internal space/origin when using sft.to_x() with an empty sft.

  • +
  • PR #2806: BF - initial backward orientation of local tracking

  • +
  • PR #2862: Vara’s Week 10 & Week 11 blog

  • +
  • PR #2843: Pushing 7th_blog

  • +
  • PR #2841: Vara’s Week 6 & Week 7 blog

  • +
  • PR #2835: Vara’s week 5 blog

  • +
  • PR #2829: Pushing 3rd blog

  • +
  • PR #2828: Vara’s week 3 blog

  • +
  • PR #2860: Updates HCP fetcher dataset_description to be compatible with current BIDS

  • +
  • PR #2831: Vara’s week 4 blog

  • +
  • PR #2833: Pushing 4thBlog

  • +
  • PR #2840: Shilpi’s Week6 Blog

  • +
  • PR #2839: make order_from_ncoef return an int

  • +
  • PR #2844: doc/tools/: fix trailing dot in version number.

  • +
  • PR #2832: BundleWarp: added tutorial and fixed a small bug

  • +
  • PR #2818: Vara’s week 0 blog

  • +
  • PR #2823: submitting clearn PR for 2nd blog

  • +
  • PR #2813: First Blog

  • +
  • PR #2808: [DOC] Fix cross referencing

  • +
  • PR #2798: Move evac+ to new module nn

  • +
  • PR #2797: remove Nibabel InTemporaryDirectory

  • +
  • PR #2800: Remove the Deprecating nisext

  • +
  • PR #2795: bump dependencies minimal version

  • +
  • PR #2792: Add patch_radius parameter to Patch2Self denoise workflow

  • +
  • PR #2761: [UPCOMING] Release 1.7.0 - workshop release

  • +
+

Issues (197):

+
    +
  • #3009: [DOC] Update installation instruction [ci skip]

  • +
  • #2999: TEST: Set explicitly CLARABEL as the CVXPY solver

  • +
  • #2943: BF: Fix bundlewarp shape analysis profile values for all False mask

  • +
  • #2992: RGB support for images

  • +
  • #2989: BF: Mask 1 values in leveraged, residual matrix computation

  • +
  • #3007: [RF] Define minimum version for some optional packages

  • +
  • #3006: [NF] Introduce minimum version in optional_package

  • +
  • #1256: script path can not be found on OSX

  • +
  • #3002: [RF] Improve scripts and import management

  • +
  • #3005: Bump actions/setup-python from 4 to 5

  • +
  • #3004: TEST: Check and filter PCA dimensionality problem warning

  • +
  • #2996: RF: Fix b0 threshold warnings

  • +
  • #2995: [MTN] remove custom module _importlib

  • +
  • #2998: TEST: Filter SciPy 0.18.0 1-D affine transform array warning in test

  • +
  • #3001: RF: Create PCA denoising utils methods

  • +
  • #3000: RF: Prefer raising sklearn package warnings when required

  • +
  • #2997: TEST: Filter warning about resorting to OLS fitting method

  • +
  • #2979: Prerelease wheels not NumPy 2.0.0.dev compatible

  • +
  • #2991: MTN: fix byte swap ordering for numpy 2.0

  • +
  • #2987: STYLE: Make cvxpy-dependent test checking consistent in test_mcsd

  • +
  • #2990: STYLE: Use .astype() on uninitialized array casting

  • +
  • #2984: DOC: Miscellaneous documentation improvements

  • +
  • #2988: STYLE: Remove unused import in dipy/core/gradients.py

  • +
  • #2985: Bump conda-incubator/setup-miniconda from 2 to 3

  • +
  • #2986: DOC: Fix typos and grammar in lcr_matrix function documentation

  • +
  • #2905: base tests

  • +
  • #2983: STYLE: Fix boolean variable negation warnings

  • +
  • #2981: [MTN] replace the deprecated sctypes

  • +
  • #2980: [FIX] int_t to npy_intp

  • +
  • #2978: DOC: Fix issue template [ci skip]

  • +
  • #2976: [MTN] Update index url for PRE-Wheels dependencies

  • +
  • #2975: connectivity_matrix code speed up

  • +
  • #2514: Reshape our packaging system

  • +
  • #2715: Enable building DIPY with Meson

  • +
  • #2964: RF: Moving to numpy.random.Generator from numpy.random

  • +
  • #2736: dipy_horizon needs –force option if there is tmp.png

  • +
  • #2960: add type annotation in io module

  • +
  • #2803: Type annotations integration

  • +
  • #2963: NF: Updating EVAC+ model and adding util function

  • +
  • #2974: [MTN] Disable github check annotations

  • +
  • #2956: Adding support for btens to multi_shell_fiber_response function

  • +
  • #2969: bugfix for –force issue

  • +
  • #2967: Feature/opacity checkbox

  • +
  • #2965: Pip installation issues with python 3.12

  • +
  • #2968: Pip installation issues with python 3.12

  • +
  • #2966: volume slider fix

  • +
  • #2958: TEST: Filter legacy SH bases warnings in bootstrap direction getter test

  • +
  • #2801: Some left-overs from sphinx-gallery conversion

  • +
  • #2944: [DOC] Remove ..figure directive in examples

  • +
  • #2961: fixes for pep8 in previous PR

  • +
  • #2922: synchronized-slicers for same size

  • +
  • #2878: DIPY reinstall doesn’t automatically update needed dependencies

  • +
  • #2924: Additional check for horizon

  • +
  • #2957: STYLE: Fix typo in msdki reconstruction test name

  • +
  • #2941: TEST: Fix NumPy array to scalar value conversion warning

  • +
  • #2932: OPT - Optimized pmfgen

  • +
  • #2929: Stabilizing some test functions with set random seeds

  • +
  • #2954: TEST: Bring back Python 3.8 testing to GHA workflows

  • +
  • #2953: [WIP] Nlmeans update

  • +
  • #2946: RF: Refactor duplicate code in qtdmri to mapmri coeff computation

  • +
  • #2955: set_number_of_points function not found for dipy 1.7.0

  • +
  • #2947: RF - BootDirectionGetter

  • +
  • #2952: Delete dipy/denoise/nlmeans.py

  • +
  • #2949: HBN fetcher failed

  • +
  • #2945: DOC: Fix miscellaneous docstrings

  • +
  • #718: Create an example of multi b-value SFM

  • +
  • #2523: Doc generation failed

  • +
  • #2940: TEST: Filter legacy SH bases warnings in PTT direction getter test

  • +
  • #2928: test_icm_square failing on and off

  • +
  • #2938: TEST: Adding random generator with seed to icm tests

  • +
  • #2942: OPT: Delegate to NumPy creating a random matrix

  • +
  • #2939: DOC: Update jhlegarreta affiliation in developers

  • +
  • #2933: fixed bug with fit extra returns

  • +
  • #2936: Automatic Fiber Bundle Extraction with RecoBundles in DIPY 1.7 broken?

  • +
  • #2934: demo code not working

  • +
  • #2787: Adds a pyproject file.

  • +
  • #2786: “Image based streamlines_registration: unable to warp streamlines into template”

  • +
  • #2400: Applying image-based deformations to streamlines example

  • +
  • #2703: Image based streamlines_registration: unable to warp streamlines into template space

  • +
  • #2930: Update of the tutorial apply image-based registration to streamlines

  • +
  • #2759: TRX integration

  • +
  • #2931: Add caption to sphinx gallery figure

  • +
  • #2560: MCSD Tutorial failed with cvxpy>=1.1.15

  • +
  • #2794: Add a search box to the DIPY documentation

  • +
  • #2815: Reconstruction table of content doesn’t connect to MAP+

  • +
  • #2923: [DOC] Large documentation update

  • +
  • #2790: DTI fitting function with NLLS method raises an error.

  • +
  • #2872: Website image (not showing up or wrong tag showing)

  • +
  • #2884: WIP: trx integration

  • +
  • #2825: NF - add initial directions to local tracking

  • +
  • #2892: BF - fixed random generator seed value too large to convert to int error

  • +
  • #2926: ENH: MSMT CSD module unique b-val tolerance parameter improvements

  • +
  • #2927: DOC: Fix package name in documentation config file comment

  • +
  • #2925: STYLE: Fix miscellaneous Numpy warnings

  • +
  • #2777: Error using dipy_motion_correct

  • +
  • #2781: Small fixes in functions

  • +
  • #2648: Issues with dipy_align_syn

  • +
  • #2900: format → f-strings?

  • +
  • #2910: STYLE: f-strings

  • +
  • #2921: [FIX] tiny fix to HBN fetcher to also grab T1 for each subject

  • +
  • #2906: [FIX] Pin scipy for the conda failing CI’s

  • +
  • #2920: Mark Python3 files as such

  • +
  • #2919: fix various grammar errors

  • +
  • #2915: DOC: http://https://

  • +
  • #2896: Interactive examples for dipy

  • +
  • #2901: patch2self question

  • +
  • #2916: Build(deps): Bump codespell-project/actions-codespell from 1 to 2

  • +
  • #2914: GitHub Actions

  • +
  • #2816: Correlation Tensor Imaging

  • +
  • #2912: MAINT: the symbol for second is s, not sec.

  • +
  • #2913: DOC: fix links

  • +
  • #2902: Short import for horizon

  • +
  • #2908: Voxel correspondance between Non-Linearly aligned Volumes

  • +
  • #2890: Attempt to fix error in conda jobs

  • +
  • #2907: Temp - Gab PR

  • +
  • #2904: Apply refurb suggestions

  • +
  • #2903: Typo in the skills required section (Project 2) of Project Ideas

  • +
  • #2899: DOC: Fix typos newly found by codespell

  • +
  • #2891: Apply pyupgrade suggestions

  • +
  • #2898: Remove zip operation in transform_tracking_output

  • +
  • #2897: BF: Bug when downloading hbn data.

  • +
  • #2893: Remove consecutive duplicate words

  • +
  • #2894: Get rid of trailing spaces in text files

  • +
  • #2889: Apply pyupgrade suggestions

  • +
  • #2888: Fix typos newly found by codespell

  • +
  • #2887: Update shm.py

  • +
  • #2814: [Fix] Horizon: Binary image loading

  • +
  • #2885: [ENH] Add minimum length to streamline generator

  • +
  • #1372: Change direction getter dictionary keys from floats[3] to int

  • +
  • #2805: Incorrect initial direction for the backward segment of local tracking

  • +
  • #2875: Increased PTT performances

  • +
  • #2883: Adding last,Week14Blog

  • +
  • #2879: Add fetcher for a sample CTI dataset

  • +
  • #2769: DOC example for data_per_streamline usage

  • +
  • #2774: Added a tutorial in doc folder for saving labels.

  • +
  • #2882: Change license_file to license_files in setup.cfg

  • +
  • #2881: Adding fetcher in the test_file for #2879

  • +
  • #2867: Bug in PFT when changing the random function

  • +
  • #2804: Adding diffusion data descriptions from references to reconstruction table

  • +
  • #2820: fixed bug for nlls fitting

  • +
  • #2746: Weighted Non-Linear Fitting may be wrong

  • +
  • #2730: Fix weighted Jacobians, return extra fit data, add adjacency function

  • +
  • #2821: NF - added pft min wm parameter

  • +
  • #2876: Introduction of pydata theme for sphinx

  • +
  • #2846: Vara’s Week 8 & Week 9 blog

  • +
  • #2870: Vara’s Week 12 and Week 13 blog

  • +
  • #2865: Shilpi’s Week0&Week1 combined

  • +
  • #2868: Submitting Week13.rst file

  • +
  • #2871: Corrected paths to static files

  • +
  • #2873: Motion estimate

  • +
  • #2863: Shilpi’s Week12 Blog.

  • +
  • #2856: Adding Week 11 Blog

  • +
  • #2849: Shilpi’s 10th Blog

  • +
  • #2847: Pushing Week 8 + 9 blog

  • +
  • #2836: Shilpi’s Week 5 blog

  • +
  • #2864: Change internal space/origin when using sft.to_x() with an empty sft.

  • +
  • #2806: BF - initial backward orientation of local tracking

  • +
  • #2862: Vara’s Week 10 & Week 11 blog

  • +
  • #2843: Pushing 7th_blog

  • +
  • #2841: Vara’s Week 6 & Week 7 blog

  • +
  • #2835: Vara’s week 5 blog

  • +
  • #2829: Pushing 3rd blog

  • +
  • #2828: Vara’s week 3 blog

  • +
  • #2860: Updates HCP fetcher dataset_description to be compatible with current BIDS

  • +
  • #2831: Vara’s week 4 blog

  • +
  • #1883: Interesting dataset for linear, planar, spherical encoding

  • +
  • #2491: ENH: Extend Horizon to visualize 2 volumes simultaneously

  • +
  • #2812: Patch2self denoising followed by topup and eddy corrections worsens distortions in the orbitofrontal region

  • +
  • #2833: Pushing 4thBlog

  • +
  • #2858: Odffp

  • +
  • #2857: Odffp

  • +
  • #2840: Shilpi’s Week6 Blog

  • +
  • #2838: Reconstruction issues using MAP-MRI model (RTOP, RTAP, RTPP)

  • +
  • #2845: MAP ODF issues

  • +
  • #2851: How to use “synb0” in Dipy for preprocessing

  • +
  • #2839: make order_from_ncoef return an int

  • +
  • #2844: doc/tools/: fix trailing dot in version number.

  • +
  • #2827: BundleWarp CLI Tutorial - Missing from Website

  • +
  • #2832: BundleWarp: added tutorial and fixed a small bug

  • +
  • #1627: WIP - NF - Tracking with Initial Directions and other tracking parameters

  • +
  • #2818: Vara’s week 0 blog

  • +
  • #2823: submitting clearn PR for 2nd blog

  • +
  • #2822: Pushing 2nd blog,

  • +
  • #2813: First Blog

  • +
  • #2808: [DOC] Fix cross referencing

  • +
  • #2798: Move evac+ to new module nn

  • +
  • #2797: remove Nibabel InTemporaryDirectory

  • +
  • #2706: FYI: Deprecating nisext in nibabel

  • +
  • #2800: Remove the Deprecating nisext

  • +
  • #2689: Installing DIPY fails with current conda version

  • +
  • #2718: StatefulTractogram

  • +
  • #2795: bump dependencies minimal version

  • +
  • #2747: Cannot set dipy as a dependency

  • +
  • #2791: Update Patch2Self CLI

  • +
  • #2792: Add patch_radius parameter to Patch2Self denoise workflow

  • +
  • #2771: BUG: Missing Python 3.11 macOS wheels

  • +
  • #2761: [UPCOMING] Release 1.7.0 - workshop release

  • +
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Computation times#

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02:13.835 total execution time for 90 files from all galleries:

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Example

Time

Mem (MB)

Crossing invariant fiber response function with FORECAST model (examples_revamped\reconstruction\reconst_forecast.py)

01:16.956

0.0

Visualize bundles and metrics on bundles (examples_revamped\visualization\viz_bundles.py)

00:28.440

0.0

Using the free water elimination model to remove DTI free water contamination (examples_revamped\reconstruction\reconst_fwdti.py)

00:16.550

0.0

Diffeomorphic Registration with binary and fuzzy images (examples_revamped\registration\register_binary_fuzzy.py)

00:11.889

0.0

Crossing-preserving contextual enhancement (examples_revamped\contextual_enhancement\contextual_enhancement.py)

00:00.000

0.0

Fiber to bundle coherence measures (examples_revamped\contextual_enhancement\fiber_to_bundle_coherence.py)

00:00.000

0.0

Linear fascicle evaluation (LiFE) (examples_revamped\fiber_tracking\linear_fascicle_evaluation.py)

00:00.000

0.0

Surface seeding for tractography (examples_revamped\fiber_tracking\surface_seed.py)

00:00.000

0.0

Bootstrap and Closest Peak Direction Getters Example (examples_revamped\fiber_tracking\tracking_bootstrap_peaks.py)

00:00.000

0.0

An introduction to the Deterministic Maximum Direction Getter (examples_revamped\fiber_tracking\tracking_deterministic.py)

00:00.000

0.0

Introduction to Basic Tracking (examples_revamped\fiber_tracking\tracking_introduction_eudx_1.py)

00:00.000

0.0

Particle Filtering Tractography (examples_revamped\fiber_tracking\tracking_pft.py)

00:00.000

0.0

An introduction to the Probabilistic Direction Getter (examples_revamped\fiber_tracking\tracking_probabilistic.py)

00:00.000

0.0

Parallel Transport Tractography (examples_revamped\fiber_tracking\tracking_ptt.py)

00:00.000

0.0

Tracking with Robust Unbiased Model-BAsed Spherical Deconvolution (RUMBA-SD) (examples_revamped\fiber_tracking\tracking_rumba.py)

00:00.000

0.0

Tracking with the Sparse Fascicle Model (examples_revamped\fiber_tracking\tracking_sfm.py)

00:00.000

0.0

Using Various Stopping Criterion for Tractography (examples_revamped\fiber_tracking\tracking_stopping_criterion.py)

00:00.000

0.0

Read/Write streamline files (examples_revamped\file_formats\streamline_formats.py)

00:00.000

0.0

Parallel reconstruction using Q-Ball (examples_revamped\multiprocessing\reconst_csa_parallel.py)

00:00.000

0.0

Parallel reconstruction using CSD (examples_revamped\multiprocessing\reconst_csd_parallel.py)

00:00.000

0.0

Brain segmentation with median_otsu (examples_revamped\preprocessing\brain_extraction_dwi.py)

00:00.000

0.0

Denoise images using Adaptive Soft Coefficient Matching (ASCM) (examples_revamped\preprocessing\denoise_ascm.py)

00:00.000

0.0

Suppress Gibbs oscillations (examples_revamped\preprocessing\denoise_gibbs.py)

00:00.000

0.0

Denoise images using Local PCA via empirical thresholds (examples_revamped\preprocessing\denoise_localpca.py)

00:00.000

0.0

Denoise images using the Marcenko-Pastur PCA algorithm (examples_revamped\preprocessing\denoise_mppca.py)

00:00.000

0.0

Denoise images using Non-Local Means (NLMEANS) (examples_revamped\preprocessing\denoise_nlmeans.py)

00:00.000

0.0

Patch2Self: Self-Supervised Denoising via Statistical Independence (examples_revamped\preprocessing\denoise_patch2self.py)

00:00.000

0.0

Gradients and Spheres (examples_revamped\preprocessing\gradients_spheres.py)

00:00.000

0.0

Between-volumes Motion Correction on DWI datasets (examples_revamped\preprocessing\motion_correction.py)

00:00.000

0.0

Noise estimation using PIESNO (examples_revamped\preprocessing\piesno.py)

00:00.000

0.0

Reslice diffusion datasets (examples_revamped\preprocessing\reslice_datasets.py)

00:00.000

0.0

SNR estimation for Diffusion-Weighted Images (examples_revamped\preprocessing\snr_in_cc.py)

00:00.000

0.0

Getting started with DIPY (examples_revamped\quick_start\quick_start.py)

00:00.000

0.0

Introduction to Basic Tracking (examples_revamped\quick_start\tracking_introduction_eudx.py)

00:00.000

0.0

Local reconstruction using the Histological ResDNN (examples_revamped\reconstruction\histology_resdnn.py)

00:00.000

0.0

K-fold cross-validation for model comparison (examples_revamped\reconstruction\kfold_xval.py)

00:00.000

0.0

Reconstruct with Constant Solid Angle (Q-Ball) (examples_revamped\reconstruction\reconst_csa.py)

00:00.000

0.0

Reconstruction with Constrained Spherical Deconvolution (examples_revamped\reconstruction\reconst_csd.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the correlation tensor model (examples_revamped\reconstruction\reconst_cti.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the kurtosis tensor model (examples_revamped\reconstruction\reconst_dki.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the WMTI model (examples_revamped\reconstruction\reconst_dki_micro.py)

00:00.000

0.0

Reconstruct with Diffusion Spectrum Imaging (examples_revamped\reconstruction\reconst_dsi.py)

00:00.000

0.0

Calculate DSI-based scalar maps (examples_revamped\reconstruction\reconst_dsi_metrics.py)

00:00.000

0.0

DSI Deconvolution vs DSI (examples_revamped\reconstruction\reconst_dsid.py)

00:00.000

0.0

Reconstruction of the diffusion signal with the Tensor model (examples_revamped\reconstruction\reconst_dti.py)

00:00.000

0.0

Reconstruct with Generalized Q-Sampling Imaging (examples_revamped\reconstruction\reconst_gqi.py)

00:00.000

0.0

Intravoxel incoherent motion (examples_revamped\reconstruction\reconst_ivim.py)

00:00.000

0.0

Continuous and analytical diffusion signal modelling with MAP-MRI (examples_revamped\reconstruction\reconst_mapmri.py)

00:00.000

0.0

Reconstruction with Multi-Shell Multi-Tissue CSD (examples_revamped\reconstruction\reconst_mcsd.py)

00:00.000

0.0

Mean signal diffusion kurtosis imaging (MSDKI) (examples_revamped\reconstruction\reconst_msdki.py)

00:00.000

0.0

Estimating diffusion time dependent q-space indices using qt-dMRI (examples_revamped\reconstruction\reconst_qtdmri.py)

00:00.000

0.0

Reconstruct with Q-space Trajectory Imaging (QTI) (examples_revamped\reconstruction\reconst_qti.py)

00:00.000

0.0

Applying positivity constraints to Q-space Trajectory Imaging (QTI+) (examples_revamped\reconstruction\reconst_qtiplus.py)

00:00.000

0.0

Reconstruction with Robust and Unbiased Model-BAsed Spherical Deconvolution (examples_revamped\reconstruction\reconst_rumba.py)

00:00.000

0.0

Reconstruction with the Sparse Fascicle Model (examples_revamped\reconstruction\reconst_sfm.py)

00:00.000

0.0

Signal Reconstruction Using Spherical Harmonics (examples_revamped\reconstruction\reconst_sh.py)

00:00.000

0.0

Continuous and analytical diffusion signal modelling with 3D-SHORE (examples_revamped\reconstruction\reconst_shore.py)

00:00.000

0.0

Calculate SHORE scalar maps (examples_revamped\reconstruction\reconst_shore_metrics.py)

00:00.000

0.0

Using the RESTORE algorithm for robust tensor fitting (examples_revamped\reconstruction\restore_dti.py)

00:00.000

0.0

Affine Registration in 3D (examples_revamped\registration\affine_registration_3d.py)

00:00.000

0.0

Affine Registration with Masks (examples_revamped\registration\affine_registration_masks.py)

00:00.000

0.0

Groupwise Bundle Registration (examples_revamped\registration\bundle_group_registration.py)

00:00.000

0.0

Direct Bundle Registration (examples_revamped\registration\bundle_registration.py)

00:00.000

0.0

Nonrigid Bundle Registration with BundleWarp (examples_revamped\registration\bundlewarp_registration.py)

00:00.000

0.0

Applying image-based deformations to streamlines (examples_revamped\registration\streamline_registration.py)

00:00.000

0.0

Symmetric Diffeomorphic Registration in 2D (examples_revamped\registration\syn_registration_2d.py)

00:00.000

0.0

Symmetric Diffeomorphic Registration in 3D (examples_revamped\registration\syn_registration_3d.py)

00:00.000

0.0

Brain segmentation with median_otsu (examples_revamped\segmentation\brain_extraction_dwi_1.py)

00:00.000

0.0

Automatic Fiber Bundle Extraction with RecoBundles (examples_revamped\segmentation\bundle_extraction.py)

00:00.000

0.0

Fast Streamline Search (examples_revamped\segmentation\fast_streamline_search.py)

00:00.000

0.0

Tractography Clustering - Available Features (examples_revamped\segmentation\segment_clustering_features.py)

00:00.000

0.0

Tractography Clustering - Available Metrics (examples_revamped\segmentation\segment_clustering_metrics.py)

00:00.000

0.0

Enhancing QuickBundles with different metrics and features (examples_revamped\segmentation\segment_extending_clustering_framework.py)

00:00.000

0.0

Tractography Clustering with QuickBundles (examples_revamped\segmentation\segment_quickbundles.py)

00:00.000

0.0

Tissue Classification of a T1-weighted Structural Image (examples_revamped\segmentation\tissue_classification.py)

00:00.000

0.0

DSI Deconvolution vs DSI (examples_revamped\simulations\reconst_dsid_1.py)

00:00.000

0.0

DKI MultiTensor Simulation (examples_revamped\simulations\simulate_dki.py)

00:00.000

0.0

MultiTensor Simulation (examples_revamped\simulations\simulate_multi_tensor.py)

00:00.000

0.0

Extracting AFQ tract profiles from segmented bundles (examples_revamped\streamline_analysis\afq_tract_profiles.py)

00:00.000

0.0

BUAN Bundle Assignment Maps Creation (examples_revamped\streamline_analysis\bundle_assignment_maps.py)

00:00.000

0.0

BUAN Bundle Shape Similarity Score (examples_revamped\streamline_analysis\bundle_shape_similarity.py)

00:00.000

0.0

Calculation of Outliers with Cluster Confidence Index (examples_revamped\streamline_analysis\cluster_confidence.py)

00:00.000

0.0

Calculate Path Length Map (examples_revamped\streamline_analysis\path_length_map.py)

00:00.000

0.0

Streamline length and size reduction (examples_revamped\streamline_analysis\streamline_length.py)

00:00.000

0.0

Connectivity Matrices, ROI Intersections and Density Maps (examples_revamped\streamline_analysis\streamline_tools.py)

00:00.000

0.0

Advanced interactive visualization (examples_revamped\visualization\viz_advanced.py)

00:00.000

0.0

Visualization of ROI Surface Rendered with Streamlines (examples_revamped\visualization\viz_roi_contour.py)

00:00.000

0.0

Simple volume slicing (examples_revamped\visualization\viz_slice.py)

00:00.000

0.0

Creating a new combined workflow (examples_revamped\workflows\combined_workflow_creation.py)

00:00.000

0.0

Creating a new workflow. (examples_revamped\workflows\workflow_creation.py)

00:00.000

0.0

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