Skip to main content

FSLeyes, the FSL image viewer

Project description

https://git.fmrib.ox.ac.uk/fsl/fsleyes/fsleyes/badges/master/build.svg https://git.fmrib.ox.ac.uk/fsl/fsleyes/fsleyes/badges/master/coverage.svg https://img.shields.io/pypi/v/fsleyes.svg

FSLeyes is the FSL image viewer.

Installation

FSLeyes is a wxPython application. If you are on Linux, you will need to install wxPython first - head to https://extras.wxpython.org/wxPython4/extras/linux/ and find the directory that matches your OS. Then run this command (change the URL accordingly):

pip install --only-binary wxpython -f https://extras.wxpython.org/wxPython4/extras/linux/gtk2/ubuntu-16.04/ wxpython

Once wxPython has been installed, you can install FSLeyes like so:

pip install fsleyes

To install FSLeyes with all of the optional dependencies (for additional functionality):

pip install fsleyes[extras]

Dependencies

All of the core dependencies of FSLeyes are listed in requirements.txt.

Some extra dependencies, which provide additional functionality, are listed in requirements-extras.txt.

Being an OpenGL application, FSLeyes can only be used on computers with graphics hardware (or a software GL renderer) that supports one of the following versions:

  • OpenGL 1.4, with the following extensions:

    • ARB_vertex_program

    • ARB_fragment_program

    • EXT_framebuffer_object

    • GL_ARB_texture_non_power_of_two

  • OpenGL 2.1, with the following extensions:

    • EXT_framebuffer_object

    • ARB_instanced_arrays

    • ARB_draw_instanced

FSLeyes also requires the presence of GLUT, or FreeGLUT.

Documentation

The FSLeyes user and API documentation is written in ReStructuredText, and can be built using sphinx:

python setup.py userdoc
python setup.py apidoc

The documentation will be generated and saved in userdoc/html/ and apidoc/html/.

Credits

Some of the FSLeyes icons are derived from the Freeline icon set, by Enes Dal, available at https://www.iconfinder.com/Enesdal, and released under the Creative Commons (Attribution 3.0 Unported) license.

The volumetric spline interpolation routine uses code from:

Daniel Ruijters and Philippe Thévenaz, GPU Prefilter for Accurate Cubic B-Spline Interpolation, The Computer Journal, vol. 55, no. 1, pp. 15-20, January 2012. http://dannyruijters.nl/docs/cudaPrefilter3.pdf

The GLSL parser is based on code by Nicolas P . Rougier, available at https://github.com/rougier/glsl-parser, and released under the BSD license.

DICOM to NIFTI conversion is performed with Chris Rorden’s dcm2niix (https://github.com/rordenlab/dcm2niix).

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fsleyes-0.24.0-py2.py3-none-any.whl (57.4 MB view details)

Uploaded Python 2Python 3

File details

Details for the file fsleyes-0.24.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for fsleyes-0.24.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 be585ed8dd5da66bba36ef3197f3b7bb1f022899d86ecc0492a1eaabe9e6f81e
MD5 e90d8ab31fbf086ba2e17993fbe391e8
BLAKE2b-256 d2b52b6c243b9fc6c7c0a1516a13ee9ddabab7d3f7ed2bff6a40f86ac81dae39

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page