Google Summer of Code 2020
FURY is a free and open source software library for scientific visualization and 3D animations. FURY contains many tools for visualizing a series of scientific data including graph and imaging data. FURY is participating in GSoC this year for the first time under the umbrella of the Python Software Foundation (PSF).
GSoC is a program the allows students to learn by contributing to an open-source project while receiving a fellowship from Google, and mentorship from open-source software developers. For details about this year's GSoC, please refer to this page.
Before considering becoming part of the FURY GSoC, please read about our expectations.
All participants should have basic knowledge of computer graphics, scientific computing, and development in Python. For a comprehensive introduction to these topics, please refer to these 2 books:
- Interactive Computer Graphics - 6th / 7th Edition by Edward Angel and Dave Shreiner
- Effective Computation in Physics by Katy Huff and Anthony Scopatz.
However, you should be already familiar with data analysis using Python and Numpy before applying.
Be happy to ask questions directly by subscribing to our mailing list and sending a message to [email protected] or by creating an issue and Select GSOC Request
Potential candidates should take a look at the guidelines on how to contribute to FURY. Making a small enhancement/bugfix/documentation fix/etc to FURY already before applying for the GSoC is a requirement from the PSF; it can help you get some idea how things would work during the GSoC. The fix does not need to be related to your proposal. We have and will continue adding some beginner friendly issues in github. You can see some of them here
We currently have 5 project ideas:
- Project 1: Create new user interface widget. (Difficulty: intermediate). More information here
- Project 2: Improve our animation framework via glsl (Difficulty: Advanced). More information here
- Project 3: Create the Fury showcase (Difficulty: easy). More information here
- Project 4: Make FURY available in Jupyter (Difficulty: Intermediate). More information here
- Project 5: Bring a Physics Engine to FURY (Difficulty: Advanced) More information here
- Project 6: Bring your own idea! (Difficulty: Easy/Intermediate/Advanced) If you've got a brilliant idea you'd like to propose, please make a new issue and select GSOC request to discuss it!
Notice: We want to provide the best mentoring to our students, only 2 or 3 of these projects will be selected. Not more!
Description: In this project you will build scifi-like 3D and 2D user interfaces inspired from Guardians of the Galaxy video. FURY provides many visualization capabilities. However we were not happy with interactive capabilities found in existing GUIs. For this reason we built our own UI engine. No Qt! Everything is integrated in the VTK scene. This is an example of an orbital orbital menu.
In this project you will extend this work and add more futuristic widgets. The motto of this project is make everything interactive without performance issues. Here are the different steps to achieve:
- Step 1: Get familiar with the library by fixing some issues like #75 #76 #108.
- Step 2: Create ComboBox UI and improve FileDialog capabilities.
- Step 3: Select, Explore and develop one of this 3 subjects: Tree UI, Tab UI, Layout management.
Difficulty: intermediate
Skills required: Python, OpenGL and VTK
Mentors: Serge Koudoro and David Reagan
Description: Our new visualization engine supports GLSL shading language. Join our effort to built stunning animations of scientific datasets. You will have to program vertex and fragment shaders to generate different effects on FURY primitives.
Here are the different steps to achieve:
- Step 1: Understand and Extend our current animation framework by fixing issues and adding new animation effects.
- Step 2: Extend the framework to make it easy to combine animations.
- Step 3: Create Demo of complex animation and generate videos.
Difficulty: high
Skills required: GLSL, Python, OpenGL and VTK
Mentors: Javier Guaje, Serge Koudoro
Description: Fury can be used with multiple different scientific data. As you can see at our gallery, our current showcases are primarily focusing on medical applications. We want to extend this gallery for different scientific fields so this will be your mission!
Here are the different steps to achieve:
- Step 1: Build an application for visualizing warping fields.
- Step 2: Build an application for molecular visualization.
- Step 3: Build a GIS application.
- Step 4: Build your own proposed application.
Difficulty: Intermediate
Skills required: Python, VTK, curiosity, creativity
Mentors: David Reagan, Javier Guaje,
Description: We would like to make FURY run in Jupyter notebook. Join our effort to built stunning extensions that convert our current python interactor to a vtk.js module. Therefore you will have to improve some of our scripts which are showing our community contribution on our website. If you feel talented, you could also improve the design too.
Here are the different steps to achieve:
- Step 1: Convert our scenes to vtkjs
- Step 2: Improve interactivity in javascript and think of a holistic design across python and javascript
- Step 3: Check that shaders are imported properly
Difficulty: Intermediate
Skills required: Python, Sphinx, Html, css, javascript
Mentors: Serge Koudoro
Description: We would like to add an optional physics engine to FURY. The student will need to understand PyBullet and build a realistic simulation that uses the engine to simulate physics (e.g. collisions) but use FURY to do the visualization.
Here are the different steps to achieve:
- Step 1: Understand how PyBullet and FURY work
- Step 2: Build minimalistic examples that integrate both engines
- Step 3: Build a larger animation that showcases physics simulations
Difficulty: Advanced
Skills required: Python, PyBullet, FURY
Mentors: Serge Koudoro