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Sol-R becomes Quantum of Sol-R, thanks to the use of a Quantum Physics based random generation device. Unfortunately, the API to access the random number generator is not open-source but if you buy theID Quantique QRng device, you will simply need to modify the_getFloats implementation of theRandomGenerator class, and I can tell you that it's pretty straight forward! You will also need to add set theSOLR_RANDOM_DEVICE_ENABLED cmake option toON before configuring the project.

If you like Sol-R, but you think it's now getting a bit old, you will love my new open-source, theBlue Brain BioExplorer. Check-it out and star the GitHub Repository to support the project.

Sol-R is a CUDA/OpenCL-based realtime ray-tracer compatible with Oculus Rift DK1, Kinect, Razor Hydra and Leap Motion devices.Sol-R was used by the Interactive Molecular Visualizer project (http://www.molecular-visualization.com)

A number of videos can be found on myYoutube channel.

Sol-R was written as a hobby project in order to understand and learn more about CUDA and OpenCL. Most of the code was written at night and during week-ends, meaning that it's probably not the best quality ever ;-)

The idea was to produce a Ray-Tracer that has its own "personality". Most of the code does not rely on any literature about ray-tracing, but more on a naive approach of what rays could be used for. A simple engine that could produce cool images interactively.

Take it for what it is! Sol-R is a lot of fun to play with if you like coding computer generated images.

May the fun continue with your contributions! :)

usage: solrViewer

• CMake 3.5
• Glew 2.x
• Glut 3.7
• Cuda 8.0 or OpenCL 1.2

• Kinect SDK 1.8
• Oculus Rift DK1 SDK 0.2.5
• Sixense SDK
• Leap SDK 3.2.0

mkdir Buildcd Buildcmake .. -DCMAKE_PREFIX_PATH=<installation-folder>make install

Note that the installation process with deploy extra files that are needed by the Sol-R viewer. Typically, textures, environment maps and OpenCL kernels. Therefore, it is required to run the solrViewer application from the installation folder.

<installation-folder>/bin/solrViewer

By default, the OpenCL engine is selected but this can be changed by modifying the SOLR_ENGINE option, using either ccmake or the following cmake option:

cmake .. -DSOLR_ENGINE:STRING=CUDA

Optional dependencies can be activated using the following cmake options:

cmake .. -DSOLR_KINECT_ENABLED=ON -DSOLR_OCULUS_ENABLED=ON -DSOLR_SIXENSE_ENABLED -DSOLR_LEAPMOTION_ENABLED=ON

Sol-R has currently been tested on:

• Windows 7 with Visual Studio 2015 Community edition
• Mac OS X Sierra 10.12.15
• Ubuntu 20.04