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 the ID Quantique QRng device, you will simply need to modify the _getFloats implementation of the RandomGenerator class, and I can tell you that it's pretty straight forward! You will also need to add set the SOLR_RANDOM_DEVICE_ENABLED cmake option to ON 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, the Blue 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 my Youtube 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 Build
cd Build
cmake .. -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