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@@ -13,7 +13,7 @@ PlotOptiX
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**Data visualisation in Python based on NVIDIA OptiX ray tracing framework.**
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**Started pushing transition to OptiX 7. This is quite a breaking change, the low-level code is rewritten completely. Windows and Linux are both working, examples are updated. Just finished multi-GPU code. Please, be patient!**
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**Transition to OptiX 7is almost finished. New release should be ready in a few days, after code cleanup. Please, be patient!**
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3D `ray tracing <https://en.wikipedia.org/wiki/Ray_tracing_(graphics)>`__ package for Python, aimed at easy and aesthetic visualization
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of large datasets (and small as well). Data features can be represented on plots as a position, size/thickness and color of markers
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- `Mono <https://www.mono-project.com/download/stable/#download-lin>`__ Common Language Runtime >= 5.2, recommended: 5.20.1
- for video encoding: `CUDA Toolkit v10.x <https://developer.nvidia.com/cuda-downloads>`__ (tested with v10.0 and v10.1)
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What's Included
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---------------
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PlotOptiX was also successfully tested on the `Google Cloud Platform <https://cloud.google.com/>`__, using Compute Engine instance with 2x V100 GPU's and Ubuntu 18.04 image.
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Here are the `installation steps <https://github.com/rnd-team-dev/plotoptix/blob/master/gcp_install_gpu.txt>`__ so you can save some precious seconds (FFmpeg not included).
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Windows should be ready to go in most cases. You need to do some more typing in Linux. For video encoding you need to install CUDA toolkit in both Linux and Windows.
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Windows should be ready to go in most cases. You need to do some more typing in Linux.
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Windows prerequisites
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