CarnaPy 0.0.17

General-purpose real-time 3D visualization

CarnaPy

The aim of this package is to provide general-purpose real-time 3D visualization for specifically, but not limited to, biomedical data, using Python. The library is based on Carna.

See examples/kalinin2018.ipynb for an example.

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Contents

• Limitations
• Dependencies
• Build instructions

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1. Limitations

• Only 12bit volume data is supported at the moment. Extension to 16bit or beyond should be straight-forward.
• DRR renderings are not exposed to Python yet.
• Build process is currently limited to Linux-based systems.

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2. Dependencies

Using the library requires the following dependencies:

• Carna
• numpy
• OpenGL 3.3
• Python ≥ 3.7

The following dependencies must be satisfied for the build process:

• Eigen ≥ 3.0.5
• libboost-iostreams
• pybind11
• OpenGL 3.3
• GLEW ≥ 1.7
• EGL

In addition, the following dependencies are required to run the test suite:

• matplotlib
• scipy

The build process has been tested with following tools and versions:

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3. Build instructions

Assuming you are using a recent version of Ubuntu:

sudo apt-get -qq install libglew-dev libegl1-mesa-dev libboost-iostreams-dev

Create and activate a Conda environment to work in, then:

conda install -c conda-forge pybind11

Grab a recent version of Eigen, unpack it, and tell CMake where it is located:

wget https://gitlab.com/libeigen/eigen/-/archive/3.2.10/eigen-3.2.10.tar.gz
tar -vzxf eigen-3.2.10.tar.gz -C /tmp/
export CMAKE_PREFIX_PATH="/tmp/eigen-3.2.10:$CMAKE_PREFIX_PATH"

If you have not already, download, build, and install Carna:

git clone [e-mail]:RWTHmediTEC/Carna.git build_carna
cd build_carna
sh linux_build.sh

Now it is time to build, package, and install CarnaPy:

cd ..
python setup.py build
python setup.py install