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smistad

Discovered public repositories for smistad in the GitHub catalog.

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smistad/Detect-Screen-GPU-With-OpenCL

A test script to see if it is possible to detect which GPU is connected to the screen using OpenCL. The purpose of this is to use the GPU connected to screen for visualizations and the others for computation only.

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smistad/VascuSynth

Vascular Tree Synthesis Software. You will need CMake and ITK to run VascuSynth. Read the paper in the Insight Journal for instructions.

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smistad/Tube-Segmentation-Framework

A software for fast segmentation and centerline extraction of tubular structures (e.g. blood vessels and airways) from different modalities and organs using GPUs and OpenCL

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smistad/GTest

Just a simple test of the google C++ unit test framework (GTest)

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smistad/SIPL-Example

This is an example of how to use the Simple Image Processing Library (see www.github.com/smistad/SIPL/).

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smistad/SIPL

The Simple Image Processing Library (SIPL) is a C++ library with the main goal of making it easy to go from an algorithm concept to pictures on the screen.

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smistad/OpenCL-Getting-Started

A small "getting started" tutorial for OpenCL. See http://www.eriksmistad.no/getting-started-with-opencl-and-gpu-computing/ for more info

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smistad/OpenCLUtilities

A small set of function based on the OpenCL C++ bindings to help set up an OpenCL and OpenCL-GL context as well as compiling OpenCL code

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smistad/GPU-Marching-Cubes

A GPU implementation of the Marching Cubes algorithm for extracting surfaces from volumes using OpenCL and OpenGL

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smistad/OpenCL-GVF

An optimized OpenCL implementation of Gradient Vector Flow (GVF) that runs on GPUs and CPUs for both 2D and 3D. For more details about the implementation, see the scientific article Real-time gradient vector flow on GPUs using OpenCL http://www.springerlink.com/content/v0071r27706u5135/

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