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VolTK Free For Windows [April-2022]
VolTK stands for Volume Toolkit. It is a C++ Volume Rendering Toolkit that is designed to be an easy-to-use yet powerful framework for volume rendering. VolTK can output to multiple formats including OpenGL, DirectX, Vulkan, Metal, OpenGL ES and Cg. VolTK can be used on desktop, embedded and mobile.
The toolkit is designed to enable you to build quick and flexible volume rendering tools for a wide range of tasks.
The project contains a set of files with source code and scripts for building and deploying the application. Source code is provided for Linux and Windows. The instructions for Windows can be found at
The basic app consists of three parts:
– Designer: allow user to design the volume.
– Renderer: render the volume in one of the supported rendering modes.
– Viewer: interact with the volume.
The app has been tested on Linux and Windows and is known to work.
The app has been developed in C++ with OpenGL and OpenCV.
This code is not included in the project, but if you would like to use it you can get it from the link below.
You can see the logos of the different applications and libraries:
Logo VolTK by Jachym Hura, 2014.
Wenn Jachym Hura logg, möchte er diesen Vorstellungsbeitrag nutzen.Q:
Vertical Drawer in android
How can I set the vertical drawer to the left side in android so that user can view the drawer in the right side of the screen without having to open the application?
I can see that you use the ActionbarSherlock library.
This may not be what you want to do, but you should see the post:
If this is what you are looking for, I would recommend that you use native Android support instead of ActionBarSherlock.
Making dynamic Jquery Mobile (
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We have included a powerful command line tool that allows you to create interactive hypercubes or volumetric grids. This script can be used to create equidistant surfaces or to compute the volumetric distribution of a material property.
If you want to use this feature, you must install the mac-volumetrix binary from
This binary does not come with the package VolTK Serial Key, but can be found here:
VolTK allows for multiple visualization tasks.
The volume rendering toolkit is build around a tri-layer architecture. You can replace the integrated components with your own design.
– Layers: The core of VolTK. The first layer allows you to view a three-dimensional dataset. It comes with the following components:
– Scalar Plot
– Scalar Table
– Interactive Mesh
– Volume Plot
– Volume Grid
– Volume Parameter Table
– Volume Properties
– Volume Rendering View
– Volume Rendering Table
The second layer is responsible for the visual appearance of the visualization. You can use the components provided or you can replace the complete layer with your own design.
The third layer is responsible for interactivity. Here you can access the volume rendering toolkit. The user-interface can be customized by using the components provided. Alternatively, you can use the following components:
– Viewer Window
– Renderer Window
– Volume Rendering Options
– Volume Rendering Parameters
– Volume Rendering Settings
Please note that all the above components are read-only. For example: you cannot modify a Volume Rendering Table, but you can access its data.
The full documentation can be found here:
– Multi-thread support (you can use more than one core of your machine)
– Cuda based implementation
– STL/Geom-IO compliant: VolTK can import and export directly the following file formats:
The sample runs,
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The Tri-Layer Volume Rendering Framework offers the following rendering modes:
– Direct Volume Rendering (also known as “DVR”)
– Volume-To-Cone or Volume-To-Polyhedron (“VTC”)
– Volume-To-Sphere (“VTS”)
– Visualization of one or multiple volumes at multiple levels of detail (“LoD”)
The following figure illustrates how a rendering can be generated with VolTK. For more details, please refer to the « User Guide » of the toolkit:
VolTK implements a robust, feature-packed volume visualization framework with pre-built modes for viewing various types of data sets. It supports a variety of visualization APIs such as OpenGL, DirectX, C++, Python and others.
The toolkit is portable to all Linux distributions and can be easily used in a standalone or embedded application. It is licensed under the open source GNU General Public License and includes non-exlusive source code.
Software authoring tool:
VolTK includes an integrated Visual Studio or Qt based application programming interface (API) called “VExplorer”, a comprehensive volume visualizer that can be used to create or modify volumetric datasets, and to visualize them using VolTK. VExplorer is a tri-layer volume rendering framework that supports the following rendering modes:
– Direct Volume Rendering (DVR)
– Volume-To-Cone (VTC)
– Volume-To-Polyhedron (VTP)
– Volume-To-Sphere (VTS)
– Volume-To-Cone at different levels of details (LoD)
– Volume-To-Polyhedron at different levels of details (LoD)
– Volume-To-Sphere at different levels of details (LoD)
– Volumetric visualization of different data sets at multiple levels of details.
Volume visualization capabilities:
VolTK is a comprehensive, open-source volume rendering framework that supports visualization of a variety of volume types. The toolkit features pre-built volume rendering modes for multiple types of data such as point clouds, meshes, and volumes.
VolTK is a platform-independent framework that supports a variety of APIs such as OpenGL, DirectX, and others. It can be easily used with any existing API.
What’s New in the?
The simulation is the most fundamental operation in a fluid simulation, and is usually where the vast majority of CPU time is spent.
Here is the simulation overview.
It is a fluid simulation in which the particles of fluid are interacting with each other, such as particles of gas.
Volume to image rasterization that returns floating point images for the Radial, Speckle and Projection modes. It also provides some basic control over the viewer.
Volume to Image rasterization: Volume to image rasterization that returns floating point images for the Radial, Speckle and Projection modes. It also provides some basic control over the viewer.Q:
C# Linq query with multiple select
I have the following table:
ID UserID Date
—- —– —–
1 1 01.01.0001
2 1 01.01.0001
3 1 02.01.0001
4 1 02.01.0001
5 1 03.01.0001
6 2 01.01.0001
7 2 02.01.0001
8 2 03.01.0001
And I want to use a LINQ query to get the following result:
ID UserID Date UserID2 Date
—- —– —– —– —–
OS: Windows 7, Windows 8, Windows 8.1, Windows 10
CPU: Intel Core 2 Duo E6750, AMD Phenom II X4 945
RAM: 2 GB
Disk space: 50 MB
GPU: NVIDIA GeForce GTX 460 with 256 MB or ATI Radeon HD 4870