PAN Blend tomography packages

The UFO data processing framework is a C library suited to build general purpose streams data processing on heterogeneous architectures such as CPUs, GPUs or clusters. It is extensively used at the Karlsruhe Institute of Technology for Ultra-fast X-ray Imaging (radiography, tomography and laminography).

A gobject-instrospection binding is also provided to write scripts or user interfaces.

This package contains binaries to run JSON descriptions of task graphs.

MayaVi2 is a cross-platform tool for 2-D and 3-D scientific data visualization. Its features include:

• Visualization of scalar, vector and tensor data in 2 and 3 dimensions
• Easy scriptability using Python
• Easy extendability via custom sources, modules, and data filters
• Reading several file formats: VTK (legacy and XML), PLOT3D, etc.
• Saving of visualizations
• Saving rendered visualization in a variety of image formats.

MayaVi2 has been designed with scriptability and extensibility in mind. While the mayavi2 application is usable by itself, it may be used as an Envisage plugin which allows it to be embedded in user applications natively. Alternatively, it may be used as a visualization engine for any application.

This package also provides TVTK, which wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module.

ParaView je open source multiplatformná aplikácia na vizualizáciu dát, od malých po veľmi veľké. Medzi ciele projektu ParaView patrí:

• vývoj open source multiplatformnej aplikácie na vizualizáciu dát
• podpora distribuovaných výpočtových modelov na spracovanie veľkých dát
• tvorba otvoreného, flexibilného a intuitívneho používateľského rozhrania
• vývoj rozšíriteľnej architektúry založenej na otvorených štandardoch

ParaView beží na paralelných, distribuovaných systémoch so zdieľanou pamäťou aj na jednoprocesorových systémoch a bol úspešne odskúšaný na Windows, Mac OS X, Linux a rôznych unixových pracovných staniciach, klastroch a superpočítačoch. Pod kapotou ParaView používa Visualization Toolkit na spracovanie dát a vykresľovanie a má používateľské rozhranie napísané v Qt.

scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations.

This package provides the Python 3 module.

The UFO data processing framework is a C library suited to build general purpose streams data processing on heterogeneous architectures such as CPUs, GPUs or clusters. It is extensively used at the Karlsruhe Institute of Technology for Ultra-fast X-ray Imaging (radiography, tomography and laminography).

This package contains average',backproject', bin',blur', buffer',calculate', camera',clip', contrast',crop', denoise',duplicate', fftmult',fft', filter',flatten', flip',forwardproject', gemm',ifft', interpolate',loop', measure',merge', metaballs',monitor', null',opencl', ordfilt',pad', read',reduce', refeed',replicate', rescale',ringwriter', sleep',slice', stack',stdin', stdout',subtract', transpose',write' and `zeropad' plugins

PyHST is a Python program for Tomographic data reconstruction based on direct filtered back-projection algorithm

This is the CUDA version

The PyASTRAToolbox is a Python interface to the ASTRA Toolbox, a tomography toolbox based on high-performance GPU primitives for 2D and 3D tomography.

The Python interface aims to expose all features of the ASTRA toolbox to Python, providing a high-performance tomography toolbox for Python users.

RabbitCT provides an open platform for worldwide performance-comparison of backprojection implementations on different architectures using one specific, clinical, high resolution C-arm CT dataset of a rabbit. This includes a sophisticated benchmark interface, a prototype implementation in C++, and image quality measures.

provided prior to the tomography experiment.

TomoPy is a Python toolbox to perform tomographic data processing and image reconstruction tasks at the Advanced Photon Sourc