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.

ParaView는 크기가 작은것 부터 매우 큰 것까지 매우 다양한 데이타 세트를 시각 화하도록 설계된 오픈소스, 멀티 플랫폼 어플리케이션입니다. ParaView 프로젝트 의 목적은 다음과 같습니다.

• 오픈소스, 멀티 플랫폼 시각화 어플리케이션 개발.
• 대형 데이타 세트 처리를 위한 분산 계산 모델 지원.
• 개방적이며, 유연하고, 직관적인 사용자 인터페이스 생성
• 오픈 표준을 기반으로 확장가능한 아키텍쳐 개발.

ParaView는 분산 및 공유 메모리의 병렬 및 싱글 프로세스 시스템에서 실행되며, Windows, Mac OS X, Linux 그리고 여러 유닉스 워크스테이션, 클러스터 및 슈퍼 컴퓨터에서 성공적으로 테스트가 완료되었습니다. 내부를 보면, ParaView는 데이 타 프로세싱 및 렌더링 엔진으로 시각화 툴킷을 사용하며, Qt를 사용해서 개발된 사용자 인터페이스를 가지고 있습니다.

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