GpuCV: GPU-accelerated Computer Vision

GPUCV提供的GPU加速替代例程,是與OpenCV兼容的。圖像處理應用程序員無需關心圖形上下文或硬件,而且範例應用由程序提供。程序員可以通過能夠自動管理着色、紋理和先進的OpenGL延伸。其框架透明化管理着硬件功能,數據同步,低層次GLSL的和CUDA方案,快速的動態測試以及到最有效實現的切換,最終提供一套GPUCV加速器上的圖像處理操作。另外,GPUCV還提供一些高級操作,如形態學和邊緣檢測、矩陣乘法、離散傅里葉變換等等。

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GpuCV: GPU-accelerated Computer Vision

NEW New release of GpuCV is v1.0.0 rev 600 (Oct. 6th, 2010).

Presentation

GpuCV is an open-source GPU-accelerated image processing and Computer Vision library. It offers an Intel's OpenCV-like programming interface for easily porting existing OpenCV applications, while taking advantage of the high level of parallelism and computing power available from recent graphics processing units (GPUs). It is distributed as free software under the CeCILL-B license.

Longer descriptions are available as:

Features

GpuCV offers GPU-accelerated replacement routines that are fully compatible with their OpenCV counterpart.

Image processing applications programmers do not have to care for graphics context nor hardware. Examples applications are provided.

Operator developers may access graphics functionalities through the GpuCV framework that automatically manages shader programs, textures and advanced OpenGL extensions.

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