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NVIDIA OpenCL SDK - Computer Vision

The GPU Computing SDK provides examples with source code, utilities, and white papers to help you get started writing GPU Computing software. The full SDK includes dozens of code samples covering a wide range of applications.

Refer to the following README for related SDK information ( README )

The latest NVIDIA display drivers are required to run code samples. Please obtain the latest display driver here.

The NVIDIA CUDA Toolkit is required to compile code samples. Please obtain the CUDA Toolkit from CUDA Zone.

Select the category to view:

Select a category All Code Samples      Machine Vision      Linear Algebra      Machine vision      Imaging      Parallel Reduction      Infinite Response Filter      OpenCL Advanced Topics      CUDA Advanced Topics      Computer Vision      Data-Parallel Algorithms      Computational Finance      Graphics Interop      Image Processing      Performance Strategies      Image/Video Processing and Data Compression      OpenCL Basic Topics      OpenCL Topics      Physically-Based Simulation

OpenCL Box Filter 8x8  Linear 2-dimensional 8x8 Box Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each.		or later Download - Windows (x86) Download - Windows (x64) Download - Linux/Mac
OpenCL Sobel Filter  2-dimensional 3x3 Sobel Magnitude Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Gradient magnitude for each of the R, G & B channels is computed concurrently and independently, then combined into a single gradient intensity with linear weighting factors.		or later Download - Windows (x86) Download - Windows (x64) Download - Linux/Mac
OpenCL Median Filter  Multi-GPU enabled, 2-dimensional 3x3 Median Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G & B channels are treated independently with results computed concurrently for each.		or later Download - Windows (x86) Download - Windows (x64) Download - Linux/Mac
OpenCL Recursive Gaussian Filter  2-dimensional Gaussian Blur Filter of RGBA image using IRF method. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each.		or later Download - Windows (x86) Download - Windows (x64) Download - Linux/Mac

Last Update: 2/28/2010