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GPU-Accelerated Computer Vision (cuda module) {#tutorial_table_of_content_gpu}
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=============================================
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Squeeze out every little computation power from your system by using the power of your video card to
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run the OpenCV algorithms.
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- @subpage tutorial_gpu_basics_similarity
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*Languages:* C++
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*Compatibility:* \> OpenCV 2.0
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*Author:* Bernát Gábor
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This will give a good grasp on how to approach coding on the GPU module, once you already know
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how to handle the other modules. As a test case it will port the similarity methods from the
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tutorial @ref tutorial_video_input_psnr_ssim to the GPU.
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- @subpage tutorial_gpu_thrust_interop
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*Languages:* C++
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*Compatibility:* \>= OpenCV 3.0
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This tutorial will show you how to wrap a GpuMat into a thrust iterator in order to be able to
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use the functions in the thrust library.
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