opencv/doc/tutorials/gpu/table_of_content_gpu.markdown

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