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@@ -386,4 +386,3 @@ Class that enables getting ``cudaStream_t`` from :ocv:class:`gpu::Stream` and is
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{
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CV_EXPORTS static cudaStream_t getStream(const Stream& stream);
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};
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@@ -60,4 +60,3 @@ With this algorithm, a dual GPU gave a 180
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%
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performance increase comparing to the single Fermi GPU. For a source code example, see
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http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/gpu/.
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@@ -201,5 +201,3 @@ namespace cv { namespace gpu { namespace device
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}}}
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#endif /* __OPENCV_GPU_DEVICE_BLOCK_HPP__ */
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@@ -257,4 +257,3 @@ if __name__ == "__main__":
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outputFile = open(sys.argv[2], 'w')
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outputFile.writelines(lines)
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outputFile.close()
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@@ -25,4 +25,3 @@ if(WIN32)
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set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
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endif()
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endif()
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@@ -291,5 +291,3 @@ void cv::gpu::solvePnPRansac(const Mat& object, const Mat& image, const Mat& cam
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}
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#endif
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@@ -194,5 +194,3 @@ void cv::gpu::FastNonLocalMeansDenoising::labMethod( const GpuMat& src, GpuMat&
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#endif
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@@ -73,4 +73,3 @@ bool cv::gpu::tryConvertToGpuBorderType(int cpuBorderType, int& gpuBorderType)
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}
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/* End of file. */
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@@ -165,4 +165,3 @@ void cv::filterSpeckles( Mat& img, uchar newVal, int maxSpeckleSize, uchar maxDi
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}
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}
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}
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