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rewrite gpu/device/vec_math.hpp file
old version isn't compiled with CUDA 5.5 new version doesn't depend on functional.hpp
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@ -153,7 +153,7 @@ namespace cv { namespace gpu { namespace device
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template<typename I> __device__ __forceinline__ bool operator() (const I& a, const I& b) const
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{
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I d = a - b;
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I d = saturate_cast<I>(a - b);
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return lo.x <= d.x && d.x <= hi.x &&
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lo.y <= d.y && d.y <= hi.y &&
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lo.z <= d.z && d.z <= hi.z;
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@ -169,7 +169,7 @@ namespace cv { namespace gpu { namespace device
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template<typename I> __device__ __forceinline__ bool operator() (const I& a, const I& b) const
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{
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I d = a - b;
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I d = saturate_cast<I>(a - b);
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return lo.x <= d.x && d.x <= hi.x &&
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lo.y <= d.y && d.y <= hi.y &&
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lo.z <= d.z && d.z <= hi.z &&
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@ -48,6 +48,7 @@
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/emulation.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/functional.hpp"
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#include "opencv2/gpu/device/limits.hpp"
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#include "opencv2/gpu/device/dynamic_smem.hpp"
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@ -811,7 +812,7 @@ namespace cv { namespace gpu { namespace device
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const int ind = ::atomicAdd(r_sizes + n, 1);
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if (ind < maxSize)
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r_table(n, ind) = p - templCenter;
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r_table(n, ind) = saturate_cast<short2>(p - templCenter);
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}
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void buildRTable_gpu(const unsigned int* coordList, const float* thetaList, int pointsCount,
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@ -855,7 +856,7 @@ namespace cv { namespace gpu { namespace device
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for (int j = 0; j < r_row_size; ++j)
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{
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short2 c = p - r_row[j];
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int2 c = p - r_row[j];
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c.x = __float2int_rn(c.x * idp);
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c.y = __float2int_rn(c.y * idp);
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