opencv/modules/gpu/src/cuda/lbp.hpp
Vladislav Vinogradov 3ebec7448d minor refactoring:
moved lbp.hpp to src/cuda folder
added missing cv::gpu::device namespace
deleted whitespaces
2012-10-05 17:43:22 +04:00

112 lines
3.9 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#ifndef __OPENCV_GPU_DEVICE_LBP_HPP_
#define __OPENCV_GPU_DEVICE_LBP_HPP_
#include "internal_shared.hpp"
#include <opencv2/gpu/device/emulation.hpp>
namespace cv { namespace gpu { namespace device {
namespace lbp {
struct Stage
{
int first;
int ntrees;
float threshold;
};
struct ClNode
{
int left;
int right;
int featureIdx;
};
struct InSameComponint
{
public:
__device__ __forceinline__ InSameComponint(float _eps) : eps(_eps) {}
__device__ __forceinline__ InSameComponint(const InSameComponint& other) : eps(other.eps) {}
__device__ __forceinline__ bool operator()(const int4& r1, const int4& r2) const
{
float delta = eps * (min(r1.z, r2.z) + min(r1.w, r2.w)) * 0.5f;
return abs(r1.x - r2.x) <= delta && abs(r1.y - r2.y) <= delta
&& abs(r1.x + r1.z - r2.x - r2.z) <= delta && abs(r1.y + r1.w - r2.y - r2.w) <= delta;
}
float eps;
};
template<typename Pr>
__device__ __forceinline__ void partition(int4* vec, unsigned int n, int* labels, Pr predicate)
{
unsigned tid = threadIdx.x;
labels[tid] = tid;
__syncthreads();
for (unsigned int id = 0; id < n; id++)
{
if (tid != id && predicate(vec[tid], vec[id]))
{
int p = labels[tid];
int q = labels[id];
if (p < q)
{
Emulation::smem::atomicMin(labels + id, p);
}
else if (p > q)
{
Emulation::smem::atomicMin(labels + tid, q);
}
}
}
__syncthreads();
}
} // lbp
} } }// namespaces
#endif