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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