opencv/modules/gpu/src/blend.cpp

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#include "precomp.hpp"

using namespace std;
using namespace cv;
using namespace cv::gpu;

#if !defined (HAVE_CUDA)

void cv::gpu::blendLinear(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }

#else

namespace cv { namespace gpu { namespace device 
{
    namespace blend
    {
        template <typename T>
        void blendLinearCaller(int rows, int cols, int cn, PtrStep<T> img1, PtrStep<T> img2, PtrStepf weights1, PtrStepf weights2, PtrStep<T> result, cudaStream_t stream);

        void blendLinearCaller8UC4(int rows, int cols, PtrStepb img1, PtrStepb img2, PtrStepf weights1, PtrStepf weights2, PtrStepb result, cudaStream_t stream);
    }
}}}

using namespace ::cv::gpu::device::blend;

void cv::gpu::blendLinear(const GpuMat& img1, const GpuMat& img2, const GpuMat& weights1, const GpuMat& weights2, 
                          GpuMat& result, Stream& stream)
{
    CV_Assert(img1.size() == img2.size());
    CV_Assert(img1.type() == img2.type());
    CV_Assert(weights1.size() == img1.size());
    CV_Assert(weights2.size() == img2.size());
    CV_Assert(weights1.type() == CV_32F);
    CV_Assert(weights2.type() == CV_32F);

    const Size size = img1.size();
    const int depth = img1.depth();
    const int cn = img1.channels();

    result.create(size, CV_MAKE_TYPE(depth, cn));

    switch (depth)
    {
    case CV_8U:
        if (cn != 4)
            blendLinearCaller<uchar>(size.height, size.width, cn, img1, img2, weights1, weights2, result, StreamAccessor::getStream(stream));
        else
            blendLinearCaller8UC4(size.height, size.width, img1, img2, weights1, weights2, result, StreamAccessor::getStream(stream));
        break;
    case CV_32F:
        blendLinearCaller<float>(size.height, size.width, cn, img1, img2, weights1, weights2, result, StreamAccessor::getStream(stream));
        break;
    default:
        CV_Error(CV_StsUnsupportedFormat, "bad image depth in linear blending function");
    }
}

#endif