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added downsample function into gpu module, refactored it a little bit, added guard for CUDA related include in cascadeclassifier_nvidia_api.cpp

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This commit is contained in:
Alexey Spizhevoy
2011-04-08 08:04:56 +00:00
parent 6cec5ff552
commit 97282d8ff8
8 changed files with 127 additions and 14 deletions
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modules/gpu/src/imgproc_gpu.cpp
+27
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@@ -82,6 +82,7 @@ void cv::gpu::dft(const GpuMat&, GpuMat&, Size, int) { throw_nogpu(); }
void cv::gpu::ConvolveBuf::create(Size, Size) { throw_nogpu(); }
void cv::gpu::convolve(const GpuMat&, const GpuMat&, GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::convolve(const GpuMat&, const GpuMat&, GpuMat&, bool, ConvolveBuf&) { throw_nogpu(); }
void cv::gpu::downsample(const GpuMat&, GpuMat&, int) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
@@ -1355,7 +1356,33 @@ void cv::gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result,
cufftSafeCall(cufftDestroy(planC2R));
}
////////////////////////////////////////////////////////////////////
// downsample
namespace cv { namespace gpu { namespace imgproc
{
template <typename T>
void downsampleCaller(const PtrStep_<T> src, int rows, int cols, int k, PtrStep_<T> dst);
}}}
void cv::gpu::downsample(const GpuMat& src, GpuMat& dst, int k)
{
CV_Assert(src.channels() == 1);
dst.create((src.rows + k - 1) / k, (src.cols + k - 1) / k, src.type());
switch (src.depth())
{
case CV_8U:
imgproc::downsampleCaller((const PtrStep)src, dst.rows, dst.cols, k, (PtrStep)dst);
break;
case CV_32F:
imgproc::downsampleCaller((const PtrStepf)src, dst.rows, dst.cols, k, (PtrStepf)dst);
break;
default:
CV_Error(CV_StsUnsupportedFormat, "bad image depth in downsample function");
}
}
#endif /* !defined (HAVE_CUDA) */