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added connectivityMask calculation function

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marina.kolpakova
2012-08-06 18:10:06 +04:00
parent a9764dd910
commit 0bf10c9a47
4 changed files with 155 additions and 24 deletions
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59
modules/gpu/src/graphcuts.cpp
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@@ -47,7 +47,8 @@
void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::labelComponents(const GpuMat&, GpuMat&, GpuMat&, const cv::Scalar&, const cv::Scalar&, Stream&) { throw_nogpu(); }
void cv::gpu::connectivityMask(const GpuMat&, GpuMat&, const cv::Scalar&, const cv::Scalar&, Stream&) { throw_nogpu(); }
void cv::gpu::labelComponents(const GpuMat& mask, GpuMat& components, Stream& stream) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
@@ -56,29 +57,65 @@ namespace cv { namespace gpu { namespace device
namespace ccl
{
void labelComponents(const DevMem2D& edges, DevMem2Di comps, cudaStream_t stream);
void computeEdges(const DevMem2D& image, DevMem2D edges, const int lo, const int hi, cudaStream_t stream);
template<typename T>
void computeEdges(const DevMem2D& image, DevMem2D edges, const float4& lo, const float4& hi, cudaStream_t stream);
}
}}}
void cv::gpu::labelComponents(const GpuMat& image, GpuMat& mask, GpuMat& components, const cv::Scalar& lo, const cv::Scalar& hi, Stream& s)
float4 scalarToCudaType(const cv::Scalar& in)
{
float4 res;
res.x = in[0]; res.y = in[1]; res.z = in[2]; res.w = in[3];
return res;
}
void cv::gpu::connectivityMask(const GpuMat& image, GpuMat& mask, const cv::Scalar& lo, const cv::Scalar& hi, Stream& s)
{
CV_Assert(!image.empty());
int type = image.type();
CV_Assert(type == CV_8UC1);
int ch = image.channels();
CV_Assert(ch <= 4);
int depth = image.depth();
typedef void (*func_t)(const DevMem2D& image, DevMem2D edges, const float4& lo, const float4& hi, cudaStream_t stream);
static const func_t suppotLookup[8][4] =
{ // 1, 2, 3, 4
{ device::ccl::computeEdges<uchar>, 0, device::ccl::computeEdges<uchar3>, device::ccl::computeEdges<uchar4> },// CV_8U
{ 0, 0, 0, 0 },// CV_16U
{ device::ccl::computeEdges<ushort>, 0, device::ccl::computeEdges<ushort3>, device::ccl::computeEdges<ushort4> },// CV_8S
{ 0, 0, 0, 0 },// CV_16S
{ device::ccl::computeEdges<int>, 0, 0, 0 },// CV_32S
{ device::ccl::computeEdges<float>, 0, 0, 0 },// CV_32F
{ 0, 0, 0, 0 },// CV_64F
{ 0, 0, 0, 0 } // CV_USRTYPE1
};
func_t f = suppotLookup[depth][ch - 1];
CV_Assert(f);
if (image.size() != mask.size() || mask.type() != CV_8UC1)
mask.create(image.size(), CV_8UC1);
if (image.size() != components.size() || components.type() != CV_32SC1)
components.create(image.size(), CV_32SC1);
cudaStream_t stream = StreamAccessor::getStream(s);
device::ccl::computeEdges(image, mask, lo[0], hi[0], stream);
device::ccl::labelComponents(mask, components, stream);
float4 culo = scalarToCudaType(lo), cuhi = scalarToCudaType(hi);
f(image, mask, culo, cuhi, stream);
}
void cv::gpu::labelComponents(const GpuMat& mask, GpuMat& components, Stream& s)
{
CV_Assert(!mask.empty() && mask.type() == CV_8U);
if (mask.size() != components.size() || components.type() != CV_32SC1)
components.create(mask.size(), CV_32SC1);
cudaStream_t stream = StreamAccessor::getStream(s);
device::ccl::labelComponents(mask, components, stream);
}
namespace
{