Commit 28716d7f authored by Vladislav Vinogradov's avatar Vladislav Vinogradov

Canny

parent e2995956
...@@ -792,31 +792,23 @@ private: ...@@ -792,31 +792,23 @@ private:
GpuMat lab, l, ab; GpuMat lab, l, ab;
}; };
struct CV_EXPORTS CannyBuf;
CV_EXPORTS void Canny(const GpuMat& image, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& image, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false);
struct CV_EXPORTS CannyBuf struct CV_EXPORTS CannyBuf
{ {
CannyBuf() {}
explicit CannyBuf(const Size& image_size, int apperture_size = 3) {create(image_size, apperture_size);}
CannyBuf(const GpuMat& dx_, const GpuMat& dy_);
void create(const Size& image_size, int apperture_size = 3); void create(const Size& image_size, int apperture_size = 3);
void release(); void release();
GpuMat dx, dy; GpuMat dx, dy;
GpuMat dx_buf, dy_buf; GpuMat mag;
GpuMat edgeBuf; GpuMat map;
GpuMat trackBuf1, trackBuf2; GpuMat st1, st2;
Ptr<FilterEngine_GPU> filterDX, filterDY; Ptr<FilterEngine_GPU> filterDX, filterDY;
}; };
CV_EXPORTS void Canny(const GpuMat& image, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& image, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false);
CV_EXPORTS void Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false);
class CV_EXPORTS ImagePyramid class CV_EXPORTS ImagePyramid
{ {
public: public:
......
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...@@ -91,7 +91,6 @@ void cv::gpu::Canny(const GpuMat&, GpuMat&, double, double, int, bool) { throw_n ...@@ -91,7 +91,6 @@ void cv::gpu::Canny(const GpuMat&, GpuMat&, double, double, int, bool) { throw_n
void cv::gpu::Canny(const GpuMat&, CannyBuf&, GpuMat&, double, double, int, bool) { throw_nogpu(); } void cv::gpu::Canny(const GpuMat&, CannyBuf&, GpuMat&, double, double, int, bool) { throw_nogpu(); }
void cv::gpu::Canny(const GpuMat&, const GpuMat&, GpuMat&, double, double, bool) { throw_nogpu(); } void cv::gpu::Canny(const GpuMat&, const GpuMat&, GpuMat&, double, double, bool) { throw_nogpu(); }
void cv::gpu::Canny(const GpuMat&, const GpuMat&, CannyBuf&, GpuMat&, double, double, bool) { throw_nogpu(); } void cv::gpu::Canny(const GpuMat&, const GpuMat&, CannyBuf&, GpuMat&, double, double, bool) { throw_nogpu(); }
cv::gpu::CannyBuf::CannyBuf(const GpuMat&, const GpuMat&) { throw_nogpu(); }
void cv::gpu::CannyBuf::create(const Size&, int) { throw_nogpu(); } void cv::gpu::CannyBuf::create(const Size&, int) { throw_nogpu(); }
void cv::gpu::CannyBuf::release() { throw_nogpu(); } void cv::gpu::CannyBuf::release() { throw_nogpu(); }
...@@ -1466,92 +1465,76 @@ void cv::gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result, ...@@ -1466,92 +1465,76 @@ void cv::gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result,
////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////
// Canny // Canny
cv::gpu::CannyBuf::CannyBuf(const GpuMat& dx_, const GpuMat& dy_) : dx(dx_), dy(dy_)
{
CV_Assert(dx_.type() == CV_32SC1 && dy_.type() == CV_32SC1 && dx_.size() == dy_.size());
create(dx_.size(), -1);
}
void cv::gpu::CannyBuf::create(const Size& image_size, int apperture_size) void cv::gpu::CannyBuf::create(const Size& image_size, int apperture_size)
{ {
if (apperture_size > 0)
{
ensureSizeIsEnough(image_size, CV_32SC1, dx); ensureSizeIsEnough(image_size, CV_32SC1, dx);
ensureSizeIsEnough(image_size, CV_32SC1, dy); ensureSizeIsEnough(image_size, CV_32SC1, dy);
if (apperture_size == 3) if (apperture_size != 3)
{
ensureSizeIsEnough(image_size, CV_32SC1, dx_buf);
ensureSizeIsEnough(image_size, CV_32SC1, dy_buf);
}
else if(apperture_size > 0)
{ {
if (!filterDX)
filterDX = createDerivFilter_GPU(CV_8UC1, CV_32S, 1, 0, apperture_size, BORDER_REPLICATE); filterDX = createDerivFilter_GPU(CV_8UC1, CV_32S, 1, 0, apperture_size, BORDER_REPLICATE);
if (!filterDY)
filterDY = createDerivFilter_GPU(CV_8UC1, CV_32S, 0, 1, apperture_size, BORDER_REPLICATE); filterDY = createDerivFilter_GPU(CV_8UC1, CV_32S, 0, 1, apperture_size, BORDER_REPLICATE);
} }
}
ensureSizeIsEnough(image_size.height + 2, image_size.width + 2, CV_32FC1, edgeBuf); ensureSizeIsEnough(image_size, CV_32FC1, mag);
ensureSizeIsEnough(image_size, CV_32SC1, map);
ensureSizeIsEnough(1, image_size.width * image_size.height, CV_16UC2, trackBuf1); ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st1);
ensureSizeIsEnough(1, image_size.width * image_size.height, CV_16UC2, trackBuf2); ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st2);
} }
void cv::gpu::CannyBuf::release() void cv::gpu::CannyBuf::release()
{ {
dx.release(); dx.release();
dy.release(); dy.release();
dx_buf.release(); mag.release();
dy_buf.release(); map.release();
edgeBuf.release(); st1.release();
trackBuf1.release(); st2.release();
trackBuf2.release();
} }
namespace cv { namespace gpu { namespace device namespace canny
{ {
namespace canny void calcMagnitude(PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad);
{ void calcMagnitude(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad);
void calcSobelRowPass_gpu(PtrStepb src, PtrStepi dx_buf, PtrStepi dy_buf, int rows, int cols);
void calcMagnitude_gpu(PtrStepi dx_buf, PtrStepi dy_buf, PtrStepi dx, PtrStepi dy, PtrStepf mag, int rows, int cols, bool L2Grad);
void calcMagnitude_gpu(PtrStepi dx, PtrStepi dy, PtrStepf mag, int rows, int cols, bool L2Grad);
void calcMap_gpu(PtrStepi dx, PtrStepi dy, PtrStepf mag, PtrStepi map, int rows, int cols, float low_thresh, float high_thresh); void calcMap(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, PtrStepSzi map, float low_thresh, float high_thresh);
void edgesHysteresisLocal_gpu(PtrStepi map, ushort2* st1, int rows, int cols); void edgesHysteresisLocal(PtrStepSzi map, ushort2* st1);
void edgesHysteresisGlobal_gpu(PtrStepi map, ushort2* st1, ushort2* st2, int rows, int cols); void edgesHysteresisGlobal(PtrStepSzi map, ushort2* st1, ushort2* st2);
void getEdges_gpu(PtrStepi map, PtrStepb dst, int rows, int cols); void getEdges(PtrStepSzi map, PtrStepSzb dst);
} }
}}}
namespace namespace
{ {
void CannyCaller(CannyBuf& buf, GpuMat& dst, float low_thresh, float high_thresh) void CannyCaller(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, float low_thresh, float high_thresh)
{ {
using namespace ::cv::gpu::device::canny; using namespace canny;
calcMap_gpu(buf.dx, buf.dy, buf.edgeBuf, buf.edgeBuf, dst.rows, dst.cols, low_thresh, high_thresh); calcMap(dx, dy, buf.mag, buf.map, low_thresh, high_thresh);
edgesHysteresisLocal_gpu(buf.edgeBuf, buf.trackBuf1.ptr<ushort2>(), dst.rows, dst.cols); edgesHysteresisLocal(buf.map, buf.st1.ptr<ushort2>());
edgesHysteresisGlobal_gpu(buf.edgeBuf, buf.trackBuf1.ptr<ushort2>(), buf.trackBuf2.ptr<ushort2>(), dst.rows, dst.cols); edgesHysteresisGlobal(buf.map, buf.st1.ptr<ushort2>(), buf.st2.ptr<ushort2>());
getEdges_gpu(buf.edgeBuf, dst, dst.rows, dst.cols); getEdges(buf.map, dst);
} }
} }
void cv::gpu::Canny(const GpuMat& src, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient) void cv::gpu::Canny(const GpuMat& src, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient)
{ {
CannyBuf buf(src.size(), apperture_size); CannyBuf buf;
Canny(src, buf, dst, low_thresh, high_thresh, apperture_size, L2gradient); Canny(src, buf, dst, low_thresh, high_thresh, apperture_size, L2gradient);
} }
void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient) void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient)
{ {
using namespace ::cv::gpu::device::canny; using namespace canny;
CV_Assert(src.type() == CV_8UC1); CV_Assert(src.type() == CV_8UC1);
...@@ -1562,37 +1545,37 @@ void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_th ...@@ -1562,37 +1545,37 @@ void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_th
std::swap( low_thresh, high_thresh); std::swap( low_thresh, high_thresh);
dst.create(src.size(), CV_8U); dst.create(src.size(), CV_8U);
dst.setTo(Scalar::all(0));
buf.create(src.size(), apperture_size); buf.create(src.size(), apperture_size);
buf.edgeBuf.setTo(Scalar::all(0));
if (apperture_size == 3) if (apperture_size == 3)
{ {
calcSobelRowPass_gpu(src, buf.dx_buf, buf.dy_buf, src.rows, src.cols); Size wholeSize;
Point ofs;
src.locateROI(wholeSize, ofs);
GpuMat srcWhole(wholeSize, src.type(), src.datastart, src.step);
calcMagnitude_gpu(buf.dx_buf, buf.dy_buf, buf.dx, buf.dy, buf.edgeBuf, src.rows, src.cols, L2gradient); calcMagnitude(srcWhole, ofs.x, ofs.y, buf.dx, buf.dy, buf.mag, L2gradient);
} }
else else
{ {
buf.filterDX->apply(src, buf.dx, Rect(0, 0, src.cols, src.rows)); buf.filterDX->apply(src, buf.dx, Rect(0, 0, src.cols, src.rows));
buf.filterDY->apply(src, buf.dy, Rect(0, 0, src.cols, src.rows)); buf.filterDY->apply(src, buf.dy, Rect(0, 0, src.cols, src.rows));
calcMagnitude_gpu(buf.dx, buf.dy, buf.edgeBuf, src.rows, src.cols, L2gradient); calcMagnitude(buf.dx, buf.dy, buf.mag, L2gradient);
} }
CannyCaller(buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh)); CannyCaller(buf.dx, buf.dy, buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
} }
void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient) void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient)
{ {
CannyBuf buf(dx, dy); CannyBuf buf;
Canny(dx, dy, buf, dst, low_thresh, high_thresh, L2gradient); Canny(dx, dy, buf, dst, low_thresh, high_thresh, L2gradient);
} }
void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient) void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient)
{ {
using namespace ::cv::gpu::device::canny; using namespace canny;
CV_Assert(TargetArchs::builtWith(SHARED_ATOMICS) && DeviceInfo().supports(SHARED_ATOMICS)); CV_Assert(TargetArchs::builtWith(SHARED_ATOMICS) && DeviceInfo().supports(SHARED_ATOMICS));
CV_Assert(dx.type() == CV_32SC1 && dy.type() == CV_32SC1 && dx.size() == dy.size()); CV_Assert(dx.type() == CV_32SC1 && dy.type() == CV_32SC1 && dx.size() == dy.size());
...@@ -1601,17 +1584,11 @@ void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& d ...@@ -1601,17 +1584,11 @@ void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& d
std::swap( low_thresh, high_thresh); std::swap( low_thresh, high_thresh);
dst.create(dx.size(), CV_8U); dst.create(dx.size(), CV_8U);
dst.setTo(Scalar::all(0));
buf.dx = dx; buf.dy = dy;
buf.create(dx.size(), -1); buf.create(dx.size(), -1);
buf.edgeBuf.setTo(Scalar::all(0));
calcMagnitude_gpu(dx, dy, buf.edgeBuf, dx.rows, dx.cols, L2gradient); calcMagnitude(dx, dy, buf.mag, L2gradient);
CannyCaller(buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh)); CannyCaller(dx, dy, buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
} }
#endif /* !defined (HAVE_CUDA) */ #endif /* !defined (HAVE_CUDA) */
...@@ -313,7 +313,7 @@ TEST_P(Canny, Accuracy) ...@@ -313,7 +313,7 @@ TEST_P(Canny, Accuracy)
cv::Mat edges_gold; cv::Mat edges_gold;
cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient); cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient);
EXPECT_MAT_SIMILAR(edges_gold, edges, 1e-2); EXPECT_MAT_SIMILAR(edges_gold, edges, 2e-2);
} }
} }
......
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