fixeg gpu::Laplacian

This commit is contained in:
Vladislav Vinogradov 2012-04-02 08:20:23 +00:00
parent b880bbcc18
commit 489a1da0ed
3 changed files with 12 additions and 15 deletions

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@ -395,7 +395,7 @@ CV_EXPORTS void GaussianBlur(const GpuMat& src, GpuMat& dst, Size ksize, GpuMat&
//! applies Laplacian operator to the image //! applies Laplacian operator to the image
//! supports only ksize = 1 and ksize = 3 //! supports only ksize = 1 and ksize = 3
CV_EXPORTS void Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize = 1, double scale = 1, Stream& stream = Stream::Null()); CV_EXPORTS void Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize = 1, double scale = 1, int borderType = BORDER_DEFAULT, Stream& stream = Stream::Null());
////////////////////////////// Arithmetics /////////////////////////////////// ////////////////////////////// Arithmetics ///////////////////////////////////
@ -1094,7 +1094,7 @@ public:
bool use_local_init_data_cost; bool use_local_init_data_cost;
private: private:
GpuMat messages_buffers; GpuMat messages_buffers;
GpuMat temp; GpuMat temp;
GpuMat out; GpuMat out;

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@ -87,7 +87,7 @@ void cv::gpu::Scharr(const GpuMat&, GpuMat&, int, int, int, double, int, int) {
void cv::gpu::Scharr(const GpuMat&, GpuMat&, int, int, int, GpuMat&, double, int, int, Stream&) { throw_nogpu(); } void cv::gpu::Scharr(const GpuMat&, GpuMat&, int, int, int, GpuMat&, double, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, double, double, int, int) { throw_nogpu(); } void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, double, double, int, int) { throw_nogpu(); }
void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, GpuMat&, double, double, int, int, Stream&) { throw_nogpu(); } void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, GpuMat&, double, double, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::Laplacian(const GpuMat&, GpuMat&, int, int, double, Stream&) { throw_nogpu(); } void cv::gpu::Laplacian(const GpuMat&, GpuMat&, int, int, double, int, Stream&) { throw_nogpu(); }
#else #else
@ -1193,7 +1193,7 @@ void cv::gpu::Scharr(const GpuMat& src, GpuMat& dst, int ddepth, int dx, int dy,
sepFilter2D(src, dst, ddepth, kx, ky, buf, Point(-1,-1), rowBorderType, columnBorderType, stream); sepFilter2D(src, dst, ddepth, kx, ky, buf, Point(-1,-1), rowBorderType, columnBorderType, stream);
} }
void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, double scale, Stream& stream) void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, double scale, int borderType, Stream& stream)
{ {
CV_Assert(ksize == 1 || ksize == 3); CV_Assert(ksize == 1 || ksize == 3);
@ -1206,7 +1206,7 @@ void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, d
if (scale != 1) if (scale != 1)
kernel *= scale; kernel *= scale;
filter2D(src, dst, ddepth, kernel, Point(-1,-1), stream); filter2D(src, dst, ddepth, kernel, Point(-1,-1), borderType, stream);
} }
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////

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@ -334,10 +334,7 @@ TEST_P(Laplacian, Accuracy)
cv::Mat dst_gold; cv::Mat dst_gold;
cv::Laplacian(src, dst_gold, -1, ksize.width); cv::Laplacian(src, dst_gold, -1, ksize.width);
if (type == CV_32FC1) EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
else
EXPECT_MAT_NEAR(getInnerROI(dst_gold, cv::Size(3, 3)), getInnerROI(dst, cv::Size(3, 3)), 0.0);
} }
INSTANTIATE_TEST_CASE_P(GPU_Filter, Laplacian, testing::Combine( INSTANTIATE_TEST_CASE_P(GPU_Filter, Laplacian, testing::Combine(