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Opencv

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提交 a9fdc1bd 编写于 作者: V Vladislav Vinogradov
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added buffered version of cornerHarris, cornerMinEigenVal, histEven and histRange

上级 12b7090a
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Showing with 73 addition and 42 deletion
modules/gpu/include/opencv2/gpu/gpu.hpp
浏览文件 @ a9fdc1bd
......@@ -862,9 +862,11 @@ namespace cv
//! computes Harris cornerness criteria at each image pixel
CV_EXPORTS void cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101);
CV_EXPORTS void cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101);
//! computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101);
CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType=BORDER_REFLECT101);
//! performs per-element multiplication of two full (not packed) Fourier spectrums
//! supports 32FC2 matrixes only (interleaved format)
......@@ -1096,22 +1098,26 @@ namespace cv
//! Supports CV_8UC1, CV_16UC1 and CV_16SC1 source types.
//! Output hist will have one row and histSize cols and CV_32SC1 type.
CV_EXPORTS void histEven(const GpuMat& src, GpuMat& hist, int histSize, int lowerLevel, int upperLevel, Stream& stream = Stream::Null());
CV_EXPORTS void histEven(const GpuMat& src, GpuMat& hist, GpuMat& buf, int histSize, int lowerLevel, int upperLevel, Stream& stream = Stream::Null());
//! Calculates histogram with evenly distributed bins for four-channel source.
//! All channels of source are processed separately.
//! Supports CV_8UC4, CV_16UC4 and CV_16SC4 source types.
//! Output hist[i] will have one row and histSize[i] cols and CV_32SC1 type.
CV_EXPORTS void histEven(const GpuMat& src, GpuMat hist[4], int histSize[4], int lowerLevel[4], int upperLevel[4], Stream& stream = Stream::Null());
CV_EXPORTS void histEven(const GpuMat& src, GpuMat hist[4], GpuMat& buf, int histSize[4], int lowerLevel[4], int upperLevel[4], Stream& stream = Stream::Null());
//! Calculates histogram with bins determined by levels array.
//! levels must have one row and CV_32SC1 type if source has integer type or CV_32FC1 otherwise.
//! Supports CV_8UC1, CV_16UC1, CV_16SC1 and CV_32FC1 source types.
//! Output hist will have one row and (levels.cols-1) cols and CV_32SC1 type.
CV_EXPORTS void histRange(const GpuMat& src, GpuMat& hist, const GpuMat& levels, Stream& stream = Stream::Null());
CV_EXPORTS void histRange(const GpuMat& src, GpuMat& hist, const GpuMat& levels, GpuMat& buf, Stream& stream = Stream::Null());
//! Calculates histogram with bins determined by levels array.
//! All levels must have one row and CV_32SC1 type if source has integer type or CV_32FC1 otherwise.
//! All channels of source are processed separately.
//! Supports CV_8UC4, CV_16UC4, CV_16SC4 and CV_32FC4 source types.
//! Output hist[i] will have one row and (levels[i].cols-1) cols and CV_32SC1 type.
CV_EXPORTS void histRange(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], Stream& stream = Stream::Null());
CV_EXPORTS void histRange(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], GpuMat& buf, Stream& stream = Stream::Null());
//! Calculates histogram for 8u one channel image
//! Output hist will have one row, 256 cols and CV32SC1 type.
......
modules/gpu/src/imgproc_gpu.cpp → modules/gpu/src/imgproc.cpp
浏览文件 @ a9fdc1bd
......@@ -68,16 +68,22 @@ void cv::gpu::columnSum(const GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::rectStdDev(const GpuMat&, const GpuMat&, GpuMat&, const Rect&, Stream&) { throw_nogpu(); }
void cv::gpu::evenLevels(GpuMat&, int, int, int) { throw_nogpu(); }
void cv::gpu::histEven(const GpuMat&, GpuMat&, int, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::histEven(const GpuMat&, GpuMat&, GpuMat&, int, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::histEven(const GpuMat&, GpuMat*, int*, int*, int*, Stream&) { throw_nogpu(); }
void cv::gpu::histEven(const GpuMat&, GpuMat*, GpuMat&, int*, int*, int*, Stream&) { throw_nogpu(); }
void cv::gpu::histRange(const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::histRange(const GpuMat&, GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::histRange(const GpuMat&, GpuMat*, const GpuMat*, Stream&) { throw_nogpu(); }
void cv::gpu::histRange(const GpuMat&, GpuMat*, const GpuMat*, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::calcHist(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::calcHist(const GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::equalizeHist(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::equalizeHist(const GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::equalizeHist(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, int, int, double, int) { throw_nogpu(); }
void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, double, int) { throw_nogpu(); }
void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, int, int, int) { throw_nogpu(); }
void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, int) { throw_nogpu(); }
void cv::gpu::mulSpectrums(const GpuMat&, const GpuMat&, GpuMat&, int, bool) { throw_nogpu(); }
void cv::gpu::mulAndScaleSpectrums(const GpuMat&, const GpuMat&, GpuMat&, int, float, bool) { throw_nogpu(); }
void cv::gpu::dft(const GpuMat&, GpuMat&, Size, int) { throw_nogpu(); }
......@@ -127,15 +133,9 @@ void cv::gpu::remap(const GpuMat& src, GpuMat& dst, const GpuMat& xmap, const Gp
CV_Assert((src.type() == CV_8U || src.type() == CV_8UC3) && xmap.type() == CV_32F && ymap.type() == CV_32F);
GpuMat out;
if (dst.data != src.data)
out = dst;
dst.create(xmap.size(), src.type());
out.create(xmap.size(), src.type());
callers[src.channels() - 1](src, xmap, ymap, out);
dst = out;
callers[src.channels() - 1](src, xmap, ymap, dst);
}
////////////////////////////////////////////////////////////////////////
......@@ -199,14 +199,9 @@ namespace
template <typename T>
void drawColorDisp_caller(const GpuMat& src, GpuMat& dst, int ndisp, const cudaStream_t& stream)
{
GpuMat out;
if (dst.data != src.data)
out = dst;
out.create(src.size(), CV_8UC4);
imgproc::drawColorDisp_gpu((DevMem2D_<T>)src, out, ndisp, stream);
dst.create(src.size(), CV_8UC4);
dst = out;
imgproc::drawColorDisp_gpu((DevMem2D_<T>)src, dst, ndisp, stream);
}
typedef void (*drawColorDisp_caller_t)(const GpuMat& src, GpuMat& dst, int ndisp, const cudaStream_t& stream);
......@@ -806,7 +801,7 @@ namespace
{
typedef typename NppHistogramEvenFuncC1<SDEPTH>::src_t src_t;
static void hist(const GpuMat& src, GpuMat& hist, int histSize, int lowerLevel, int upperLevel, cudaStream_t stream)
static void hist(const GpuMat& src, GpuMat& hist, GpuMat& buffer, int histSize, int lowerLevel, int upperLevel, cudaStream_t stream)
{
int levels = histSize + 1;
hist.create(1, histSize, CV_32S);
......@@ -815,11 +810,10 @@ namespace
sz.width = src.cols;
sz.height = src.rows;
GpuMat buffer;
int buf_size;
get_buf_size(sz, levels, &buf_size);
buffer.create(1, buf_size, CV_8U);
ensureSizeIsEnough(1, buf_size, CV_8U, buffer);
NppStreamHandler h(stream);
......@@ -835,7 +829,7 @@ namespace
{
typedef typename NppHistogramEvenFuncC4<SDEPTH>::src_t src_t;
static void hist(const GpuMat& src, GpuMat hist[4], int histSize[4], int lowerLevel[4], int upperLevel[4], cudaStream_t stream)
static void hist(const GpuMat& src, GpuMat hist[4], GpuMat& buffer, int histSize[4], int lowerLevel[4], int upperLevel[4], cudaStream_t stream)
{
int levels[] = {histSize[0] + 1, histSize[1] + 1, histSize[2] + 1, histSize[3] + 1};
hist[0].create(1, histSize[0], CV_32S);
......@@ -849,11 +843,10 @@ namespace
Npp32s* pHist[] = {hist[0].ptr<Npp32s>(), hist[1].ptr<Npp32s>(), hist[2].ptr<Npp32s>(), hist[3].ptr<Npp32s>()};
GpuMat buffer;
int buf_size;
get_buf_size(sz, levels, &buf_size);
buffer.create(1, buf_size, CV_8U);
ensureSizeIsEnough(1, buf_size, CV_8U, buffer);
NppStreamHandler h(stream);
......@@ -908,7 +901,7 @@ namespace
typedef typename NppHistogramRangeFuncC1<SDEPTH>::level_t level_t;
enum {LEVEL_TYPE_CODE=NppHistogramRangeFuncC1<SDEPTH>::LEVEL_TYPE_CODE};
static void hist(const GpuMat& src, GpuMat& hist, const GpuMat& levels, cudaStream_t stream)
static void hist(const GpuMat& src, GpuMat& hist, const GpuMat& levels, GpuMat& buffer, cudaStream_t stream)
{
CV_Assert(levels.type() == LEVEL_TYPE_CODE && levels.rows == 1);
......@@ -918,11 +911,10 @@ namespace
sz.width = src.cols;
sz.height = src.rows;
GpuMat buffer;
int buf_size;
get_buf_size(sz, levels.cols, &buf_size);
buffer.create(1, buf_size, CV_8U);
ensureSizeIsEnough(1, buf_size, CV_8U, buffer);
NppStreamHandler h(stream);
......@@ -939,7 +931,7 @@ namespace
typedef typename NppHistogramRangeFuncC1<SDEPTH>::level_t level_t;
enum {LEVEL_TYPE_CODE=NppHistogramRangeFuncC1<SDEPTH>::LEVEL_TYPE_CODE};
static void hist(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], cudaStream_t stream)
static void hist(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], GpuMat& buffer, cudaStream_t stream)
{
CV_Assert(levels[0].type() == LEVEL_TYPE_CODE && levels[0].rows == 1);
CV_Assert(levels[1].type() == LEVEL_TYPE_CODE && levels[1].rows == 1);
......@@ -959,11 +951,10 @@ namespace
sz.width = src.cols;
sz.height = src.rows;
GpuMat buffer;
int buf_size;
get_buf_size(sz, nLevels, &buf_size);
buffer.create(1, buf_size, CV_8U);
ensureSizeIsEnough(1, buf_size, CV_8U, buffer);
NppStreamHandler h(stream);
......@@ -983,10 +974,16 @@ void cv::gpu::evenLevels(GpuMat& levels, int nLevels, int lowerLevel, int upperL
}
void cv::gpu::histEven(const GpuMat& src, GpuMat& hist, int histSize, int lowerLevel, int upperLevel, Stream& stream)
{
GpuMat buf;
histEven(src, hist, buf, histSize, lowerLevel, upperLevel, stream);
}
void cv::gpu::histEven(const GpuMat& src, GpuMat& hist, GpuMat& buf, int histSize, int lowerLevel, int upperLevel, Stream& stream)
{
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_16UC1 || src.type() == CV_16SC1 );
typedef void (*hist_t)(const GpuMat& src, GpuMat& hist, int levels, int lowerLevel, int upperLevel, cudaStream_t stream);
typedef void (*hist_t)(const GpuMat& src, GpuMat& hist, GpuMat& buf, int levels, int lowerLevel, int upperLevel, cudaStream_t stream);
static const hist_t hist_callers[] =
{
NppHistogramEvenC1<CV_8U , nppiHistogramEven_8u_C1R , nppiHistogramEvenGetBufferSize_8u_C1R >::hist,
......@@ -995,14 +992,20 @@ void cv::gpu::histEven(const GpuMat& src, GpuMat& hist, int histSize, int lowerL
NppHistogramEvenC1<CV_16S, nppiHistogramEven_16s_C1R, nppiHistogramEvenGetBufferSize_16s_C1R>::hist
};
hist_callers[src.depth()](src, hist, histSize, lowerLevel, upperLevel, StreamAccessor::getStream(stream));
hist_callers[src.depth()](src, hist, buf, histSize, lowerLevel, upperLevel, StreamAccessor::getStream(stream));
}
void cv::gpu::histEven(const GpuMat& src, GpuMat hist[4], int histSize[4], int lowerLevel[4], int upperLevel[4], Stream& stream)
{
GpuMat buf;
histEven(src, hist, buf, histSize, lowerLevel, upperLevel, stream);
}
void cv::gpu::histEven(const GpuMat& src, GpuMat hist[4], GpuMat& buf, int histSize[4], int lowerLevel[4], int upperLevel[4], Stream& stream)
{
CV_Assert(src.type() == CV_8UC4 || src.type() == CV_16UC4 || src.type() == CV_16SC4 );
typedef void (*hist_t)(const GpuMat& src, GpuMat hist[4], int levels[4], int lowerLevel[4], int upperLevel[4], cudaStream_t stream);
typedef void (*hist_t)(const GpuMat& src, GpuMat hist[4], GpuMat& buf, int levels[4], int lowerLevel[4], int upperLevel[4], cudaStream_t stream);
static const hist_t hist_callers[] =
{
NppHistogramEvenC4<CV_8U , nppiHistogramEven_8u_C4R , nppiHistogramEvenGetBufferSize_8u_C4R >::hist,
......@@ -1011,14 +1014,21 @@ void cv::gpu::histEven(const GpuMat& src, GpuMat hist[4], int histSize[4], int l
NppHistogramEvenC4<CV_16S, nppiHistogramEven_16s_C4R, nppiHistogramEvenGetBufferSize_16s_C4R>::hist
};
hist_callers[src.depth()](src, hist, histSize, lowerLevel, upperLevel, StreamAccessor::getStream(stream));
hist_callers[src.depth()](src, hist, buf, histSize, lowerLevel, upperLevel, StreamAccessor::getStream(stream));
}
void cv::gpu::histRange(const GpuMat& src, GpuMat& hist, const GpuMat& levels, Stream& stream)
{
GpuMat buf;
histRange(src, hist, levels, buf, stream);
}
void cv::gpu::histRange(const GpuMat& src, GpuMat& hist, const GpuMat& levels, GpuMat& buf, Stream& stream)
{
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_16UC1 || src.type() == CV_16SC1 || src.type() == CV_32FC1);
typedef void (*hist_t)(const GpuMat& src, GpuMat& hist, const GpuMat& levels, cudaStream_t stream);
typedef void (*hist_t)(const GpuMat& src, GpuMat& hist, const GpuMat& levels, GpuMat& buf, cudaStream_t stream);
static const hist_t hist_callers[] =
{
NppHistogramRangeC1<CV_8U , nppiHistogramRange_8u_C1R , nppiHistogramRangeGetBufferSize_8u_C1R >::hist,
......@@ -1029,14 +1039,20 @@ void cv::gpu::histRange(const GpuMat& src, GpuMat& hist, const GpuMat& levels, S
NppHistogramRangeC1<CV_32F, nppiHistogramRange_32f_C1R, nppiHistogramRangeGetBufferSize_32f_C1R>::hist
};
hist_callers[src.depth()](src, hist, levels, StreamAccessor::getStream(stream));
hist_callers[src.depth()](src, hist, levels, buf, StreamAccessor::getStream(stream));
}
void cv::gpu::histRange(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], Stream& stream)
{
GpuMat buf;
histRange(src, hist, levels, buf, stream);
}
void cv::gpu::histRange(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], GpuMat& buf, Stream& stream)
{
CV_Assert(src.type() == CV_8UC4 || src.type() == CV_16UC4 || src.type() == CV_16SC4 || src.type() == CV_32FC4);
typedef void (*hist_t)(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], cudaStream_t stream);
typedef void (*hist_t)(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4], GpuMat& buf, cudaStream_t stream);
static const hist_t hist_callers[] =
{
NppHistogramRangeC4<CV_8U , nppiHistogramRange_8u_C4R , nppiHistogramRangeGetBufferSize_8u_C4R >::hist,
......@@ -1047,7 +1063,7 @@ void cv::gpu::histRange(const GpuMat& src, GpuMat hist[4], const GpuMat levels[4
NppHistogramRangeC4<CV_32F, nppiHistogramRange_32f_C4R, nppiHistogramRangeGetBufferSize_32f_C4R>::hist
};
hist_callers[src.depth()](src, hist, levels, StreamAccessor::getStream(stream));
hist_callers[src.depth()](src, hist, levels, buf, StreamAccessor::getStream(stream));
}
namespace cv { namespace gpu { namespace histograms
......@@ -1151,7 +1167,6 @@ namespace
scale *= 255.;
scale = 1./scale;
GpuMat tmp_buf(src.size(), CV_32F);
Dx.create(src.size(), CV_32F);
Dy.create(src.size(), CV_32F);
......@@ -1209,6 +1224,12 @@ bool cv::gpu::tryConvertToGpuBorderType(int cpuBorderType, int& gpuBorderType)
}
void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType)
{
GpuMat Dx, Dy;
cornerHarris(src, dst, Dx, Dy, blockSize, ksize, k, borderType);
}
void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, double k, int borderType)
{
CV_Assert(borderType == cv::BORDER_REFLECT101 ||
borderType == cv::BORDER_REPLICATE);
......@@ -1216,13 +1237,18 @@ void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ks
int gpuBorderType;
CV_Assert(tryConvertToGpuBorderType(borderType, gpuBorderType));
GpuMat Dx, Dy;
extractCovData(src, Dx, Dy, blockSize, ksize, borderType);
dst.create(src.size(), CV_32F);
imgproc::cornerHarris_caller(blockSize, (float)k, Dx, Dy, dst, gpuBorderType);
}
void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType)
{
GpuMat Dx, Dy;
cornerMinEigenVal(src, dst, Dx, Dy, blockSize, ksize, borderType);
}
void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType)
{
CV_Assert(borderType == cv::BORDER_REFLECT101 ||
borderType == cv::BORDER_REPLICATE);
......@@ -1230,7 +1256,6 @@ void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, i
int gpuBorderType;
CV_Assert(tryConvertToGpuBorderType(borderType, gpuBorderType));
GpuMat Dx, Dy;
extractCovData(src, Dx, Dy, blockSize, ksize, borderType);
dst.create(src.size(), CV_32F);
imgproc::cornerMinEigenVal_caller(blockSize, Dx, Dy, dst, gpuBorderType);
......
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