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Merge pull request #1633 from ilya-lavrenov:ocl_imgproc

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This commit is contained in:
Andrey Pavlenko
2013-10-21 15:58:59 +04:00
committed by OpenCV Buildbot
parent 599d51ec14 4f68f35a78
commit bd1a1cc031
11 changed files with 1486 additions and 2497 deletions
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15
modules/ocl/src/columnsum.cpp
View File

@@ -52,25 +52,24 @@ using namespace cv::ocl;
void cv::ocl::columnSum(const oclMat &src, oclMat &dst)
{
CV_Assert(src.type() == CV_32FC1);
dst.create(src.size(), src.type());
Context *clCxt = src.clCxt;
const std::string kernelName = "columnSum";
int src_step = src.step / src.elemSize(), src_offset = src.offset / src.elemSize();
int dst_step = dst.step / dst.elemSize(), dst_offset = dst.offset / dst.elemSize();
std::vector< pair<size_t, const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.step));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step));
args.push_back( make_pair( sizeof(cl_int), (void *)&src_step));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst_step));
args.push_back( make_pair( sizeof(cl_int), (void *)&src_offset));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst_offset));
size_t globalThreads[3] = {dst.cols, 1, 1};
size_t localThreads[3] = {256, 1, 1};
openCLExecuteKernel(clCxt, &imgproc_columnsum, kernelName, globalThreads, localThreads, args, src.channels(), src.depth());
openCLExecuteKernel(src.clCxt, &imgproc_columnsum, "columnSum", globalThreads, localThreads, args, src.oclchannels(), src.depth());
}

249
modules/ocl/src/imgproc.cpp
View File

@@ -183,111 +183,89 @@ namespace cv
void remap( const oclMat &src, oclMat &dst, oclMat &map1, oclMat &map2, int interpolation, int borderType, const Scalar &borderValue )
{
Context *clCxt = src.clCxt;
bool supportsDouble = clCxt->supportsFeature(FEATURE_CL_DOUBLE);
if (!supportsDouble && src.depth() == CV_64F)
{
CV_Error(CV_OpenCLDoubleNotSupported, "Selected device does not support double");
return;
}
CV_Assert(interpolation == INTER_LINEAR || interpolation == INTER_NEAREST
|| interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4);
CV_Assert((map1.type() == CV_16SC2 && !map2.data) || (map1.type() == CV_32FC2 && !map2.data) || (map1.type() == CV_32FC1 && map2.type() == CV_32FC1));
CV_Assert((map1.type() == CV_16SC2 && !map2.data) || (map1.type() == CV_32FC2 && !map2.data) ||
(map1.type() == CV_32FC1 && map2.type() == CV_32FC1));
CV_Assert(!map2.data || map2.size() == map1.size());
CV_Assert(dst.size() == map1.size());
CV_Assert(borderType == BORDER_CONSTANT || borderType == BORDER_REPLICATE || borderType == BORDER_WRAP
|| borderType == BORDER_REFLECT_101 || borderType == BORDER_REFLECT);
dst.create(map1.size(), src.type());
string kernelName;
const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
const char * const channelMap[] = { "", "", "2", "4", "4" };
const char * const interMap[] = { "INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_LINEAR", "INTER_LANCZOS" };
const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP",
"BORDER_REFLECT_101", "BORDER_TRANSPARENT" };
string kernelName = "remap";
if ( map1.type() == CV_32FC2 && !map2.data )
{
if (interpolation == INTER_LINEAR && borderType == BORDER_CONSTANT)
kernelName = "remapLNFConstant";
else if (interpolation == INTER_NEAREST && borderType == BORDER_CONSTANT)
kernelName = "remapNNFConstant";
}
kernelName += "_32FC2";
else if (map1.type() == CV_16SC2 && !map2.data)
{
if (interpolation == INTER_LINEAR && borderType == BORDER_CONSTANT)
kernelName = "remapLNSConstant";
else if (interpolation == INTER_NEAREST && borderType == BORDER_CONSTANT)
kernelName = "remapNNSConstant";
}
kernelName += "_16SC2";
else if (map1.type() == CV_32FC1 && map2.type() == CV_32FC1)
{
if (interpolation == INTER_LINEAR && borderType == BORDER_CONSTANT)
kernelName = "remapLNF1Constant";
else if (interpolation == INTER_NEAREST && borderType == BORDER_CONSTANT)
kernelName = "remapNNF1Constant";
}
size_t blkSizeX = 16, blkSizeY = 16;
size_t glbSizeX;
int cols = dst.cols;
if (src.type() == CV_8UC1)
{
cols = (dst.cols + dst.offset % 4 + 3) / 4;
glbSizeX = cols % blkSizeX == 0 ? cols : (cols / blkSizeX + 1) * blkSizeX;
}
else if (src.type() == CV_32FC1 && interpolation == INTER_LINEAR)
{
cols = (dst.cols + (dst.offset >> 2) % 4 + 3) / 4;
glbSizeX = cols % blkSizeX == 0 ? cols : (cols / blkSizeX + 1) * blkSizeX;
}
kernelName += "_2_32FC1";
else
glbSizeX = dst.cols % blkSizeX == 0 ? dst.cols : (dst.cols / blkSizeX + 1) * blkSizeX;
CV_Error(CV_StsBadArg, "Unsupported map types");
size_t glbSizeY = dst.rows % blkSizeY == 0 ? dst.rows : (dst.rows / blkSizeY + 1) * blkSizeY;
size_t globalThreads[3] = {glbSizeX, glbSizeY, 1};
size_t localThreads[3] = {blkSizeX, blkSizeY, 1};
int ocn = dst.oclchannels();
size_t localThreads[3] = { 16, 16, 1};
size_t globalThreads[3] = { dst.cols, dst.rows, 1};
Mat scalar(1, 1, CV_MAKE_TYPE(dst.depth(), ocn), borderValue);
std::string buildOptions = format("-D %s -D %s -D T=%s%s", interMap[interpolation],
borderMap[borderType], typeMap[src.depth()], channelMap[ocn]);
if (interpolation != INTER_NEAREST)
{
int wdepth = std::max(CV_32F, dst.depth());
if (!supportsDouble)
wdepth = std::min(CV_32F, wdepth);
buildOptions += format(" -D WT=%s%s -D convertToT=convert_%s%s%s -D convertToWT=convert_%s%s"
" -D convertToWT2=convert_%s2 -D WT2=%s2",
typeMap[wdepth], channelMap[ocn],
typeMap[src.depth()], channelMap[ocn], src.depth() < CV_32F ? "_sat_rte" : "",
typeMap[wdepth], channelMap[ocn],
typeMap[wdepth], typeMap[wdepth]);
}
int src_step = src.step / src.elemSize(), src_offset = src.offset / src.elemSize();
int map1_step = map1.step / map1.elemSize(), map1_offset = map1.offset / map1.elemSize();
int map2_step = map2.step / map2.elemSize(), map2_offset = map2.offset / map2.elemSize();
int dst_step = dst.step / dst.elemSize(), dst_offset = dst.offset / dst.elemSize();
float borderFloat[4] = {(float)borderValue[0], (float)borderValue[1], (float)borderValue[2], (float)borderValue[3]};
vector< pair<size_t, const void *> > args;
if (map1.channels() == 2)
{
args.push_back( make_pair(sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&map1.data));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&cols));
if (src.clCxt->supportsFeature(FEATURE_CL_DOUBLE))
args.push_back( make_pair(sizeof(cl_double4), (void *)&borderValue));
else
args.push_back( make_pair(sizeof(cl_float4), (void *)&borderFloat));
}
if (map1.channels() == 1)
{
args.push_back( make_pair(sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&map1.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&map1.data));
if (!map2.empty())
args.push_back( make_pair(sizeof(cl_mem), (void *)&map2.data));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&cols));
if (src.clCxt->supportsFeature(FEATURE_CL_DOUBLE))
args.push_back( make_pair(sizeof(cl_double4), (void *)&borderValue));
else
args.push_back( make_pair(sizeof(cl_float4), (void *)&borderFloat));
}
openCLExecuteKernel(clCxt, &imgproc_remap, kernelName, globalThreads, localThreads, args, src.oclchannels(), src.depth());
args.push_back( make_pair(sizeof(cl_int), (void *)&src_offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst_offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1_offset));
if (!map2.empty())
args.push_back( make_pair(sizeof(cl_int), (void *)&map2_offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&src_step));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst_step));
args.push_back( make_pair(sizeof(cl_int), (void *)&map1_step));
if (!map2.empty())
args.push_back( make_pair(sizeof(cl_int), (void *)&map2_step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.rows));
args.push_back( make_pair(scalar.elemSize(), (void *)scalar.data));
openCLExecuteKernel(clCxt, &imgproc_remap, kernelName, globalThreads, localThreads, args, -1, -1, buildOptions.c_str());
}
////////////////////////////////////////////////////////////////////////////////////////////
@@ -448,31 +426,47 @@ namespace cv
void copyMakeBorder(const oclMat &src, oclMat &dst, int top, int bottom, int left, int right, int bordertype, const Scalar &scalar)
{
CV_Assert(top >= 0 && bottom >= 0 && left >= 0 && right >= 0);
if ((dst.cols != dst.wholecols) || (dst.rows != dst.wholerows)) //has roi
if (!src.clCxt->supportsFeature(FEATURE_CL_DOUBLE) && src.depth() == CV_64F)
{
if (((bordertype & cv::BORDER_ISOLATED) == 0) &&
(bordertype != cv::BORDER_CONSTANT) &&
(bordertype != cv::BORDER_REPLICATE))
{
CV_Error(CV_StsBadArg, "Unsupported border type");
}
CV_Error(CV_OpenCLDoubleNotSupported, "Selected device does not support double");
return;
}
oclMat _src = src;
CV_Assert(top >= 0 && bottom >= 0 && left >= 0 && right >= 0);
if( _src.offset != 0 && (bordertype & BORDER_ISOLATED) == 0 )
{
Size wholeSize;
Point ofs;
_src.locateROI(wholeSize, ofs);
int dtop = std::min(ofs.y, top);
int dbottom = std::min(wholeSize.height - _src.rows - ofs.y, bottom);
int dleft = std::min(ofs.x, left);
int dright = std::min(wholeSize.width - _src.cols - ofs.x, right);
_src.adjustROI(dtop, dbottom, dleft, dright);
top -= dtop;
left -= dleft;
bottom -= dbottom;
right -= dright;
}
bordertype &= ~cv::BORDER_ISOLATED;
// TODO need to remove this conditions and fix the code
if (bordertype == cv::BORDER_REFLECT || bordertype == cv::BORDER_WRAP)
{
CV_Assert((src.cols >= left) && (src.cols >= right) && (src.rows >= top) && (src.rows >= bottom));
CV_Assert((_src.cols >= left) && (_src.cols >= right) && (_src.rows >= top) && (_src.rows >= bottom));
}
else if (bordertype == cv::BORDER_REFLECT_101)
{
CV_Assert((src.cols > left) && (src.cols > right) && (src.rows > top) && (src.rows > bottom));
CV_Assert((_src.cols > left) && (_src.cols > right) && (_src.rows > top) && (_src.rows > bottom));
}
dst.create(src.rows + top + bottom, src.cols + left + right, src.type());
int srcStep = src.step1() / src.oclchannels(), dstStep = dst.step1() / dst.oclchannels();
int srcOffset = src.offset / src.elemSize(), dstOffset = dst.offset / dst.elemSize();
int depth = src.depth(), ochannels = src.oclchannels();
dst.create(_src.rows + top + bottom, _src.cols + left + right, _src.type());
int srcStep = _src.step1() / _src.oclchannels(), dstStep = dst.step1() / dst.oclchannels();
int srcOffset = _src.offset / _src.elemSize(), dstOffset = dst.offset / dst.elemSize();
int depth = _src.depth(), ochannels = _src.oclchannels();
int __bordertype[] = {cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, BORDER_REFLECT, BORDER_WRAP, BORDER_REFLECT_101};
const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP", "BORDER_REFLECT_101"};
@@ -483,19 +477,19 @@ namespace cv
break;
if (bordertype_index == sizeof(__bordertype) / sizeof(int))
CV_Error(CV_StsBadArg, "unsupported border type");
CV_Error(CV_StsBadArg, "Unsupported border type");
string kernelName = "copymakeborder";
size_t localThreads[3] = {16, 16, 1};
size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
vector< pair<size_t, const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&_src.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&_src.cols));
args.push_back( make_pair( sizeof(cl_int), (void *)&_src.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&srcStep));
args.push_back( make_pair( sizeof(cl_int), (void *)&srcOffset));
args.push_back( make_pair( sizeof(cl_int), (void *)&dstStep));
@@ -1314,6 +1308,8 @@ namespace cv
args.push_back( std::make_pair( sizeof(cl_int), (void *)&tilesX ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&clipLimit ));
args.push_back( std::make_pair( sizeof(cl_float), (void *)&lutScale ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src.offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.offset ));
String kernelName = "calcLut";
size_t localThreads[3] = { 32, 8, 1 };
@@ -1333,7 +1329,7 @@ namespace cv
}
static void transform(const oclMat &src, oclMat &dst, const oclMat &lut,
const int tilesX, const int tilesY, const cv::Size tileSize)
const int tilesX, const int tilesY, const Size & tileSize)
{
cl_int2 tile_size;
tile_size.s[0] = tileSize.width;
@@ -1351,6 +1347,9 @@ namespace cv
args.push_back( std::make_pair( sizeof(cl_int2), (void *)&tile_size ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&tilesX ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&tilesY ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&src.offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&dst.offset ));
args.push_back( std::make_pair( sizeof(cl_int), (void *)&lut.offset ));
size_t localThreads[3] = { 32, 8, 1 };
size_t globalThreads[3] = { src.cols, src.rows, 1 };
@@ -1419,9 +1418,10 @@ namespace cv
}
else
{
cv::ocl::copyMakeBorder(src, srcExt_, 0, tilesY_ - (src.rows % tilesY_), 0, tilesX_ - (src.cols % tilesX_), cv::BORDER_REFLECT_101, cv::Scalar());
ocl::copyMakeBorder(src, srcExt_, 0, tilesY_ - (src.rows % tilesY_), 0,
tilesX_ - (src.cols % tilesX_), BORDER_REFLECT_101, Scalar::all(0));
tileSize = cv::Size(srcExt_.cols / tilesX_, srcExt_.rows / tilesY_);
tileSize = Size(srcExt_.cols / tilesX_, srcExt_.rows / tilesY_);
srcForLut = srcExt_;
}
@@ -1579,30 +1579,31 @@ static void convolve_run(const oclMat &src, const oclMat &temp1, oclMat &dst, st
{
dst.create(src.size(), src.type());
int channels = dst.oclchannels(), depth = dst.depth();
size_t vector_length = 1;
int offset_cols = ((dst.offset % dst.step) / dst.elemSize1()) & (vector_length - 1);
int cols = divUp(dst.cols * channels + offset_cols, vector_length);
int rows = dst.rows;
size_t localThreads[3] = { 16, 16, 1 };
size_t globalThreads[3] = { cols, rows, 1 };
size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
int src_step = src.step / src.elemSize(), src_offset = src.offset / src.elemSize();
int dst_step = dst.step / dst.elemSize(), dst_offset = dst.offset / dst.elemSize();
int temp1_step = temp1.step / temp1.elemSize(), temp1_offset = temp1.offset / temp1.elemSize();
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data ));
args.push_back( make_pair( sizeof(cl_mem), (void *)&temp1.data ));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows ));
args.push_back( make_pair( sizeof(cl_int), (void *)&cols ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&temp1.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src_step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst_step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&temp1_step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&temp1.rows ));
args.push_back( make_pair( sizeof(cl_int), (void *)&temp1.cols ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src_offset ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst_offset ));
args.push_back( make_pair( sizeof(cl_int), (void *)&temp1_offset ));
openCLExecuteKernel(src.clCxt, source, kernelName, globalThreads, localThreads, args, -1, depth);
openCLExecuteKernel(src.clCxt, source, kernelName, globalThreads, localThreads, args, -1, dst.depth());
}
void cv::ocl::convolve(const oclMat &x, const oclMat &t, oclMat &y)
{
CV_Assert(x.depth() == CV_32F && t.depth() == CV_32F);

64
modules/ocl/src/opencl/imgproc_clahe.cl
View File

@@ -53,12 +53,8 @@ int calc_lut(__local int* smem, int val, int tid)
barrier(CLK_LOCAL_MEM_FENCE);
if (tid == 0)
{
for (int i = 1; i < 256; ++i)
{
smem[i] += smem[i - 1];
}
}
barrier(CLK_LOCAL_MEM_FENCE);
return smem[tid];
@@ -71,69 +67,51 @@ void reduce(volatile __local int* smem, int val, int tid)
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 128)
{
smem[tid] = val += smem[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 64)
{
smem[tid] = val += smem[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 32)
{
smem[tid] += smem[tid + 32];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem[tid] += smem[tid + 16];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem[tid] += smem[tid + 8];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem[tid] += smem[tid + 4];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
smem[tid] += smem[tid + 2];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
smem[256] = smem[tid] + smem[tid + 1];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
#else
void reduce(__local volatile int* smem, int val, int tid)
{
smem[tid] = val;
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 128)
{
smem[tid] = val += smem[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 64)
{
smem[tid] = val += smem[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 32)
@@ -141,12 +119,17 @@ void reduce(__local volatile int* smem, int val, int tid)
smem[tid] += smem[tid + 32];
#if WAVE_SIZE < 32
} barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16) {
if (tid < 16)
{
#endif
smem[tid] += smem[tid + 16];
#if WAVE_SIZE < 16
} barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8) {
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
#endif
smem[tid] += smem[tid + 8];
smem[tid] += smem[tid + 4];
@@ -159,7 +142,8 @@ void reduce(__local volatile int* smem, int val, int tid)
__kernel void calcLut(__global __const uchar * src, __global uchar * lut,
const int srcStep, const int dstStep,
const int2 tileSize, const int tilesX,
const int clipLimit, const float lutScale)
const int clipLimit, const float lutScale,
const int src_offset, const int dst_offset)
{
__local int smem[512];
@@ -173,25 +157,21 @@ __kernel void calcLut(__global __const uchar * src, __global uchar * lut,
for (int i = get_local_id(1); i < tileSize.y; i += get_local_size(1))
{
__global const uchar* srcPtr = src + mad24( ty * tileSize.y + i,
srcStep, tx * tileSize.x );
__global const uchar* srcPtr = src + mad24(ty * tileSize.y + i, srcStep, tx * tileSize.x + src_offset);
for (int j = get_local_id(0); j < tileSize.x; j += get_local_size(0))
{
const int data = srcPtr[j];
atomic_inc(&smem[data]);
}
}
barrier(CLK_LOCAL_MEM_FENCE);
int tHistVal = smem[tid];
barrier(CLK_LOCAL_MEM_FENCE);
if (clipLimit > 0)
{
// clip histogram bar
int clipped = 0;
if (tHistVal > clipLimit)
{
@@ -200,7 +180,6 @@ __kernel void calcLut(__global __const uchar * src, __global uchar * lut,
}
// find number of overall clipped samples
reduce(smem, clipped, tid);
barrier(CLK_LOCAL_MEM_FENCE);
#ifdef CPU
@@ -229,7 +208,7 @@ __kernel void calcLut(__global __const uchar * src, __global uchar * lut,
const int lutVal = calc_lut(smem, tHistVal, tid);
uint ires = (uint)convert_int_rte(lutScale * lutVal);
lut[(ty * tilesX + tx) * dstStep + tid] =
lut[(ty * tilesX + tx) * dstStep + tid + dst_offset] =
convert_uchar(clamp(ires, (uint)0, (uint)255));
}
@@ -239,7 +218,8 @@ __kernel void transform(__global __const uchar * src,
const int srcStep, const int dstStep, const int lutStep,
const int cols, const int rows,
const int2 tileSize,
const int tilesX, const int tilesY)
const int tilesX, const int tilesY,
const int src_offset, const int dst_offset, int lut_offset)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
@@ -261,15 +241,15 @@ __kernel void transform(__global __const uchar * src,
tx1 = max(tx1, 0);
tx2 = min(tx2, tilesX - 1);
const int srcVal = src[mad24(y, srcStep, x)];
const int srcVal = src[mad24(y, srcStep, x + src_offset)];
float res = 0;
res += lut[mad24(ty1 * tilesX + tx1, lutStep, srcVal)] * ((1.0f - xa) * (1.0f - ya));
res += lut[mad24(ty1 * tilesX + tx2, lutStep, srcVal)] * ((xa) * (1.0f - ya));
res += lut[mad24(ty2 * tilesX + tx1, lutStep, srcVal)] * ((1.0f - xa) * (ya));
res += lut[mad24(ty2 * tilesX + tx2, lutStep, srcVal)] * ((xa) * (ya));
res += lut[mad24(ty1 * tilesX + tx1, lutStep, srcVal + lut_offset)] * ((1.0f - xa) * (1.0f - ya));
res += lut[mad24(ty1 * tilesX + tx2, lutStep, srcVal + lut_offset)] * ((xa) * (1.0f - ya));
res += lut[mad24(ty2 * tilesX + tx1, lutStep, srcVal + lut_offset)] * ((1.0f - xa) * (ya));
res += lut[mad24(ty2 * tilesX + tx2, lutStep, srcVal + lut_offset)] * ((xa) * (ya));
uint ires = (uint)convert_int_rte(res);
dst[mad24(y, dstStep, x)] = convert_uchar(clamp(ires, (uint)0, (uint)255));
dst[mad24(y, dstStep, x + dst_offset)] = convert_uchar(clamp(ires, (uint)0, (uint)255));
}

28
modules/ocl/src/opencl/imgproc_columnsum.cl
View File

@@ -43,38 +43,28 @@
//
//M*/
#pragma OPENCL EXTENSION cl_amd_printf : enable
#if defined (__ATI__)
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (__NVIDIA__)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
////////////////////////////////////////////////////////////////////
///////////////////////// columnSum ////////////////////////////////
////////////////////////////////////////////////////////////////////
/// CV_32FC1
__kernel void columnSum_C1_D5(__global float* src,__global float* dst,int srcCols,int srcRows,int srcStep,int dstStep)
__kernel void columnSum_C1_D5(__global float * src, __global float * dst,
int cols, int rows, int src_step, int dst_step, int src_offset, int dst_offset)
{
const int x = get_global_id(0);
srcStep >>= 2;
dstStep >>= 2;
if (x < srcCols)
if (x < cols)
{
int srcIdx = x ;
int dstIdx = x ;
int srcIdx = x + src_offset;
int dstIdx = x + dst_offset;
float sum = 0;
for (int y = 0; y < srcRows; ++y)
for (int y = 0; y < rows; ++y)
{
sum += src[srcIdx];
dst[dstIdx] = sum;
srcIdx += srcStep;
dstIdx += dstStep;
srcIdx += src_step;
dstIdx += dst_step;
}
}
}

28
modules/ocl/src/opencl/imgproc_convolve.cl
View File

@@ -48,9 +48,12 @@
#elif defined (__NVIDIA__)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
/************************************** convolve **************************************/
__kernel void convolve_D5 (__global float *src, __global float *temp1, __global float *dst,
int rows, int cols, int src_step, int dst_step,int k_step, int kWidth, int kHeight)
__kernel void convolve_D5(__global float *src, __global float *temp1, __global float *dst,
int rows, int cols, int src_step, int dst_step,int k_step, int kWidth, int kHeight,
int src_offset, int dst_offset, int koffset)
{
__local float smem[16 + 2 * 8][16 + 2 * 8];
@@ -65,7 +68,7 @@ __kernel void convolve_D5 (__global float *src, __global float *temp1, __global
// 0 | 0 0 | 0
// -----------
// 0 | 0 0 | 0
smem[y][x] = src[min(max(gy - 8, 0), rows - 1)*(src_step >> 2) + min(max(gx - 8, 0), cols - 1)];
smem[y][x] = src[min(max(gy - 8, 0), rows - 1) * src_step + min(max(gx - 8, 0), cols - 1) + src_offset];
// 0 | 0 x | x
// -----------
@@ -73,7 +76,7 @@ __kernel void convolve_D5 (__global float *src, __global float *temp1, __global
// 0 | 0 0 | 0
// -----------
// 0 | 0 0 | 0
smem[y][x + 16] = src[min(max(gy - 8, 0), rows - 1)*(src_step >> 2) + min(gx + 8, cols - 1)];
smem[y][x + 16] = src[min(max(gy - 8, 0), rows - 1) * src_step + min(gx + 8, cols - 1) + src_offset];
// 0 | 0 0 | 0
// -----------
@@ -81,7 +84,7 @@ __kernel void convolve_D5 (__global float *src, __global float *temp1, __global
// x | x 0 | 0
// -----------
// x | x 0 | 0
smem[y + 16][x] = src[min(gy + 8, rows - 1)*(src_step >> 2) + min(max(gx - 8, 0), cols - 1)];
smem[y + 16][x] = src[min(gy + 8, rows - 1) * src_step + min(max(gx - 8, 0), cols - 1) + src_offset];
// 0 | 0 0 | 0
// -----------
@@ -89,21 +92,18 @@ __kernel void convolve_D5 (__global float *src, __global float *temp1, __global
// 0 | 0 x | x
// -----------
// 0 | 0 x | x
smem[y + 16][x + 16] = src[min(gy + 8, rows - 1)*(src_step >> 2) + min(gx + 8, cols - 1)];
smem[y + 16][x + 16] = src[min(gy + 8, rows - 1) * src_step + min(gx + 8, cols - 1) + src_offset];
barrier(CLK_LOCAL_MEM_FENCE);
if (gx < cols && gy < rows)
{
float res = 0;
float res = 0;
for (int i = 0; i < kHeight; ++i)
{
for (int j = 0; j < kWidth; ++j)
{
res += smem[y + 8 - kHeight / 2 + i][x + 8 - kWidth / 2 + j] * temp1[i * (k_step>>2) + j];
}
}
dst[gy*(dst_step >> 2)+gx] = res;
}
res += smem[y + 8 - kHeight / 2 + i][x + 8 - kWidth / 2 + j] * temp1[i * k_step + j + koffset];
dst[gy * dst_step + gx + dst_offset] = res;
}
}

7
modules/ocl/src/opencl/imgproc_copymakeboder.cl
View File

@@ -34,6 +34,13 @@
//
//
#if defined (DOUBLE_SUPPORT)
#ifdef cl_khr_fp64
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#elif defined (cl_amd_fp64)
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#endif
#endif
#ifdef BORDER_CONSTANT
//BORDER_CONSTANT: iiiiii|abcdefgh|iiiiiii

1071
modules/ocl/src/opencl/imgproc_remap.cl
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