generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Merge pull request #338 from taka-no-me:ocl_warnings_master

Browse Source
This commit is contained in:
Andrey Kamaev 2013-01-25 19:08:53 +04:00 committed by OpenCV Buildbot
commit 9de36c5592
1 changed files with 40 additions and 52 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

92
modules/ocl/src/hough.cpp
View File

@ -46,7 +46,7 @@ using namespace std;
using namespace cv;
using namespace cv::ocl;
#if !defined (HAVE_OPENCL)
#if !defined (HAVE_OPENCL)
void cv::ocl::HoughCircles(const oclMat&, oclMat&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
void cv::ocl::HoughCircles(const oclMat&, oclMat&, HoughCirclesBuf&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
@ -59,18 +59,6 @@ void cv::ocl::HoughCirclesDownload(const oclMat&, OutputArray) { throw_nogpu();
namespace cv { namespace ocl {
///////////////////////////OpenCL kernel strings///////////////////////////
extern const char *imgproc_hough;
namespace hough
{
int buildPointList_gpu(const oclMat& src, oclMat& list);
void circlesAccumCenters_gpu(const unsigned int* list, int count, const oclMat& dx, const oclMat& dy, oclMat& accum, int minRadius, int maxRadius, float idp);
int buildCentersList_gpu(const oclMat& accum, oclMat& centers, int threshold);
int circlesAccumRadius_gpu(const oclMat& centers, int centersCount,
const oclMat& list, int count,
oclMat& circles, int maxCircles,
float dp, int minRadius, int maxRadius, int threshold);
}
}}
@ -78,7 +66,7 @@ namespace cv { namespace ocl {
//////////////////////////////////////////////////////////
// common functions
namespace cv { namespace ocl { namespace hough
namespace
{
int buildPointList_gpu(const oclMat& src, oclMat& list)
{
@ -87,9 +75,9 @@ namespace cv { namespace ocl { namespace hough
int totalCount = 0;
int err = CL_SUCCESS;
cl_mem counter = clCreateBuffer(src.clCxt->impl->clContext,
CL_MEM_COPY_HOST_PTR,
CL_MEM_COPY_HOST_PTR,
sizeof(int),
&totalCount,
&totalCount,
&err);
openCLSafeCall(err);
@ -99,7 +87,7 @@ namespace cv { namespace ocl { namespace hough
const int PIXELS_PER_BLOCK = blkSizeX * PIXELS_PER_THREAD;
const size_t glbSizeX = src.cols % (PIXELS_PER_BLOCK) == 0 ? src.cols : MUL_UP(src.cols, PIXELS_PER_BLOCK);
const size_t glbSizeY = src.rows % blkSizeY == 0 ? src.rows : MUL_UP(src.rows, blkSizeY);
const size_t glbSizeY = src.rows % blkSizeY == 0 ? src.rows : MUL_UP(src.rows, blkSizeY);
size_t globalThreads[3] = { glbSizeX, glbSizeY, 1 };
vector<pair<size_t , const void *> > args;
@ -111,23 +99,23 @@ namespace cv { namespace ocl { namespace hough
args.push_back( make_pair( sizeof(cl_mem) , (void *)&counter ));
openCLExecuteKernel(src.clCxt, &imgproc_hough, "buildPointList", globalThreads, localThreads, args, -1, -1);
openCLSafeCall(clEnqueueReadBuffer(src.clCxt->impl->clCmdQueue, counter, CL_TRUE, 0, sizeof(int), &totalCount, 0, NULL, NULL));
openCLSafeCall(clEnqueueReadBuffer(src.clCxt->impl->clCmdQueue, counter, CL_TRUE, 0, sizeof(int), &totalCount, 0, NULL, NULL));
openCLSafeCall(clReleaseMemObject(counter));
return totalCount;
}
}}}
}
}
//////////////////////////////////////////////////////////
// HoughCircles
namespace cv { namespace ocl { namespace hough
namespace
{
void circlesAccumCenters_gpu(const oclMat& list, int count, const oclMat& dx, const oclMat& dy, oclMat& accum, int minRadius, int maxRadius, float idp)
{
const size_t blkSizeX = 256;
size_t localThreads[3] = { 256, 1, 1 };
const size_t glbSizeX = count % blkSizeX == 0 ? count : MUL_UP(count, blkSizeX);
size_t globalThreads[3] = { glbSizeX, 1, 1 };
@ -140,16 +128,16 @@ namespace cv { namespace ocl { namespace hough
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dx.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dx.step ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dy.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dy.step ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dy.step ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&accum.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&accum.step ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&accum.step ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&width ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&height ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&minRadius));
args.push_back( make_pair( sizeof(cl_int) , (void *)&maxRadius));
args.push_back( make_pair( sizeof(cl_float), (void *)&idp));
openCLExecuteKernel(accum.clCxt, &imgproc_hough, "circlesAccumCenters", globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(accum.clCxt, &imgproc_hough, "circlesAccumCenters", globalThreads, localThreads, args, -1, -1);
}
int buildCentersList_gpu(const oclMat& accum, oclMat& centers, int threshold)
@ -157,16 +145,16 @@ namespace cv { namespace ocl { namespace hough
int totalCount = 0;
int err = CL_SUCCESS;
cl_mem counter = clCreateBuffer(accum.clCxt->impl->clContext,
CL_MEM_COPY_HOST_PTR,
CL_MEM_COPY_HOST_PTR,
sizeof(int),
&totalCount,
&totalCount,
&err);
openCLSafeCall(err);
openCLSafeCall(err);
const size_t blkSizeX = 32;
const size_t blkSizeY = 8;
size_t localThreads[3] = { blkSizeX, blkSizeY, 1 };
size_t localThreads[3] = { blkSizeX, blkSizeY, 1 };
const size_t glbSizeX = (accum.cols - 2) % blkSizeX == 0 ? accum.cols - 2 : MUL_UP(accum.cols - 2, blkSizeX);
const size_t glbSizeY = (accum.rows - 2) % blkSizeY == 0 ? accum.rows - 2 : MUL_UP(accum.rows - 2, blkSizeY);
size_t globalThreads[3] = { glbSizeX, glbSizeY, 1 };
@ -181,10 +169,10 @@ namespace cv { namespace ocl { namespace hough
args.push_back( make_pair( sizeof(cl_mem) , (void *)&counter ));
openCLExecuteKernel(accum.clCxt, &imgproc_hough, "buildCentersList", globalThreads, localThreads, args, -1, -1);
openCLSafeCall(clEnqueueReadBuffer(accum.clCxt->impl->clCmdQueue, counter, CL_TRUE, 0, sizeof(int), &totalCount, 0, NULL, NULL));
openCLSafeCall(clEnqueueReadBuffer(accum.clCxt->impl->clCmdQueue, counter, CL_TRUE, 0, sizeof(int), &totalCount, 0, NULL, NULL));
openCLSafeCall(clReleaseMemObject(counter));
return totalCount;
}
@ -196,13 +184,13 @@ namespace cv { namespace ocl { namespace hough
int totalCount = 0;
int err = CL_SUCCESS;
cl_mem counter = clCreateBuffer(circles.clCxt->impl->clContext,
CL_MEM_COPY_HOST_PTR,
CL_MEM_COPY_HOST_PTR,
sizeof(int),
&totalCount,
&totalCount,
&err);
openCLSafeCall(err);
openCLSafeCall(err);
const size_t blkSizeX = circles.clCxt->impl->maxWorkGroupSize;
const size_t blkSizeX = circles.clCxt->impl->maxWorkGroupSize;
size_t localThreads[3] = { blkSizeX, 1, 1 };
const size_t glbSizeX = centersCount * blkSizeX;
@ -227,10 +215,10 @@ namespace cv { namespace ocl { namespace hough
CV_Assert(circles.offset == 0);
openCLExecuteKernel(circles.clCxt, &imgproc_hough, "circlesAccumRadius", globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(circles.clCxt, &imgproc_hough, "circlesAccumRadius", globalThreads, localThreads, args, -1, -1);
openCLSafeCall(clEnqueueReadBuffer(circles.clCxt->impl->clCmdQueue, counter, CL_TRUE, 0, sizeof(int), &totalCount, 0, NULL, NULL));
openCLSafeCall(clReleaseMemObject(counter));
totalCount = ::min(totalCount, maxCircles);
@ -239,7 +227,7 @@ namespace cv { namespace ocl { namespace hough
}
}}} // namespace cv { namespace ocl { namespace hough
} // namespace
@ -261,13 +249,13 @@ void cv::ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf&
CV_Assert(cannyThreshold > 0);
CV_Assert(votesThreshold > 0);
CV_Assert(maxCircles > 0);
const float idp = 1.0f / dp;
cv::ocl::Canny(src, buf.cannyBuf, buf.edges, std::max(cannyThreshold / 2, 1), cannyThreshold);
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.srcPoints);
const int pointsCount = hough::buildPointList_gpu(buf.edges, buf.srcPoints);
const int pointsCount = buildPointList_gpu(buf.edges, buf.srcPoints);
if (pointsCount == 0)
{
circles.release();
@ -277,10 +265,10 @@ void cv::ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf&
ensureSizeIsEnough(cvCeil(src.rows * idp) + 2, cvCeil(src.cols * idp) + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
hough::circlesAccumCenters_gpu(buf.srcPoints, pointsCount, buf.cannyBuf.dx, buf.cannyBuf.dy, buf.accum, minRadius, maxRadius, idp);
circlesAccumCenters_gpu(buf.srcPoints, pointsCount, buf.cannyBuf.dx, buf.cannyBuf.dy, buf.accum, minRadius, maxRadius, idp);
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.centers);
int centersCount = hough::buildCentersList_gpu(buf.accum, buf.centers, votesThreshold);
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.centers);
int centersCount = buildCentersList_gpu(buf.accum, buf.centers, votesThreshold);
if (centersCount == 0)
{
circles.release();
@ -304,9 +292,9 @@ void cv::ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf&
oldBuf,
0,
NULL,
NULL));
NULL));
const int cellSize = cvRound(minDist);
const int gridWidth = (src.cols + cellSize - 1) / cellSize;
const int gridHeight = (src.rows + cellSize - 1) / cellSize;
@ -348,7 +336,7 @@ void cv::ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf&
const int val = m[j];
const int jx = val & 0xFFFF;
const int jy = (val >> 16) & 0xFFFF;
float dx = (float)(px - jx);
float dy = (float)(py - jy);
@ -378,13 +366,13 @@ void cv::ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf&
newBuf,
0,
0,
0));
0));
centersCount = newCount;
}
ensureSizeIsEnough(1, maxCircles, CV_32FC3, circles);
const int circlesCount = hough::circlesAccumRadius_gpu(buf.centers, centersCount,
const int circlesCount = circlesAccumRadius_gpu(buf.centers, centersCount,
buf.srcPoints, pointsCount,
circles, maxCircles,
dp, minRadius, maxRadius, votesThreshold);
@ -399,7 +387,7 @@ void cv::ocl::HoughCirclesDownload(const oclMat& d_circles, cv::OutputArray h_ci
{
// FIX ME: garbage values are copied!
CV_Error(CV_StsNotImplemented, "HoughCirclesDownload is not implemented");
if (d_circles.empty())
{
h_circles_.release();