Merge pull request #935 from pengx17:2.4_filter2d_fix

This commit is contained in:
Vadim Pisarevsky 2013-06-04 13:34:39 +04:00 committed by OpenCV Buildbot
commit 2d88f20c1e
5 changed files with 18 additions and 11 deletions

View File

@ -689,6 +689,8 @@ namespace cv
}
//! applies non-separable 2D linear filter to the image
// Note, at the moment this function only works when anchor point is in the kernel center
// and kernel size supported is either 3x3 or 5x5; otherwise the function will fail to output valid result
CV_EXPORTS void filter2D(const oclMat &src, oclMat &dst, int ddepth, const Mat &kernel,
Point anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);

View File

@ -645,7 +645,11 @@ static void GPUFilter2D(const oclMat &src, oclMat &dst, oclMat &mat_kernel,
args.push_back(make_pair(sizeof(cl_int), (void *)&src.wholecols));
args.push_back(make_pair(sizeof(cl_int), (void *)&src.wholerows));
openCLExecuteKernel(clCxt, &filtering_laplacian, kernelName, globalThreads, localThreads, args, cn, depth);
const int buffer_size = 100;
char opt_buffer [buffer_size] = "";
sprintf(opt_buffer, "-DANCHOR=%d -DANX=%d -DANY=%d", ksize.width, anchor.x, anchor.y);
openCLExecuteKernel(clCxt, &filtering_laplacian, kernelName, globalThreads, localThreads, args, cn, depth, opt_buffer);
}
Ptr<BaseFilter_GPU> cv::ocl::getLinearFilter_GPU(int srcType, int dstType, const Mat &kernel, const Size &ksize,
Point anchor, int borderType)
@ -656,7 +660,7 @@ Ptr<BaseFilter_GPU> cv::ocl::getLinearFilter_GPU(int srcType, int dstType, const
oclMat gpu_krnl;
int nDivisor;
normalizeKernel(kernel, gpu_krnl, CV_32S, &nDivisor, true);
normalizeKernel(kernel, gpu_krnl, CV_32S, &nDivisor, false);
normalizeAnchor(anchor, ksize);
return Ptr<BaseFilter_GPU>(new LinearFilter_GPU(ksize, anchor, gpu_krnl, GPUFilter2D_callers[CV_MAT_CN(srcType)],
@ -1172,7 +1176,7 @@ void linearRowFilter_gpu(const oclMat &src, const oclMat &dst, oclMat mat_kernel
args.push_back(make_pair(sizeof(cl_int), (void *)&ridusy));
args.push_back(make_pair(sizeof(cl_mem), (void *)&mat_kernel.data));
openCLExecuteKernel2(clCxt, &filter_sep_row, kernelName, globalThreads, localThreads, args, channels, src.depth(), compile_option, CLFLUSH);
openCLExecuteKernel(clCxt, &filter_sep_row, kernelName, globalThreads, localThreads, args, channels, src.depth(), compile_option);
}
Ptr<BaseRowFilter_GPU> cv::ocl::getLinearRowFilter_GPU(int srcType, int /*bufType*/, const Mat &rowKernel, int anchor, int bordertype)

View File

@ -257,7 +257,8 @@ void cv::ocl::GoodFeaturesToTrackDetector_OCL::operator ()(const oclMat& image,
if (minDistance < 1)
{
corners = tmpCorners_(Rect(0, 0, maxCorners > 0 ? std::min(maxCorners, total) : total, 1));
Rect roi_range(0, 0, maxCorners > 0 ? std::min(maxCorners, total) : total, 1);
tmpCorners_(roi_range).copyTo(corners);
}
else
{

View File

@ -82,9 +82,9 @@
//////////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////Macro for define elements number per thread/////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////
#define ANCHOR 3
#define ANX 1
#define ANY 1
//#define ANCHOR 3
//#define ANX 1
//#define ANY 1
#define ROWS_PER_GROUP 4
#define ROWS_PER_GROUP_BITS 2
@ -185,7 +185,7 @@ __kernel void filter2D_C1_D0(__global uchar *src, int src_step, int src_offset_x
for(int i = 0; i < ANCHOR; i++)
{
#pragma unroll 3
#pragma unroll
for(int j = 0; j < ANCHOR; j++)
{
if(dst_rows_index < dst_rows_end)
@ -295,7 +295,7 @@ __kernel void filter2D_C1_D5(__global float *src, int src_step, int src_offset_x
for(int i = 0; i < ANCHOR; i++)
{
#pragma unroll 3
#pragma unroll
for(int j = 0; j < ANCHOR; j++)
{
if(dst_rows_index < dst_rows_end)
@ -410,7 +410,7 @@ __kernel void filter2D_C4_D0(__global uchar4 *src, int src_step, int src_offset_
for(int i = 0; i < ANCHOR; i++)
{
#pragma unroll 3
#pragma unroll
for(int j = 0; j < ANCHOR; j++)
{
if(dst_rows_index < dst_rows_end)

View File

@ -121,7 +121,7 @@ TEST_P(GoodFeaturesToTrack, EmptyCorners)
cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);
cv::ocl::oclMat src(100, 100, CV_8UC1, cv::Scalar::all(0));
cv::ocl::oclMat src(100, 128, CV_8UC1, cv::Scalar::all(0));
cv::ocl::oclMat corners(1, maxCorners, CV_32FC2);
detector(src, corners);