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Merge remote-tracking branch 'origin/2.4'

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Conflicts:
	3rdparty/libjasper/CMakeLists.txt
	cmake/OpenCVDetectOpenCL.cmake
	modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
	modules/imgproc/src/floodfill.cpp
	modules/ocl/include/opencv2/ocl/ocl.hpp
	modules/ocl/src/arithm.cpp
	modules/ocl/src/haar.cpp
	modules/ocl/src/imgproc.cpp
	modules/ocl/src/initialization.cpp
	modules/ocl/src/matrix_operations.cpp
	modules/ocl/src/mcwutil.cpp
	modules/ocl/src/opencl/arithm_bitwise_and_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_and_scalar_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_binary_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_binary_scalar.cl
	modules/ocl/src/opencl/arithm_bitwise_binary_scalar_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_or.cl
	modules/ocl/src/opencl/arithm_bitwise_or_scalar.cl
	modules/ocl/src/opencl/arithm_bitwise_or_scalar_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_xor.cl
	modules/ocl/src/opencl/arithm_bitwise_xor_mask.cl
	modules/ocl/src/opencl/arithm_bitwise_xor_scalar.cl
	modules/ocl/src/stereobm.cpp
	modules/ocl/test/precomp.hpp
	modules/python/src2/api
	modules/ts/src/ts_func.cpp
	samples/gpu/bgfg_segm.cpp
This commit is contained in:
Roman Donchenko
2013-05-21 14:35:24 +04:00
parent 416eaf2ae1 389be67605
commit 029fce10c9
117 changed files with 6058 additions and 11415 deletions
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176
modules/ocl/test/test_imgproc.cpp
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@@ -12,6 +12,7 @@
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
@@ -327,7 +328,7 @@ PARAM_TEST_CASE(ImgprocTestBase, MatType, MatType, MatType, MatType, MatType, bo
cv::Mat mask_roi;
cv::Mat dst_roi;
cv::Mat dst1_roi; //bak
//std::vector<cv::ocl::Info> oclinfo;
//ocl mat
cv::ocl::oclMat clmat1;
cv::ocl::oclMat clmat2;
@@ -352,10 +353,6 @@ PARAM_TEST_CASE(ImgprocTestBase, MatType, MatType, MatType, MatType, MatType, bo
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
double min = 1, max = 20;
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
if(type1 != nulltype)
{
@@ -445,6 +442,13 @@ PARAM_TEST_CASE(ImgprocTestBase, MatType, MatType, MatType, MatType, MatType, bo
clmask_roi = clmask(Rect(maskx, masky, roicols, roirows));
}
}
void Near(double threshold)
{
cv::Mat cpu_cldst;
cldst.download(cpu_cldst);
EXPECT_MAT_NEAR(dst, cpu_cldst, threshold);
}
};
////////////////////////////////equalizeHist//////////////////////////////////////////
@@ -464,11 +468,7 @@ TEST_P(equalizeHist, Mat)
random_roi();
cv::equalizeHist(mat1_roi, dst_roi);
cv::ocl::equalizeHist(clmat1_roi, cldst_roi);
cv::Mat cpu_cldst;
cldst.download(cpu_cldst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,dst1x=%d,dst1y=%d,maskx=%d,masky=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, dst1x, dst1y, maskx, masky, src2x, src2y);
EXPECT_MAT_NEAR(dst, cpu_cldst, 1.1, sss);
Near(1.1);
}
}
}
@@ -488,7 +488,7 @@ TEST_P(bilateralFilter, Mat)
int d = 2 * radius + 1;
double sigmaspace = 20.0;
int bordertype[] = {cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_REFLECT, cv::BORDER_WRAP, cv::BORDER_REFLECT_101};
const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP", "BORDER_REFLECT_101"};
//const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP", "BORDER_REFLECT_101"};
if (mat1.depth() != CV_8U || mat1.type() != dst.type())
{
@@ -517,25 +517,7 @@ TEST_P(bilateralFilter, Mat)
cv::bilateralFilter(mat1_roi, dst_roi, d, sigmacolor, sigmaspace, bordertype[i] | cv::BORDER_ISOLATED);
cv::ocl::bilateralFilter(clmat1_roi, cldst_roi, d, sigmacolor, sigmaspace, bordertype[i] | cv::BORDER_ISOLATED);
cv::Mat cpu_cldst;
cldst.download(cpu_cldst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,radius=%d,boredertype=%s", roicols, roirows, src1x, src1y, dstx, dsty, radius, borderstr[i]);
//for(int i=0;i<dst.rows;i++)
//{
// for(int j=0;j<dst.cols*dst.channels();j++)
// {
// if(dst.at<uchar>(i,j)!=cpu_cldst.at<uchar>(i,j))
// cout<< i <<" "<< j <<" "<< (int)dst.at<uchar>(i,j)<<" "<< (int)cpu_cldst.at<uchar>(i,j)<<" ";
// }
// cout<<endl;
//}
EXPECT_MAT_NEAR(dst, cpu_cldst, 1.0, sss);
Near(1.);
}
}
}
@@ -549,7 +531,7 @@ struct CopyMakeBorder : ImgprocTestBase {};
TEST_P(CopyMakeBorder, Mat)
{
int bordertype[] = {cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_REFLECT, cv::BORDER_WRAP, cv::BORDER_REFLECT_101};
const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP", "BORDER_REFLECT_101"};
//const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP", "BORDER_REFLECT_101"};
cv::RNG &rng = TS::ptr()->get_rng();
int top = rng.uniform(0, 10);
int bottom = rng.uniform(0, 10);
@@ -587,24 +569,12 @@ TEST_P(CopyMakeBorder, Mat)
cv::Mat cpu_cldst;
#ifndef RANDOMROI
cldst_roi.download(cpu_cldst);
EXPECT_MAT_NEAR(dst_roi, cpu_cldst, 0.0);
#else
cldst.download(cpu_cldst);
EXPECT_MAT_NEAR(dst, cpu_cldst, 0.0);
#endif
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,dst1x=%d,dst1y=%d,top=%d,bottom=%d,left=%d,right=%d, bordertype=%s", roicols, roirows, src1x, src1y, dstx, dsty, dst1x, dst1y, top, bottom, left, right, borderstr[i]);
#ifndef RANDOMROI
EXPECT_MAT_NEAR(dst_roi, cpu_cldst, 0.0, sss);
#else
//for(int i=0;i<dst.rows;i++)
//{
//for(int j=0;j<dst.cols;j++)
//{
// cout<< (int)dst.at<uchar>(i,j)<<" ";
//}
//cout<<endl;
//}
EXPECT_MAT_NEAR(dst, cpu_cldst, 0.0, sss);
#endif
}
}
}
@@ -627,14 +597,7 @@ TEST_P(cornerMinEigenVal, Mat)
int borderType = cv::BORDER_REFLECT;
cv::cornerMinEigenVal(mat1_roi, dst_roi, blockSize, apertureSize, borderType);
cv::ocl::cornerMinEigenVal(clmat1_roi, cldst_roi, blockSize, apertureSize, borderType);
cv::Mat cpu_cldst;
cldst.download(cpu_cldst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,dst1x=%d,dst1y=%d,maskx=%d,masky=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, dst1x, dst1y, maskx, masky, src2x, src2y);
EXPECT_MAT_NEAR(dst, cpu_cldst, 1, sss);
Near(1.);
}
}
@@ -657,13 +620,7 @@ TEST_P(cornerHarris, Mat)
int borderType = cv::BORDER_REFLECT;
cv::cornerHarris(mat1_roi, dst_roi, blockSize, apertureSize, k, borderType);
cv::ocl::cornerHarris(clmat1_roi, cldst_roi, blockSize, apertureSize, k, borderType);
cv::Mat cpu_cldst;
cldst.download(cpu_cldst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,dst1x=%d,dst1y=%d,maskx=%d,masky=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, dst1x, dst1y, maskx, masky, src2x, src2y);
EXPECT_MAT_NEAR(dst, cpu_cldst, 1, sss);
Near(1.);
}
}
@@ -680,15 +637,11 @@ TEST_P(integral, Mat)
cv::ocl::integral(clmat1_roi, cldst_roi, cldst1_roi);
cv::integral(mat1_roi, dst_roi, dst1_roi);
Near(0);
cv::Mat cpu_cldst, cpu_cldst1;
cldst.download(cpu_cldst);
cv::Mat cpu_cldst1;
cldst1.download(cpu_cldst1);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,dst1x=%d,dst1y=%d,maskx=%d,masky=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, dst1x, dst1y, maskx, masky, src2x, src2y);
EXPECT_MAT_NEAR(dst, cpu_cldst, 0.0, sss);
EXPECT_MAT_NEAR(dst1, cpu_cldst1, 0.0, sss);
EXPECT_MAT_NEAR(dst1, cpu_cldst1, 0.0);
}
}
@@ -720,7 +673,7 @@ PARAM_TEST_CASE(WarpTestBase, MatType, int)
//src mat with roi
cv::Mat mat1_roi;
cv::Mat dst_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
@@ -740,10 +693,6 @@ PARAM_TEST_CASE(WarpTestBase, MatType, int)
mat1 = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, size, type, 5, 16, false);
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
}
void random_roi()
@@ -805,10 +754,7 @@ TEST_P(WarpAffine, Mat)
cv::Mat cpu_dst;
gdst_whole.download(cpu_dst);
char sss[1024];
sprintf(sss, "src_roicols=%d,src_roirows=%d,dst_roicols=%d,dst_roirows=%d,src1x =%d,src1y=%d,dstx=%d,dsty=%d", src_roicols, src_roirows, dst_roicols, dst_roirows, src1x, src1y, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0);
}
}
@@ -837,10 +783,7 @@ TEST_P(WarpPerspective, Mat)
cv::Mat cpu_dst;
gdst_whole.download(cpu_dst);
char sss[1024];
sprintf(sss, "src_roicols=%d,src_roirows=%d,dst_roicols=%d,dst_roirows=%d,src1x =%d,src1y=%d,dstx=%d,dsty=%d", src_roicols, src_roirows, dst_roicols, dst_roirows, src1x, src1y, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0);
}
}
@@ -905,9 +848,6 @@ PARAM_TEST_CASE(Remap, MatType, MatType, MatType, int, int)
interpolation = GET_PARAM(3);
bordertype = GET_PARAM(4);
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size srcSize = cv::Size(MWIDTH, MHEIGHT);
cv::Size map1Size = cv::Size(MWIDTH, MHEIGHT);
@@ -1004,7 +944,7 @@ TEST_P(Remap, Mat)
return;
}
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"*/};
//const char *borderstr[] = {"BORDER_CONSTANT", "BORDER_REPLICATE"/*, "BORDER_REFLECT","BORDER_WRAP","BORDER_REFLECT_101"*/};
// for(int i = 0; i < sizeof(bordertype)/sizeof(int); i++)
for(int j = 0; j < LOOP_TIMES; j++)
{
@@ -1014,13 +954,9 @@ TEST_P(Remap, Mat)
cv::Mat cpu_dst;
gdst.download(cpu_dst);
char sss[1024];
sprintf(sss, "src_roicols=%d,src_roirows=%d,dst_roicols=%d,dst_roirows=%d,src1x =%d,src1y=%d,dstx=%d,dsty=%d bordertype=%s", src_roicols, src_roirows, dst_roicols, dst_roirows, srcx, srcy, dstx, dsty, borderstr[0]);
if(interpolation == 0)
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 2.0, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0);
EXPECT_MAT_NEAR(dst, cpu_dst, 2.0);
}
}
@@ -1051,7 +987,6 @@ PARAM_TEST_CASE(Resize, MatType, cv::Size, double, double, int)
int dstx;
int dsty;
//std::vector<cv::ocl::Info> oclinfo;
//src mat with roi
cv::Mat mat1_roi;
cv::Mat dst_roi;
@@ -1090,10 +1025,6 @@ PARAM_TEST_CASE(Resize, MatType, cv::Size, double, double, int)
mat1 = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, dsize, type, 5, 16, false);
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
}
void random_roi()
@@ -1149,10 +1080,7 @@ TEST_P(Resize, Mat)
cv::Mat cpu_dst;
gdst_whole.download(cpu_dst);
char sss[1024];
sprintf(sss, "src_roicols=%d,src_roirows=%d,dst_roicols=%d,dst_roirows=%d,src1x =%d,src1y=%d,dstx=%d,dsty=%d", src_roicols, src_roirows, dst_roicols, dst_roirows, src1x, src1y, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 1.0);
}
}
@@ -1181,7 +1109,7 @@ PARAM_TEST_CASE(Threshold, MatType, ThreshOp)
//src mat with roi
cv::Mat mat1_roi;
cv::Mat dst_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
@@ -1199,11 +1127,6 @@ PARAM_TEST_CASE(Threshold, MatType, ThreshOp)
mat1 = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, size, type, 5, 16, false);
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
}
void random_roi()
@@ -1251,12 +1174,7 @@ TEST_P(Threshold, Mat)
cv::Mat cpu_dst;
gdst_whole.download(cpu_dst);
//EXPECT_MAT_NEAR(dst, cpu_dst, 1e-5)
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x =%d,src1y=%d,dstx=%d,dsty=%d", roicols, roirows, src1x , src1y, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_dst, 1, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, 1);
}
}
@@ -1288,7 +1206,6 @@ PARAM_TEST_CASE(meanShiftTestBase, MatType, MatType, int, int, cv::TermCriteria)
cv::ocl::oclMat gdst;
cv::ocl::oclMat gdstCoor;
//std::vector<cv::ocl::Info> oclinfo;
//ocl mat with roi
cv::ocl::oclMat gsrc_roi;
cv::ocl::oclMat gdst_roi;
@@ -1311,10 +1228,6 @@ PARAM_TEST_CASE(meanShiftTestBase, MatType, MatType, int, int, cv::TermCriteria)
dst = randomMat(rng, size, type, 5, 16, false);
dstCoor = randomMat(rng, size, typeCoor, 5, 16, false);
//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
}
void random_roi()
@@ -1367,11 +1280,7 @@ TEST_P(meanShiftFiltering, Mat)
cv::ocl::meanShiftFiltering(gsrc_roi, gdst_roi, sp, sr, crit);
gdst.download(cpu_gdst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,srcx=%d,srcy=%d,dstx=%d,dsty=%d\n", roicols, roirows, srcx, srcy, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_gdst, 0.0, sss);
EXPECT_MAT_NEAR(dst, cpu_gdst, 0.0);
}
}
@@ -1393,11 +1302,8 @@ TEST_P(meanShiftProc, Mat)
gdst.download(cpu_gdst);
gdstCoor.download(cpu_gdstCoor);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,srcx=%d,srcy=%d,dstx=%d,dsty=%d\n", roicols, roirows, srcx, srcy, dstx, dsty);
EXPECT_MAT_NEAR(dst, cpu_gdst, 0.0, sss);
EXPECT_MAT_NEAR(dstCoor, cpu_gdstCoor, 0.0, sss);
EXPECT_MAT_NEAR(dst, cpu_gdst, 0.0);
EXPECT_MAT_NEAR(dstCoor, cpu_gdstCoor, 0.0);
}
}
@@ -1436,7 +1342,6 @@ PARAM_TEST_CASE(histTestBase, MatType, MatType)
cv::ocl::oclMat gdst_hist;
//ocl mat with roi
cv::ocl::oclMat gsrc_roi;
// std::vector<cv::ocl::Info> oclinfo;
virtual void SetUp()
{
@@ -1447,10 +1352,6 @@ PARAM_TEST_CASE(histTestBase, MatType, MatType)
src = randomMat(rng, size, type_src, 0, 256, false);
// int devnums = getDevice(oclinfo);
// CV_Assert(devnums > 0);
//if you want to use undefault device, set it here
//setDevice(oclinfo[0]);
}
void random_roi()
@@ -1489,10 +1390,7 @@ TEST_P(calcHist, Mat)
cv::ocl::calcHist(gsrc_roi, gdst_hist);
gdst_hist.download(cpu_hist);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,srcx=%d,srcy=%d\n", roicols, roirows, srcx, srcy);
EXPECT_MAT_NEAR(dst_hist, cpu_hist, 0.0, sss);
EXPECT_MAT_NEAR(dst_hist, cpu_hist, 0.0);
}
}
@@ -1629,11 +1527,7 @@ TEST_P(Convolve, Mat)
cv::Mat cpu_dst;
gdst_whole.download(cpu_dst);
char sss[1024];
sprintf(sss, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, src2x, src2y);
EXPECT_MAT_NEAR(dst, cpu_dst, 1e-1, sss);
EXPECT_MAT_NEAR(dst, cpu_dst, .1);
}
}