ocl: tests: RNG usage refactoring

This commit is contained in:
Alexander Alekhin
2013-10-02 20:18:48 +04:00
parent 8224f9843e
commit de0f310e81
19 changed files with 316 additions and 486 deletions

View File

@@ -80,12 +80,14 @@ PARAM_TEST_CASE(Lut, int, int, bool, bool)
cv::Mat dst_roi;
// ocl dst mat for testing
cv::ocl::oclMat gsrc_whole;
cv::ocl::oclMat glut_whole;
cv::ocl::oclMat gdst_whole;
// ocl mat with roi
cv::ocl::oclMat gsrc;
cv::ocl::oclMat glut;
cv::ocl::oclMat gdst;
cv::ocl::oclMat gsrc_roi;
cv::ocl::oclMat glut_roi;
cv::ocl::oclMat gdst_roi;
virtual void SetUp()
{
@@ -93,66 +95,34 @@ PARAM_TEST_CASE(Lut, int, int, bool, bool)
cn = GET_PARAM(1);
same_cn = GET_PARAM(2);
use_roi = GET_PARAM(3);
const int src_type = CV_MAKE_TYPE(CV_8U, cn);
const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1);
const int dst_type = CV_MAKE_TYPE(lut_depth, cn);
cv::RNG &rng = TS::ptr()->get_rng();
src = randomMat(rng, randomSize(MIN_VALUE, MAX_VALUE), src_type, 0, 256, false);
lut = randomMat(rng, use_roi ? randomSize(260, 300) : Size(256, 1), lut_type, 5, 16, false);
dst = randomMat(rng, use_roi ? randomSize(MIN_VALUE, MAX_VALUE) : src.size(), dst_type, 5, 16, false);
}
void random_roi()
{
// set up roi
int roicols, roirows;
int srcx, srcy;
int lutx, luty;
int dstx, dsty;
const int src_type = CV_MAKE_TYPE(CV_8U, cn);
const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1);
const int dst_type = CV_MAKE_TYPE(lut_depth, cn);
if (use_roi)
{
// randomize ROI
cv::RNG &rng = TS::ptr()->get_rng();
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, src_type, 0, 256);
roicols = rng.uniform(1, MIN_VALUE);
roirows = rng.uniform(1, MIN_VALUE);
Size lutRoiSize = Size(256, 1);
Border lutBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(lut, lut_roi, lutRoiSize, lutBorder, lut_type, 5, 16);
srcx = rng.uniform(0, src.cols - roicols);
srcy = rng.uniform(0, src.rows - roirows);
lutx = rng.uniform(0, lut.cols - 256);
luty = rng.uniform(0, lut.rows - 1);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, dst_type, 5, 16);
dstx = rng.uniform(0, dst.cols - roicols);
dsty = rng.uniform(0, dst.rows - roirows);
}
else
{
roicols = src.cols;
roirows = src.rows;
srcx = srcy = 0;
lutx = luty = 0;
dstx = dsty = 0;
}
src_roi = src(Rect(srcx, srcy, roicols, roirows));
lut_roi = lut(Rect(lutx, luty, 256, 1));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gsrc = src_roi;
glut = lut_roi;
generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder);
generateOclMat(glut_whole, glut_roi, lut, lutRoiSize, lutBorder);
generateOclMat(gdst_whole, gdst_roi, dst, roiSize, dstBorder);
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst, Mat(gdst_whole), threshold);
EXPECT_MAT_NEAR(dst_roi, Mat(gdst), threshold);
EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), threshold);
}
};
@@ -163,7 +133,7 @@ TEST_P(Lut, Mat)
random_roi();
cv::LUT(src_roi, lut_roi, dst_roi);
cv::ocl::LUT(gsrc, glut, gdst);
cv::ocl::LUT(gsrc_roi, glut_roi, gdst_roi);
Near();
}
@@ -183,50 +153,34 @@ PARAM_TEST_CASE(ArithmTestBase, int, int, bool)
cv::Mat src2;
cv::Mat mask;
cv::Mat dst1;
cv::Mat dst2; // for two outputs
// set up roi
int roicols, roirows;
int src1x, src1y;
int src2x, src2y;
int dst1x, dst1y;
int dst2x, dst2y;
int maskx, masky;
cv::Mat dst2;
// src mat with roi
cv::Mat src1_roi;
cv::Mat src2_roi;
cv::Mat mask_roi;
cv::Mat dst1_roi;
cv::Mat dst2_roi; // for two outputs
cv::Mat dst2_roi;
// ocl dst mat for testing
cv::ocl::oclMat gsrc1_whole;
cv::ocl::oclMat gsrc2_whole;
cv::ocl::oclMat gdst1_whole;
cv::ocl::oclMat gdst2_whole; // for two outputs
cv::ocl::oclMat gdst2_whole;
cv::ocl::oclMat gmask_whole;
// ocl mat with roi
cv::ocl::oclMat gsrc1;
cv::ocl::oclMat gsrc2;
cv::ocl::oclMat gdst1;
cv::ocl::oclMat gdst2; // for two outputs
cv::ocl::oclMat gmask;
cv::ocl::oclMat gsrc1_roi;
cv::ocl::oclMat gsrc2_roi;
cv::ocl::oclMat gdst1_roi;
cv::ocl::oclMat gdst2_roi;
cv::ocl::oclMat gmask_roi;
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, cn);
cv::RNG &rng = TS::ptr()->get_rng();
src1 = randomMat(rng, randomSize(MIN_VALUE, MAX_VALUE), type, 2, 11, false);
src2 = randomMat(rng, !use_roi ? src1.size() : randomSize(MIN_VALUE, MAX_VALUE), type, -1540, 1740, false);
dst1 = randomMat(rng, !use_roi ? src1.size() : randomSize(MIN_VALUE, MAX_VALUE), type, 5, 16, false);
dst2 = randomMat(rng, !use_roi ? src1.size() : randomSize(MIN_VALUE, MAX_VALUE), type, 5, 16, false);
mask = randomMat(rng, !use_roi ? src1.size() : randomSize(MIN_VALUE, MAX_VALUE), CV_8UC1, 0, 2, false);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
@@ -234,65 +188,43 @@ PARAM_TEST_CASE(ArithmTestBase, int, int, bool)
void random_roi()
{
if (use_roi)
{
// randomize ROI
cv::RNG &rng = TS::ptr()->get_rng();
const int type = CV_MAKE_TYPE(depth, cn);
roicols = rng.uniform(1, MIN_VALUE);
roirows = rng.uniform(1, MIN_VALUE);
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 2, 11);
src1x = rng.uniform(0, src1.cols - roicols);
src1y = rng.uniform(0, src1.rows - roirows);
src2x = rng.uniform(0, src2.cols - roicols);
src2y = rng.uniform(0, src2.rows - roirows);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, type, -1540, 1740);
dst1x = rng.uniform(0, dst1.cols - roicols);
dst1y = rng.uniform(0, dst1.rows - roirows);
dst2x = rng.uniform(0, dst2.cols - roicols);
dst2y = rng.uniform(0, dst2.rows - roirows);
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type, 5, 16);
maskx = rng.uniform(0, mask.cols - roicols);
masky = rng.uniform(0, mask.rows - roirows);
}
else
{
roicols = src1.cols;
roirows = src1.rows;
src1x = src1y = 0;
src2x = src2y = 0;
dst1x = dst1y = 0;
dst2x = dst2y = 0;
maskx = masky = 0;
}
Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst2, dst2_roi, roiSize, dst2Border, type, 5, 16);
src1_roi = src1(Rect(src1x, src1y, roicols, roirows));
src2_roi = src2(Rect(src2x, src2y, roicols, roirows));
mask_roi = mask(Rect(maskx, masky, roicols, roirows));
dst1_roi = dst1(Rect(dst1x, dst1y, roicols, roirows));
dst2_roi = dst2(Rect(dst2x, dst2y, roicols, roirows));
Border maskBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, 0, 2);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
gdst1_whole = dst1;
gdst1 = gdst1_whole(Rect(dst1x, dst1y, roicols, roirows));
gdst2_whole = dst2;
gdst2 = gdst2_whole(Rect(dst2x, dst2y, roicols, roirows));
gsrc1 = src1_roi;
gsrc2 = src2_roi;
gmask = mask_roi;
generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, srcBorder);
generateOclMat(gsrc2_whole, gsrc2_roi, src2, roiSize, src2Border);
generateOclMat(gdst1_whole, gdst1_roi, dst1, roiSize, dst1Border);
generateOclMat(gdst2_whole, gdst2_roi, dst2, roiSize, dst2Border);
generateOclMat(gmask_whole, gmask_roi, mask, roiSize, maskBorder);
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst1, Mat(gdst1_whole), threshold);
EXPECT_MAT_NEAR(dst1_roi, Mat(gdst1), threshold);
EXPECT_MAT_NEAR(dst1_roi, Mat(gdst1_roi), threshold);
}
void Near1(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst2, Mat(gdst2_whole), threshold);
EXPECT_MAT_NEAR(dst2_roi, Mat(gdst2), threshold);
EXPECT_MAT_NEAR(dst2_roi, Mat(gdst2_roi), threshold);
}
};
@@ -307,7 +239,7 @@ TEST_P(Exp, Mat)
random_roi();
cv::exp(src1_roi, dst1_roi);
cv::ocl::exp(gsrc1, gdst1);
cv::ocl::exp(gsrc1_roi, gdst1_roi);
Near(2);
}
@@ -324,7 +256,7 @@ TEST_P(Log, Mat)
random_roi();
cv::log(src1_roi, dst1_roi);
cv::ocl::log(gsrc1, gdst1);
cv::ocl::log(gsrc1_roi, gdst1_roi);
Near(1);
}
}
@@ -340,7 +272,7 @@ TEST_P(Add, Mat)
random_roi();
cv::add(src1_roi, src2_roi, dst1_roi);
cv::ocl::add(gsrc1, gsrc2, gdst1);
cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -352,7 +284,7 @@ TEST_P(Add, Mat_Mask)
random_roi();
cv::add(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::add(gsrc1, gsrc2, gdst1, gmask);
cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
@@ -364,7 +296,7 @@ TEST_P(Add, Scalar)
random_roi();
cv::add(src1_roi, val, dst1_roi);
cv::ocl::add(gsrc1, val, gdst1);
cv::ocl::add(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
@@ -376,7 +308,7 @@ TEST_P(Add, Scalar_Mask)
random_roi();
cv::add(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::add(gsrc1, val, gdst1, gmask);
cv::ocl::add(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
@@ -392,7 +324,7 @@ TEST_P(Sub, Mat)
random_roi();
cv::subtract(src1_roi, src2_roi, dst1_roi);
cv::ocl::subtract(gsrc1, gsrc2, gdst1);
cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
@@ -405,7 +337,7 @@ TEST_P(Sub, Mat_Mask)
random_roi();
cv::subtract(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::subtract(gsrc1, gsrc2, gdst1, gmask);
cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
@@ -417,7 +349,7 @@ TEST_P(Sub, Scalar)
random_roi();
cv::subtract(src1_roi, val, dst1_roi);
cv::ocl::subtract(gsrc1, val, gdst1);
cv::ocl::subtract(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
@@ -430,7 +362,7 @@ TEST_P(Sub, Scalar_Mask)
random_roi();
cv::subtract(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::subtract(gsrc1, val, gdst1, gmask);
cv::ocl::subtract(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
@@ -446,7 +378,7 @@ TEST_P(Mul, Mat)
random_roi();
cv::multiply(src1_roi, src2_roi, dst1_roi);
cv::ocl::multiply(gsrc1, gsrc2, gdst1);
cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -458,9 +390,9 @@ TEST_P(Mul, Scalar)
random_roi();
cv::multiply(val[0], src1_roi, dst1_roi);
cv::ocl::multiply(val[0], gsrc1, gdst1);
cv::ocl::multiply(val[0], gsrc1_roi, gdst1_roi);
Near(gdst1.depth() >= CV_32F ? 1e-3 : 1);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
@@ -471,9 +403,9 @@ TEST_P(Mul, Mat_Scalar)
random_roi();
cv::multiply(src1_roi, src2_roi, dst1_roi, val[0]);
cv::ocl::multiply(gsrc1, gsrc2, gdst1, val[0]);
cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]);
Near(gdst1.depth() >= CV_32F ? 1e-3 : 1);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
@@ -488,7 +420,7 @@ TEST_P(Div, Mat)
random_roi();
cv::divide(src1_roi, src2_roi, dst1_roi);
cv::ocl::divide(gsrc1, gsrc2, gdst1);
cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(1);
}
}
@@ -500,9 +432,9 @@ TEST_P(Div, Scalar)
random_roi();
cv::divide(val[0], src1_roi, dst1_roi);
cv::ocl::divide(val[0], gsrc1, gdst1);
cv::ocl::divide(val[0], gsrc1_roi, gdst1_roi);
Near(gdst1.depth() >= CV_32F ? 1e-3 : 1);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
@@ -513,9 +445,9 @@ TEST_P(Div, Mat_Scalar)
random_roi();
cv::divide(src1_roi, src2_roi, dst1_roi, val[0]);
cv::ocl::divide(gsrc1, gsrc2, gdst1, val[0]);
cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]);
Near(gdst1.depth() >= CV_32F ? 1e-3 : 1);
Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1);
}
}
@@ -530,7 +462,7 @@ TEST_P(Absdiff, Mat)
random_roi();
cv::absdiff(src1_roi, src2_roi, dst1_roi);
cv::ocl::absdiff(gsrc1, gsrc2, gdst1);
cv::ocl::absdiff(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -542,7 +474,7 @@ TEST_P(Absdiff, Mat_Scalar)
random_roi();
cv::absdiff(src1_roi, val, dst1_roi);
cv::ocl::absdiff(gsrc1, val, gdst1);
cv::ocl::absdiff(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
@@ -558,7 +490,7 @@ TEST_P(CartToPolar, angleInDegree)
random_roi();
cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi, true);
cv::ocl::cartToPolar(gsrc1, gsrc2, gdst1, gdst2, true);
cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true);
Near(.5);
Near1(.5);
}
@@ -571,7 +503,7 @@ TEST_P(CartToPolar, angleInRadians)
random_roi();
cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi);
cv::ocl::cartToPolar(gsrc1, gsrc2, gdst1, gdst2);
cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi);
Near(.5);
Near1(.5);
}
@@ -588,7 +520,7 @@ TEST_P(PolarToCart, angleInDegree)
random_roi();
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi, true);
cv::ocl::polarToCart(gsrc1, gsrc2, gdst1, gdst2, true);
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true);
Near(.5);
Near1(.5);
@@ -602,7 +534,7 @@ TEST_P(PolarToCart, angleInRadians)
random_roi();
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi);
cv::ocl::polarToCart(gsrc1, gsrc2, gdst1, gdst2);
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi);
Near(.5);
Near1(.5);
@@ -620,7 +552,7 @@ TEST_P(Magnitude, Mat)
random_roi();
cv::magnitude(src1_roi, src2_roi, dst1_roi);
cv::ocl::magnitude(gsrc1, gsrc2, gdst1);
cv::ocl::magnitude(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(depth == CV_64F ? 1e-5 : 1e-2);
}
}
@@ -636,7 +568,7 @@ TEST_P(Transpose, Mat)
random_roi();
cv::transpose(src1_roi, dst1_roi);
cv::ocl::transpose(gsrc1, gdst1);
cv::ocl::transpose(gsrc1_roi, gdst1_roi);
Near(1e-5);
}
@@ -644,35 +576,23 @@ TEST_P(Transpose, Mat)
TEST_P(Transpose, SquareInplace)
{
cv::RNG &rng = TS::ptr()->get_rng();
int value = randomInt(MIN_VALUE, MAX_VALUE);
src1 = randomMat(rng, Size(value, value), CV_MAKE_TYPE(depth, cn), 5, 16, false);
if (use_roi)
{
roirows = roicols = randomInt(1, src1.cols);
src1x = randomInt(0, src1.cols - roicols);
src1y = randomInt(0, src1.rows - roirows);
}
else
{
roicols = roirows = src1.cols;
src1x = src1y = 0;
}
Rect r(src1x, src1y, roicols, roirows);
src1_roi = src1(r);
gdst1_whole = src1;
gdst1 = gdst1_whole(r);
const int type = CV_MAKE_TYPE(depth, cn);
for (int j = 0; j < LOOP_TIMES; j++)
{
cv::transpose(src1_roi, src1_roi);
cv::ocl::transpose(gdst1, gdst1);
Size roiSize = randomSize(1, MAX_VALUE);
roiSize.height = roiSize.width; // make it square
EXPECT_MAT_NEAR(src1, Mat(gdst1_whole), 0.0);
EXPECT_MAT_NEAR(src1_roi, Mat(gdst1), 0.0);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 5, 16);
generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, srcBorder);
cv::transpose(src1_roi, src1_roi);
cv::ocl::transpose(gsrc1_roi, gsrc1_roi);
EXPECT_MAT_NEAR(src1, Mat(gsrc1_whole), 0.0);
EXPECT_MAT_NEAR(src1_roi, Mat(gsrc1_roi), 0.0);
}
}
@@ -687,7 +607,7 @@ TEST_P(Flip, X)
random_roi();
cv::flip(src1_roi, dst1_roi, 0);
cv::ocl::flip(gsrc1, gdst1, 0);
cv::ocl::flip(gsrc1_roi, gdst1_roi, 0);
Near(1e-5);
}
}
@@ -699,7 +619,7 @@ TEST_P(Flip, Y)
random_roi();
cv::flip(src1_roi, dst1_roi, 1);
cv::ocl::flip(gsrc1, gdst1, 1);
cv::ocl::flip(gsrc1_roi, gdst1_roi, 1);
Near(1e-5);
}
}
@@ -711,7 +631,7 @@ TEST_P(Flip, BOTH)
random_roi();
cv::flip(src1_roi, dst1_roi, -1);
cv::ocl::flip(gsrc1, gdst1, -1);
cv::ocl::flip(gsrc1_roi, gdst1_roi, -1);
Near(1e-5);
}
}
@@ -739,12 +659,12 @@ TEST_P(MinMax, MAT)
{
signed char val = src1_roi.at<signed char>(i, j);
if (val < minVal) minVal = val;
else if (val > maxVal) maxVal = val;
if (val > maxVal) maxVal = val;
}
}
double minVal_, maxVal_;
cv::ocl::minMax(gsrc1, &minVal_, &maxVal_);
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_);
EXPECT_DOUBLE_EQ(minVal_, minVal);
EXPECT_DOUBLE_EQ(maxVal_, maxVal);
@@ -777,7 +697,7 @@ TEST_P(MinMax, MASK)
}
double minVal_, maxVal_;
cv::ocl::minMax(gsrc1, &minVal_, &maxVal_, gmask);
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_, gmask_roi);
EXPECT_DOUBLE_EQ(minVal, minVal_);
EXPECT_DOUBLE_EQ(maxVal, maxVal_);
@@ -825,7 +745,7 @@ TEST_P(MinMaxLoc, MAT)
double minVal_, maxVal_;
cv::Point minLoc_, maxLoc_;
cv::ocl::minMaxLoc(gsrc1, &minVal_, &maxVal_, &minLoc_, &maxLoc_, cv::ocl::oclMat());
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, cv::ocl::oclMat());
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.;
if (depth == 0)
@@ -938,7 +858,7 @@ TEST_P(MinMaxLoc, MASK)
double minVal_, maxVal_;
cv::Point minLoc_, maxLoc_;
cv::ocl::minMaxLoc(gsrc1, &minVal_, &maxVal_, &minLoc_, &maxLoc_, gmask);
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, gmask_roi);
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.;
if (minLoc_.x == -1 || minLoc_.y == -1 || maxLoc_.x == -1 || maxLoc_.y == -1) continue;
@@ -1027,7 +947,7 @@ TEST_P(Sum, MAT)
random_roi();
Scalar cpures = cv::sum(src1_roi);
Scalar gpures = cv::ocl::sum(gsrc1);
Scalar gpures = cv::ocl::sum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 0.1);
@@ -1085,7 +1005,7 @@ TEST_P(SqrSum, MAT)
CV_Assert(func != 0);
Scalar cpures = func(src1_roi);
Scalar gpures = cv::ocl::sqrSum(gsrc1);
Scalar gpures = cv::ocl::sqrSum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 1.0);
@@ -1141,7 +1061,7 @@ TEST_P(AbsSum, MAT)
CV_Assert(func != 0);
Scalar cpures = func(src1_roi);
Scalar gpures = cv::ocl::absSum(gsrc1);
Scalar gpures = cv::ocl::absSum(gsrc1_roi);
// check results
EXPECT_NEAR(cpures[0], gpures[0], 0.1);
@@ -1161,7 +1081,7 @@ TEST_P(CountNonZero, MAT)
{
random_roi();
int cpures = cv::countNonZero(src1_roi);
int gpures = cv::ocl::countNonZero(gsrc1);
int gpures = cv::ocl::countNonZero(gsrc1_roi);
EXPECT_DOUBLE_EQ((double)cpures, (double)gpures);
}
@@ -1177,7 +1097,7 @@ TEST_P(Phase, angleInDegrees)
{
random_roi();
cv::phase(src1_roi, src2_roi, dst1_roi, true);
cv::ocl::phase(gsrc1, gsrc2, gdst1, true);
cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi, true);
Near(1e-2);
}
@@ -1189,7 +1109,7 @@ TEST_P(Phase, angleInRadians)
{
random_roi();
cv::phase(src1_roi, src2_roi, dst1_roi);
cv::ocl::phase(gsrc1, gsrc2, gdst1);
cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(1e-2);
}
@@ -1206,7 +1126,7 @@ TEST_P(Bitwise_and, Mat)
random_roi();
cv::bitwise_and(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_and(gsrc1, gsrc2, gdst1);
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -1218,7 +1138,7 @@ TEST_P(Bitwise_and, Mat_Mask)
random_roi();
cv::bitwise_and(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_and(gsrc1, gsrc2, gdst1, gmask);
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
@@ -1230,7 +1150,7 @@ TEST_P(Bitwise_and, Scalar)
random_roi();
cv::bitwise_and(src1_roi, val, dst1_roi);
cv::ocl::bitwise_and(gsrc1, val, gdst1);
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
@@ -1242,7 +1162,7 @@ TEST_P(Bitwise_and, Scalar_Mask)
random_roi();
cv::bitwise_and(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_and(gsrc1, val, gdst1, gmask);
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
@@ -1258,7 +1178,7 @@ TEST_P(Bitwise_or, Mat)
random_roi();
cv::bitwise_or(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_or(gsrc1, gsrc2, gdst1);
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -1270,7 +1190,7 @@ TEST_P(Bitwise_or, Mat_Mask)
random_roi();
cv::bitwise_or(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_or(gsrc1, gsrc2, gdst1, gmask);
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
@@ -1282,7 +1202,7 @@ TEST_P(Bitwise_or, Scalar)
random_roi();
cv::bitwise_or(src1_roi, val, dst1_roi);
cv::ocl::bitwise_or(gsrc1, val, gdst1);
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
@@ -1294,7 +1214,7 @@ TEST_P(Bitwise_or, Scalar_Mask)
random_roi();
cv::bitwise_or(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_or(gsrc1, val, gdst1, gmask);
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
@@ -1310,7 +1230,7 @@ TEST_P(Bitwise_xor, Mat)
random_roi();
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi);
cv::ocl::bitwise_xor(gsrc1, gsrc2, gdst1);
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi);
Near(0);
}
}
@@ -1322,7 +1242,7 @@ TEST_P(Bitwise_xor, Mat_Mask)
random_roi();
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi, mask_roi);
cv::ocl::bitwise_xor(gsrc1, gsrc2, gdst1, gmask);
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi);
Near(0);
}
}
@@ -1334,7 +1254,7 @@ TEST_P(Bitwise_xor, Scalar)
random_roi();
cv::bitwise_xor(src1_roi, val, dst1_roi);
cv::ocl::bitwise_xor(gsrc1, val, gdst1);
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi);
Near(1e-5);
}
}
@@ -1346,7 +1266,7 @@ TEST_P(Bitwise_xor, Scalar_Mask)
random_roi();
cv::bitwise_xor(src1_roi, val, dst1_roi, mask_roi);
cv::ocl::bitwise_xor(gsrc1, val, gdst1, gmask);
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi, gmask_roi);
Near(1e-5);
}
}
@@ -1362,7 +1282,7 @@ TEST_P(Bitwise_not, Mat)
random_roi();
cv::bitwise_not(src1_roi, dst1_roi);
cv::ocl::bitwise_not(gsrc1, gdst1);
cv::ocl::bitwise_not(gsrc1_roi, gdst1_roi);
Near(0);
}
}
@@ -1382,7 +1302,7 @@ TEST_P(Compare, Mat)
random_roi();
cv::compare(src1_roi, src2_roi, dst1_roi, cmp_codes[i]);
cv::ocl::compare(gsrc1, gsrc2, gdst1, cmp_codes[i]);
cv::ocl::compare(gsrc1_roi, gsrc2_roi, gdst1_roi, cmp_codes[i]);
Near(0);
}
@@ -1399,7 +1319,7 @@ TEST_P(Pow, Mat)
random_roi();
double p = 4.5;
cv::pow(src1_roi, p, dst1_roi);
cv::ocl::pow(gsrc1, p, gdst1);
cv::ocl::pow(gsrc1_roi, p, gdst1_roi);
Near(1);
}
}
@@ -1417,7 +1337,7 @@ TEST_P(AddWeighted, Mat)
const double alpha = 2.0, beta = 1.0, gama = 3.0;
cv::addWeighted(src1_roi, alpha, src2_roi, beta, gama, dst1_roi);
cv::ocl::addWeighted(gsrc1, alpha, gsrc2, beta, gama, gdst1);
cv::ocl::addWeighted(gsrc1_roi, alpha, gsrc2_roi, beta, gama, gdst1_roi);
Near(1e-5);
}
@@ -1434,7 +1354,7 @@ TEST_P(SetIdentity, Mat)
random_roi();
cv::setIdentity(dst1_roi, val);
cv::ocl::setIdentity(gdst1, val);
cv::ocl::setIdentity(gdst1_roi, val);
Near(0);
}
@@ -1454,7 +1374,7 @@ TEST_P(MeanStdDev, Mat)
Scalar gpu_mean, gpu_stddev;
cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev);
cv::ocl::meanStdDev(gsrc1, gpu_mean, gpu_stddev);
cv::ocl::meanStdDev(gsrc1_roi, gpu_mean, gpu_stddev);
for (int i = 0; i < 4; ++i)
{
@@ -1480,7 +1400,7 @@ TEST_P(Norm, NORM_INF)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1, gsrc2, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}
@@ -1498,7 +1418,7 @@ TEST_P(Norm, NORM_L1)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1, gsrc2, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}
@@ -1516,7 +1436,7 @@ TEST_P(Norm, NORM_L2)
type |= NORM_RELATIVE;
const double cpuRes = cv::norm(src1_roi, src2_roi, type);
const double gpuRes = cv::ocl::norm(gsrc1, gsrc2, type);
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type);
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
}