#ifdef HAVE_OPENCL
-using namespace cvtest;
+using namespace cv;
using namespace testing;
using namespace std;
////////////////////////////////converto/////////////////////////////////////////////////
-PARAM_TEST_CASE(ConvertToTestBase, MatType, MatType, int, bool)
+PARAM_TEST_CASE(MatrixTestBase, MatDepth, MatDepth, int, bool)
{
- int src_depth, dst_depth;
- int cn, dst_type;
+ int src_depth, cn, dstType;
bool use_roi;
- // src mat
- cv::Mat mat;
- cv::Mat dst;
-
- // set up roi
- int roicols, roirows;
- int srcx, srcy;
- int dstx, dsty;
-
- // src mat with roi
- cv::Mat mat_roi;
- cv::Mat dst_roi;
-
- // ocl dst mat for testing
- cv::ocl::oclMat gdst_whole;
-
- // ocl mat with roi
- cv::ocl::oclMat gsrc;
- cv::ocl::oclMat gdst;
+ Mat src, dst, src_roi, dst_roi;
+ ocl::oclMat gdst, gsrc, gdst_roi, gsrc_roi;
virtual void SetUp()
{
src_depth = GET_PARAM(0);
- dst_depth = GET_PARAM(1);
cn = GET_PARAM(2);
- int src_type = CV_MAKE_TYPE(src_depth, cn);
- dst_type = CV_MAKE_TYPE(dst_depth, cn);
+ dstType = CV_MAKE_TYPE(GET_PARAM(1), cn);
use_roi = GET_PARAM(3);
-
- mat = randomMat(randomSize(MIN_VALUE, MAX_VALUE), src_type, 5, 136, false);
- dst = randomMat(use_roi ? randomSize(MIN_VALUE, MAX_VALUE) : mat.size(), dst_type, 5, 136, false);
}
- void random_roi()
+ virtual void random_roi()
{
- if (use_roi)
- {
- // randomize ROI
- roicols = rng.uniform(1, MIN_VALUE);
- roirows = rng.uniform(1, MIN_VALUE);
- srcx = rng.uniform(0, mat.cols - roicols);
- srcy = rng.uniform(0, mat.rows - roirows);
- dstx = rng.uniform(0, dst.cols - roicols);
- dsty = rng.uniform(0, dst.rows - roirows);
- }
- else
- {
- roicols = mat.cols;
- roirows = mat.rows;
- srcx = srcy = 0;
- dstx = dsty = 0;
- }
-
- mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
- dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
-
- gdst_whole = dst;
- gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
-
- gsrc = mat_roi;
+ Size roiSize = randomSize(1, MAX_VALUE);
+ Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(src_depth, cn), -MAX_VALUE, MAX_VALUE);
+
+ Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, dstType, 5, 16);
+
+ generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder);
+ generateOclMat(gdst, gdst_roi, dst, roiSize, dstBorder);
}
};
-typedef ConvertToTestBase ConvertTo;
+typedef MatrixTestBase ConvertTo;
OCL_TEST_P(ConvertTo, Accuracy)
{
- if((src_depth == CV_64F || dst_depth == CV_64F) &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
- mat_roi.convertTo(dst_roi, dst_type);
- gsrc.convertTo(gdst, dst_type);
+ src_roi.convertTo(dst_roi, dstType);
+ gsrc_roi.convertTo(gdst_roi, dstType);
- EXPECT_MAT_NEAR(dst, Mat(gdst_whole), src_depth == CV_64F ? 1.0 : 0.0);
- EXPECT_MAT_NEAR(dst_roi, Mat(gdst), src_depth == CV_64F ? 1.0 : 0.0);
+ EXPECT_MAT_NEAR(dst, Mat(gdst), src_depth == CV_64F ? 1.0 : 0.0);
+ EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), src_depth == CV_64F ? 1.0 : 0.0);
}
}
///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
-PARAM_TEST_CASE(CopyToTestBase, MatType, int, bool)
+struct CopyTo :
+ public MatrixTestBase
{
- bool use_roi;
-
- cv::Mat src, mask, dst;
-
- // set up roi
- int roicols,roirows;
- int srcx, srcy;
- int dstx, dsty;
- int maskx,masky;
-
- // src mat with roi
- cv::Mat src_roi;
- cv::Mat mask_roi;
- cv::Mat dst_roi;
-
- // ocl dst mat for testing
- cv::ocl::oclMat gdst_whole;
+ Mat mask, mask_roi;
+ ocl::oclMat gmask, gmask_roi;
- // ocl mat with roi
- cv::ocl::oclMat gsrc, gdst, gmask;
-
- virtual void SetUp()
+ virtual void random_roi()
{
- int type = CV_MAKETYPE(GET_PARAM(0), GET_PARAM(1));
- use_roi = GET_PARAM(2);
+ int type = CV_MAKE_TYPE(src_depth, cn);
+ Size roiSize = randomSize(1, MAX_VALUE);
+ Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
- src = randomMat(randomSize(MIN_VALUE, MAX_VALUE), type, 5, 16, false);
- dst = randomMat(use_roi ? randomSize(MIN_VALUE, MAX_VALUE) : src.size(), type, 5, 16, false);
- mask = randomMat(use_roi ? randomSize(MIN_VALUE, MAX_VALUE) : src.size(), CV_8UC1, 0, 2, false);
+ Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
- cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
- }
+ Border maskBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, 5, 16);
- void random_roi()
- {
- if (use_roi)
- {
- // randomize ROI
- roicols = rng.uniform(1, MIN_VALUE);
- roirows = rng.uniform(1, MIN_VALUE);
- srcx = rng.uniform(0, src.cols - roicols);
- srcy = rng.uniform(0, src.rows - roirows);
- dstx = rng.uniform(0, dst.cols - roicols);
- dsty = rng.uniform(0, dst.rows - roirows);
- maskx = rng.uniform(0, mask.cols - roicols);
- masky = rng.uniform(0, mask.rows - roirows);
- }
- else
- {
- roicols = src.cols;
- roirows = src.rows;
- srcx = srcy = 0;
- dstx = dsty = 0;
- maskx = masky = 0;
- }
-
- src_roi = src(Rect(srcx, srcy, roicols, roirows));
- mask_roi = mask(Rect(maskx, masky, roicols, roirows));
- dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
-
- gdst_whole = dst;
- gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
-
- gsrc = src_roi;
- gmask = mask_roi;
+ generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder);
+ generateOclMat(gdst, gdst_roi, dst, roiSize, dstBorder);
+ generateOclMat(gmask, gmask_roi, mask, roiSize, maskBorder);
}
};
-typedef CopyToTestBase CopyTo;
-
OCL_TEST_P(CopyTo, Without_mask)
{
- if((src.depth() == CV_64F) &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
src_roi.copyTo(dst_roi);
- gsrc.copyTo(gdst);
+ gsrc_roi.copyTo(gdst_roi);
- EXPECT_MAT_NEAR(dst, Mat(gdst_whole), 0.0);
+ EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0);
+ EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0);
}
}
OCL_TEST_P(CopyTo, With_mask)
{
- if(src.depth() == CV_64F &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
src_roi.copyTo(dst_roi, mask_roi);
- gsrc.copyTo(gdst, gmask);
+ gsrc_roi.copyTo(gdst_roi, gmask_roi);
- EXPECT_MAT_NEAR(dst, Mat(gdst_whole), 0.0);
+ EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0);
+ EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0);
}
}
/////////////////////////////////////////// setTo /////////////////////////////////////////////////////////////
-PARAM_TEST_CASE(SetToTestBase, MatType, int, bool)
-{
- int depth, channels;
- bool use_roi;
-
- cv::Scalar val;
-
- cv::Mat src;
- cv::Mat mask;
-
- // set up roi
- int roicols, roirows;
- int srcx, srcy;
- int maskx, masky;
-
- // src mat with roi
- cv::Mat src_roi;
- cv::Mat mask_roi;
-
- // ocl dst mat for testing
- cv::ocl::oclMat gsrc_whole;
-
- // ocl mat with roi
- cv::ocl::oclMat gsrc;
- cv::ocl::oclMat gmask;
-
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- channels = GET_PARAM(1);
- use_roi = GET_PARAM(2);
-
- int type = CV_MAKE_TYPE(depth, channels);
-
- src = randomMat(randomSize(MIN_VALUE, MAX_VALUE), type, 5, 16, false);
- mask = randomMat(use_roi ? randomSize(MIN_VALUE, MAX_VALUE) : src.size(), CV_8UC1, 0, 2, false);
-
- cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
- val = cv::Scalar(rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0),
- rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0));
- }
-
- void random_roi()
- {
- if (use_roi)
- {
- // randomize ROI
- roicols = rng.uniform(1, MIN_VALUE);
- roirows = rng.uniform(1, MIN_VALUE);
- srcx = rng.uniform(0, src.cols - roicols);
- srcy = rng.uniform(0, src.rows - roirows);
- maskx = rng.uniform(0, mask.cols - roicols);
- masky = rng.uniform(0, mask.rows - roirows);
- }
- else
- {
- roicols = src.cols;
- roirows = src.rows;
- srcx = srcy = 0;
- maskx = masky = 0;
- }
-
- src_roi = src(Rect(srcx, srcy, roicols, roirows));
- mask_roi = mask(Rect(maskx, masky, roicols, roirows));
-
- gsrc_whole = src;
- gsrc = gsrc_whole(Rect(srcx, srcy, roicols, roirows));
-
- gmask = mask_roi;
- }
-};
-
-typedef SetToTestBase SetTo;
+typedef CopyTo SetTo;
OCL_TEST_P(SetTo, Without_mask)
{
- if(depth == CV_64F &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
+ Scalar scalar = randomScalar(-MAX_VALUE, MAX_VALUE);
- src_roi.setTo(val);
- gsrc.setTo(val);
+ src_roi.setTo(scalar);
+ gsrc_roi.setTo(scalar);
- EXPECT_MAT_NEAR(src, Mat(gsrc_whole), 1.);
+ EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0);
+ EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0);;
}
}
OCL_TEST_P(SetTo, With_mask)
{
- if(depth == CV_64F &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
+ Scalar scalar = randomScalar(-MAX_VALUE, MAX_VALUE);
- src_roi.setTo(val, mask_roi);
- gsrc.setTo(val, gmask);
+ src_roi.setTo(scalar, mask_roi);
+ gsrc_roi.setTo(scalar, gmask_roi);
- EXPECT_MAT_NEAR(src, Mat(gsrc_whole), 1.);
+ EXPECT_MAT_NEAR(src, Mat(gsrc), 1.);
+ EXPECT_MAT_NEAR(src_roi, Mat(gsrc_roi), 1.);
}
}
// convertC3C4
-PARAM_TEST_CASE(convertC3C4, MatType, bool)
+PARAM_TEST_CASE(convertC3C4, MatDepth, bool)
{
int depth;
bool use_roi;
- //src mat
- cv::Mat src;
-
- // set up roi
- int roicols, roirows;
- int srcx, srcy;
-
- //src mat with roi
- cv::Mat src_roi;
-
- //ocl mat with roi
- cv::ocl::oclMat gsrc_roi;
+ Mat src, src_roi;
+ ocl::oclMat gsrc, gsrc_roi;
virtual void SetUp()
{
depth = GET_PARAM(0);
use_roi = GET_PARAM(1);
- int type = CV_MAKE_TYPE(depth, 3);
-
- src = randomMat(randomSize(1, MAX_VALUE), type, 0, 40, false);
}
void random_roi()
{
- if (use_roi)
- {
- //randomize ROI
- roicols = rng.uniform(1, src.cols);
- roirows = rng.uniform(1, src.rows);
- srcx = rng.uniform(0, src.cols - roicols);
- srcy = rng.uniform(0, src.rows - roirows);
- }
- else
- {
- roicols = src.cols;
- roirows = src.rows;
- srcx = srcy = 0;
- }
-
- src_roi = src(Rect(srcx, srcy, roicols, roirows));
+ int type = CV_MAKE_TYPE(depth, 3);
+ Size roiSize = randomSize(1, MAX_VALUE);
+ Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
+ generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder);
}
};
OCL_TEST_P(convertC3C4, Accuracy)
{
- if(depth == CV_64F &&
- !cv::ocl::Context::getContext()->supportsFeature(cv::ocl::FEATURE_CL_DOUBLE))
- {
- return; // returns silently
- }
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
gsrc_roi = src_roi;
EXPECT_MAT_NEAR(src_roi, Mat(gsrc_roi), 0.0);
+ EXPECT_MAT_NEAR(src, Mat(gsrc), 0.0);
}
}
INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
- Range(1, 5), Bool()));
+ testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(MatrixOperation, CopyTo, Combine(
Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
+ Values(MatDepth(0)), // not used
testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(MatrixOperation, SetTo, Combine(
Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
+ Values((MatDepth)0), // not used
testing::Range(1, 5), Bool()));
INSTANTIATE_TEST_CASE_P(MatrixOperation, convertC3C4, Combine(
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