Open Source Computer Vision Library https://opencv.org/
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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
#ifdef HAVE_VIDEO_INPUT
namespace cvtest {
namespace ocl {
//////////////////////////Mog2_Update///////////////////////////////////
namespace
{
IMPLEMENT_PARAM_CLASS(UseGray, bool)
IMPLEMENT_PARAM_CLASS(DetectShadow, bool)
IMPLEMENT_PARAM_CLASS(UseFloat, bool)
}
PARAM_TEST_CASE(Mog2_Update, UseGray, DetectShadow,UseFloat)
{
bool useGray;
bool detectShadow;
bool useFloat;
virtual void SetUp()
{
useGray = GET_PARAM(0);
detectShadow = GET_PARAM(1);
useFloat = GET_PARAM(2);
}
};
OCL_TEST_P(Mog2_Update, Accuracy)
{
string inputFile = string(TS::ptr()->get_data_path()) + "video/768x576.avi";
VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
Ptr<BackgroundSubtractorMOG2> mog2_cpu = createBackgroundSubtractorMOG2();
Ptr<BackgroundSubtractorMOG2> mog2_ocl = createBackgroundSubtractorMOG2();
mog2_cpu->setDetectShadows(detectShadow);
mog2_ocl->setDetectShadows(detectShadow);
Mat frame, foreground;
UMat u_foreground;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
if (useGray)
{
Mat temp;
cvtColor(frame, temp, COLOR_BGR2GRAY);
swap(temp, frame);
}
if(useFloat)
{
Mat temp;
frame.convertTo(temp,CV_32F);
swap(temp,frame);
}
OCL_OFF(mog2_cpu->apply(frame, foreground));
OCL_ON (mog2_ocl->apply(frame, u_foreground));
if (detectShadow)
EXPECT_MAT_SIMILAR(foreground, u_foreground, 15e-3);
else
EXPECT_MAT_NEAR(foreground, u_foreground, 0);
}
}
//////////////////////////Mog2_getBackgroundImage///////////////////////////////////
PARAM_TEST_CASE(Mog2_getBackgroundImage, DetectShadow, UseFloat)
{
bool detectShadow;
bool useFloat;
virtual void SetUp()
{
detectShadow = GET_PARAM(0);
useFloat = GET_PARAM(1);
}
};
OCL_TEST_P(Mog2_getBackgroundImage, Accuracy)
{
string inputFile = string(TS::ptr()->get_data_path()) + "video/768x576.avi";
VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
Ptr<BackgroundSubtractorMOG2> mog2_cpu = createBackgroundSubtractorMOG2();
Ptr<BackgroundSubtractorMOG2> mog2_ocl = createBackgroundSubtractorMOG2();
mog2_cpu->setDetectShadows(detectShadow);
mog2_ocl->setDetectShadows(detectShadow);
Mat frame, foreground;
UMat u_foreground;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
if(useFloat)
{
Mat temp;
frame.convertTo(temp,CV_32F);
swap(temp,frame);
}
OCL_OFF(mog2_cpu->apply(frame, foreground));
OCL_ON (mog2_ocl->apply(frame, u_foreground));
}
Mat background;
OCL_OFF(mog2_cpu->getBackgroundImage(background));
UMat u_background;
OCL_ON (mog2_ocl->getBackgroundImage(u_background));
EXPECT_MAT_NEAR(background, u_background, 1.0);
}
///////////////////////////////////////////////////////////////////////////////////////////
OCL_INSTANTIATE_TEST_CASE_P(OCL_Video, Mog2_Update, Combine(
Values(UseGray(true),UseGray(false)),
Values(DetectShadow(true), DetectShadow(false)),
Values(UseFloat(false),UseFloat(true)))
);
OCL_INSTANTIATE_TEST_CASE_P(OCL_Video, Mog2_getBackgroundImage, Combine(
Values(DetectShadow(true), DetectShadow(false)),
Values(UseFloat(false),UseFloat(true)))
);
}}// namespace cvtest::ocl
#endif
#endif