Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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//M*/
#include "test_precomp.hpp"
#ifdef HAVE_CUDA
namespace opencv_test { namespace {
//////////////////////////////////////////////////////
// MOG2
#ifdef HAVE_VIDEO_INPUT
namespace
{
IMPLEMENT_PARAM_CLASS(UseGray, bool)
IMPLEMENT_PARAM_CLASS(DetectShadow, bool)
}
PARAM_TEST_CASE(MOG2, cv::cuda::DeviceInfo, std::string, UseGray, DetectShadow, UseRoi)
{
cv::cuda::DeviceInfo devInfo;
std::string inputFile;
bool useGray;
bool detectShadow;
bool useRoi;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
cv::cuda::setDevice(devInfo.deviceID());
inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);
useGray = GET_PARAM(2);
detectShadow = GET_PARAM(3);
useRoi = GET_PARAM(4);
}
};
CUDA_TEST_P(MOG2, Update)
{
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cap >> frame;
ASSERT_FALSE(frame.empty());
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = cv::cuda::createBackgroundSubtractorMOG2();
mog2->setDetectShadows(detectShadow);
cv::cuda::GpuMat foreground = createMat(frame.size(), CV_8UC1, useRoi);
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = cv::createBackgroundSubtractorMOG2();
mog2_gold->setDetectShadows(detectShadow);
cv::Mat foreground_gold;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
if (useGray)
{
cv::Mat temp;
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
cv::swap(temp, frame);
}
mog2->apply(loadMat(frame, useRoi), foreground);
mog2_gold->apply(frame, foreground_gold);
ASSERT_MAT_SIMILAR(foreground_gold, foreground, detectShadow ? 13e-3 : 18e-8);
}
}
CUDA_TEST_P(MOG2, getBackgroundImage)
{
if (useGray)
return;
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
cv::Mat frame;
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = cv::cuda::createBackgroundSubtractorMOG2();
mog2->setDetectShadows(detectShadow);
cv::cuda::GpuMat foreground;
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = cv::createBackgroundSubtractorMOG2();
mog2_gold->setDetectShadows(detectShadow);
cv::Mat foreground_gold;
for (int i = 0; i < 10; ++i)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
mog2->apply(loadMat(frame, useRoi), foreground);
mog2_gold->apply(frame, foreground_gold);
}
cv::cuda::GpuMat background = createMat(frame.size(), frame.type(), useRoi);
mog2->getBackgroundImage(background);
cv::Mat background_gold;
mog2_gold->getBackgroundImage(background_gold);
ASSERT_MAT_NEAR(background_gold, background, 1);
}
INSTANTIATE_TEST_CASE_P(CUDA_BgSegm, MOG2, testing::Combine(
ALL_DEVICES,
testing::Values(std::string("768x576.avi")),
testing::Values(UseGray(true), UseGray(false)),
testing::Values(DetectShadow(true), DetectShadow(false)),
WHOLE_SUBMAT));
#endif
}} // namespace
#endif // HAVE_CUDA