opencv/modules/video/perf/opencl/perf_bgfg_mog2.cpp
Maksim Shabunin 87b569d812 Rewritten some tests in videoio and imgcodecs modules
general:
- all iterative tests have been replaced with parameterized tests
- old-style try..catch tests have been modified to use EXPECT_/ASSERT_ gtest macros
- added temporary files cleanup
- modified MatComparator error message formatting

imgcodecs:
- test_grfmt.cpp split to test_jpg.cpp, test_png.cpp, test_tiff.cpp, etc.

videoio:
- added public HAVE_VIDEO_INPUT, HAVE_VIDEO_OUTPUT definitions to cvconfig.h
- built-in MotionJPEG codec could not be tested on some platforms (read_write test was disabled if ffmpeg is off, encoding/decoding was handled by ffmpeg otherwise).
- image-related tests moved to imgcodecs (Videoio_Image)
- several property get/set tests have been combined into one
- added MotionJPEG test video to opencv_extra
2017-06-20 18:20:41 +03:00

108 lines
2.7 KiB
C++

#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
#ifdef HAVE_VIDEO_INPUT
namespace cvtest {
namespace ocl {
//////////////////////////// Mog2//////////////////////////
typedef tuple<string, int> VideoMOG2ParamType;
typedef TestBaseWithParam<VideoMOG2ParamType> MOG2_Apply;
typedef TestBaseWithParam<VideoMOG2ParamType> MOG2_GetBackgroundImage;
static void cvtFrameFmt(vector<Mat>& input, vector<Mat>& output)
{
for(int i = 0; i< (int)(input.size()); i++)
{
cvtColor(input[i], output[i], COLOR_RGB2GRAY);
}
}
static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer)
{
cv::Mat frame;
std::vector<Mat> frame_buffer_init;
int nFrame = (int)frame_buffer.size();
for(int i = 0; i < nFrame; i++)
{
cap >> frame;
ASSERT_FALSE(frame.empty());
frame_buffer_init.push_back(frame);
}
if(cn == 1)
cvtFrameFmt(frame_buffer_init, frame_buffer);
else
frame_buffer = frame_buffer_init;
}
OCL_PERF_TEST_P(MOG2_Apply, Mog2, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), Values(1,3)))
{
VideoMOG2ParamType params = GetParam();
const string inputFile = getDataPath(get<0>(params));
const int cn = get<1>(params);
int nFrame = 5;
vector<Mat> frame_buffer(nFrame);
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
prepareData(cap, cn, frame_buffer);
UMat u_foreground;
OCL_TEST_CYCLE()
{
Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
mog2->setDetectShadows(false);
u_foreground.release();
for (int i = 0; i < nFrame; i++)
{
mog2->apply(frame_buffer[i], u_foreground);
}
}
SANITY_CHECK(u_foreground);
}
OCL_PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), Values(3)))
{
VideoMOG2ParamType params = GetParam();
const string inputFile = getDataPath(get<0>(params));
const int cn = get<1>(params);
int nFrame = 5;
vector<Mat> frame_buffer(nFrame);
cv::VideoCapture cap(inputFile);
ASSERT_TRUE(cap.isOpened());
prepareData(cap, cn, frame_buffer);
UMat u_foreground, u_background;
OCL_TEST_CYCLE()
{
Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
mog2->setDetectShadows(false);
u_foreground.release();
u_background.release();
for (int i = 0; i < nFrame; i++)
{
mog2->apply(frame_buffer[i], u_foreground);
}
mog2->getBackgroundImage(u_background);
}
SANITY_CHECK(u_background);
}
}}// namespace cvtest::ocl
#endif
#endif