Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
#ifdef HAVE_GSTREAMER
namespace opencv_test
{
typedef tuple< string, Size, Size, int > Param;
typedef testing::TestWithParam< Param > Videoio_Gstreamer_Test;
TEST_P(Videoio_Gstreamer_Test, test_object_structure)
{
string format = get<0>(GetParam());
Size frame_size = get<1>(GetParam());
Size mat_size = get<2>(GetParam());
int convertToRGB = get<3>(GetParam());
int count_frames = 10;
std::ostringstream pipeline;
pipeline << "videotestsrc pattern=ball num-buffers=" << count_frames << " ! " << format;
pipeline << ", width=" << frame_size.width << ", height=" << frame_size.height << " ! appsink";
VideoCapture cap;
ASSERT_NO_THROW(cap.open(pipeline.str(), CAP_GSTREAMER));
ASSERT_TRUE(cap.isOpened());
Mat buffer, decode_frame, gray_frame, rgb_frame;
for (int i = 0; i < count_frames; ++i)
{
cap >> buffer;
decode_frame = (format == "jpegenc ! image/jpeg") ? imdecode(buffer, IMREAD_UNCHANGED) : buffer;
EXPECT_EQ(mat_size, decode_frame.size());
cvtColor(decode_frame, rgb_frame, convertToRGB);
cvtColor(rgb_frame, gray_frame, COLOR_RGB2GRAY);
vector<Vec3f> circles;
HoughCircles(gray_frame, circles, HOUGH_GRADIENT, 1, gray_frame.rows/16, 100, 30, 1, 30 );
if (circles.size() == 1)
{
EXPECT_NEAR(18.5, circles[0][2], 1.0);
}
else
{
ADD_FAILURE() << "Found " << circles.size() << " on frame " << i ;
}
}
{
Mat frame;
cap >> frame;
EXPECT_TRUE(frame.empty());
}
cap.release();
ASSERT_FALSE(cap.isOpened());
}
Param test_data[] = {
make_tuple("video/x-raw, format=BGR" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB),
make_tuple("video/x-raw, format=GRAY8", Size(640, 480), Size(640, 480), COLOR_GRAY2RGB),
make_tuple("video/x-raw, format=UYVY" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_UYVY),
make_tuple("video/x-raw, format=YUY2" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YUY2),
make_tuple("video/x-raw, format=YVYU" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YVYU),
make_tuple("video/x-raw, format=NV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV12),
make_tuple("video/x-raw, format=NV21" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV21),
make_tuple("video/x-raw, format=YV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_YV12),
make_tuple("video/x-raw, format=I420" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_I420),
make_tuple("video/x-bayer" , Size(640, 480), Size(640, 480), COLOR_BayerBG2RGB),
make_tuple("jpegenc ! image/jpeg" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB)
};
INSTANTIATE_TEST_CASE_P(videoio, Videoio_Gstreamer_Test, testing::ValuesIn(test_data));
} // namespace
#endif