Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_FFMPEG
using namespace cv;
using namespace std;
class CV_FFmpegWriteBigVideoTest : public cvtest::BaseTest
{
public:
void run(int)
{
const int img_r = 4096;
const int img_c = 4096;
Size frame_s = Size(img_c, img_r);
const double fps = 30;
const double time_sec = 2;
const int coeff = static_cast<int>(static_cast<double>(cv::min(img_c, img_r)) / (fps * time_sec));
Mat img(img_r, img_c, CV_8UC3, Scalar::all(0));
try
{
VideoWriter writer(string(ts->get_data_path()) + "video/output.avi", CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s);
if (writer.isOpened() == false) ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
for (int i = 0 ; i < static_cast<int>(fps * time_sec); i++ )
{
//circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar(255, 0, 0, 0), 2);
rectangle(img, Point2i(coeff * i, coeff * i), Point2i(coeff * (i + 1), coeff * (i + 1)),
Scalar::all(255 * (1.0 - static_cast<double>(i) / (fps * time_sec * 2) )), -1);
writer << img;
}
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
}
ts->set_failed_test_info(cvtest::TS::OK);
}
};
TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
#endif