opencv/modules/highgui/test/test_video_pos.cpp

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2012-03-23 16:53:56 +08:00
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// License Agreement
// For Open Source Computer Vision Library
//
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#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_FFMPEG
#include "ffmpeg_codecs.hpp"
using namespace cv;
using namespace std;
class CV_PositioningTest : public cvtest::BaseTest
{
public:
void CreateTestVideo(const string& format, int codec);
void run(int);
};
void CV_PositioningTest::CreateTestVideo(const string& format, int codec)
{
const size_t frame_count = 2500;
stringstream s; s << codec;
cv::VideoWriter writer(ts->get_data_path()+"video/test_video_"+s.str()+format, codec, 25, cv::Size(640, 480), false);
for (size_t i = 0; i < frame_count; ++i)
{
cv::Mat mat(480, 640, CV_8UC1);
size_t n = 32, tmp = i;
vector<char> tmp_code; tmp_code.clear();
while ( tmp > 1 )
{
tmp_code.push_back(tmp%2);
tmp /= 2;
}
tmp_code.push_back(1);
vector<char> i_code(n);
for (size_t j = 0; j < n; ++j)
{
char val = j < n - tmp_code.size() ? 0 : tmp_code.at(j+tmp_code.size()-n);
i_code.push_back(val);
}
const size_t w = 480/n;
for (size_t j = 0; j < n; ++j)
{
for (size_t k = w*j; k < w*(j+1); ++k)
mat.row(k) = i_code[j] ? 255*cv::Mat::ones(1, 640, CV_8UC1) : cv::Mat::zeros(1, 640, CV_8UC1);
}
writer << mat;
//imshow("test image", mat); waitKey();
}
writer.~VideoWriter();
}
void CV_PositioningTest::run(int)
{
const size_t n_codec = sizeof(codec_bmp_tags)/sizeof(codec_bmp_tags[0]);
const string format[] = {"avi", "mov", "mp4", "mpg", "wmv"};
const size_t n_format = sizeof(format)/sizeof(format[0]);
for (size_t i = 0; i < n_format; ++i)
for (size_t j = 0; j < n_codec; ++j)
{
CreateTestVideo(format[i], codec_bmp_tags[j].tag);
stringstream s; s << codec_bmp_tags[j].tag;
cv::VideoCapture cap(ts->get_data_path()+"video/test_video_"+s.str()+format[i]);
cap.set(CV_CAP_PROP_POS_FRAMES, 0.0);
int N = cap.get(CV_CAP_PROP_FRAME_COUNT);
vector <int> idx;
RNG rng(N);
idx.clear();
for( int i = 0; i < N-1; i++ )
idx.push_back(rng.uniform(0, N));
idx.push_back(N-1);
swap(idx.at(rng.uniform(0, N-1)), idx.at(N-1));
for (int i = 0; i < N; ++i)
{
cap.set(CV_CAP_PROP_POS_FRAMES, (double)idx[i]);
cv::Mat img; cap.retrieve(img);
const double thresh = 128.0;
const size_t n = 32, w = img.rows/n;
int index = 0, deg = n-1;
for (size_t j = 0; j < n; ++j)
{
cv::Mat mat = img.rowRange(w*j, w*(j+1)-1);
Scalar mat_mean = cv::mean(mat);
if (mat_mean[0] > thresh)
{
index += (2<<deg);
}
deg--;
}
if (index != idx[i])
{
ts->printf(ts->LOG, "Required position: %d Returned position: %d\n FAILED", idx[i], index);
}
}
}
}
TEST(Highgui_Positioning, regression) { CV_PositioningTest test; test.safe_run(); }
#endif