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This commit is contained in:
OpenCV Buildbot
2012-10-17 11:12:04 +04:00
committed by Andrey Kamaev
parent 0442bca235
commit 81f826db2b
1511 changed files with 258678 additions and 258624 deletions
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40
modules/video/test/test_estimaterigid.cpp
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@@ -56,12 +56,12 @@ class CV_RigidTransform_Test : public cvtest::BaseTest
{
public:
CV_RigidTransform_Test();
~CV_RigidTransform_Test();
~CV_RigidTransform_Test();
protected:
void run(int);
void run(int);
bool testNPoints(int);
bool testImage();
bool testImage();
};
CV_RigidTransform_Test::CV_RigidTransform_Test()
@@ -76,39 +76,39 @@ struct WrapAff2D
Point2f operator()(const Point2f& p)
{
return Point2d( p.x * F[0] + p.y * F[1] + F[2],
p.x * F[3] + p.y * F[4] + F[5]);
p.x * F[3] + p.y * F[4] + F[5]);
}
};
bool CV_RigidTransform_Test::testNPoints(int from)
{
cv::RNG rng = ts->get_rng();
int progress = 0;
int k, ntests = 10000;
for( k = from; k < ntests; k++ )
{
ts->update_context( this, k, true );
progress = update_progress(progress, k, ntests, 0);
Mat aff(2, 3, CV_64F);
rng.fill(aff, CV_RAND_UNI, Scalar(-2), Scalar(2));
rng.fill(aff, CV_RAND_UNI, Scalar(-2), Scalar(2));
int n = (unsigned)rng % 100 + 10;
Mat fpts(1, n, CV_32FC2);
Mat tpts(1, n, CV_32FC2);
rng.fill(fpts, CV_RAND_UNI, Scalar(0,0), Scalar(10,10));
rng.fill(fpts, CV_RAND_UNI, Scalar(0,0), Scalar(10,10));
transform(fpts.ptr<Point2f>(), fpts.ptr<Point2f>() + n, tpts.ptr<Point2f>(), WrapAff2D(aff));
Mat noise(1, n, CV_32FC2);
rng.fill(noise, CV_RAND_NORMAL, Scalar::all(0), Scalar::all(0.001*(n<=7 ? 0 : n <= 30 ? 1 : 10)));
tpts += noise;
Mat aff_est = estimateRigidTransform(fpts, tpts, true);
double thres = 0.1*norm(aff);
double d = norm(aff_est, aff, NORM_L2);
if (d > thres)
@@ -118,7 +118,7 @@ bool CV_RigidTransform_Test::testNPoints(int from)
{
Mat A = fpts.reshape(1, 3);
Mat B = A - repeat(A.row(0), 3, 1), Bt = B.t();
B = Bt*B;
B = Bt*B;
dB = cv::determinant(B);
nB = norm(B);
if( fabs(dB) < 0.01*nB )
@@ -143,30 +143,30 @@ bool CV_RigidTransform_Test::testImage()
return false;
}
pyrDown(testImg, img);
Mat aff = cv::getRotationMatrix2D(Point(img.cols/2, img.rows/2), 1, 0.99);
aff.ptr<double>()[2]+=3;
aff.ptr<double>()[5]+=3;
Mat rotated;
warpAffine(img, rotated, aff, img.size());
Mat aff_est = estimateRigidTransform(img, rotated, true);
const double thres = 0.03;
if (norm(aff_est, aff, NORM_INF) > thres)
{
{
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts->printf( cvtest::TS::LOG, "Threshold = %f, norm of difference = %f", thres,
ts->printf( cvtest::TS::LOG, "Threshold = %f, norm of difference = %f", thres,
norm(aff_est, aff, NORM_INF) );
return false;
}
}
return true;
}
void CV_RigidTransform_Test::run( int start_from )
{
{
cvtest::DefaultRngAuto dra;
if (!testNPoints(start_from))