solve(A, b, sol, DECOMP_SVD);
if (rmse)
- *rmse = norm(A*sol, b, NORM_L2) / sqrt(static_cast<float>(npoints));
+ *rmse = static_cast<float>(norm(A*sol, b, NORM_L2) / sqrt(static_cast<double>(npoints)));
Mat_<float> M = Mat::eye(3, 3, CV_32F);
M(0,0) = M(1,1) = sol(0,0);
solve(A, b, sol, DECOMP_SVD);
if (rmse)
- *rmse = norm(A*sol, b, NORM_L2) / sqrt(static_cast<float>(npoints));
+ *rmse = static_cast<float>(norm(A*sol, b, NORM_L2) / sqrt(static_cast<double>(npoints)));
Mat_<float> M = Mat::eye(3, 3, CV_32F);
for (int i = 0, k = 0; i < 2; ++i)
Mat estimateGlobalMotionRobust(
- const vector<Point2f> &points0, const vector<Point2f> &points1, int model, const RansacParams ¶ms,
- float *rmse, int *ninliers)
+ const vector<Point2f> &points0, const vector<Point2f> &points1, int model,
+ const RansacParams ¶ms, float *rmse, int *ninliers)
{
CV_Assert(points0.size() == points1.size());
estimateGlobMotionLeastSquaresAffine };
const int npoints = static_cast<int>(points0.size());
- const int niters = static_cast<int>(ceil(log(1 - params.prob) / log(1 - pow(1 - params.eps, params.size))));
+ const int niters = static_cast<int>(ceil(log(1 - params.prob) /
+ log(1 - pow(1 - params.eps, params.size))));
RNG rng(0);
vector<int> indices(params.size);
}
-PyrLkRobustMotionEstimator::PyrLkRobustMotionEstimator() : ransacParams_(RansacParams::affine2dMotionStd())
+PyrLkRobustMotionEstimator::PyrLkRobustMotionEstimator()
+ : ransacParams_(RansacParams::affine2dMotionStd())
{
setDetector(new GoodFeaturesToTrackDetector());
setOptFlowEstimator(new SparsePyrLkOptFlowEstimator());