Commit 02d34bda authored by Alexey Spizhevoy's avatar Alexey Spizhevoy

Refactored videostab module

parent 79e20706
......@@ -57,8 +57,6 @@
#include "opencv2/gpu/gpu.hpp"
#endif
// TODO remove code duplications (in cpp too)
namespace cv
{
namespace videostab
......@@ -73,10 +71,65 @@ CV_EXPORTS Mat estimateGlobalMotionRobust(
const RansacParams &params = RansacParams::default2dMotion(MM_AFFINE),
float *rmse = 0, int *ninliers = 0);
class CV_EXPORTS GlobalMotionEstimatorBase
class CV_EXPORTS MotionEstimatorBase
{
public:
virtual ~GlobalMotionEstimatorBase() {}
virtual ~MotionEstimatorBase() {}
virtual void setMotionModel(MotionModel val) { motionModel_ = val; }
virtual MotionModel motionModel() const { return motionModel_; }
virtual Mat estimate(InputArray points0, InputArray points1, bool *ok = 0) = 0;
protected:
MotionEstimatorBase(MotionModel model) { setMotionModel(model); }
private:
MotionModel motionModel_;
};
class CV_EXPORTS MotionEstimatorRansacL2 : public MotionEstimatorBase
{
public:
MotionEstimatorRansacL2(MotionModel model = MM_AFFINE);
void setRansacParams(const RansacParams &val) { ransacParams_ = val; }
RansacParams ransacParams() const { return ransacParams_; }
void setMinInlierRatio(float val) { minInlierRatio_ = val; }
float minInlierRatio() const { return minInlierRatio_; }
virtual Mat estimate(InputArray points0, InputArray points1, bool *ok = 0);
private:
RansacParams ransacParams_;
float minInlierRatio_;
};
class CV_EXPORTS MotionEstimatorL1 : public MotionEstimatorBase
{
public:
MotionEstimatorL1(MotionModel model = MM_AFFINE);
virtual Mat estimate(InputArray points0, InputArray points1, bool *ok);
private:
std::vector<double> obj_, collb_, colub_;
std::vector<double> elems_, rowlb_, rowub_;
std::vector<int> rows_, cols_;
void set(int row, int col, double coef)
{
rows_.push_back(row);
cols_.push_back(col);
elems_.push_back(coef);
}
};
class CV_EXPORTS ImageMotionEstimatorBase
{
public:
virtual ~ImageMotionEstimatorBase() {}
virtual void setMotionModel(MotionModel val) { motionModel_ = val; }
virtual MotionModel motionModel() const { return motionModel_; }
......@@ -84,12 +137,13 @@ public:
virtual Mat estimate(const Mat &frame0, const Mat &frame1, bool *ok = 0) = 0;
protected:
GlobalMotionEstimatorBase(MotionModel model) { setMotionModel(model); }
ImageMotionEstimatorBase(MotionModel model) { setMotionModel(model); }
private:
MotionModel motionModel_;
};
class CV_EXPORTS FromFileMotionReader : public GlobalMotionEstimatorBase
class CV_EXPORTS FromFileMotionReader : public ImageMotionEstimatorBase
{
public:
FromFileMotionReader(const std::string &path);
......@@ -100,50 +154,45 @@ private:
std::ifstream file_;
};
class CV_EXPORTS ToFileMotionWriter : public GlobalMotionEstimatorBase
class CV_EXPORTS ToFileMotionWriter : public ImageMotionEstimatorBase
{
public:
ToFileMotionWriter(const std::string &path, Ptr<GlobalMotionEstimatorBase> estimator);
ToFileMotionWriter(const std::string &path, Ptr<ImageMotionEstimatorBase> estimator);
virtual void setMotionModel(MotionModel val) { motionEstimator_->setMotionModel(val); }
virtual MotionModel motionModel() const { return motionEstimator_->motionModel(); }
virtual Mat estimate(const Mat &frame0, const Mat &frame1, bool *ok = 0);
private:
std::ofstream file_;
Ptr<GlobalMotionEstimatorBase> estimator_;
Ptr<ImageMotionEstimatorBase> motionEstimator_;
};
class CV_EXPORTS RansacMotionEstimator : public GlobalMotionEstimatorBase
class CV_EXPORTS KeypointBasedMotionEstimator : public ImageMotionEstimatorBase
{
public:
RansacMotionEstimator(MotionModel model = MM_AFFINE);
KeypointBasedMotionEstimator(Ptr<MotionEstimatorBase> estimator);
virtual void setMotionModel(MotionModel val) { motionEstimator_->setMotionModel(val); }
virtual MotionModel motionModel() const { return motionEstimator_->motionModel(); }
void setDetector(Ptr<FeatureDetector> val) { detector_ = val; }
Ptr<FeatureDetector> detector() const { return detector_; }
void setOptFlowEstimator(Ptr<ISparseOptFlowEstimator> val) { optFlowEstimator_ = val; }
Ptr<ISparseOptFlowEstimator> optFlowEstimator() const { return optFlowEstimator_; }
void setGridSize(Size val) { gridSize_ = val; }
Size gridSize() const { return gridSize_; }
void setRansacParams(const RansacParams &val) { ransacParams_ = val; }
RansacParams ransacParams() const { return ransacParams_; }
void setOpticalFlowEstimator(Ptr<ISparseOptFlowEstimator> val) { optFlowEstimator_ = val; }
Ptr<ISparseOptFlowEstimator> opticalFlowEstimator() const { return optFlowEstimator_; }
void setOutlierRejector(Ptr<IOutlierRejector> val) { outlierRejector_ = val; }
Ptr<IOutlierRejector> outlierRejector() const { return outlierRejector_; }
void setMinInlierRatio(float val) { minInlierRatio_ = val; }
float minInlierRatio() const { return minInlierRatio_; }
virtual Mat estimate(const Mat &frame0, const Mat &frame1, bool *ok = 0);
private:
Ptr<MotionEstimatorBase> motionEstimator_;
Ptr<FeatureDetector> detector_;
Ptr<ISparseOptFlowEstimator> optFlowEstimator_;
Size gridSize_;
RansacParams ransacParams_;
Ptr<IOutlierRejector> outlierRejector_;
float minInlierRatio_;
std::vector<uchar> status_;
std::vector<KeyPoint> keypointsPrev_;
......@@ -152,29 +201,25 @@ private:
};
#if HAVE_OPENCV_GPU
class CV_EXPORTS RansacMotionEstimatorGpu : public GlobalMotionEstimatorBase
class CV_EXPORTS KeypointBasedMotionEstimatorGpu : public ImageMotionEstimatorBase
{
public:
RansacMotionEstimatorGpu(MotionModel model = MM_AFFINE);
KeypointBasedMotionEstimatorGpu(Ptr<MotionEstimatorBase> estimator);
void setRansacParams(const RansacParams &val) { ransacParams_ = val; }
RansacParams ransacParams() const { return ransacParams_; }
virtual void setMotionModel(MotionModel val) { motionEstimator_->setMotionModel(val); }
virtual MotionModel motionModel() const { return motionEstimator_->motionModel(); }
void setOutlierRejector(Ptr<IOutlierRejector> val) { outlierRejector_ = val; }
Ptr<IOutlierRejector> outlierRejector() const { return outlierRejector_; }
void setMinInlierRatio(float val) { minInlierRatio_ = val; }
float minInlierRatio() const { return minInlierRatio_; }
virtual Mat estimate(const Mat &frame0, const Mat &frame1, bool *ok = 0);
Mat estimate(const gpu::GpuMat &frame0, const gpu::GpuMat &frame1, bool *ok = 0);
private:
Ptr<MotionEstimatorBase> motionEstimator_;
gpu::GoodFeaturesToTrackDetector_GPU detector_;
SparsePyrLkOptFlowEstimatorGpu optFlowEstimator_;
RansacParams ransacParams_;
Ptr<IOutlierRejector> outlierRejector_;
float minInlierRatio_;
gpu::GpuMat frame0_, grayFrame0_, frame1_;
gpu::GpuMat pointsPrev_, points_;
......@@ -186,44 +231,6 @@ private:
};
#endif
class CV_EXPORTS LpBasedMotionEstimator : public GlobalMotionEstimatorBase
{
public:
LpBasedMotionEstimator(MotionModel model = MM_AFFINE);
void setDetector(Ptr<FeatureDetector> val) { detector_ = val; }
Ptr<FeatureDetector> detector() const { return detector_; }
void setOptFlowEstimator(Ptr<ISparseOptFlowEstimator> val) { optFlowEstimator_ = val; }
Ptr<ISparseOptFlowEstimator> optFlowEstimator() const { return optFlowEstimator_; }
void setOutlierRejector(Ptr<IOutlierRejector> val) { outlierRejector_ = val; }
Ptr<IOutlierRejector> outlierRejector() const { return outlierRejector_; }
virtual Mat estimate(const Mat &frame0, const Mat &frame1, bool *ok);
private:
Ptr<FeatureDetector> detector_;
Ptr<ISparseOptFlowEstimator> optFlowEstimator_;
Ptr<IOutlierRejector> outlierRejector_;
std::vector<uchar> status_;
std::vector<KeyPoint> keypointsPrev_;
std::vector<Point2f> pointsPrev_, points_;
std::vector<Point2f> pointsPrevGood_, pointsGood_;
std::vector<double> obj_, collb_, colub_;
std::vector<int> rows_, cols_;
std::vector<double> elems_, rowlb_, rowub_;
void set(int row, int col, double coef)
{
rows_.push_back(row);
cols_.push_back(col);
elems_.push_back(coef);
}
};
CV_EXPORTS Mat getMotion(int from, int to, const std::vector<Mat> &motions);
} // namespace videostab
......
......@@ -74,8 +74,8 @@ public:
void setFrameSource(Ptr<IFrameSource> val) { frameSource_ = val; }
Ptr<IFrameSource> frameSource() const { return frameSource_; }
void setMotionEstimator(Ptr<GlobalMotionEstimatorBase> val) { motionEstimator_ = val; }
Ptr<GlobalMotionEstimatorBase> motionEstimator() const { return motionEstimator_; }
void setMotionEstimator(Ptr<ImageMotionEstimatorBase> val) { motionEstimator_ = val; }
Ptr<ImageMotionEstimatorBase> motionEstimator() const { return motionEstimator_; }
void setDeblurer(Ptr<DeblurerBase> val) { deblurer_ = val; }
Ptr<DeblurerBase> deblurrer() const { return deblurer_; }
......@@ -107,7 +107,7 @@ protected:
Ptr<ILog> log_;
Ptr<IFrameSource> frameSource_;
Ptr<GlobalMotionEstimatorBase> motionEstimator_;
Ptr<ImageMotionEstimatorBase> motionEstimator_;
Ptr<DeblurerBase> deblurer_;
Ptr<InpainterBase> inpainter_;
int radius_;
......
......@@ -64,8 +64,8 @@ public:
virtual ~WobbleSuppressorBase() {}
void setMotionEstimator(Ptr<GlobalMotionEstimatorBase> val) { motionEstimator_ = val; }
Ptr<GlobalMotionEstimatorBase> motionEstimator() const { return motionEstimator_; }
void setMotionEstimator(Ptr<ImageMotionEstimatorBase> val) { motionEstimator_ = val; }
Ptr<ImageMotionEstimatorBase> motionEstimator() const { return motionEstimator_; }
virtual void suppress(int idx, const Mat &frame, Mat &result) = 0;
......@@ -85,7 +85,7 @@ public:
virtual const std::vector<Mat>& stabilizationMotions() const { return *stabilizationMotions_; }
protected:
Ptr<GlobalMotionEstimatorBase> motionEstimator_;
Ptr<ImageMotionEstimatorBase> motionEstimator_;
int frameCount_;
const std::vector<Mat> *motions_;
const std::vector<Mat> *motions2_;
......
This diff is collapsed.
......@@ -58,7 +58,7 @@ StabilizerBase::StabilizerBase()
{
setLog(new LogToStdout());
setFrameSource(new NullFrameSource());
setMotionEstimator(new RansacMotionEstimator());
setMotionEstimator(new KeypointBasedMotionEstimator(new MotionEstimatorRansacL2()));
setDeblurer(new NullDeblurer());
setInpainter(new NullInpainter());
setRadius(15);
......
......@@ -53,9 +53,7 @@ namespace videostab
WobbleSuppressorBase::WobbleSuppressorBase() : motions_(0), stabilizationMotions_(0)
{
RansacMotionEstimator *est = new RansacMotionEstimator();
est->setMotionModel(MM_HOMOGRAPHY);
est->setRansacParams(RansacParams::default2dMotion(MM_HOMOGRAPHY));
setMotionEstimator(new KeypointBasedMotionEstimator(new MotionEstimatorRansacL2(MM_HOMOGRAPHY)));
}
......
......@@ -85,8 +85,6 @@ void printHelp()
" Minimum inlier ratio to decide if estimated motion is OK. The default is 0.1.\n"
" --nkps=<int_number>\n"
" Number of keypoints to find in each frame. The default is 1000.\n"
" --extra-kps=<int_number>\n"
" Extra keypoint grid size for motion estimation. The default is 0.\n"
" --local-outlier-rejection=(yes|no)\n"
" Perform local outlier rejection. The default is no.\n\n"
" -sm, --save-motions=(<file_path>|no)\n"
......@@ -154,8 +152,6 @@ void printHelp()
" Minimum inlier ratio to decide if estimated motion is OK. The default is 0.1.\n"
" --ws-nkps=<int_number>\n"
" Number of keypoints to find in each frame. The default is 1000.\n"
" --ws-extra-kps=<int_number>\n"
" Extra keypoint grid size for motion estimation. The default is 0.\n"
" --ws-local-outlier-rejection=(yes|no)\n"
" Perform local outlier rejection. The default is no.\n\n"
" -sm2, --save-motions2=(<file_path>|no)\n"
......@@ -181,24 +177,22 @@ class IMotionEstimatorBuilder
{
public:
virtual ~IMotionEstimatorBuilder() {}
virtual Ptr<GlobalMotionEstimatorBase> build() = 0;
virtual Ptr<ImageMotionEstimatorBase> build() = 0;
protected:
IMotionEstimatorBuilder(CommandLineParser &cmd) : cmd(cmd) {}
CommandLineParser cmd;
};
class RansacMotionEstimatorBuilder : public IMotionEstimatorBuilder
class MotionEstimatorRansacL2Builder : public IMotionEstimatorBuilder
{
public:
RansacMotionEstimatorBuilder(CommandLineParser &cmd, const string &prefix = "")
: IMotionEstimatorBuilder(cmd), prefix(prefix) {}
MotionEstimatorRansacL2Builder(CommandLineParser &cmd, bool gpu, const string &prefix = "")
: IMotionEstimatorBuilder(cmd), gpu(gpu), prefix(prefix) {}
virtual Ptr<GlobalMotionEstimatorBase> build()
virtual Ptr<ImageMotionEstimatorBase> build()
{
RansacMotionEstimator *est = new RansacMotionEstimator(motionModel(arg(prefix + "model")));
est->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
MotionEstimatorRansacL2 *est = new MotionEstimatorRansacL2(motionModel(arg(prefix + "model")));
RansacParams ransac = est->ransacParams();
if (arg(prefix + "subset") != "auto")
......@@ -208,97 +202,76 @@ public:
ransac.eps = argf(prefix + "outlier-ratio");
est->setRansacParams(ransac);
est->setGridSize(Size(argi(prefix + "extra-kps"), argi(prefix + "extra-kps")));
est->setMinInlierRatio(argf(prefix + "min-inlier-ratio"));
Ptr<IOutlierRejector> outlierRejector = new NullOutlierRejector();
if (arg(prefix + "local-outlier-rejection") == "yes")
{
TranslationBasedLocalOutlierRejector *tor = new TranslationBasedLocalOutlierRejector();
RansacParams ransacParams = tor->ransacParams();
TranslationBasedLocalOutlierRejector *tblor = new TranslationBasedLocalOutlierRejector();
RansacParams ransacParams = tblor->ransacParams();
if (arg(prefix + "thresh") != "auto")
ransacParams.thresh = argf(prefix + "thresh");
tor->setRansacParams(ransacParams);
outlierRejector = tor;
tblor->setRansacParams(ransacParams);
outlierRejector = tblor;
}
est->setOutlierRejector(outlierRejector);
est->setMinInlierRatio(argf(prefix + "min-inlier-ratio"));
return est;
}
private:
string prefix;
};
#if HAVE_OPENCV_GPU
class RansacMotionEstimatorBuilderGpu : public IMotionEstimatorBuilder
{
public:
RansacMotionEstimatorBuilderGpu(CommandLineParser &cmd, const string &prefix = "")
: IMotionEstimatorBuilder(cmd), prefix(prefix) {}
virtual Ptr<GlobalMotionEstimatorBase> build()
{
RansacMotionEstimatorGpu *est = new RansacMotionEstimatorGpu(motionModel(arg(prefix + "model")));
RansacParams ransac = est->ransacParams();
if (arg(prefix + "subset") != "auto")
ransac.size = argi(prefix + "subset");
if (arg(prefix + "thresh") != "auto")
ransac.thresh = argi(prefix + "thresh");
ransac.eps = argf(prefix + "outlier-ratio");
est->setRansacParams(ransac);
Ptr<IOutlierRejector> outlierRejector = new NullOutlierRejector();
if (arg(prefix + "local-outlier-rejection") == "yes")
if (gpu)
{
TranslationBasedLocalOutlierRejector *tor = new TranslationBasedLocalOutlierRejector();
RansacParams ransacParams = tor->ransacParams();
if (arg(prefix + "thresh") != "auto")
ransacParams.thresh = argf(prefix + "thresh");
tor->setRansacParams(ransacParams);
outlierRejector = tor;
KeypointBasedMotionEstimatorGpu *kbest = new KeypointBasedMotionEstimatorGpu(est);
kbest->setOutlierRejector(outlierRejector);
return kbest;
}
est->setOutlierRejector(outlierRejector);
est->setMinInlierRatio(argf(prefix + "min-inlier-ratio"));
#endif
return est;
KeypointBasedMotionEstimator *kbest = new KeypointBasedMotionEstimator(est);
kbest->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
kbest->setOutlierRejector(outlierRejector);
return kbest;
}
private:
bool gpu;
string prefix;
};
#endif
class LpBasedMotionEstimatorBuilder : public IMotionEstimatorBuilder
class MotionEstimatorL1Builder : public IMotionEstimatorBuilder
{
public:
LpBasedMotionEstimatorBuilder(CommandLineParser &cmd, const string &prefix = "")
: IMotionEstimatorBuilder(cmd), prefix(prefix) {}
MotionEstimatorL1Builder(CommandLineParser &cmd, bool gpu, const string &prefix = "")
: IMotionEstimatorBuilder(cmd), gpu(gpu), prefix(prefix) {}
virtual Ptr<GlobalMotionEstimatorBase> build()
virtual Ptr<ImageMotionEstimatorBase> build()
{
LpBasedMotionEstimator *est = new LpBasedMotionEstimator(motionModel(arg(prefix + "model")));
est->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
MotionEstimatorL1 *est = new MotionEstimatorL1(motionModel(arg(prefix + "model")));
Ptr<IOutlierRejector> outlierRejector = new NullOutlierRejector();
if (arg(prefix + "local-outlier-rejection") == "yes")
{
TranslationBasedLocalOutlierRejector *tor = new TranslationBasedLocalOutlierRejector();
RansacParams ransacParams = tor->ransacParams();
TranslationBasedLocalOutlierRejector *tblor = new TranslationBasedLocalOutlierRejector();
RansacParams ransacParams = tblor->ransacParams();
if (arg(prefix + "thresh") != "auto")
ransacParams.thresh = argf(prefix + "thresh");
tor->setRansacParams(ransacParams);
outlierRejector = tor;
tblor->setRansacParams(ransacParams);
outlierRejector = tblor;
}
#if HAVE_OPENCV_GPU
if (gpu)
{
KeypointBasedMotionEstimatorGpu *kbest = new KeypointBasedMotionEstimatorGpu(est);
kbest->setOutlierRejector(outlierRejector);
return kbest;
}
est->setOutlierRejector(outlierRejector);
#endif
return est;
KeypointBasedMotionEstimator *kbest = new KeypointBasedMotionEstimator(est);
kbest->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
kbest->setOutlierRejector(outlierRejector);
return kbest;
}
private:
bool gpu;
string prefix;
};
......@@ -399,40 +372,16 @@ int main(int argc, const char **argv)
// prepare motion estimation builders
Ptr<IMotionEstimatorBuilder> motionEstBuilder;
#if HAVE_OPENCV_GPU
if (arg("gpu") == "yes")
{
if (arg("lin-prog-motion-est") == "yes")
motionEstBuilder = new LpBasedMotionEstimatorBuilder(cmd);
else
motionEstBuilder = new RansacMotionEstimatorBuilderGpu(cmd);
}
if (arg("lin-prog-motion-est") == "yes")
motionEstBuilder = new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes");
else
#endif
{
if (arg("lin-prog-motion-est") == "yes")
motionEstBuilder = new LpBasedMotionEstimatorBuilder(cmd);
else
motionEstBuilder = new RansacMotionEstimatorBuilder(cmd);
}
motionEstBuilder = new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes");
Ptr<IMotionEstimatorBuilder> wsMotionEstBuilder;
#if HAVE_OPENCV_GPU
if (arg("gpu") == "yes")
{
if (arg("ws-lp") == "yes")
wsMotionEstBuilder = new LpBasedMotionEstimatorBuilder(cmd, "ws-");
else
wsMotionEstBuilder = new RansacMotionEstimatorBuilderGpu(cmd, "ws-");
}
if (arg("ws-lp") == "yes")
wsMotionEstBuilder = new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes", "ws-");
else
#endif
{
if (arg("ws-lp") == "yes")
wsMotionEstBuilder = new LpBasedMotionEstimatorBuilder(cmd, "ws-");
else
wsMotionEstBuilder = new RansacMotionEstimatorBuilder(cmd, "ws-");
}
wsMotionEstBuilder = new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes", "ws-");
// determine whether we must use one pass or two pass stabilizer
bool isTwoPass =
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment