OpenCV  3.4.0-rc
Open Source Computer Vision
Public Member Functions | List of all members
cv::ShapeTransformer Class Referenceabstract

Abstract base class for shape transformation algorithms. More...

#include "shape_transformer.hpp"

Inheritance diagram for cv::ShapeTransformer:
cv::Algorithm cv::AffineTransformer cv::ThinPlateSplineShapeTransformer

Public Member Functions

virtual float applyTransformation (InputArray input, OutputArray output=noArray())=0
 Apply a transformation, given a pre-estimated transformation parameters. More...
 
virtual void estimateTransformation (InputArray transformingShape, InputArray targetShape, std::vector< DMatch > &matches)=0
 Estimate the transformation parameters of the current transformer algorithm, based on point matches. More...
 
virtual void warpImage (InputArray transformingImage, OutputArray output, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) const =0
 Apply a transformation, given a pre-estimated transformation parameters, to an Image. More...
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
 

Additional Inherited Members

- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
 
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...
 
- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Abstract base class for shape transformation algorithms.

Member Function Documentation

§ applyTransformation()

virtual float cv::ShapeTransformer::applyTransformation ( InputArray  input,
OutputArray  output = noArray() 
)
pure virtual
Python:
retval, output=cv.ShapeTransformer.applyTransformation(input[, output])

Apply a transformation, given a pre-estimated transformation parameters.

Parameters
inputContour (set of points) to apply the transformation.
outputOutput contour.

§ estimateTransformation()

virtual void cv::ShapeTransformer::estimateTransformation ( InputArray  transformingShape,
InputArray  targetShape,
std::vector< DMatch > &  matches 
)
pure virtual
Python:
None=cv.ShapeTransformer.estimateTransformation(transformingShape, targetShape, matches)

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

Parameters
transformingShapeContour defining first shape.
targetShapeContour defining second shape (Target).
matchesStandard vector of Matches between points.

§ warpImage()

virtual void cv::ShapeTransformer::warpImage ( InputArray  transformingImage,
OutputArray  output,
int  flags = INTER_LINEAR,
int  borderMode = BORDER_CONSTANT,
const Scalar borderValue = Scalar() 
) const
pure virtual
Python:
output=cv.ShapeTransformer.warpImage(transformingImage[, output[, flags[, borderMode[, borderValue]]]])

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

Parameters
transformingImageInput image.
outputOutput image.
flagsImage interpolation method.
borderModeborder style.
borderValueborder value.

The documentation for this class was generated from the following file: