OpenCV 5.0.0-pre
Open Source Computer Vision
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cv::reg::MapShift Class Reference

#include <opencv2/reg/mapshift.hpp>

Collaboration diagram for cv::reg::MapShift:

Public Member Functions

 MapShift ()
 
 MapShift (InputArray shift)
 
 ~MapShift ()
 
void compose (cv::Ptr< Map > map) CV_OVERRIDE
 
const cv::Vec< double, 2 > & getShift () const
 
void getShift (OutputArray shift) const
 
cv::Ptr< MapinverseMap () const CV_OVERRIDE
 
void inverseWarp (InputArray img1, OutputArray img2) const CV_OVERRIDE
 
void scale (double factor) CV_OVERRIDE
 
- Public Member Functions inherited from cv::reg::Map
virtual ~Map ()
 
virtual void warp (InputArray img1, OutputArray img2) const
 

Detailed Description

Defines an transformation that consists on a simple displacement

Constructor & Destructor Documentation

◆ MapShift() [1/2]

cv::reg::MapShift::MapShift ( )
Python:
cv.reg.MapShift() -> <reg_MapShift object>
cv.reg.MapShift(shift) -> <reg_MapShift object>

Default constructor builds an identity map

◆ MapShift() [2/2]

cv::reg::MapShift::MapShift ( InputArray shift)
Python:
cv.reg.MapShift() -> <reg_MapShift object>
cv.reg.MapShift(shift) -> <reg_MapShift object>

Constructor providing explicit values

Parameters
[in]shiftDisplacement

◆ ~MapShift()

cv::reg::MapShift::~MapShift ( )

Destructor

Member Function Documentation

◆ compose()

void cv::reg::MapShift::compose ( cv::Ptr< Map > map)
virtual
Python:
cv.reg.MapShift.compose(map) -> None

Changes the map composing the current transformation with the one provided in the call. The order is first the current transformation, then the input argument.

Parameters
[in]mapTransformation to compose with.

Implements cv::reg::Map.

◆ getShift() [1/2]

const cv::Vec< double, 2 > & cv::reg::MapShift::getShift ( ) const
inline
Python:
cv.reg.MapShift.getShift([, shift]) -> shift

Return displacement

Returns
Displacement

◆ getShift() [2/2]

void cv::reg::MapShift::getShift ( OutputArray shift) const
inline
Python:
cv.reg.MapShift.getShift([, shift]) -> shift
Here is the call graph for this function:

◆ inverseMap()

cv::Ptr< Map > cv::reg::MapShift::inverseMap ( ) const
virtual
Python:
cv.reg.MapShift.inverseMap() -> retval

Calculates the inverse map

Returns
Inverse map

Implements cv::reg::Map.

◆ inverseWarp()

void cv::reg::MapShift::inverseWarp ( InputArray img1,
OutputArray img2 ) const
virtual
Python:
cv.reg.MapShift.inverseWarp(img1[, img2]) -> img2

Warps image to a new coordinate frame. The calculation is img2(x)=img1(T(x)), so in fact this is the inverse warping as we are taking the value of img1 with the forward transformation of the points.

Parameters
[in]img1Original image
[out]img2Warped image

Implements cv::reg::Map.

◆ scale()

void cv::reg::MapShift::scale ( double factor)
virtual
Python:
cv.reg.MapShift.scale(factor) -> None

Scales the map by a given factor as if the coordinates system is expanded/compressed by that factor.

Parameters
[in]factorExpansion if bigger than one, compression if smaller than one

Implements cv::reg::Map.


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