Class cv::PyRotationWarper#

#include <opencv2/stitching/warpers.hpp>

Collaboration diagram for cv::PyRotationWarper:

Constructor & Destructor Documentation#

PyRotationWarper()#

cv::PyRotationWarper::PyRotationWarper()

Python:

cv.PyRotationWarper(type, scale) -> <PyRotationWarper object>

cv.PyRotationWarper() -> <PyRotationWarper object>

PyRotationWarper()#

cv::PyRotationWarper::PyRotationWarper(
String type,
float scale )

Python:

cv.PyRotationWarper(type, scale) -> <PyRotationWarper object>

cv.PyRotationWarper() -> <PyRotationWarper object>

~PyRotationWarper()#

cv::PyRotationWarper::~PyRotationWarper()

Member Function Documentation#

buildMaps()#

Rect cv::PyRotationWarper::buildMaps(
Size src_size,
InputArray K,
InputArray R,
OutputArray xmap,
OutputArray ymap )

Python:

cv.PyRotationWarper.buildMaps(src_size, K, R[, xmap[, ymap]]) -> retval, xmap, ymap

Builds the projection maps according to the given camera data.

Parameters

src_size — Source image size
K — Camera intrinsic parameters
R — Camera rotation matrix
xmap — Projection map for the x axis
ymap — Projection map for the y axis

Returns

Projected image minimum bounding box

getScale()#

float cv::PyRotationWarper::getScale()

Python:

cv.PyRotationWarper.getScale() -> retval

setScale()#

void cv::PyRotationWarper::setScale(float)

Python:

cv.PyRotationWarper.setScale(arg1)

warp()#

Point cv::PyRotationWarper::warp(
InputArray src,
InputArray K,
InputArray R,
int interp_mode,
int border_mode,
OutputArray dst )

Python:

cv.PyRotationWarper.warp(src, K, R, interp_mode, border_mode[, dst]) -> retval, dst

Projects the image.

Parameters

src — Source image
K — Camera intrinsic parameters
R — Camera rotation matrix
interp_mode — Interpolation mode
border_mode — Border extrapolation mode
dst — Projected image

Returns

Project image top-left corner

warpBackward()#

void cv::PyRotationWarper::warpBackward(
InputArray src,
InputArray K,
InputArray R,
int interp_mode,
int border_mode,
Size dst_size,
OutputArray dst )

Python:

cv.PyRotationWarper.warpBackward(src, K, R, interp_mode, border_mode, dst_size[, dst]) -> dst

Projects the image backward.

Parameters

src — Projected image
K — Camera intrinsic parameters
R — Camera rotation matrix
interp_mode — Interpolation mode
border_mode — Border extrapolation mode
dst_size — Backward-projected image size
dst — Backward-projected image

warpPoint()#

Point2f cv::PyRotationWarper::warpPoint(
const Point2f & pt,
InputArray K,
InputArray R )

Python:

cv.PyRotationWarper.warpPoint(pt, K, R) -> retval

Projects the image point.

Parameters

pt — Source point
K — Camera intrinsic parameters
R — Camera rotation matrix

Returns

Projected point

warpPointBackward()#

Point2f cv::PyRotationWarper::warpPointBackward(
const Point2f & pt,
InputArray K,
InputArray R )

Python:

cv.PyRotationWarper.warpPointBackward(pt, K, R) -> retval

Projects the image point backward.

Parameters

pt — Projected point
K — Camera intrinsic parameters
R — Camera rotation matrix

Returns

Backward-projected point

warpRoi()#

Rect cv::PyRotationWarper::warpRoi(
Size src_size,
InputArray K,
InputArray R )

Python:

cv.PyRotationWarper.warpRoi(src_size, K, R) -> retval

Parameters

src_size — Source image bounding box
K — Camera intrinsic parameters
R — Camera rotation matrix

Returns

Projected image minimum bounding box

Member Data Documentation#

rw#

Ptr< detail::RotationWarper > cv::PyRotationWarper::rw

Source file#

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

opencv2/stitching/warpers.hpp