Class cv::detail::MultiBandBlender#

Blender which uses multi-band blending algorithm (see [52]).

#include <opencv2/stitching/detail/blenders.hpp>

Collaboration diagram for cv::detail::MultiBandBlender:

Public Types#

Public Member Functions#

Public Member Functions inherited from cv::detail::Blender

Return	Name	Description
	`~Blender()`
`void`	`blend(` `InputOutputArray dst,` `InputOutputArray dst_mask )`	Blends and returns the final pano.
`void`	`feed(` `InputArray img,` `InputArray mask,` `Point tl )`	Processes the image.
`void`	`prepare(` `const std::vector< Point > & corners,` `const std::vector< Size > & sizes )`	Prepares the blender for blending.
`void`	`prepare(Rect dst_roi)`

Static Public Member Functions#

Additional Inherited Members#

Detailed Description#

Blender which uses multi-band blending algorithm (see [52]).

Examples: samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

MultiBandBlender()#

cv::detail::MultiBandBlender::MultiBandBlender(
int try_gpu = false,
int num_bands = 5,
int weight_type = CV_32F )

Python:

cv.detail.MultiBandBlender([, try_gpu[, num_bands[, weight_type]]]) -> <detail_MultiBandBlender object>

Member Function Documentation#

blend()#

void cv::detail::MultiBandBlender::blend(
InputOutputArray dst,
InputOutputArray dst_mask )

Python:

cv.detail.MultiBandBlender.blend(dst, dst_mask) -> dst, dst_mask

Blends and returns the final pano.

Parameters

dst — Final pano
dst_mask — Final pano mask

feed()#

void cv::detail::MultiBandBlender::feed(
InputArray img,
InputArray mask,
Point tl )

Python:

cv.detail.MultiBandBlender.feed(img, mask, tl)

Processes the image.

Parameters

img — Source image
mask — Source image mask
tl — Source image top-left corners

numBands()#

int cv::detail::MultiBandBlender::numBands()

Python:

cv.detail.MultiBandBlender.numBands() -> retval

prepare()#

void cv::detail::MultiBandBlender::prepare(Rect dst_roi)

Python:

cv.detail.MultiBandBlender.prepare(dst_roi)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

setNumBands()#

void cv::detail::MultiBandBlender::setNumBands(int val)

Python:

cv.detail.MultiBandBlender.setNumBands(val)

Member Data Documentation#

actual_num_bands_#

int cv::detail::MultiBandBlender::actual_num_bands_

can_use_gpu_#

bool cv::detail::MultiBandBlender::can_use_gpu_

dst_band_weights_#

std::vector< UMat > cv::detail::MultiBandBlender::dst_band_weights_

dst_pyr_laplace_#

std::vector< UMat > cv::detail::MultiBandBlender::dst_pyr_laplace_

dst_roi_final_#

Rect cv::detail::MultiBandBlender::dst_roi_final_

num_bands_#

int cv::detail::MultiBandBlender::num_bands_

weight_type_#

int cv::detail::MultiBandBlender::weight_type_

Source file#

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

opencv2/stitching/detail/blenders.hpp

Return	Name	Description
`UMat`	`dst_`
`UMat`	`dst_mask_`
`Rect`	`dst_roi_`