Class cv::detail::GainCompensator#
Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see [47] and [342] for details.
Collaboration diagram for cv::detail::GainCompensator:
Public Types#
Public Types inherited from cv::detail::ExposureCompensator
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Public Member Functions#
Public Member Functions inherited from cv::detail::ExposureCompensator
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Compensate exposure in the specified image. |
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Static Public Member Functions#
Static Public Member Functions inherited from cv::detail::ExposureCompensator
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Additional Inherited Members#
Protected Attributes inherited from cv::detail::ExposureCompensator
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Detailed Description#
Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see [47] and [342] for details.
- Examples
- samples/cpp/stitching_detailed.cpp.
Constructor & Destructor Documentation#
GainCompensator()#
cv::detail::GainCompensator::GainCompensator()
Python:
cv.detail.GainCompensator() -> <detail_GainCompensator object>
cv.detail.GainCompensator(nr_feeds) -> <detail_GainCompensator object>
GainCompensator()#
cv::detail::GainCompensator::GainCompensator(int nr_feeds)
Python:
cv.detail.GainCompensator() -> <detail_GainCompensator object>
cv.detail.GainCompensator(nr_feeds) -> <detail_GainCompensator object>
Member Function Documentation#
apply()#
void cv::detail::GainCompensator::apply(
int index,
Point corner,
InputOutputArray image,
InputArray mask )
Python:
cv.detail.GainCompensator.apply(index, corner, image, mask) -> image
Compensate exposure in the specified image.
Parameters
index— Image indexcorner— Image top-left cornerimage— Image to processmask— Image mask
feed()#
void cv::detail::GainCompensator::feed(
const std::vector< Point > & corners,
const std::vector< UMat > & images,
const std::vector< std::pair< UMat, uchar > > & masks )
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
gains()#
std::vector< double > cv::detail::GainCompensator::gains()
getMatGains()#
void cv::detail::GainCompensator::getMatGains(std::vector< Mat > & umv)
Python:
cv.detail.GainCompensator.getMatGains([, umv]) -> umv
getNrFeeds()#
int cv::detail::GainCompensator::getNrFeeds()
Python:
cv.detail.GainCompensator.getNrFeeds() -> retval
getSimilarityThreshold()#
double cv::detail::GainCompensator::getSimilarityThreshold()
Python:
cv.detail.GainCompensator.getSimilarityThreshold() -> retval
prepareSimilarityMask()#
void cv::detail::GainCompensator::prepareSimilarityMask(
const std::vector< Point > & corners,
const std::vector< UMat > & images )
setMatGains()#
void cv::detail::GainCompensator::setMatGains(std::vector< Mat > & umv)
Python:
cv.detail.GainCompensator.setMatGains(umv)
setNrFeeds()#
void cv::detail::GainCompensator::setNrFeeds(int nr_feeds)
Python:
cv.detail.GainCompensator.setNrFeeds(nr_feeds)
setSimilarityThreshold()#
void cv::detail::GainCompensator::setSimilarityThreshold(double similarity_threshold)
Python:
cv.detail.GainCompensator.setSimilarityThreshold(similarity_threshold)
singleFeed()#
void cv::detail::GainCompensator::singleFeed(
const std::vector< Point > & corners,
const std::vector< UMat > & images,
const std::vector< std::pair< UMat, uchar > > & masks )
buildSimilarityMask()#
UMat cv::detail::GainCompensator::buildSimilarityMask(
InputArray src_array1,
InputArray src_array2 )
Member Data Documentation#
gains_#
Mat_< double > cv::detail::GainCompensator::gains_
nr_feeds_#
int cv::detail::GainCompensator::nr_feeds_
similarities_#
std::vector< UMat > cv::detail::GainCompensator::similarities_
similarity_threshold_#
double cv::detail::GainCompensator::similarity_threshold_
Source file#
The documentation for this class was generated from the following file:
opencv2/stitching/detail/exposure_compensate.hpp