Class cv::detail::FeaturesMatcher#

Feature matchers base class.

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

Collaboration diagram for cv::detail::FeaturesMatcher:

Detailed Description#

Feature matchers base class.

Examples: samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

~FeaturesMatcher()#

cv::detail::FeaturesMatcher::~FeaturesMatcher()

FeaturesMatcher()#

cv::detail::FeaturesMatcher::FeaturesMatcher(bool is_thread_safe = false)

Member Function Documentation#

collectGarbage()#

void cv::detail::FeaturesMatcher::collectGarbage()

Python:

cv.detail.FeaturesMatcher.collectGarbage()

Frees unused memory allocated before if there is any.

isThreadSafe()#

bool cv::detail::FeaturesMatcher::isThreadSafe()

Python:

cv.detail.FeaturesMatcher.isThreadSafe() -> retval

Returns

True, if it’s possible to use the same matcher instance in parallel, false otherwise

operator()()#

void cv::detail::FeaturesMatcher::operator()(
const ImageFeatures & features1,
const ImageFeatures & features2,
MatchesInfo & matches_info )

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

Parameters

features1 — First image features
features2 — Second image features
matches_info — Found matches

operator()()#

void cv::detail::FeaturesMatcher::operator()(
const std::vector< ImageFeatures > & features,
std::vector< MatchesInfo > & pairwise_matches,
const cv::UMat & mask = cv::UMat() )

Performs images matching.

The function is parallelized with the TBB library.

match()#

void cv::detail::FeaturesMatcher::match(
const ImageFeatures & features1,
const ImageFeatures & features2,
MatchesInfo & matches_info )

This method must implement matching logic in order to make the wrappers detail::FeaturesMatcher::operator()_ work.

Parameters

features1 — first image features
features2 — second image features
matches_info — found matches

match()#

void cv::detail::FeaturesMatcher::match(
const std::vector< ImageFeatures > & features,
std::vector< MatchesInfo > & pairwise_matches,
const cv::UMat & mask = cv::UMat() )

This method implements logic to match features between arbitrary number of features. By default this checks every pair of inputs in the input, but the behaviour can be changed by subclasses.

Parameters

features — vector of image features
pairwise_matches — found matches
mask — (optional) mask indicating which image pairs should be matched

Member Data Documentation#

is_thread_safe_#

bool cv::detail::FeaturesMatcher::is_thread_safe_

Source file#

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

opencv2/stitching/detail/matchers.hpp