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fix typo confindece

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This commit is contained in:
Avasam 2023-06-16 20:26:26 -04:00
parent d24ffe9a65
commit 277b0231f2
2 changed files with 9 additions and 9 deletions
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8
modules/stitching/include/opencv2/stitching/detail/matchers.hpp
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@ -190,22 +190,22 @@ public:
estimation used in the inliers classification step
@param num_matches_thresh2 Minimum number of matches required for the 2D projective transform
re-estimation on inliers
@param matches_confindece_thresh Matching confidence threshold to take the match into account.
@param matches_confidence_thresh Matching confidence threshold to take the match into account.
The threshold was determined experimentally and set to 3 by default.
*/
CV_WRAP BestOf2NearestMatcher(bool try_use_gpu = false, float match_conf = 0.3f, int num_matches_thresh1 = 6,
int num_matches_thresh2 = 6, double matches_confindece_thresh = 3.);
int num_matches_thresh2 = 6, double matches_confidence_thresh = 3.);
CV_WRAP void collectGarbage() CV_OVERRIDE;
CV_WRAP static Ptr<BestOf2NearestMatcher> create(bool try_use_gpu = false, float match_conf = 0.3f, int num_matches_thresh1 = 6,
int num_matches_thresh2 = 6, double matches_confindece_thresh = 3.);
int num_matches_thresh2 = 6, double matches_confidence_thresh = 3.);
protected:
void match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info) CV_OVERRIDE;
int num_matches_thresh1_;
int num_matches_thresh2_;
double matches_confindece_thresh_;
double matches_confidence_thresh_;
Ptr<FeaturesMatcher> impl_;
};

10
modules/stitching/src/matchers.cpp
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@ -365,7 +365,7 @@ void FeaturesMatcher::match(const std::vector<ImageFeatures> &features, std::vec
//////////////////////////////////////////////////////////////////////////////
BestOf2NearestMatcher::BestOf2NearestMatcher(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2, double matches_confindece_thresh)
BestOf2NearestMatcher::BestOf2NearestMatcher(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2, double matches_confidence_thresh)
{
CV_UNUSED(try_use_gpu);
@ -383,13 +383,13 @@ BestOf2NearestMatcher::BestOf2NearestMatcher(bool try_use_gpu, float match_conf,
is_thread_safe_ = impl_->isThreadSafe();
num_matches_thresh1_ = num_matches_thresh1;
num_matches_thresh2_ = num_matches_thresh2;
matches_confindece_thresh_ = matches_confindece_thresh;
matches_confidence_thresh_ = matches_confidence_thresh;
}
Ptr<BestOf2NearestMatcher> BestOf2NearestMatcher::create(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2,
double matches_confindece_thresh)
double matches_confidence_thresh)
{
return makePtr<BestOf2NearestMatcher>(try_use_gpu, match_conf, num_matches_thresh1, num_matches_thresh2, matches_confindece_thresh);
return makePtr<BestOf2NearestMatcher>(try_use_gpu, match_conf, num_matches_thresh1, num_matches_thresh2, matches_confidence_thresh);
}
@ -440,7 +440,7 @@ void BestOf2NearestMatcher::match(const ImageFeatures &features1, const ImageFea
// Set zero confidence to remove matches between too close images, as they don't provide
// additional information anyway.
matches_info.confidence = matches_info.confidence > matches_confindece_thresh_ ? 0. : matches_info.confidence;
matches_info.confidence = matches_info.confidence > matches_confidence_thresh_ ? 0. : matches_info.confidence;
// Check if we should try to refine motion
if (matches_info.num_inliers < num_matches_thresh2_)