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I am trying to use the BFMatcher class for Akaze

auto bf = cv::BFMatcher(cv::NORM_HAMMING);
bf.knnMatch(featuresA, featuresB, rawMatches, 2);

In Release mode, it works okay; however in Debug, the assertion:

CV_Assert( masks.size() == imageCount );

in line 617 of matchers.cpp under the DescriptorMatcher::checkMasks() function fails.

If it helps, I noticed that in line 616:

size_t imageCount = std::max(trainDescCollection.size(), utrainDescCollection.size() );

both trainDescCollection and utrainDescCollection has a ridiciously large count.

The input parameters are unchanged, and I am using version 3.3.1.

I am trying to use the BFMatcher class for Akaze

auto bf = cv::BFMatcher(cv::NORM_HAMMING);
bf.knnMatch(featuresA, featuresB, rawMatches, 2);

In Release mode, it works okay; however in Debug, the assertion:

CV_Assert( masks.size() == imageCount );

in line 617 of matchers.cpp under the DescriptorMatcher::checkMasks() function fails.

If it helps, I noticed that in line 616:

size_t imageCount = std::max(trainDescCollection.size(), utrainDescCollection.size() );

both trainDescCollection and utrainDescCollection has a ridiciously large count.

The input parameters are unchanged, and I am using version 3.3.1.

I am trying to use the BFMatcher class for Akaze

auto bf = cv::BFMatcher(cv::NORM_HAMMING);
bf.knnMatch(featuresA, featuresB, rawMatches, 2);

In Release mode, it works okay; however in Debug, the assertion:

CV_Assert( masks.size() == imageCount );

in line 617 of matchers.cpp under the DescriptorMatcher::checkMasks() function fails.

If it helps, I noticed that in line 616:

size_t imageCount = std::max(trainDescCollection.size(), utrainDescCollection.size() );

both trainDescCollection and utrainDescCollection has a ridiciously large count.

The input parameters are unchanged, and I am using version 3.3.1.