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_queryDescriptors.type() == trainDescType

Error message: terminate called after throwing an instance of 'cv::Exception'

what(): OpenCV(4.1.2-dev) /home/ztftrue/Downloads/opencv/modules/features2d/src/matchers.cpp:756: error: (-215:Assertion failed) _queryDescriptors.type() == trainDescType in function 'knnMatchImpl'

Code:

Mat input = cv::imread("input.jpg",IMREAD_COLOR);

cout << "input type: "<<input.type() <<="" endl;<="" p="">
cout << "descriptors type: " << descriptors.type() << endl;

bowide.compute(input, keypoints, descriptors);

Out put:

input type: 21 descriptors type: 0

I try:

input.convertTo(input, CV_32F, 1 / 255.0);

input.convertTo(input, CV_32F);

and filter keypoint vector

    if (!keypoints.empty() && keypoints.size() > 10) {

      cv::Mat descriptors;

      extractor->compute(it, keypoints, descriptors);

      if (!descriptors.empty()) {

          descriptors.convertTo(descriptors, CV_32F);

          trainingDescriptors.push_back(descriptors);

      } else {

          std::cout << "- No descriptors found." << std::endl;

      }
  } else {

      std::cout << "- No keypoints found." << std::endl;
  }

_queryDescriptors.type() == trainDescType

Error message: terminate called after throwing an instance of 'cv::Exception'

what(): OpenCV(4.1.2-dev) /home/ztftrue/Downloads/opencv/modules/features2d/src/matchers.cpp:756: error: (-215:Assertion failed) _queryDescriptors.type() == trainDescType in function 'knnMatchImpl'

Code:

Mat input = cv::imread("input.jpg",IMREAD_COLOR); cv::imread("input.jpg",IMREAD_COLOR); cout << "input type: "<<input.type() <<="" endl;<="" p=""> << endl; cout << "descriptors type: " << descriptors.type() << endl; endl; bowide.compute(input, keypoints, descriptors);

descriptors);

Out put:

input type: 21 descriptors type: 0

I try:

~~input.convertTo(input, CV_32F, 1 / 255.0);~~

255.0);

~~input.convertTo(input, CV_32F);~~

CV_32F);

and filter keypoint vector

if (!keypoints.empty() && keypoints.size() > 10) { cv::Mat descriptors; extractor->compute(it, keypoints, descriptors); if (!descriptors.empty()) { descriptors.convertTo(descriptors, CV_32F); trainingDescriptors.push_back(descriptors); } else { std::cout << "- No descriptors found." << std::endl; } } else { std::cout << "- No keypoints found." << std::endl; }