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Merge pull request #455 from AlexeySpizhevoy:2.4
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@ -139,12 +139,12 @@ Regression& Regression::add(TestBase* test, const std::string& name, cv::InputAr
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Regression& Regression::addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps, ERROR_TYPE err)
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Regression& Regression::addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps, ERROR_TYPE err)
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{
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{
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int len = (int)array.size();
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int len = (int)array.size();
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cv::Mat pt (len, 1, CV_32FC2, (void*)&array[0].pt, sizeof(cv::KeyPoint));
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cv::Mat pt (len, 1, CV_32FC2, len ? (void*)&array[0].pt : 0, sizeof(cv::KeyPoint));
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cv::Mat size (len, 1, CV_32FC1, (void*)&array[0].size, sizeof(cv::KeyPoint));
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cv::Mat size (len, 1, CV_32FC1, len ? (void*)&array[0].size : 0, sizeof(cv::KeyPoint));
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cv::Mat angle (len, 1, CV_32FC1, (void*)&array[0].angle, sizeof(cv::KeyPoint));
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cv::Mat angle (len, 1, CV_32FC1, len ? (void*)&array[0].angle : 0, sizeof(cv::KeyPoint));
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cv::Mat response(len, 1, CV_32FC1, (void*)&array[0].response, sizeof(cv::KeyPoint));
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cv::Mat response(len, 1, CV_32FC1, len ? (void*)&array[0].response : 0, sizeof(cv::KeyPoint));
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cv::Mat octave (len, 1, CV_32SC1, (void*)&array[0].octave, sizeof(cv::KeyPoint));
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cv::Mat octave (len, 1, CV_32SC1, len ? (void*)&array[0].octave : 0, sizeof(cv::KeyPoint));
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cv::Mat class_id(len, 1, CV_32SC1, (void*)&array[0].class_id, sizeof(cv::KeyPoint));
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cv::Mat class_id(len, 1, CV_32SC1, len ? (void*)&array[0].class_id : 0, sizeof(cv::KeyPoint));
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return Regression::add(test, name + "-pt", pt, eps, ERROR_ABSOLUTE)
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return Regression::add(test, name + "-pt", pt, eps, ERROR_ABSOLUTE)
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(name + "-size", size, eps, ERROR_ABSOLUTE)
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(name + "-size", size, eps, ERROR_ABSOLUTE)
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@ -156,11 +156,11 @@ Regression& Regression::addKeypoints(TestBase* test, const std::string& name, co
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Regression& Regression::addMatches(TestBase* test, const std::string& name, const std::vector<cv::DMatch>& array, double eps, ERROR_TYPE err)
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Regression& Regression::addMatches(TestBase* test, const std::string& name, const std::vector<cv::DMatch>& array, double eps, ERROR_TYPE err)
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{
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{
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int len = (int)array.size();
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int len = (int)array.size();
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cv::Mat queryIdx(len, 1, CV_32SC1, (void*)&array[0].queryIdx, sizeof(cv::DMatch));
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cv::Mat queryIdx(len, 1, CV_32SC1, len ? (void*)&array[0].queryIdx : 0, sizeof(cv::DMatch));
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cv::Mat trainIdx(len, 1, CV_32SC1, (void*)&array[0].trainIdx, sizeof(cv::DMatch));
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cv::Mat trainIdx(len, 1, CV_32SC1, len ? (void*)&array[0].trainIdx : 0, sizeof(cv::DMatch));
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cv::Mat imgIdx (len, 1, CV_32SC1, (void*)&array[0].imgIdx, sizeof(cv::DMatch));
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cv::Mat imgIdx (len, 1, CV_32SC1, len ? (void*)&array[0].imgIdx : 0, sizeof(cv::DMatch));
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cv::Mat distance(len, 1, CV_32FC1, (void*)&array[0].distance, sizeof(cv::DMatch));
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cv::Mat distance(len, 1, CV_32FC1, len ? (void*)&array[0].distance : 0, sizeof(cv::DMatch));
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return Regression::add(test, name + "-queryIdx", queryIdx, DBL_EPSILON, ERROR_ABSOLUTE)
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return Regression::add(test, name + "-queryIdx", queryIdx, DBL_EPSILON, ERROR_ABSOLUTE)
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(name + "-trainIdx", trainIdx, DBL_EPSILON, ERROR_ABSOLUTE)
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(name + "-trainIdx", trainIdx, DBL_EPSILON, ERROR_ABSOLUTE)
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