Fixed Windows build warnings and configuration problem.
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@@ -274,14 +274,14 @@ void FREAK::computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat
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// allocate descriptor memory, estimate orientations, extract descriptors
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if( !extAll ) {
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// extract the best comparisons only
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descriptors = cv::Mat::zeros(keypoints.size(), FREAK_NB_PAIRS/8, CV_8U);
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descriptors = cv::Mat::zeros((int)keypoints.size(), FREAK_NB_PAIRS/8, CV_8U);
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#if CV_SSE2
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__m128i* ptr= (__m128i*) (descriptors.data+(keypoints.size()-1)*descriptors.step[0]);
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// binary: 10000000 => char: 128 or hex: 0x80
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const __m128i binMask = _mm_set_epi8(0x80, 0x80, 0x80, 0x80,
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0x80, 0x80, 0x80, 0x80,
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0x80, 0x80, 0x80, 0x80,
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0x80, 0x80, 0x80, 0x80);
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const __m128i binMask = _mm_set_epi8('\x80', '\x80', '\x80', '\x80',
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'\x80', '\x80', '\x80', '\x80',
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'\x80', '\x80', '\x80', '\x80',
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'\x80', '\x80', '\x80', '\x80');
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#else
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std::bitset<FREAK_NB_PAIRS>* ptr = (std::bitset<FREAK_NB_PAIRS>*) (descriptors.data+(keypoints.size()-1)*descriptors.step[0]);
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#endif
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@@ -390,7 +390,7 @@ void FREAK::computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat
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}
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}
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else { // extract all possible comparisons for selection
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descriptors = cv::Mat::zeros(keypoints.size(), 128, CV_8U);
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descriptors = cv::Mat::zeros((int)keypoints.size(), 128, CV_8U);
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std::bitset<1024>* ptr = (std::bitset<1024>*) (descriptors.data+(keypoints.size()-1)*descriptors.step[0]);
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for( size_t k = keypoints.size(); k--; ) {
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@@ -522,16 +522,16 @@ vector<int> FREAK::selectPairs(const std::vector<Mat>& images
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Mat descriptorsFloat = Mat::zeros(descriptors.rows, 903, CV_32F);
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std::bitset<1024>* ptr = (std::bitset<1024>*) (descriptors.data+(descriptors.rows-1)*descriptors.step[0]);
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for( size_t m = descriptors.rows; m--; ) {
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for( size_t n = 903; n--; ) {
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for( int m = descriptors.rows; m--; ) {
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for( int n = 903; n--; ) {
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if( ptr->test(n) == true )
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descriptorsFloat.at<float>(m,n)=1.0;
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descriptorsFloat.at<float>(m,n)=1.0f;
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}
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--ptr;
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}
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std::vector<PairStat> pairStat;
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for( size_t n = 903; n--; ) {
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for( int n = 903; n--; ) {
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// the higher the variance, the better --> mean = 0.5
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PairStat tmp = { fabs( mean(descriptorsFloat.col(n))[0]-0.5 ) ,n};
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pairStat.push_back(tmp);
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