lot's of changes; nonfree & photo modules added; SIFT & SURF -> nonfree module; Inpainting -> photo; refactored features2d (ORB is still failing tests), optimized brute-force matcher and made it non-template.
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@@ -165,6 +165,52 @@ float KeyPoint::overlap( const KeyPoint& kp1, const KeyPoint& kp2 )
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return ovrl;
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}
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struct KeypointResponseGreaterThanThreshold
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{
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KeypointResponseGreaterThanThreshold(float _value) :
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value(_value)
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{
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}
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inline bool operator()(const KeyPoint& kpt) const
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{
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return kpt.response >= value;
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}
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float value;
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};
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struct KeypointResponseGreater
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{
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inline bool operator()(const KeyPoint& kp1, const KeyPoint& kp2) const
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{
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return kp1.response > kp2.response;
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}
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};
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// takes keypoints and culls them by the response
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void KeyPointsFilter::retainBest(vector<KeyPoint>& keypoints, int n_points)
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{
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//this is only necessary if the keypoints size is greater than the number of desired points.
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if( n_points > 0 && keypoints.size() > (size_t)n_points )
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{
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if (n_points==0)
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{
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keypoints.clear();
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return;
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}
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//first use nth element to partition the keypoints into the best and worst.
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std::nth_element(keypoints.begin(), keypoints.begin() + n_points, keypoints.end(), KeypointResponseGreater());
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//this is the boundary response, and in the case of FAST may be ambigous
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float ambiguous_response = keypoints[n_points - 1].response;
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//use std::partition to grab all of the keypoints with the boundary response.
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vector<KeyPoint>::const_iterator new_end =
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std::partition(keypoints.begin() + n_points, keypoints.end(),
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KeypointResponseGreaterThanThreshold(ambiguous_response));
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//resize the keypoints, given this new end point. nth_element and partition reordered the points inplace
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keypoints.resize(new_end - keypoints.begin());
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}
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}
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struct RoiPredicate
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{
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