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features2d.cpp
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features2d.cpp
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#include "features2d.h"
AKAZE AKAZE_Create() {
// TODO: params
return new cv::Ptr<cv::AKAZE>(cv::AKAZE::create());
}
void AKAZE_Close(AKAZE a) {
delete a;
}
struct KeyPoints AKAZE_Detect(AKAZE a, Mat src) {
std::vector<cv::KeyPoint> detected;
(*a)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
struct KeyPoints AKAZE_DetectAndCompute(AKAZE a, Mat src, Mat mask, Mat desc) {
std::vector<cv::KeyPoint> detected;
(*a)->detectAndCompute(*src, *mask, detected, *desc);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
AgastFeatureDetector AgastFeatureDetector_Create() {
// TODO: params
return new cv::Ptr<cv::AgastFeatureDetector>(cv::AgastFeatureDetector::create());
}
void AgastFeatureDetector_Close(AgastFeatureDetector a) {
delete a;
}
struct KeyPoints AgastFeatureDetector_Detect(AgastFeatureDetector a, Mat src) {
std::vector<cv::KeyPoint> detected;
(*a)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
BRISK BRISK_Create() {
// TODO: params
return new cv::Ptr<cv::BRISK>(cv::BRISK::create());
}
void BRISK_Close(BRISK b) {
delete b;
}
struct KeyPoints BRISK_Detect(BRISK b, Mat src) {
std::vector<cv::KeyPoint> detected;
(*b)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
struct KeyPoints BRISK_DetectAndCompute(BRISK b, Mat src, Mat mask, Mat desc) {
std::vector<cv::KeyPoint> detected;
(*b)->detectAndCompute(*src, *mask, detected, *desc);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
GFTTDetector GFTTDetector_Create() {
// TODO: params
return new cv::Ptr<cv::GFTTDetector>(cv::GFTTDetector::create());
}
void GFTTDetector_Close(GFTTDetector a) {
delete a;
}
struct KeyPoints GFTTDetector_Detect(GFTTDetector a, Mat src) {
std::vector<cv::KeyPoint> detected;
(*a)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
KAZE KAZE_Create() {
// TODO: params
return new cv::Ptr<cv::KAZE>(cv::KAZE::create());
}
void KAZE_Close(KAZE a) {
delete a;
}
struct KeyPoints KAZE_Detect(KAZE a, Mat src) {
std::vector<cv::KeyPoint> detected;
(*a)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
struct KeyPoints KAZE_DetectAndCompute(KAZE a, Mat src, Mat mask, Mat desc) {
std::vector<cv::KeyPoint> detected;
(*a)->detectAndCompute(*src, *mask, detected, *desc);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
MSER MSER_Create() {
// TODO: params
return new cv::Ptr<cv::MSER>(cv::MSER::create());
}
void MSER_Close(MSER a) {
delete a;
}
struct KeyPoints MSER_Detect(MSER a, Mat src) {
std::vector<cv::KeyPoint> detected;
(*a)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
FastFeatureDetector FastFeatureDetector_Create() {
return new cv::Ptr<cv::FastFeatureDetector>(cv::FastFeatureDetector::create());
}
void FastFeatureDetector_Close(FastFeatureDetector f) {
delete f;
}
FastFeatureDetector FastFeatureDetector_CreateWithParams(int threshold, bool nonmaxSuppression, int type) {
return new cv::Ptr<cv::FastFeatureDetector>(cv::FastFeatureDetector::create(threshold,nonmaxSuppression,static_cast<cv::FastFeatureDetector::DetectorType>(type)));
}
struct KeyPoints FastFeatureDetector_Detect(FastFeatureDetector f, Mat src) {
std::vector<cv::KeyPoint> detected;
(*f)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
ORB ORB_Create() {
// TODO: params
return new cv::Ptr<cv::ORB>(cv::ORB::create());
}
void ORB_Close(ORB o) {
delete o;
}
struct KeyPoints ORB_Detect(ORB o, Mat src) {
std::vector<cv::KeyPoint> detected;
(*o)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
struct KeyPoints ORB_DetectAndCompute(ORB o, Mat src, Mat mask, Mat desc) {
std::vector<cv::KeyPoint> detected;
(*o)->detectAndCompute(*src, *mask, detected, *desc);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
cv::SimpleBlobDetector::Params ConvertCParamsToCPPParams(SimpleBlobDetectorParams params) {
cv::SimpleBlobDetector::Params converted;
converted.blobColor = params.blobColor;
converted.filterByArea = params.filterByArea;
converted.filterByCircularity = params.filterByCircularity;
converted.filterByColor = params.filterByColor;
converted.filterByConvexity = params.filterByConvexity;
converted.filterByInertia = params.filterByInertia;
converted.maxArea = params.maxArea;
converted.maxCircularity = params.maxCircularity;
converted.maxConvexity = params.maxConvexity;
converted.maxInertiaRatio = params.maxInertiaRatio;
converted.maxThreshold = params.maxThreshold;
converted.minArea = params.minArea;
converted.minCircularity = params.minCircularity;
converted.minConvexity = params.minConvexity;
converted.minDistBetweenBlobs = params.minDistBetweenBlobs;
converted.minInertiaRatio = params.minInertiaRatio;
converted.minRepeatability = params.minRepeatability;
converted.minThreshold = params.minThreshold;
converted.thresholdStep = params.thresholdStep;
return converted;
}
SimpleBlobDetectorParams ConvertCPPParamsToCParams(cv::SimpleBlobDetector::Params params) {
SimpleBlobDetectorParams converted;
converted.blobColor = params.blobColor;
converted.filterByArea = params.filterByArea;
converted.filterByCircularity = params.filterByCircularity;
converted.filterByColor = params.filterByColor;
converted.filterByConvexity = params.filterByConvexity;
converted.filterByInertia = params.filterByInertia;
converted.maxArea = params.maxArea;
converted.maxCircularity = params.maxCircularity;
converted.maxConvexity = params.maxConvexity;
converted.maxInertiaRatio = params.maxInertiaRatio;
converted.maxThreshold = params.maxThreshold;
converted.minArea = params.minArea;
converted.minCircularity = params.minCircularity;
converted.minConvexity = params.minConvexity;
converted.minDistBetweenBlobs = params.minDistBetweenBlobs;
converted.minInertiaRatio = params.minInertiaRatio;
converted.minRepeatability = params.minRepeatability;
converted.minThreshold = params.minThreshold;
converted.thresholdStep = params.thresholdStep;
return converted;
}
SimpleBlobDetector SimpleBlobDetector_Create_WithParams(SimpleBlobDetectorParams params){
cv::SimpleBlobDetector::Params actualParams;
return new cv::Ptr<cv::SimpleBlobDetector>(cv::SimpleBlobDetector::create(ConvertCParamsToCPPParams(params)));
}
SimpleBlobDetector SimpleBlobDetector_Create() {
return new cv::Ptr<cv::SimpleBlobDetector>(cv::SimpleBlobDetector::create());
}
SimpleBlobDetectorParams SimpleBlobDetectorParams_Create() {
return ConvertCPPParamsToCParams(cv::SimpleBlobDetector::Params());
}
void SimpleBlobDetector_Close(SimpleBlobDetector b) {
delete b;
}
struct KeyPoints SimpleBlobDetector_Detect(SimpleBlobDetector b, Mat src) {
std::vector<cv::KeyPoint> detected;
(*b)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
BFMatcher BFMatcher_Create() {
return new cv::Ptr<cv::BFMatcher>(cv::BFMatcher::create());
}
BFMatcher BFMatcher_CreateWithParams(int normType, bool crossCheck) {
return new cv::Ptr<cv::BFMatcher>(cv::BFMatcher::create(normType, crossCheck));
}
void BFMatcher_Close(BFMatcher b) {
delete b;
}
struct MultiDMatches BFMatcher_KnnMatch(BFMatcher b, Mat query, Mat train, int k) {
std::vector< std::vector<cv::DMatch> > matches;
(*b)->knnMatch(*query, *train, matches, k);
DMatches *dms = new DMatches[matches.size()];
for (size_t i = 0; i < matches.size(); ++i) {
DMatch *dmatches = new DMatch[matches[i].size()];
for (size_t j = 0; j < matches[i].size(); ++j) {
DMatch dmatch = {matches[i][j].queryIdx, matches[i][j].trainIdx, matches[i][j].imgIdx,
matches[i][j].distance};
dmatches[j] = dmatch;
}
dms[i] = {dmatches, (int) matches[i].size()};
}
MultiDMatches ret = {dms, (int) matches.size()};
return ret;
}
struct MultiDMatches BFMatcher_KnnMatchWithParams(BFMatcher b, Mat query, Mat train, int k, Mat mask, bool compactResult) {
std::vector< std::vector<cv::DMatch> > matches;
(*b)->knnMatch(*query, *train, matches, k, *mask, compactResult);
DMatches *dms = new DMatches[matches.size()];
for (size_t i = 0; i < matches.size(); ++i) {
DMatch *dmatches = new DMatch[matches[i].size()];
for (size_t j = 0; j < matches[i].size(); ++j) {
DMatch dmatch = {matches[i][j].queryIdx, matches[i][j].trainIdx, matches[i][j].imgIdx,
matches[i][j].distance};
dmatches[j] = dmatch;
}
dms[i] = {dmatches, (int) matches[i].size()};
}
MultiDMatches ret = {dms, (int) matches.size()};
return ret;
}
void DrawKeyPoints(Mat src, struct KeyPoints kp, Mat dst, Scalar s, int flags) {
std::vector<cv::KeyPoint> keypts;
cv::KeyPoint keypt;
for (int i = 0; i < kp.length; ++i) {
keypt = cv::KeyPoint(kp.keypoints[i].x, kp.keypoints[i].y,
kp.keypoints[i].size, kp.keypoints[i].angle, kp.keypoints[i].response,
kp.keypoints[i].octave, kp.keypoints[i].classID);
keypts.push_back(keypt);
}
cv::Scalar color = cv::Scalar(s.val1, s.val2, s.val3, s.val4);
cv::drawKeypoints(*src, keypts, *dst, color, static_cast<cv::DrawMatchesFlags>(flags));
}
SIFT SIFT_Create() {
// TODO: params
return new cv::Ptr<cv::SIFT>(cv::SIFT::create());
}
void SIFT_Close(SIFT d) {
delete d;
}
struct KeyPoints SIFT_Detect(SIFT d, Mat src) {
std::vector<cv::KeyPoint> detected;
(*d)->detect(*src, detected);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}
struct KeyPoints SIFT_DetectAndCompute(SIFT d, Mat src, Mat mask, Mat desc) {
std::vector<cv::KeyPoint> detected;
(*d)->detectAndCompute(*src, *mask, detected, *desc);
KeyPoint* kps = new KeyPoint[detected.size()];
for (size_t i = 0; i < detected.size(); ++i) {
KeyPoint k = {detected[i].pt.x, detected[i].pt.y, detected[i].size, detected[i].angle,
detected[i].response, detected[i].octave, detected[i].class_id
};
kps[i] = k;
}
KeyPoints ret = {kps, (int)detected.size()};
return ret;
}