Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect
merge with https://github.com/opencv/opencv_contrib/pull/3394
move Charuco API from contrib to main repo:
- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds,
OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
OutputArray _diamondIds) const
```
- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2 years ago
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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#include "perf_precomp.hpp"
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#include "opencv2/calib3d.hpp"
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namespace opencv_test {
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using namespace perf;
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typedef tuple<bool, int> UseArucoParams;
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typedef TestBaseWithParam<UseArucoParams> EstimateAruco;
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#define ESTIMATE_PARAMS Combine(Values(false, true), Values(-1))
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static double deg2rad(double deg) { return deg * CV_PI / 180.; }
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class MarkerPainter
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{
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private:
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int imgMarkerSize = 0;
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Mat cameraMatrix;
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public:
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MarkerPainter(const int size) {
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setImgMarkerSize(size);
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}
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void setImgMarkerSize(const int size) {
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imgMarkerSize = size;
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cameraMatrix = Mat::eye(3, 3, CV_64FC1);
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cameraMatrix.at<double>(0, 0) = cameraMatrix.at<double>(1, 1) = imgMarkerSize;
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cameraMatrix.at<double>(0, 2) = imgMarkerSize / 2.0;
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cameraMatrix.at<double>(1, 2) = imgMarkerSize / 2.0;
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}
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static std::pair<Mat, Mat> getSyntheticRT(double yaw, double pitch, double distance) {
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auto rvec_tvec = std::make_pair(Mat(3, 1, CV_64FC1), Mat(3, 1, CV_64FC1));
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Mat& rvec = rvec_tvec.first;
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Mat& tvec = rvec_tvec.second;
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// Rvec
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// first put the Z axis aiming to -X (like the camera axis system)
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Mat rotZ(3, 1, CV_64FC1);
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rotZ.ptr<double>(0)[0] = 0;
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rotZ.ptr<double>(0)[1] = 0;
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rotZ.ptr<double>(0)[2] = -0.5 * CV_PI;
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Mat rotX(3, 1, CV_64FC1);
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rotX.ptr<double>(0)[0] = 0.5 * CV_PI;
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rotX.ptr<double>(0)[1] = 0;
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rotX.ptr<double>(0)[2] = 0;
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Mat camRvec, camTvec;
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composeRT(rotZ, Mat(3, 1, CV_64FC1, Scalar::all(0)), rotX, Mat(3, 1, CV_64FC1, Scalar::all(0)),
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camRvec, camTvec);
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// now pitch and yaw angles
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Mat rotPitch(3, 1, CV_64FC1);
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rotPitch.ptr<double>(0)[0] = 0;
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rotPitch.ptr<double>(0)[1] = pitch;
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rotPitch.ptr<double>(0)[2] = 0;
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Mat rotYaw(3, 1, CV_64FC1);
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rotYaw.ptr<double>(0)[0] = yaw;
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rotYaw.ptr<double>(0)[1] = 0;
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rotYaw.ptr<double>(0)[2] = 0;
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composeRT(rotPitch, Mat(3, 1, CV_64FC1, Scalar::all(0)), rotYaw,
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Mat(3, 1, CV_64FC1, Scalar::all(0)), rvec, tvec);
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// compose both rotations
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composeRT(camRvec, Mat(3, 1, CV_64FC1, Scalar::all(0)), rvec,
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Mat(3, 1, CV_64FC1, Scalar::all(0)), rvec, tvec);
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// Tvec, just move in z (camera) direction the specific distance
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tvec.ptr<double>(0)[0] = 0.;
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tvec.ptr<double>(0)[1] = 0.;
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tvec.ptr<double>(0)[2] = distance;
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return rvec_tvec;
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}
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std::pair<Mat, vector<Point2f> > getProjectMarker(int id, double yaw, double pitch,
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const aruco::DetectorParameters& parameters,
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const aruco::Dictionary& dictionary) {
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auto marker_corners = std::make_pair(Mat(imgMarkerSize, imgMarkerSize, CV_8UC1, Scalar::all(255)), vector<Point2f>());
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Mat& img = marker_corners.first;
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vector<Point2f>& corners = marker_corners.second;
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// canonical image
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const int markerSizePixels = static_cast<int>(imgMarkerSize/sqrt(2.f));
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aruco::generateImageMarker(dictionary, id, markerSizePixels, img, parameters.markerBorderBits);
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// get rvec and tvec for the perspective
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const double distance = 0.1;
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auto rvec_tvec = MarkerPainter::getSyntheticRT(yaw, pitch, distance);
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Mat& rvec = rvec_tvec.first;
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Mat& tvec = rvec_tvec.second;
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const float markerLength = 0.05f;
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vector<Point3f> markerObjPoints;
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markerObjPoints.emplace_back(Point3f(-markerLength / 2.f, +markerLength / 2.f, 0));
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markerObjPoints.emplace_back(markerObjPoints[0] + Point3f(markerLength, 0, 0));
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markerObjPoints.emplace_back(markerObjPoints[0] + Point3f(markerLength, -markerLength, 0));
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markerObjPoints.emplace_back(markerObjPoints[0] + Point3f(0, -markerLength, 0));
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// project markers and draw them
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Mat distCoeffs(5, 1, CV_64FC1, Scalar::all(0));
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projectPoints(markerObjPoints, rvec, tvec, cameraMatrix, distCoeffs, corners);
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vector<Point2f> originalCorners;
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originalCorners.emplace_back(Point2f(0.f, 0.f));
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originalCorners.emplace_back(originalCorners[0]+Point2f((float)markerSizePixels, 0));
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originalCorners.emplace_back(originalCorners[0]+Point2f((float)markerSizePixels, (float)markerSizePixels));
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originalCorners.emplace_back(originalCorners[0]+Point2f(0, (float)markerSizePixels));
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Mat transformation = getPerspectiveTransform(originalCorners, corners);
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warpPerspective(img, img, transformation, Size(imgMarkerSize, imgMarkerSize), INTER_NEAREST, BORDER_CONSTANT,
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Scalar::all(255));
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return marker_corners;
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}
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std::pair<Mat, map<int, vector<Point2f> > > getProjectMarkersTile(const int numMarkers,
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const aruco::DetectorParameters& params,
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const aruco::Dictionary& dictionary) {
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Mat tileImage(imgMarkerSize*numMarkers, imgMarkerSize*numMarkers, CV_8UC1, Scalar::all(255));
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map<int, vector<Point2f> > idCorners;
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int iter = 0, pitch = 0, yaw = 0;
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for (int i = 0; i < numMarkers; i++) {
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for (int j = 0; j < numMarkers; j++) {
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int currentId = iter;
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auto marker_corners = getProjectMarker(currentId, deg2rad(70+yaw), deg2rad(pitch), params, dictionary);
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Point2i startPoint(j*imgMarkerSize, i*imgMarkerSize);
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Mat tmp_roi = tileImage(Rect(startPoint.x, startPoint.y, imgMarkerSize, imgMarkerSize));
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marker_corners.first.copyTo(tmp_roi);
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for (Point2f& point: marker_corners.second)
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point += static_cast<Point2f>(startPoint);
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idCorners[currentId] = marker_corners.second;
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auto test = idCorners[currentId];
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yaw = (yaw + 10) % 51; // 70+yaw >= 70 && 70+yaw <= 120
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iter++;
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}
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pitch = (pitch + 60) % 360;
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}
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return std::make_pair(tileImage, idCorners);
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}
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};
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static inline double getMaxDistance(map<int, vector<Point2f> > &golds, const vector<int>& ids,
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const vector<vector<Point2f> >& corners) {
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std::map<int, double> mapDist;
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for (const auto& el : golds)
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mapDist[el.first] = std::numeric_limits<double>::max();
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for (size_t i = 0; i < ids.size(); i++) {
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int id = ids[i];
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const auto gold_corners = golds.find(id);
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if (gold_corners != golds.end()) {
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double distance = 0.;
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for (int c = 0; c < 4; c++)
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distance = std::max(distance, cv::norm(gold_corners->second[c] - corners[i][c]));
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mapDist[id] = distance;
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}
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}
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return std::max_element(std::begin(mapDist), std::end(mapDist),
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[](const pair<int, double>& p1, const pair<int, double>& p2){return p1.second < p2.second;})->second;
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}
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PERF_TEST_P(EstimateAruco, ArucoFirst, ESTIMATE_PARAMS) {
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UseArucoParams testParams = GetParam();
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aruco::Dictionary dictionary = aruco::getPredefinedDictionary(aruco::DICT_6X6_250);
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aruco::DetectorParameters detectorParams;
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detectorParams.minDistanceToBorder = 1;
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detectorParams.markerBorderBits = 1;
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detectorParams.cornerRefinementMethod = (int)cv::aruco::CORNER_REFINE_SUBPIX;
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Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect
merge with https://github.com/opencv/opencv_contrib/pull/3394
move Charuco API from contrib to main repo:
- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds,
OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
OutputArray _diamondIds) const
```
- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2 years ago
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const int markerSize = 100;
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const int numMarkersInRow = 9;
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//USE_ARUCO3
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detectorParams.useAruco3Detection = get<0>(testParams);
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if (detectorParams.useAruco3Detection) {
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detectorParams.minSideLengthCanonicalImg = 32;
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detectorParams.minMarkerLengthRatioOriginalImg = 0.04f / numMarkersInRow;
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}
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aruco::ArucoDetector detector(dictionary, detectorParams);
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MarkerPainter painter(markerSize);
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auto image_map = painter.getProjectMarkersTile(numMarkersInRow, detectorParams, dictionary);
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// detect markers
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vector<vector<Point2f> > corners;
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vector<int> ids;
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TEST_CYCLE() {
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detector.detectMarkers(image_map.first, corners, ids);
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}
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ASSERT_EQ(numMarkersInRow*numMarkersInRow, static_cast<int>(ids.size()));
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double maxDistance = getMaxDistance(image_map.second, ids, corners);
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ASSERT_LT(maxDistance, 3.);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(EstimateAruco, ArucoSecond, ESTIMATE_PARAMS) {
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UseArucoParams testParams = GetParam();
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aruco::Dictionary dictionary = aruco::getPredefinedDictionary(aruco::DICT_6X6_250);
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aruco::DetectorParameters detectorParams;
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detectorParams.minDistanceToBorder = 1;
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detectorParams.markerBorderBits = 1;
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detectorParams.cornerRefinementMethod = (int)cv::aruco::CORNER_REFINE_SUBPIX;
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Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect
merge with https://github.com/opencv/opencv_contrib/pull/3394
move Charuco API from contrib to main repo:
- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds,
OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
OutputArray _diamondIds) const
```
- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2 years ago
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//USE_ARUCO3
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detectorParams.useAruco3Detection = get<0>(testParams);
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if (detectorParams.useAruco3Detection) {
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detectorParams.minSideLengthCanonicalImg = 64;
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detectorParams.minMarkerLengthRatioOriginalImg = 0.f;
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}
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aruco::ArucoDetector detector(dictionary, detectorParams);
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const int markerSize = 200;
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const int numMarkersInRow = 11;
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MarkerPainter painter(markerSize);
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auto image_map = painter.getProjectMarkersTile(numMarkersInRow, detectorParams, dictionary);
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// detect markers
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vector<vector<Point2f> > corners;
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vector<int> ids;
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TEST_CYCLE() {
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detector.detectMarkers(image_map.first, corners, ids);
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}
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ASSERT_EQ(numMarkersInRow*numMarkersInRow, static_cast<int>(ids.size()));
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double maxDistance = getMaxDistance(image_map.second, ids, corners);
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ASSERT_LT(maxDistance, 3.);
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SANITY_CHECK_NOTHING();
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}
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struct Aruco3Params {
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bool useAruco3Detection = false;
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float minMarkerLengthRatioOriginalImg = 0.f;
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int minSideLengthCanonicalImg = 0;
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Aruco3Params(bool useAruco3, float minMarkerLen, int minSideLen): useAruco3Detection(useAruco3),
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minMarkerLengthRatioOriginalImg(minMarkerLen),
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minSideLengthCanonicalImg(minSideLen) {}
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friend std::ostream& operator<<(std::ostream& os, const Aruco3Params& d) {
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os << d.useAruco3Detection << " " << d.minMarkerLengthRatioOriginalImg << " " << d.minSideLengthCanonicalImg;
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return os;
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}
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};
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typedef tuple<Aruco3Params, pair<int, int>> ArucoTestParams;
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typedef TestBaseWithParam<ArucoTestParams> EstimateLargeAruco;
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#define ESTIMATE_FHD_PARAMS Combine(Values(Aruco3Params(false, 0.f, 0), Aruco3Params(true, 0.f, 32), \
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Aruco3Params(true, 0.015f, 32), Aruco3Params(true, 0.f, 16), Aruco3Params(true, 0.0069f, 16)), \
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Values(std::make_pair(1440, 1), std::make_pair(480, 3), std::make_pair(144, 10)))
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PERF_TEST_P(EstimateLargeAruco, ArucoFHD, ESTIMATE_FHD_PARAMS) {
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ArucoTestParams testParams = GetParam();
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aruco::Dictionary dictionary = aruco::getPredefinedDictionary(aruco::DICT_6X6_250);
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aruco::DetectorParameters detectorParams;
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detectorParams.minDistanceToBorder = 1;
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detectorParams.markerBorderBits = 1;
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detectorParams.cornerRefinementMethod = (int)cv::aruco::CORNER_REFINE_SUBPIX;
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Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect
merge with https://github.com/opencv/opencv_contrib/pull/3394
move Charuco API from contrib to main repo:
- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds,
OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
OutputArray _diamondIds) const
```
- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2 years ago
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//USE_ARUCO3
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detectorParams.useAruco3Detection = get<0>(testParams).useAruco3Detection;
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if (detectorParams.useAruco3Detection) {
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detectorParams.minSideLengthCanonicalImg = get<0>(testParams).minSideLengthCanonicalImg;
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detectorParams.minMarkerLengthRatioOriginalImg = get<0>(testParams).minMarkerLengthRatioOriginalImg;
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}
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aruco::ArucoDetector detector(dictionary, detectorParams);
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const int markerSize = get<1>(testParams).first; // 1440 or 480 or 144
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const int numMarkersInRow = get<1>(testParams).second; // 1 or 3 or 144
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MarkerPainter painter(markerSize); // num pixels is 1440x1440 as in FHD 1920x1080
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auto image_map = painter.getProjectMarkersTile(numMarkersInRow, detectorParams, dictionary);
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// detect markers
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vector<vector<Point2f> > corners;
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vector<int> ids;
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TEST_CYCLE()
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{
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detector.detectMarkers(image_map.first, corners, ids);
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}
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ASSERT_EQ(numMarkersInRow*numMarkersInRow, static_cast<int>(ids.size()));
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double maxDistance = getMaxDistance(image_map.second, ids, corners);
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ASSERT_LT(maxDistance, 3.);
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SANITY_CHECK_NOTHING();
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}
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}
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