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Alexander Smorkalov 40ddc700aa Merge pull request #29230 from asmorkalov:as/move_undistort
Inverted imgproc-geometry dependency and moved more functions to geometry #29230

Fixes: https://github.com/opencv/opencv/issues/20267
Continues: https://github.com/opencv/opencv/pull/29175

OpenCV Contrib: https://github.com/opencv/opencv_contrib/pull/4137
OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1377

Summary:
- LSD returned back to imgproc
- drawing functions moved to imgproc
- undistort image and related perf-pixel functions moved to imgproc
- moments moved to geometry
- estimateXXXtransform moved to geometry

After the patch the geometry module depends on code and Flann and may be used everywhere without potential circular dependencies

### 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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-06-05 10:13:45 +03:00

147 lines
5.3 KiB
C++

#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
//! [charucohdr]
#include <opencv2/objdetect/charuco_detector.hpp>
//! [charucohdr]
#include <vector>
#include <iostream>
#include "aruco_samples_utility.hpp"
using namespace std;
using namespace cv;
namespace {
const char* about = "Pose estimation using a ChArUco board";
const char* keys =
"{w | | Number of squares in X direction }"
"{h | | Number of squares in Y direction }"
"{sl | | Square side length (in meters) }"
"{ml | | Marker side length (in meters) }"
"{d | | dictionary: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2,"
"DICT_4X4_1000=3, DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, "
"DICT_6X6_50=8, DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12,"
"DICT_7X7_100=13, DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL=16,"
"DICT_APRILTAG_16h5=17, DICT_APRILTAG_25h9=18, DICT_APRILTAG_36h10=19, DICT_APRILTAG_36h11=20, DICT_ARUCO_MIP_36h12=21}"
"{cd | | Input file with custom dictionary }"
"{c | | Output file with calibrated camera parameters }"
"{v | | Input from video or image file, if ommited, input comes from camera }"
"{ci | 0 | Camera id if input doesnt come from video (-v) }"
"{dp | | File of marker detector parameters }"
"{rs | | Apply refind strategy }";
}
int main(int argc, char *argv[]) {
CommandLineParser parser(argc, argv, keys);
parser.about(about);
if(argc < 6) {
parser.printMessage();
return 0;
}
//! [charuco_detect_board_full_sample]
int squaresX = parser.get<int>("w");
int squaresY = parser.get<int>("h");
float squareLength = parser.get<float>("sl");
float markerLength = parser.get<float>("ml");
bool refine = parser.has("rs");
int camId = parser.get<int>("ci");
string video;
if(parser.has("v")) {
video = parser.get<string>("v");
}
Mat camMatrix, distCoeffs;
readCameraParamsFromCommandLine(parser, camMatrix, distCoeffs);
aruco::DetectorParameters detectorParams = readDetectorParamsFromCommandLine(parser);
aruco::Dictionary dictionary = readDictionatyFromCommandLine(parser);
if(!parser.check()) {
parser.printErrors();
return 0;
}
VideoCapture inputVideo;
int waitTime = 0;
if(!video.empty()) {
inputVideo.open(video);
} else {
inputVideo.open(camId);
waitTime = 10;
}
float axisLength = 0.5f * ((float)min(squaresX, squaresY) * (squareLength));
// create charuco board object
aruco::CharucoBoard charucoBoard(Size(squaresX, squaresY), squareLength, markerLength, dictionary);
// create charuco detector
aruco::CharucoParameters charucoParams;
charucoParams.tryRefineMarkers = refine; // if tryRefineMarkers, refineDetectedMarkers() will be used in detectBoard()
charucoParams.cameraMatrix = camMatrix; // cameraMatrix can be used in detectBoard()
charucoParams.distCoeffs = distCoeffs; // distCoeffs can be used in detectBoard()
aruco::CharucoDetector charucoDetector(charucoBoard, charucoParams, detectorParams);
double totalTime = 0;
int totalIterations = 0;
while(inputVideo.grab()) {
//! [inputImg]
Mat image, imageCopy;
inputVideo.retrieve(image);
//! [inputImg]
double tick = (double)getTickCount();
vector<int> markerIds, charucoIds;
vector<vector<Point2f> > markerCorners;
vector<Point2f> charucoCorners;
Vec3d rvec, tvec;
//! [interpolateCornersCharuco]
// detect markers and charuco corners
charucoDetector.detectBoard(image, charucoCorners, charucoIds, markerCorners, markerIds);
//! [interpolateCornersCharuco]
//! [poseCharuco]
// estimate charuco board pose
bool validPose = false;
if(camMatrix.total() != 0 && distCoeffs.total() != 0 && charucoIds.size() >= 4) {
Mat objPoints, imgPoints;
charucoBoard.matchImagePoints(charucoCorners, charucoIds, objPoints, imgPoints);
validPose = solvePnP(objPoints, imgPoints, camMatrix, distCoeffs, rvec, tvec);
}
//! [poseCharuco]
double currentTime = ((double)getTickCount() - tick) / getTickFrequency();
totalTime += currentTime;
totalIterations++;
if(totalIterations % 30 == 0) {
cout << "Detection Time = " << currentTime * 1000 << " ms "
<< "(Mean = " << 1000 * totalTime / double(totalIterations) << " ms)" << endl;
}
// draw results
image.copyTo(imageCopy);
if(markerIds.size() > 0) {
aruco::drawDetectedMarkers(imageCopy, markerCorners);
}
if(charucoIds.size() > 0) {
//! [drawDetectedCornersCharuco]
aruco::drawDetectedCornersCharuco(imageCopy, charucoCorners, charucoIds, cv::Scalar(255, 0, 0));
//! [drawDetectedCornersCharuco]
}
if(validPose)
cv::drawFrameAxes(imageCopy, camMatrix, distCoeffs, rvec, tvec, axisLength);
imshow("out", imageCopy);
if(waitKey(waitTime) == 27) break;
}
//! [charuco_detect_board_full_sample]
return 0;
}