opencv/apps/interactive-calibration/frameProcessor.hpp
Alexander Panov 121034876d
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
2022-12-28 17:28:59 +03:00

105 lines
3.0 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef FRAME_PROCESSOR_HPP
#define FRAME_PROCESSOR_HPP
#include <opencv2/core.hpp>
#include <opencv2/calib3d.hpp>
#include <opencv2/objdetect.hpp>
#include "calibCommon.hpp"
#include "calibController.hpp"
namespace calib
{
class FrameProcessor
{
protected:
public:
virtual ~FrameProcessor();
virtual cv::Mat processFrame(const cv::Mat& frame) = 0;
virtual bool isProcessed() const = 0;
virtual void resetState() = 0;
};
class CalibProcessor : public FrameProcessor
{
protected:
cv::Ptr<calibrationData> mCalibData;
TemplateType mBoardType;
cv::Size mBoardSize;
std::vector<cv::Point2f> mTemplateLocations;
std::vector<cv::Point2f> mCurrentImagePoints;
cv::Mat mCurrentCharucoCorners;
cv::Mat mCurrentCharucoIds;
cv::Ptr<cv::SimpleBlobDetector> mBlobDetectorPtr;
cv::aruco::Dictionary mArucoDictionary;
cv::Ptr<cv::aruco::CharucoBoard> mCharucoBoard;
cv::Ptr<cv::aruco::CharucoDetector> detector;
int mNeededFramesNum;
unsigned mDelayBetweenCaptures;
int mCapuredFrames;
double mMaxTemplateOffset;
float mSquareSize;
float mTemplDist;
bool mSaveFrames;
float mZoom;
bool detectAndParseChessboard(const cv::Mat& frame);
bool detectAndParseChAruco(const cv::Mat& frame);
bool detectAndParseCircles(const cv::Mat& frame);
bool detectAndParseACircles(const cv::Mat& frame);
bool detectAndParseDualACircles(const cv::Mat& frame);
void saveFrameData();
void showCaptureMessage(const cv::Mat &frame, const std::string& message);
bool checkLastFrame();
public:
CalibProcessor(cv::Ptr<calibrationData> data, captureParameters& capParams);
virtual cv::Mat processFrame(const cv::Mat& frame) CV_OVERRIDE;
virtual bool isProcessed() const CV_OVERRIDE;
virtual void resetState() CV_OVERRIDE;
~CalibProcessor() CV_OVERRIDE;
};
enum visualisationMode {Grid, Window};
class ShowProcessor : public FrameProcessor
{
protected:
cv::Ptr<calibrationData> mCalibdata;
cv::Ptr<calibController> mController;
TemplateType mBoardType;
visualisationMode mVisMode;
bool mNeedUndistort;
double mGridViewScale;
double mTextSize;
void drawBoard(cv::Mat& img, cv::InputArray points);
void drawGridPoints(const cv::Mat& frame);
public:
ShowProcessor(cv::Ptr<calibrationData> data, cv::Ptr<calibController> controller, TemplateType board);
virtual cv::Mat processFrame(const cv::Mat& frame) CV_OVERRIDE;
virtual bool isProcessed() const CV_OVERRIDE;
virtual void resetState() CV_OVERRIDE;
void setVisualizationMode(visualisationMode mode);
void switchVisualizationMode();
void clearBoardsView();
void updateBoardsView();
void switchUndistort();
void setUndistort(bool isEnabled);
~ShowProcessor() CV_OVERRIDE;
};
}
#endif