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mirror of https://github.com/opencv/opencv.git synced 2026-07-31 00:03:03 +04:00

Merge branch 4.x

This commit is contained in:
Alexander Smorkalov
2023-07-12 13:42:01 +03:00
128 changed files with 9936 additions and 932 deletions
+56 -64
View File
@@ -45,6 +45,8 @@
#define OPENCV_OBJDETECT_HPP
#include "opencv2/core.hpp"
#include "opencv2/objdetect/aruco_detector.hpp"
#include "opencv2/objdetect/graphical_code_detector.hpp"
/**
@defgroup objdetect Object Detection
@@ -101,6 +103,7 @@ using a Boosted Cascade of Simple Features. IEEE CVPR, 2001. The paper is availa
<https://github.com/SvHey/thesis/blob/master/Literature/ObjectDetection/violaJones_CVPR2001.pdf>
@defgroup objdetect_hog HOG (Histogram of Oriented Gradients) descriptor and object detector
@defgroup objdetect_barcode Barcode detection and decoding
@defgroup objdetect_qrcode QRCode detection and encoding
@defgroup objdetect_dnn_face DNN-based face detection and recognition
Check @ref tutorial_dnn_face "the corresponding tutorial" for more details.
@@ -753,44 +756,27 @@ public:
CV_WRAP virtual void encodeStructuredAppend(const String& encoded_info, OutputArrayOfArrays qrcodes) = 0;
};
class CV_EXPORTS_W QRCodeDetector
class CV_EXPORTS_W_SIMPLE QRCodeDetector : public GraphicalCodeDetector
{
public:
CV_WRAP QRCodeDetector();
~QRCodeDetector();
/** @brief sets the epsilon used during the horizontal scan of QR code stop marker detection.
@param epsX Epsilon neighborhood, which allows you to determine the horizontal pattern
of the scheme 1:1:3:1:1 according to QR code standard.
*/
CV_WRAP void setEpsX(double epsX);
CV_WRAP QRCodeDetector& setEpsX(double epsX);
/** @brief sets the epsilon used during the vertical scan of QR code stop marker detection.
@param epsY Epsilon neighborhood, which allows you to determine the vertical pattern
of the scheme 1:1:3:1:1 according to QR code standard.
*/
CV_WRAP void setEpsY(double epsY);
CV_WRAP QRCodeDetector& setEpsY(double epsY);
/** @brief use markers to improve the position of the corners of the QR code
*
* alignmentMarkers using by default
*/
CV_WRAP void setUseAlignmentMarkers(bool useAlignmentMarkers);
/** @brief Detects QR code in image and returns the quadrangle containing the code.
@param img grayscale or color (BGR) image containing (or not) QR code.
@param points Output vector of vertices of the minimum-area quadrangle containing the code.
*/
CV_WRAP bool detect(InputArray img, OutputArray points) const;
/** @brief Decodes QR code in image once it's found by the detect() method.
Returns UTF8-encoded output string or empty string if the code cannot be decoded.
@param img grayscale or color (BGR) image containing QR code.
@param points Quadrangle vertices found by detect() method (or some other algorithm).
@param straight_qrcode The optional output image containing rectified and binarized QR code
*/
CV_WRAP std::string decode(InputArray img, InputArray points, OutputArray straight_qrcode = noArray());
CV_WRAP QRCodeDetector& setUseAlignmentMarkers(bool useAlignmentMarkers);
/** @brief Decodes QR code on a curved surface in image once it's found by the detect() method.
@@ -801,15 +787,6 @@ public:
*/
CV_WRAP cv::String decodeCurved(InputArray img, InputArray points, OutputArray straight_qrcode = noArray());
/** @brief Both detects and decodes QR code
@param img grayscale or color (BGR) image containing QR code.
@param points optional output array of vertices of the found QR code quadrangle. Will be empty if not found.
@param straight_qrcode The optional output image containing rectified and binarized QR code
*/
CV_WRAP std::string detectAndDecode(InputArray img, OutputArray points=noArray(),
OutputArray straight_qrcode = noArray());
/** @brief Both detects and decodes QR code on a curved surface
@param img grayscale or color (BGR) image containing QR code.
@@ -818,43 +795,58 @@ public:
*/
CV_WRAP std::string detectAndDecodeCurved(InputArray img, OutputArray points=noArray(),
OutputArray straight_qrcode = noArray());
};
/** @brief Detects QR codes in image and returns the vector of the quadrangles containing the codes.
@param img grayscale or color (BGR) image containing (or not) QR codes.
@param points Output vector of vector of vertices of the minimum-area quadrangle containing the codes.
*/
CV_WRAP
bool detectMulti(InputArray img, OutputArray points) const;
class CV_EXPORTS_W_SIMPLE QRCodeDetectorAruco : public GraphicalCodeDetector {
public:
CV_WRAP QRCodeDetectorAruco();
/** @brief Decodes QR codes in image once it's found by the detect() method.
@param img grayscale or color (BGR) image containing QR codes.
@param decoded_info UTF8-encoded output vector of string or empty vector of string if the codes cannot be decoded.
@param points vector of Quadrangle vertices found by detect() method (or some other algorithm).
@param straight_qrcode The optional output vector of images containing rectified and binarized QR codes
*/
CV_WRAP
bool decodeMulti(
InputArray img, InputArray points,
CV_OUT std::vector<std::string>& decoded_info,
OutputArrayOfArrays straight_qrcode = noArray()
) const;
struct CV_EXPORTS_W_SIMPLE Params {
CV_WRAP Params();
/** @brief Both detects and decodes QR codes
@param img grayscale or color (BGR) image containing QR codes.
@param decoded_info UTF8-encoded output vector of string or empty vector of string if the codes cannot be decoded.
@param points optional output vector of vertices of the found QR code quadrangles. Will be empty if not found.
@param straight_qrcode The optional output vector of images containing rectified and binarized QR codes
*/
CV_WRAP
bool detectAndDecodeMulti(
InputArray img, CV_OUT std::vector<std::string>& decoded_info,
OutputArray points = noArray(),
OutputArrayOfArrays straight_qrcode = noArray()
) const;
/** @brief The minimum allowed pixel size of a QR module in the smallest image in the image pyramid, default 4.f */
CV_PROP_RW float minModuleSizeInPyramid;
protected:
struct Impl;
Ptr<Impl> p;
/** @brief The maximum allowed relative rotation for finder patterns in the same QR code, default pi/12 */
CV_PROP_RW float maxRotation;
/** @brief The maximum allowed relative mismatch in module sizes for finder patterns in the same QR code, default 1.75f */
CV_PROP_RW float maxModuleSizeMismatch;
/** @brief The maximum allowed module relative mismatch for timing pattern module, default 2.f
*
* If relative mismatch of timing pattern module more this value, penalty points will be added.
* If a lot of penalty points are added, QR code will be rejected. */
CV_PROP_RW float maxTimingPatternMismatch;
/** @brief The maximum allowed percentage of penalty points out of total pins in timing pattern, default 0.4f */
CV_PROP_RW float maxPenalties;
/** @brief The maximum allowed relative color mismatch in the timing pattern, default 0.2f*/
CV_PROP_RW float maxColorsMismatch;
/** @brief The algorithm find QR codes with almost minimum timing pattern score and minimum size, default 0.9f
*
* The QR code with the minimum "timing pattern score" and minimum "size" is selected as the best QR code.
* If for the current QR code "timing pattern score" * scaleTimingPatternScore < "previous timing pattern score" and "size" < "previous size", then
* current QR code set as the best QR code. */
CV_PROP_RW float scaleTimingPatternScore;
};
/** @brief QR code detector constructor for Aruco-based algorithm. See cv::QRCodeDetectorAruco::Params */
CV_WRAP explicit QRCodeDetectorAruco(const QRCodeDetectorAruco::Params& params);
/** @brief Detector parameters getter. See cv::QRCodeDetectorAruco::Params */
CV_WRAP const QRCodeDetectorAruco::Params& getDetectorParameters() const;
/** @brief Detector parameters setter. See cv::QRCodeDetectorAruco::Params */
CV_WRAP QRCodeDetectorAruco& setDetectorParameters(const QRCodeDetectorAruco::Params& params);
/** @brief Aruco detector parameters are used to search for the finder patterns. */
CV_WRAP aruco::DetectorParameters getArucoParameters();
/** @brief Aruco detector parameters are used to search for the finder patterns. */
CV_WRAP void setArucoParameters(const aruco::DetectorParameters& params);
};
//! @}
@@ -862,7 +854,7 @@ protected:
#include "opencv2/objdetect/detection_based_tracker.hpp"
#include "opencv2/objdetect/face.hpp"
#include "opencv2/objdetect/aruco_detector.hpp"
#include "opencv2/objdetect/charuco_detector.hpp"
#include "opencv2/objdetect/barcode.hpp"
#endif