| ArucoDetector |
The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method.
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| BarcodeDetector |
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| BaseCascadeClassifier |
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| Board |
Board of ArUco markers
A board is a set of markers in the 3D space with a common coordinate system.
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| CascadeClassifier |
Cascade classifier class for object detection.
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| CharucoBoard |
ChArUco board is a planar chessboard where the markers are placed inside the white squares of a chessboard.
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| CharucoDetector |
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| CharucoParameters |
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| DetectorParameters |
struct DetectorParameters is used by ArucoDetector
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| Dictionary |
Dictionary is a set of unique ArUco markers of the same size
bytesList storing as 2-dimensions Mat with 4-th channels (CV_8UC4 type was used) and contains the marker codewords where:
- bytesList.rows is the dictionary size
- each marker is encoded using nbytes = ceil(markerSize*markerSize/8.) bytes
- each row contains all 4 rotations of the marker, so its length is 4*nbytes
- the byte order in the bytesList[i] row:
//bytes without rotation/bytes with rotation 1/bytes with rotation 2/bytes with rotation 3//
So bytesList.ptr(i)[k*nbytes + j] is the j-th byte of i-th marker, in its k-th rotation.
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| FaceDetectorYN |
DNN-based face detector
model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet
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| FaceRecognizerSF |
DNN-based face recognizer
model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
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| GraphicalCodeDetector |
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| GridBoard |
Planar board with grid arrangement of markers
More common type of board.
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| HOGDescriptor |
Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector.
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| Objdetect |
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| QRCodeDetector |
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| QRCodeDetectorAruco |
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| QRCodeDetectorAruco_Params |
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| QRCodeEncoder |
Groups the object candidate rectangles.
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| QRCodeEncoder_Params |
QR code encoder parameters.
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| RefineParameters |
struct RefineParameters is used by ArucoDetector
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