Parameters for the detectMarker process:
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#include <opencv2/mcc/checker_detector.hpp>
Parameters for the detectMarker process:
- int adaptiveThreshWinSizeMin : minimum window size for adaptive thresholding before finding contours (default 23).
- int adaptiveThreshWinSizeMax : maximum window size for adaptive thresholding before finding contours (default 153).
- int adaptiveThreshWinSizeStep : increments from adaptiveThreshWinSizeMin to adaptiveThreshWinSizeMax during the thresholding (default 16).
- double adaptiveThreshConstant : constant for adaptive thresholding before finding contours (default 7)
- double minContoursAreaRate : determine minimum area for marker contour to be detected. This is defined as a rate respect to the area of the input image. Used only if neural network is used (default 0.003).
- double minContoursArea : determine minimum area for marker contour to be detected. This is defined as the actual area. Used only if neural network is not used (default 100).
- double confidenceThreshold : minimum confidence for a bounding box detected by neural network to classify as detection.(default 0.5) (0<=confidenceThreshold<=1)
- double minContourSolidity : minimum solidity of a contour for it be detected as a square in the chart. (default 0.9).
- double findCandidatesApproxPolyDPEpsMultiplier : multipler to be used in cv::ApproxPolyDP function (default 0.05)
- int borderWidth : width of the padding used to pass the inital neural network detection in the succeeding system.(default 0)
- float B0factor : distance between two neighbours squares of the same chart. Defined as the ratio between distance and large dimension of square (default 1.25)
- float maxError : maximum allowed error in the detection of a chart. default(0.1)
- int minContourPointsAllowed : minium points in a detected contour. default(4)
- int minContourLengthAllowed : minimum length of a countour. default(100)
- int minInterContourDistance : minimum distance between two contours. default(100)
- int minInterCheckerDistance : minimum distance between two checkers. default(10000)
- int minImageSize : minimum size of the smaller dimension of the image. default(1000)
- unsigned minGroupSize : minimum number of a squared of a chart that must be detected. default(4)
◆ DetectorParameters()
| cv::mcc::DetectorParameters::DetectorParameters |
( |
| ) |
|
◆ create()
◆ adaptiveThreshConstant
| double cv::mcc::DetectorParameters::adaptiveThreshConstant |
◆ adaptiveThreshWinSizeMax
| int cv::mcc::DetectorParameters::adaptiveThreshWinSizeMax |
◆ adaptiveThreshWinSizeMin
| int cv::mcc::DetectorParameters::adaptiveThreshWinSizeMin |
◆ adaptiveThreshWinSizeStep
| int cv::mcc::DetectorParameters::adaptiveThreshWinSizeStep |
◆ B0factor
| float cv::mcc::DetectorParameters::B0factor |
◆ borderWidth
| int cv::mcc::DetectorParameters::borderWidth |
◆ confidenceThreshold
| double cv::mcc::DetectorParameters::confidenceThreshold |
◆ findCandidatesApproxPolyDPEpsMultiplier
| double cv::mcc::DetectorParameters::findCandidatesApproxPolyDPEpsMultiplier |
◆ maxError
| float cv::mcc::DetectorParameters::maxError |
◆ minContourLengthAllowed
| int cv::mcc::DetectorParameters::minContourLengthAllowed |
◆ minContourPointsAllowed
| int cv::mcc::DetectorParameters::minContourPointsAllowed |
◆ minContoursArea
| double cv::mcc::DetectorParameters::minContoursArea |
◆ minContoursAreaRate
| double cv::mcc::DetectorParameters::minContoursAreaRate |
◆ minContourSolidity
| double cv::mcc::DetectorParameters::minContourSolidity |
◆ minGroupSize
| unsigned cv::mcc::DetectorParameters::minGroupSize |
◆ minImageSize
| int cv::mcc::DetectorParameters::minImageSize |
◆ minInterCheckerDistance
| int cv::mcc::DetectorParameters::minInterCheckerDistance |
◆ minInterContourDistance
| int cv::mcc::DetectorParameters::minInterContourDistance |
The documentation for this struct was generated from the following file:
1.15.0