Parameters for the detectMarker process:
[詳解]
#include <checker_detector.hpp>
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CV_PROP_RW int | adaptiveThreshWinSizeMin |
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CV_PROP_RW int | adaptiveThreshWinSizeMax |
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CV_PROP_RW int | adaptiveThreshWinSizeStep |
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CV_PROP_RW double | adaptiveThreshConstant |
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CV_PROP_RW double | minContoursAreaRate |
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CV_PROP_RW double | minContoursArea |
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CV_PROP_RW double | confidenceThreshold |
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CV_PROP_RW double | minContourSolidity |
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CV_PROP_RW double | findCandidatesApproxPolyDPEpsMultiplier |
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CV_PROP_RW int | borderWidth |
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CV_PROP_RW float | B0factor |
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CV_PROP_RW float | maxError |
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CV_PROP_RW int | minContourPointsAllowed |
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CV_PROP_RW int | minContourLengthAllowed |
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CV_PROP_RW int | minInterContourDistance |
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CV_PROP_RW int | minInterCheckerDistance |
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CV_PROP_RW int | minImageSize |
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CV_PROP_RW unsigned | minGroupSize |
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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)
この構造体詳解は次のファイルから抽出されました:
