Struct opencv::mcc::MCC_DetectorParameters

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pub struct MCC_DetectorParameters { /* private fields */ }
Expand description

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)

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Trait Implementations§

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impl Boxed for MCC_DetectorParameters

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unsafe fn from_raw( ptr: <MCC_DetectorParameters as OpenCVFromExtern>::ExternReceive ) -> Self

Wrap the specified raw pointer Read more
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fn into_raw( self ) -> <MCC_DetectorParameters as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper. Read more
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fn as_raw( &self ) -> <MCC_DetectorParameters as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer. Read more
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fn as_raw_mut( &mut self ) -> <MCC_DetectorParameters as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer Read more
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impl Debug for MCC_DetectorParameters

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Drop for MCC_DetectorParameters

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fn drop(&mut self)

Executes the destructor for this type. Read more
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impl MCC_DetectorParametersTrait for MCC_DetectorParameters

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impl MCC_DetectorParametersTraitConst for MCC_DetectorParameters

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impl Send for MCC_DetectorParameters

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impl<Mat> ModifyInplace for Mat
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unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res ) -> Res

Helper function to call OpenCV functions that allow in-place modification of a Mat or another similar object. By passing a mutable reference to the Mat to this function your closure will get called with the read reference and a write references to the same Mat. This is of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold. Read more
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type Error = <U as TryFrom<T>>::Error

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