Struct 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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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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fn borrow_mut(&mut self) -> &mut T

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fn from(t: T) -> T

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fn into(self) -> U

Calls U::from(self).

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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 unsafe in a general case as it leads to having non-exclusive mutable access to the internal data, but it can 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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