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Copy file name to clipboardExpand all lines: docs/alphamat.rs
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@@ -4,7 +4,7 @@ pub mod alphamat {
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//!
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//! This module is dedicated to computing alpha matte of objects in images from a given input image and a greyscale trimap image that contains information about the foreground, background and unknown pixels. The unknown pixels are assumed to be a combination of foreground and background pixels. The algorithm uses a combination of multiple carefully defined pixels affinities to estimate the opacity of the foreground pixels in the unkown region.
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//!
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//! The implementation is based on [aksoy2017designing](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_aksoy2017designing).
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//! The implementation is based on [aksoy2017designing](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_aksoy2017designing).
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//!
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//! This module was developed by Muskaan Kularia and Sunita Nayak as a project
Copy file name to clipboardExpand all lines: docs/bgsegm.rs
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/// Creates an instance of BackgroundSubtractorLSBP algorithm.
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///
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/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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///
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/// ## Parameters
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/// * mc: Whether to use camera motion compensation.
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/// * nSamples: Number of samples to maintain at each point of the frame.
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/// * LSBPRadius: LSBP descriptor radius.
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/// * Tlower: Lower bound for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tupper: Upper bound for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tinc: Increase step for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tdec: Decrease step for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tlower: Lower bound for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tupper: Upper bound for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tinc: Increase step for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tdec: Decrease step for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Rscale: Scale coefficient for threshold values.
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/// * Rincdec: Increase/Decrease step for threshold values.
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/// * noiseRemovalThresholdFacBG: Strength of the noise removal for background points.
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/// Creates an instance of BackgroundSubtractorLSBP algorithm.
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///
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/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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///
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/// ## Parameters
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/// * mc: Whether to use camera motion compensation.
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/// * nSamples: Number of samples to maintain at each point of the frame.
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/// * LSBPRadius: LSBP descriptor radius.
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/// * Tlower: Lower bound for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tupper: Upper bound for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tinc: Increase step for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tdec: Decrease step for T-values. See [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tlower: Lower bound for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tupper: Upper bound for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tinc: Increase step for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Tdec: Decrease step for T-values. See [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
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/// * Rscale: Scale coefficient for threshold values.
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/// * Rincdec: Increase/Decrease step for threshold values.
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/// * noiseRemovalThresholdFacBG: Strength of the noise removal for background points.
/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.12.0/d0/de3/citelist.html#CITEREF_LGuo2016)
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