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docs/alphamat.rs

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pub mod alphamat {
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//! # Alpha Matting
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//! Alpha matting is used to extract a foreground object with soft boundaries from a background image.
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//!
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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/4.9.0/d0/de3/citelist.html#CITEREF_aksoy2017designing).
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//!
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//!
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//! The implementation is based on [aksoy2017designing](https://docs.opencv.org/4.10.0/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
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//! for Google Summer of Code 2019 (GSoC 19).
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use crate::{mod_prelude::*, core, sys, types};
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pub mod prelude {
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pub use { };
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}
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/// Compute alpha matte of an object in an image
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/// ## Parameters
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/// * image: Input RGB image
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/// * tmap: Input greyscale trimap image
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/// * result: Output alpha matte image
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///
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///
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/// The function infoFlow performs alpha matting on a RGB image using a greyscale trimap image, and outputs a greyscale alpha matte image. The output alpha matte can be used to softly extract the foreground object from a background image. Examples can be found in the samples directory.
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#[inline]
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pub fn info_flow(image: &impl ToInputArray, tmap: &impl ToInputArray, result: &mut impl ToOutputArray) -> Result<()> {

docs/aruco.rs

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