Regen docs

docs/alphamat.rs

@@ -1,24 +1,24 @@
 pub mod alphamat {
 	//! # Alpha Matting
 	//! Alpha matting is used to extract a foreground object with soft boundaries from a background image.
-	//! 
+	//!
 	//! 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.
-	//! 
-	//! The implementation is based on [aksoy2017designing](https://docs.opencv.org/4.9.0/d0/de3/citelist.html#CITEREF_aksoy2017designing).
-	//! 
+	//!
+	//! The implementation is based on [aksoy2017designing](https://docs.opencv.org/4.10.0/d0/de3/citelist.html#CITEREF_aksoy2017designing).
+	//!
 	//! This module was developed by Muskaan Kularia and Sunita Nayak as a project
 	//! for Google Summer of Code 2019 (GSoC 19).
 	use crate::{mod_prelude::*, core, sys, types};
 	pub mod prelude {
 		pub use {  };
 	}
-	
+
 	/// Compute alpha matte of an object in an image
 	/// ## Parameters
 	/// * image: Input RGB image
 	/// * tmap: Input greyscale trimap image
 	/// * result: Output alpha matte image
-	/// 
+	///
 	/// 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.
 	#[inline]
 	pub fn info_flow(image: &impl ToInputArray, tmap: &impl ToInputArray, result: &mut impl ToOutputArray) -> Result<()> {