opencv 0.94.4

pub mod stereo {
	//! # Stereo Correspondance Algorithms
	use crate::mod_prelude::*;
	use crate::{core, sys, types};
	pub mod prelude {
		pub use super::{QuasiDenseStereoTrait, QuasiDenseStereoTraitConst};
	}

	pub const CV_CS_CENSUS: i32 = 2;
	pub const CV_DENSE_CENSUS: i32 = 0;
	pub const CV_MEAN_VARIATION: i32 = 5;
	pub const CV_MODIFIED_CENSUS_TRANSFORM: i32 = 4;
	pub const CV_MODIFIED_CS_CENSUS: i32 = 3;
	pub const CV_QUADRATIC_INTERPOLATION: i32 = 0;
	pub const CV_SIMETRICV_INTERPOLATION: i32 = 1;
	pub const CV_SPARSE_CENSUS: i32 = 1;
	pub const CV_SPECKLE_REMOVAL_ALGORITHM: i32 = 0;
	pub const CV_SPECKLE_REMOVAL_AVG_ALGORITHM: i32 = 1;
	pub const CV_STAR_KERNEL: i32 = 6;
	/// Two variations of census applied on input images
	/// Implementation of a census transform which is taking into account just the some pixels from the census kernel thus allowing for larger block sizes
	///*
	#[inline]
	pub fn census_transform(image1: &impl core::MatTraitConst, image2: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, dist2: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_censusTransform_const_MatR_const_MatR_int_MatR_MatR_const_int(image1.as_raw_Mat(), image2.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), dist2.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// single image census transform
	#[inline]
	pub fn census_transform_1(image1: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_censusTransform_const_MatR_int_MatR_const_int(image1.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison
	/// MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel
	/// *
	///
	/// ## Note
	/// This alternative version of [modified_census_transform] function uses the following default values for its arguments:
	/// * t: 0
	/// * integral_image1: Mat()
	/// * integral_image2: Mat()
	#[inline]
	pub fn modified_census_transform_def(img1: &impl core::MatTraitConst, img2: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, dist2: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_modifiedCensusTransform_const_MatR_const_MatR_int_MatR_MatR_const_int(img1.as_raw_Mat(), img2.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), dist2.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison
	/// MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel
	/// *
	///
	/// ## C++ default parameters
	/// * t: 0
	/// * integral_image1: Mat()
	/// * integral_image2: Mat()
	#[inline]
	pub fn modified_census_transform(img1: &impl core::MatTraitConst, img2: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, dist2: &mut impl core::MatTrait, typ: i32, t: i32, integral_image1: &impl core::MatTraitConst, integral_image2: &impl core::MatTraitConst) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_modifiedCensusTransform_const_MatR_const_MatR_int_MatR_MatR_const_int_int_const_MatR_const_MatR(img1.as_raw_Mat(), img2.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), dist2.as_raw_mut_Mat(), typ, t, integral_image1.as_raw_Mat(), integral_image2.as_raw_Mat(), ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// single version of modified census transform descriptor
	///
	/// ## Note
	/// This alternative version of [modified_census_transform_1] function uses the following default values for its arguments:
	/// * t: 0
	/// * integral_image: Mat()
	#[inline]
	pub fn modified_census_transform_1_def(img1: &impl core::MatTraitConst, kernel_size: i32, dist: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_modifiedCensusTransform_const_MatR_int_MatR_const_int(img1.as_raw_Mat(), kernel_size, dist.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// single version of modified census transform descriptor
	///
	/// ## C++ default parameters
	/// * t: 0
	/// * integral_image: Mat()
	#[inline]
	pub fn modified_census_transform_1(img1: &impl core::MatTraitConst, kernel_size: i32, dist: &mut impl core::MatTrait, typ: i32, t: i32, integral_image: &impl core::MatTraitConst) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_modifiedCensusTransform_const_MatR_int_MatR_const_int_int_const_MatR(img1.as_raw_Mat(), kernel_size, dist.as_raw_mut_Mat(), typ, t, integral_image.as_raw_Mat(), ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// in a 9x9 kernel only certain positions are choosen
	#[inline]
	pub fn star_census_transform(img1: &impl core::MatTraitConst, img2: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, dist2: &mut impl core::MatTrait) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_starCensusTransform_const_MatR_const_MatR_int_MatR_MatR(img1.as_raw_Mat(), img2.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), dist2.as_raw_mut_Mat(), ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// single image version of star kernel
	#[inline]
	pub fn star_census_transform_1(img1: &impl core::MatTraitConst, kernel_size: i32, dist: &mut impl core::MatTrait) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_starCensusTransform_const_MatR_int_MatR(img1.as_raw_Mat(), kernel_size, dist.as_raw_mut_Mat(), ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// The classical center symetric census
	/// A modified version of cs census which is comparing a pixel with its correspondent after the center
	///*
	#[inline]
	pub fn symetric_census_transform(img1: &impl core::MatTraitConst, img2: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, dist2: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_symetricCensusTransform_const_MatR_const_MatR_int_MatR_MatR_const_int(img1.as_raw_Mat(), img2.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), dist2.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// single version of census transform
	#[inline]
	pub fn symetric_census_transform_1(img1: &impl core::MatTraitConst, kernel_size: i32, dist1: &mut impl core::MatTrait, typ: i32) -> Result<()> {
		return_send!(via ocvrs_return);
		unsafe { sys::cv_stereo_symetricCensusTransform_const_MatR_int_MatR_const_int(img1.as_raw_Mat(), kernel_size, dist1.as_raw_mut_Mat(), typ, ocvrs_return.as_mut_ptr()) };
		return_receive!(ocvrs_return => ret);
		let ret = ret.into_result()?;
		Ok(ret)
	}

	/// \addtogroup stereo
	#[repr(C)]
	#[derive(Copy, Clone, Debug, PartialEq)]
	pub struct MatchQuasiDense {
		pub p0: core::Point2i,
		pub p1: core::Point2i,
		pub corr: f32,
	}

	opencv_type_simple! { crate::stereo::MatchQuasiDense }

	impl MatchQuasiDense {
		#[inline]
		pub fn apply(self, rhs: crate::stereo::MatchQuasiDense) -> Result<bool> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_MatchQuasiDense_operatorL_const_const_MatchQuasiDenseR(&self, &rhs, ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		#[inline]
		pub fn default() -> Result<crate::stereo::MatchQuasiDense> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_MatchQuasiDense_MatchQuasiDense(ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

	}

	#[repr(C)]
	#[derive(Copy, Clone, Debug, PartialEq)]
	pub struct PropagationParameters {
		pub corr_win_size_x: i32,
		pub corr_win_size_y: i32,
		pub border_x: i32,
		pub border_y: i32,
		pub correlation_threshold: f32,
		pub textrure_threshold: f32,
		pub neighborhood_size: i32,
		pub disparity_gradient: i32,
		pub lk_template_size: i32,
		pub lk_pyr_lvl: i32,
		pub lk_term_param1: i32,
		pub lk_term_param2: f32,
		pub gft_quality_thres: f32,
		pub gft_min_seperation_dist: i32,
		pub gft_max_num_features: i32,
	}

	opencv_type_simple! { crate::stereo::PropagationParameters }

	/// Class containing the methods needed for Quasi Dense Stereo computation.
	///
	/// This module contains the code to perform quasi dense stereo matching.
	/// The method initially starts with a sparse 3D reconstruction based on feature matching across a
	/// stereo image pair and subsequently propagates the structure into neighboring image regions.
	/// To obtain initial seed correspondences, the algorithm locates Shi and Tomashi features in the
	/// left image of the stereo pair and then tracks them using pyramidal Lucas-Kanade in the right image.
	/// To densify the sparse correspondences, the algorithm computes the zero-mean normalized
	/// cross-correlation (ZNCC) in small patches around every seed pair and uses it as a quality metric
	/// for each match. In this code, we introduce a custom structure to store the location and ZNCC value
	/// of correspondences called "Match". Seed Matches are stored in a priority queue sorted according to
	/// their ZNCC value, allowing for the best quality Match to be readily available. The algorithm pops
	/// Matches and uses them to extract new matches around them. This is done by considering a small
	/// neighboring area around each Seed and retrieving correspondences above a certain texture threshold
	/// that are not previously computed. New matches are stored in the seed priority queue and used as seeds.
	/// The propagation process ends when no additional matches can be retrieved.
	/// ## See also
	/// This code represents the work presented in [Stoyanov2010](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_Stoyanov2010).
	/// If this code is useful for your work please cite [Stoyanov2010](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_Stoyanov2010).
	///
	/// Also the original growing scheme idea is described in [Lhuillier2000](https://docs.opencv.org/4.11.0/d0/de3/citelist.html#CITEREF_Lhuillier2000)
	pub struct QuasiDenseStereo {
		ptr: *mut c_void,
	}

	opencv_type_boxed! { QuasiDenseStereo }

	impl Drop for QuasiDenseStereo {
		#[inline]
		fn drop(&mut self) {
			unsafe { sys::cv_stereo_QuasiDenseStereo_delete(self.as_raw_mut_QuasiDenseStereo()) };
		}
	}

	unsafe impl Send for QuasiDenseStereo {}

	impl QuasiDenseStereo {
		/// ## C++ default parameters
		/// * param_filepath: cv::String()
		#[inline]
		pub fn create(mono_img_size: core::Size, param_filepath: &str) -> Result<core::Ptr<crate::stereo::QuasiDenseStereo>> {
			extern_container_arg!(param_filepath);
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_create_Size_String(&mono_img_size, param_filepath.opencv_as_extern(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			let ret = unsafe { core::Ptr::<crate::stereo::QuasiDenseStereo>::opencv_from_extern(ret) };
			Ok(ret)
		}

		/// ## Note
		/// This alternative version of [QuasiDenseStereo::create] function uses the following default values for its arguments:
		/// * param_filepath: cv::String()
		#[inline]
		pub fn create_def(mono_img_size: core::Size) -> Result<core::Ptr<crate::stereo::QuasiDenseStereo>> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_create_Size(&mono_img_size, ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			let ret = unsafe { core::Ptr::<crate::stereo::QuasiDenseStereo>::opencv_from_extern(ret) };
			Ok(ret)
		}

	}

	/// Constant methods for [crate::stereo::QuasiDenseStereo]
	pub trait QuasiDenseStereoTraitConst {
		fn as_raw_QuasiDenseStereo(&self) -> *const c_void;

		#[inline]
		fn param(&self) -> crate::stereo::PropagationParameters {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_propParam_const(self.as_raw_QuasiDenseStereo(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			ret
		}

	}

	/// Mutable methods for [crate::stereo::QuasiDenseStereo]
	pub trait QuasiDenseStereoTrait: crate::stereo::QuasiDenseStereoTraitConst {
		fn as_raw_mut_QuasiDenseStereo(&mut self) -> *mut c_void;

		#[inline]
		fn set_param(&mut self, val: crate::stereo::PropagationParameters) {
			let ret = unsafe { sys::cv_stereo_QuasiDenseStereo_propParam_const_PropagationParameters(self.as_raw_mut_QuasiDenseStereo(), &val) };
			ret
		}

		/// Load a file containing the configuration parameters of the class.
		/// ## Parameters
		/// * filepath: The location of the .YAML file containing the configuration parameters.
		///
		/// Note: default value is an empty string in which case the default parameters will be loaded.
		/// @retval 1: If the path is not empty and the program loaded the parameters successfully.
		/// @retval 0: If the path is empty and the program loaded default parameters.
		/// @retval -1: If the file location is not valid or the program could not open the file and
		/// loaded default parameters from defaults.hpp.
		///
		/// Note: The method is automatically called in the constructor and configures the class.
		///
		/// Note: Loading different parameters will have an effect on the output. This is useful for tuning
		/// in case of video processing.
		/// ## See also
		/// loadParameters
		#[inline]
		fn load_parameters(&mut self, filepath: &str) -> Result<i32> {
			extern_container_arg!(filepath);
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_loadParameters_String(self.as_raw_mut_QuasiDenseStereo(), filepath.opencv_as_extern(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Save a file containing all the configuration parameters the class is currently set to.
		/// ## Parameters
		/// * filepath: The location to store the parameters file.
		///
		/// Note: Calling this method with no arguments will result in storing class parameters to a file
		/// names "qds_parameters.yaml" in the root project folder.
		///
		/// Note: This method can be used to generate a template file for tuning the class.
		/// ## See also
		/// loadParameters
		#[inline]
		fn save_parameters(&mut self, filepath: &str) -> Result<i32> {
			extern_container_arg!(filepath);
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_saveParameters_String(self.as_raw_mut_QuasiDenseStereo(), filepath.opencv_as_extern(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Get The sparse corresponding points.
		/// ## Parameters
		/// * sMatches:[out] A vector containing all sparse correspondences.
		///
		/// Note: The method clears the sMatches vector.
		///
		/// Note: The returned Match elements inside the sMatches vector, do not use corr member.
		#[inline]
		fn get_sparse_matches(&mut self, s_matches: &mut core::Vector<crate::stereo::MatchQuasiDense>) -> Result<()> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_getSparseMatches_vectorLMatchQuasiDenseGR(self.as_raw_mut_QuasiDenseStereo(), s_matches.as_raw_mut_VectorOfMatchQuasiDense(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Get The dense corresponding points.
		/// ## Parameters
		/// * denseMatches:[out] A vector containing all dense matches.
		///
		/// Note: The method clears the denseMatches vector.
		///
		/// Note: The returned Match elements inside the sMatches vector, do not use corr member.
		#[inline]
		fn get_dense_matches(&mut self, dense_matches: &mut core::Vector<crate::stereo::MatchQuasiDense>) -> Result<()> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_getDenseMatches_vectorLMatchQuasiDenseGR(self.as_raw_mut_QuasiDenseStereo(), dense_matches.as_raw_mut_VectorOfMatchQuasiDense(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Main process of the algorithm. This method computes the sparse seeds and then densifies them.
		///
		/// Initially input images are converted to gray-scale and then the sparseMatching method
		/// is called to obtain the sparse stereo. Finally quasiDenseMatching is called to densify the corresponding
		/// points.
		/// ## Parameters
		/// * imgLeft: The left Channel of a stereo image pair.
		/// * imgRight: The right Channel of a stereo image pair.
		///
		/// Note: If input images are in color, the method assumes that are BGR and converts them to grayscale.
		/// ## See also
		/// sparseMatching
		/// quasiDenseMatching
		#[inline]
		fn process(&mut self, img_left: &impl core::MatTraitConst, img_right: &impl core::MatTraitConst) -> Result<()> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_process_const_MatR_const_MatR(self.as_raw_mut_QuasiDenseStereo(), img_left.as_raw_Mat(), img_right.as_raw_Mat(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Specify pixel coordinates in the left image and get its corresponding location in the right image.
		/// ## Parameters
		/// * x: The x pixel coordinate in the left image channel.
		/// * y: The y pixel coordinate in the left image channel.
		/// @retval cv::Point(x, y) The location of the corresponding pixel in the right image.
		/// @retval cv::Point(0, 0) (NO_MATCH)  if no match is found in the right image for the specified pixel location in the left image.
		///
		/// Note: This method should be always called after process, otherwise the matches will not be correct.
		#[inline]
		fn get_match(&mut self, x: i32, y: i32) -> Result<core::Point2f> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_getMatch_const_int_const_int(self.as_raw_mut_QuasiDenseStereo(), x, y, ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			Ok(ret)
		}

		/// Compute and return the disparity map based on the correspondences found in the "process" method.
		///
		/// Note: Default level is 50
		/// ## Returns
		/// cv::Mat containing a the disparity image in grayscale.
		/// ## See also
		/// computeDisparity
		/// quantizeDisparity
		#[inline]
		fn get_disparity(&mut self) -> Result<core::Mat> {
			return_send!(via ocvrs_return);
			unsafe { sys::cv_stereo_QuasiDenseStereo_getDisparity(self.as_raw_mut_QuasiDenseStereo(), ocvrs_return.as_mut_ptr()) };
			return_receive!(ocvrs_return => ret);
			let ret = ret.into_result()?;
			let ret = unsafe { core::Mat::opencv_from_extern(ret) };
			Ok(ret)
		}

	}

	impl std::fmt::Debug for QuasiDenseStereo {
		#[inline]
		fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
			f.debug_struct("QuasiDenseStereo")
				.field("param", &crate::stereo::QuasiDenseStereoTraitConst::param(self))
				.finish()
		}
	}

	impl crate::stereo::QuasiDenseStereoTraitConst for QuasiDenseStereo {
		#[inline] fn as_raw_QuasiDenseStereo(&self) -> *const c_void { self.as_raw() }
	}

	impl crate::stereo::QuasiDenseStereoTrait for QuasiDenseStereo {
		#[inline] fn as_raw_mut_QuasiDenseStereo(&mut self) -> *mut c_void { self.as_raw_mut() }
	}

	boxed_ref! { QuasiDenseStereo, crate::stereo::QuasiDenseStereoTraitConst, as_raw_QuasiDenseStereo, crate::stereo::QuasiDenseStereoTrait, as_raw_mut_QuasiDenseStereo }

}