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docs: fix spelling errors in documentation

- Fixed 'reinitalized' -> 'reinitialized' in background_segm.hpp
- Fixed 'dimentions/dimentional/dimentinal' -> 'dimensions/dimensional' in mat.hpp, imgproc.hpp, gmat.hpp, recurrent_layers.cpp
- Fixed 'tresholded' -> 'thresholded' in aruco_detector.cpp
This commit is contained in:
raimbekovm
2025-12-24 22:37:09 +06:00
parent 3e89c3e26f
commit 17a01d687c
6 changed files with 13 additions and 13 deletions
+1 -1
View File
@@ -245,7 +245,7 @@ struct GAPI_EXPORTS_W_SIMPLE GMatDesc
static inline GMatDesc empty_gmat_desc() { return GMatDesc{-1,-1,{-1,-1}}; }
namespace gapi { namespace detail {
/** Checks GMatDesc fields if the passed matrix is a set of n-dimentional points.
/** Checks GMatDesc fields if the passed matrix is a set of n-dimensional points.
@param in GMatDesc to check.
@param n expected dimensionality.
@return the amount of points. In case input matrix can't be described as vector of points
@@ -217,7 +217,7 @@ namespace imgproc {
GAPI_Assert (in.depth == CV_32S || in.depth == CV_32F);
int amount = detail::checkVector(in, 2u);
GAPI_Assert(amount != -1 &&
"Input Mat can't be described as vector of 2-dimentional points");
"Input Mat can't be described as vector of 2-dimensional points");
}
return empty_gopaque_desc();
}
@@ -242,7 +242,7 @@ namespace imgproc {
static GOpaqueDesc outMeta(GMatDesc in,DistanceTypes,double,double,double) {
int amount = detail::checkVector(in, 2u);
GAPI_Assert(amount != -1 &&
"Input Mat can't be described as vector of 2-dimentional points");
"Input Mat can't be described as vector of 2-dimensional points");
return empty_gopaque_desc();
}
};
@@ -276,7 +276,7 @@ namespace imgproc {
static GOpaqueDesc outMeta(GMatDesc in,int,double,double,double) {
int amount = detail::checkVector(in, 3u);
GAPI_Assert(amount != -1 &&
"Input Mat can't be described as vector of 3-dimentional points");
"Input Mat can't be described as vector of 3-dimensional points");
return empty_gopaque_desc();
}
};
@@ -1235,7 +1235,7 @@ weights \f$w_i\f$ are adjusted to be inversely proportional to \f$\rho(r_i)\f$ .
@note
- Function textual ID is "org.opencv.imgproc.shape.fitLine2DMat"
- In case of an N-dimentional points' set given, Mat should be 2-dimensional, have a single row
- In case of an N-dimensional points' set given, Mat should be 2-dimensional, have a single row
or column if there are N channels, or have N columns if there is a single channel.
@param src Input set of 2D points stored in one of possible containers: Mat,
@@ -1307,7 +1307,7 @@ weights \f$w_i\f$ are adjusted to be inversely proportional to \f$\rho(r_i)\f$ .
@note
- Function textual ID is "org.opencv.imgproc.shape.fitLine3DMat"
- In case of an N-dimentional points' set given, Mat should be 2-dimensional, have a single row
- In case of an N-dimensional points' set given, Mat should be 2-dimensional, have a single row
or column if there are N channels, or have N columns if there is a single channel.
@param src Input set of 3D points stored in one of possible containers: Mat,