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Merge pull request #28301 from raimbekovm:fix-more-typos

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docs: fix spelling errors in documentation and code #28301

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
- [ ] The feature is well documented and sample code can be built with the project CMake

### Description

Fixed multiple spelling errors across documentation, comments, and code:

- 'colummn' → 'column' (cublas.hpp, 3 occurrences)
- 'points_per_colum' → 'points_per_column' (calib3d.hpp, 3 occurrences)
- 'Asignee' → 'Assignee' (sift files, 2 occurrences)
- 'compability' → 'compatibility' (face.hpp, 2 occurrences)
- 'orignal' → 'original' (aruco_detector.cpp)
- 'refrence' → 'reference' (chessboard.cpp)
- 'indeces' → 'indices' (stitching.hpp)
- 'OutputPrecison' → 'OutputPrecision' (test)
- 'tranform' → 'transform' (slice_layer.cpp, 3 occurrences)

Total: 24 fixes across 14 files. Documentation and comment changes only, no functional impact.
This commit is contained in:
Murat Raimbekov
2026-01-27 00:28:50 +06:00
committed by GitHub
parent 99dd085cd9
commit 774c7e01b3
8 changed files with 15 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/calib3d/include/opencv2/calib3d.hpp
+3 -3
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@@ -1337,7 +1337,7 @@ CV_EXPORTS_W Mat initCameraMatrix2D( InputArrayOfArrays objectPoints,
@param image Source chessboard view. It must be an 8-bit grayscale or color image.
@param patternSize Number of inner corners per a chessboard row and column
( patternSize = cv::Size(points_per_row,points_per_colum) = cv::Size(columns,rows) ).
( patternSize = cv::Size(points_per_row,points_per_column) = cv::Size(columns,rows) ).
@param corners Output array of detected corners.
@param flags Various operation flags that can be zero or a combination of the following values:
- @ref CALIB_CB_ADAPTIVE_THRESH Use adaptive thresholding to convert the image to black
@@ -1402,7 +1402,7 @@ CV_EXPORTS_W bool checkChessboard(InputArray img, Size size);
@param image Source chessboard view. It must be an 8-bit grayscale or color image.
@param patternSize Number of inner corners per a chessboard row and column
( patternSize = cv::Size(points_per_row,points_per_colum) = cv::Size(columns,rows) ).
( patternSize = cv::Size(points_per_row,points_per_column) = cv::Size(columns,rows) ).
@param corners Output array of detected corners.
@param flags Various operation flags that can be zero or a combination of the following values:
- @ref CALIB_CB_NORMALIZE_IMAGE Normalize the image gamma with equalizeHist before detection.
@@ -1564,7 +1564,7 @@ typedef CirclesGridFinderParameters CirclesGridFinderParameters2;
@param image grid view of input circles; it must be an 8-bit grayscale or color image.
@param patternSize number of circles per row and column
( patternSize = Size(points_per_row, points_per_colum) ).
( patternSize = Size(points_per_row, points_per_column) ).
@param centers output array of detected centers.
@param flags various operation flags that can be one of the following values:
- @ref CALIB_CB_SYMMETRIC_GRID uses symmetric pattern of circles.
modules/dnn/src/cuda4dnn/csl/cublas.hpp
+3 -3
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@@ -155,7 +155,7 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
std::shared_ptr<UniqueHandle> handle;
};
/** @brief GEMM for colummn-major matrices
/** @brief GEMM for column-major matrices
*
* \f$ C = \alpha AB + \beta C \f$
*
@@ -248,7 +248,7 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
);
}
/** @brief Strided batched GEMM for colummn-major matrices
/** @brief Strided batched GEMM for column-major matrices
*
* \f$ C_i = \alpha A_i B_i + \beta C_i \f$ for a stack of matrices A, B and C indexed by i
*
@@ -364,7 +364,7 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
);
}
/** @brief Strided batched GEMM for colummn-major matrices
/** @brief Strided batched GEMM for column-major matrices
*
* \f$ C_i = \alpha A_i B_i + \beta C_i \f$ for a stack of matrices A, B and C indexed by i
*
modules/dnn/src/layers/slice_layer.cpp
+3 -3
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@@ -87,7 +87,7 @@ Range normalizeRange(const Range& input_range, int n)
}
// TODO: support cv::Range with steps and negative steps to get rid of this transformation
void tranformForNegSteps(const MatShape& inpShape, std::vector<std::vector<Range> >& sliceRanges, std::vector<std::vector<int> >& sliceSteps)
void transformForNegSteps(const MatShape& inpShape, std::vector<std::vector<Range> >& sliceRanges, std::vector<std::vector<int> >& sliceSteps)
{
// in case of negative steps,
// x of shape [5, 10], x[5:0:-1, 10:1:-3] <=> np.flip(x[1:5:1, 2:10:3], aixs=(0, 1))
@@ -248,7 +248,7 @@ public:
std::vector<std::vector<int> > sliceSteps_ = sliceSteps;
std::vector<std::vector<cv::Range> > sliceRanges_ = sliceRanges;
if (hasSteps && !neg_step_dims.empty())
tranformForNegSteps(inpShape, sliceRanges_, sliceSteps_);
transformForNegSteps(inpShape, sliceRanges_, sliceSteps_);
int axis_rw = axis;
std::vector<std::vector<cv::Range> > sliceRanges_rw = finalizeSliceRange(inpShape, axis_rw, sliceRanges_);
@@ -300,7 +300,7 @@ public:
MatShape inpShape = shape(inputs[0]);
if (hasSteps && !neg_step_dims.empty())
tranformForNegSteps(inpShape, sliceRanges, sliceSteps);
transformForNegSteps(inpShape, sliceRanges, sliceSteps);
finalSliceRanges = finalizeSliceRange(shape(inputs[0]), axis, sliceRanges);
modules/features2d/src/sift.dispatch.cpp
+1 -1
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@@ -18,7 +18,7 @@
// software: "Method and apparatus for identifying scale invariant features
// in an image and use of same for locating an object in an image," David
// G. Lowe, US Patent 6,711,293 (March 23, 2004). Provisional application
// filed March 8, 1999. Asignee: The University of British Columbia. For
// filed March 8, 1999. Assignee: The University of British Columbia. For
// further details, contact David Lowe (lowe@cs.ubc.ca) or the
// University-Industry Liaison Office of the University of British
// Columbia.
modules/features2d/src/sift.simd.hpp
+1 -1
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@@ -18,7 +18,7 @@
// software: "Method and apparatus for identifying scale invariant features
// in an image and use of same for locating an object in an image," David
// G. Lowe, US Patent 6,711,293 (March 23, 2004). Provisional application
// filed March 8, 1999. Asignee: The University of British Columbia. For
// filed March 8, 1999. Assignee: The University of British Columbia. For
// further details, contact David Lowe (lowe@cs.ubc.ca) or the
// University-Industry Liaison Office of the University of British
// Columbia.
modules/gapi/test/infer/gapi_infer_ie_test.cpp
+1 -1
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@@ -3174,7 +3174,7 @@ TEST_F(AgeGenderInferTest, ChangeOutputPrecision) {
validate();
}
TEST_F(AgeGenderInferTest, ChangeSpecificOutputPrecison) {
TEST_F(AgeGenderInferTest, ChangeSpecificOutputPrecision) {
auto pp = cv::gapi::ie::Params<AgeGender> {
m_params.model_path, m_params.weights_path, m_params.device_id
}.cfgOutputLayers({ "age_conv3", "prob" })
modules/objdetect/include/opencv2/objdetect/face.hpp
+2 -2
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@@ -74,7 +74,7 @@ public:
/** @brief Creates an instance of face detector class with given parameters
*
* @param model the path to the requested model
* @param config the path to the config file for compability, which is not requested for ONNX models
* @param config the path to the config file for compatibility, which is not requested for ONNX models
* @param input_size the size of the input image
* @param score_threshold the threshold to filter out bounding boxes of score smaller than the given value
* @param nms_threshold the threshold to suppress bounding boxes of IoU bigger than the given value
@@ -150,7 +150,7 @@ public:
/** @brief Creates an instance of this class with given parameters
* @param model the path of the onnx model used for face recognition
* @param config the path to the config file for compability, which is not requested for ONNX models
* @param config the path to the config file for compatibility, which is not requested for ONNX models
* @param backend_id the id of backend
* @param target_id the id of target device
*/
modules/objdetect/src/aruco/aruco_detector.cpp
+1 -1
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@@ -905,7 +905,7 @@ struct ArucoDetector::ArucoDetectorImpl {
// only CORNER_REFINE_SUBPIX implement correctly for useAruco3Detection
// Todo: update other CORNER_REFINE methods
// scale to orignal size, this however will lead to inaccurate detections!
// scale to original size, this however will lead to inaccurate detections!
for (auto &vecPoints : candidates)
for (auto &point : vecPoints)
point *= 1.f/fxfy;