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Merge pull request #28309 from raimbekovm:fix-typos-batch6

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docs: fix typos in documentation and code comments #28309

## Summary

This PR fixes 10 spelling errors in documentation and code comments across 7 files.

## Changes
- `suppport` → `support` (2 occurrences in test_video_io.cpp)
- `compability` → `compatibility` (2 occurrences in face.hpp)
- `successfull` → `successful` (1 occurrence in cv2.cpp)
- `accomodate` → `accommodate` (2 occurrences in calib3d.hpp and test_camera.cpp)
- `minimun` → `minimum` (1 occurrence in aruco_detector.hpp)
- `maximun` → `maximum` (1 occurrence in aruco_detector.hpp)
- `orignal` → `original` (1 occurrence in aruco_detector.cpp)

## Test plan
- [x] No API changes
- [x] Documentation-only changes
- [x] Code compiles without errors
This commit is contained in:
Murat Raimbekov
2026-03-03 17:29:47 +06:00
committed by GitHub
parent 1099135b88
commit 91c78f5064
24 changed files with 54 additions and 44 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/calib3d/include/opencv2/calib3d.hpp
+1 -1
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@@ -3874,7 +3874,7 @@ void initUndistortRectifyMap(InputArray cameraMatrix, InputArray distCoeffs,
Size size, int m1type, OutputArray map1, OutputArray map2);
/** @brief Computes the projection and inverse-rectification transformation map. In essense, this is the inverse of
#initUndistortRectifyMap to accomodate stereo-rectification of projectors ('inverse-cameras') in projector-camera pairs.
#initUndistortRectifyMap to accommodate stereo-rectification of projectors ('inverse-cameras') in projector-camera pairs.
The function computes the joint projection and inverse rectification transformation and represents the
result in the form of maps for #remap. The projected image looks like a distorted version of the original which,
modules/calib3d/test/test_stereomatching.cpp
+1 -1
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@@ -219,7 +219,7 @@ void computeOcclusionBasedMasks( const Mat& leftDisp, const Mat& _rightDisp,
}
/*
Calculate depth discontinuty regions: pixels whose neiboring disparities differ by more than
Calculate depth discontinuity regions: pixels whose neighboring disparities differ by more than
dispGap, dilated by window of width discontWidth.
*/
void computeDepthDiscontMask( const Mat& disp, Mat& depthDiscontMask, const Mat& unknDispMask = Mat(),
modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp
+1 -1
View File
@@ -13,7 +13,7 @@
#endif
#include "tbb/tbb.h"
#if !defined(TBB_INTERFACE_VERSION)
#error "Unknows/unsupported TBB version"
#error "Unknown/unsupported TBB version"
#endif
#if TBB_INTERFACE_VERSION >= 8000
modules/core/test/test_operations.cpp
+3 -3
View File
@@ -69,7 +69,7 @@ protected:
bool TestSparseMat();
bool TestVec();
bool TestMatxMultiplication();
bool TestMatxElementwiseDivison();
bool TestMatxElementwiseDivision();
bool TestDivisionByValue();
bool TestInplaceDivisionByValue();
bool TestMatMatxCastSum();
@@ -957,7 +957,7 @@ bool CV_OperationsTest::TestMatMatxCastSum()
return true;
}
bool CV_OperationsTest::TestMatxElementwiseDivison()
bool CV_OperationsTest::TestMatxElementwiseDivision()
{
try
{
@@ -1248,7 +1248,7 @@ void CV_OperationsTest::run( int /* start_from */)
if (!TestMatxMultiplication())
return;
if (!TestMatxElementwiseDivison())
if (!TestMatxElementwiseDivision())
return;
if (!TestDivisionByValue())
modules/dnn/src/dnn_utils.cpp
+1 -1
View File
@@ -187,7 +187,7 @@ void blobFromImagesNCHWImpl(const std::vector<Mat>& images, Mat& blob_, const Im
if (param.mean == Scalar() && param.scalefactor == Scalar::all(1.0))
return;
CV_CheckTypeEQ(param.ddepth, CV_32F, "Scaling and mean substraction is supported only for CV_32F blob depth");
CV_CheckTypeEQ(param.ddepth, CV_32F, "Scaling and mean subtraction is supported only for CV_32F blob depth");
for (size_t k = 0; k < images.size(); ++k)
{
modules/dnn/src/layers/einsum_layer.cpp
+1 -1
View File
@@ -1179,7 +1179,7 @@ Mat LayerEinsumImpl::pairwiseOperandProcess(
shape(currentLeft),
reshaped_dims))
{
// This can be done because curent_* tensors (if they exist) and output tensors are
// This can be done because current_* tensors (if they exist) and output tensors are
// intermediate tensors and cannot be input tensors to the Einsum node itself
// (which are immutable).
currentLeft = currentLeft.reshape(1, reshaped_dims.size(), reshaped_dims.data());
modules/dnn/src/layers/scatterND_layer.cpp
+1 -1
View File
@@ -39,7 +39,7 @@ public:
else if (reduction_name == "min")
reduction = REDUCTION::MIN;
else
CV_Error(cv::Error::StsBadArg, "Unkown reduction \"" + reduction_name + "\"");
CV_Error(cv::Error::StsBadArg, "Unknown reduction \"" + reduction_name + "\"");
}
virtual bool supportBackend(int backendId) CV_OVERRIDE
modules/dnn/src/layers/scatter_layer.cpp
+1 -1
View File
@@ -40,7 +40,7 @@ public:
else if (reduction_name == "min")
reduction = REDUCTION::MIN;
else
CV_Error(cv::Error::StsBadArg, "Unkown reduction \"" + reduction_name + "\"");
CV_Error(cv::Error::StsBadArg, "Unknown reduction \"" + reduction_name + "\"");
}
virtual bool supportBackend(int backendId) CV_OVERRIDE
modules/dnn/src/op_cann.cpp
+1 -1
View File
@@ -215,7 +215,7 @@ void CannNet::forward()
ACL_CHECK_RET(aclmdlExecute(model_id, inputs, outputs));
CV_LOG_DEBUG(NULL, "DNN/CANN: finished network forward");
// fetch ouputs from device to host
// fetch outputs from device to host
CV_LOG_DEBUG(NULL, "DNN/CANN: start fetching outputs to host");
for (size_t i = 0; i < output_wrappers.size(); ++i)
{
modules/dnn/src/op_timvx.cpp
+3 -3
View File
@@ -535,7 +535,7 @@ TimVXBackendNode::TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph_,
}
TimVXBackendNode::TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph_, std::shared_ptr<tim::vx::Operation>& op_,
std::vector<int>& inputsIndex, std::vector<int>& outpusIndex)
std::vector<int>& inputsIndex, std::vector<int>& outputsIndex)
:BackendNode(DNN_BACKEND_TIMVX)
{
tvGraph = tvGraph_;
@@ -545,8 +545,8 @@ TimVXBackendNode::TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph_, std::shared_
if (!inputsIndex.empty())
inputIndexList.assign(inputsIndex.begin(), inputsIndex.end());
if (!outpusIndex.empty())
outputIndexList.assign(outpusIndex.begin(), outpusIndex.end());
if (!outputsIndex.empty())
outputIndexList.assign(outputsIndex.begin(), outputsIndex.end());
}
bool TimVXBackendNode::opBinding()
modules/dnn/src/op_timvx.hpp
+1 -1
View File
@@ -96,7 +96,7 @@ public:
TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph);
TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph, const std::shared_ptr<tim::vx::Operation>& op);
TimVXBackendNode(const Ptr<TimVXGraph>& tvGraph, std::shared_ptr<tim::vx::Operation>& op,
std::vector<int>& inputsIndex, std::vector<int>& outpusIndex);
std::vector<int>& inputsIndex, std::vector<int>& outputsIndex);
void setInputTensor();
bool opBinding();
modules/gapi/include/opencv2/gapi/video.hpp
+1 -1
View File
@@ -355,7 +355,7 @@ template<> struct CompileArgTag<cv::gapi::video::BackgroundSubtractorParams>
{
static const char* tag()
{
return "org.opencv.video.background_substractor_params";
return "org.opencv.video.background_subtractor_params";
}
};
} // namespace detail
modules/gapi/src/executor/gstreamingexecutor.cpp
+1 -1
View File
@@ -337,7 +337,7 @@ void rewindToStop(std::vector<Q*> &in_queues,
});
if (expected_stop_count > 0) {
// NB: it requires to substract own queues id from total waiting queue count
// NB: it requires to subtract own queues id from total waiting queue count
// because it had got stop message before rewind was called
expected_stop_count--;
}
modules/gapi/test/common/gapi_video_tests_common.hpp
+1 -1
View File
@@ -381,7 +381,7 @@ inline void testBackgroundSubtractorStreaming(cv::GStreamingCompiled& gapiBackSu
compare_f cmpF = AbsSimilarPoints(tolerance, numDiff).to_compare_f();
// Comparison of G-API and OpenCV substractors
// Comparison of G-API and OpenCV subtractors
std::size_t frames = 0u;
while (frames <= testNumFrames && gapiBackSub.pull(cv::gout(frame, gapiForeground)))
{
modules/gapi/test/cpu/gapi_ocv_stateful_kernel_tests.cpp
+5 -5
View File
@@ -37,7 +37,7 @@ namespace cv
{
static const char* tag()
{
return "org.opencv.test.background_substractor_state_params";
return "org.opencv.test.background_subtractor_state_params";
}
};
@@ -115,7 +115,7 @@ namespace
}
};
G_TYPED_KERNEL(GBackSub, <GMat(GMat)>, "org.opencv.test.background_substractor")
G_TYPED_KERNEL(GBackSub, <GMat(GMat)>, "org.opencv.test.background_subtractor")
{
static GMatDesc outMeta(GMatDesc in) { return in.withType(CV_8U, 1); }
};
@@ -438,10 +438,10 @@ namespace
gapiBackSub.start();
EXPECT_TRUE(gapiBackSub.running());
// OpenCV reference substractor
// OpenCV reference subtractor
auto pOCVBackSub = createBackgroundSubtractorKNN();
// Comparison of G-API and OpenCV substractors
// Comparison of G-API and OpenCV subtractors
std::size_t frames = 0u;
while (gapiBackSub.pull(cv::gout(frame, gapiForeground))) {
pOCVBackSub->apply(frame, ocvForeground, -1);
@@ -503,7 +503,7 @@ TEST(StatefulKernel, StateIsChangedViaCompArgsOnReshape)
const auto pkg = cv::gapi::kernels<GOCVBackSub>();
// OpenCV reference substractor
// OpenCV reference subtractor
auto pOCVBackSubKNN = createBackgroundSubtractorKNN();
auto pOCVBackSubMOG2 = createBackgroundSubtractorMOG2();
modules/imgproc/include/opencv2/imgproc.hpp
+1 -1
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@@ -3867,7 +3867,7 @@ CV_EXPORTS_W void demosaicing(InputArray src, OutputArray dst, int code, int dst
The function computes moments, up to the 3rd order, of a vector shape or a rasterized shape. The
results are returned in the structure cv::Moments.
@param array Single chanel raster image (CV_8U, CV_16U, CV_16S, CV_32F, CV_64F) or an array (
@param array Single channel raster image (CV_8U, CV_16U, CV_16S, CV_32F, CV_64F) or an array (
\f$1 \times N\f$ or \f$N \times 1\f$ ) of 2D points (Point or Point2f).
@param binaryImage If it is true, all non-zero image pixels are treated as 1's. The parameter is
used for images only.
modules/objdetect/include/opencv2/objdetect/aruco_detector.hpp
+2 -2
View File
@@ -168,12 +168,12 @@ struct CV_EXPORTS_W_SIMPLE DetectorParameters {
*/
CV_PROP_RW double maxErroneousBitsInBorderRate;
/** @brief minimun standard deviation in pixels values during the decodification step to apply Otsu
/** @brief minimum standard deviation in pixels values during the decodification step to apply Otsu
* thresholding (otherwise, all the bits are set to 0 or 1 depending on mean higher than 128 or not) (default 5.0)
*/
CV_PROP_RW double minOtsuStdDev;
/// error correction rate respect to the maximun error correction capability for each dictionary (default 0.6).
/// error correction rate respect to the maximum error correction capability for each dictionary (default 0.6).
CV_PROP_RW double errorCorrectionRate;
/** @brief April :: User-configurable parameters.
modules/python/src2/cv2.cpp
+1 -1
View File
@@ -226,7 +226,7 @@ static PyObject* createSubmodule(PyObject* parent_module, const std::string& nam
}
/// Populates parent module dictionary. Submodule lifetime should be managed
/// by the global modules dictionary and parent module dictionary, so Py_DECREF after
/// successfull call to the `PyDict_SetItemString` is redundant.
/// successful call to the `PyDict_SetItemString` is redundant.
if (PyDict_SetItemString(parent_module_dict, submodule_name.c_str(), submodule) < 0) {
return PyErr_Format(PyExc_ImportError,
"Can't register a submodule '%s' (full name: '%s')",
modules/videoio/include/opencv2/videoio.hpp
+12 -2
View File
@@ -614,9 +614,19 @@ enum { CAP_PROP_IOS_DEVICE_FOCUS = 9001,
enum { CAP_PROP_GIGA_FRAME_OFFSET_X = 10001,
CAP_PROP_GIGA_FRAME_OFFSET_Y = 10002,
CAP_PROP_GIGA_FRAME_WIDTH_MAX = 10003,
CAP_PROP_GIGA_FRAME_HEIGH_MAX = 10004,
CAP_PROP_GIGA_FRAME_HEIGHT_MAX = 10004,
// Typo in pre-5.x sources. Remain for source compatibility
#if CV_VERSION_MAJOR <= 4
CAP_PROP_GIGA_FRAME_HEIGH_MAX = CAP_PROP_GIGA_FRAME_HEIGHT_MAX, //!< @deprecated
#endif
CAP_PROP_GIGA_FRAME_SENS_WIDTH = 10005,
CAP_PROP_GIGA_FRAME_SENS_HEIGH = 10006
CAP_PROP_GIGA_FRAME_SENS_HEIGHT = 10006
// Typo in pre-5.x sources. Remain for source compatibility
#if CV_VERSION_MAJOR <= 4
,
CAP_PROP_GIGA_FRAME_SENS_HEIGH = CAP_PROP_GIGA_FRAME_SENS_HEIGHT //!< @deprecated
#endif
};
//! @} Smartek
modules/videoio/include/opencv2/videoio/legacy/constants_c.h
+2 -2
View File
@@ -342,9 +342,9 @@ enum
CV_CAP_PROP_GIGA_FRAME_OFFSET_X = 10001,
CV_CAP_PROP_GIGA_FRAME_OFFSET_Y = 10002,
CV_CAP_PROP_GIGA_FRAME_WIDTH_MAX = 10003,
CV_CAP_PROP_GIGA_FRAME_HEIGH_MAX = 10004,
CV_CAP_PROP_GIGA_FRAME_HEIGHT_MAX = 10004,
CV_CAP_PROP_GIGA_FRAME_SENS_WIDTH = 10005,
CV_CAP_PROP_GIGA_FRAME_SENS_HEIGH = 10006,
CV_CAP_PROP_GIGA_FRAME_SENS_HEIGHT = 10006,
CV_CAP_PROP_INTELPERC_PROFILE_COUNT = 11001,
CV_CAP_PROP_INTELPERC_PROFILE_IDX = 11002,
modules/videoio/src/cap_obsensor/obsensor_stream_channel_msmf.cpp
+5 -5
View File
@@ -373,7 +373,7 @@ void MSMFStreamChannel::start(const StreamProfile& profile, FrameCallback frameC
break;
}
}
streamState_ = quit ? streamState_ : STREAM_STOPED;
streamState_ = quit ? streamState_ : STREAM_STOPPED;
}
void MSMFStreamChannel::stop()
@@ -385,7 +385,7 @@ void MSMFStreamChannel::stop()
streamReader_->Flush(currentStreamIndex_);
std::unique_lock<std::mutex> lk(streamStateMutex_);
streamStateCv_.wait_for(lk, std::chrono::milliseconds(1000), [&]() {
return streamState_ == STREAM_STOPED;
return streamState_ == STREAM_STOPPED;
});
}
}
@@ -474,7 +474,7 @@ STDMETHODIMP MSMFStreamChannel::OnReadSample(HRESULT hrStatus, DWORD dwStreamInd
streamStateCv_.notify_all();
}
if (streamState_ != STREAM_STOPPING && streamState_ != STREAM_STOPED)
if (streamState_ != STREAM_STOPPING && streamState_ != STREAM_STOPPED)
{
HR_FAILED_LOG(streamReader_->ReadSample(dwStreamIndex, 0, nullptr, nullptr, nullptr, nullptr));
if (sample)
@@ -505,10 +505,10 @@ STDMETHODIMP MSMFStreamChannel::OnEvent(DWORD /*sidx*/, IMFMediaEvent* /*event*/
STDMETHODIMP MSMFStreamChannel::OnFlush(DWORD)
{
if (streamState_ != STREAM_STOPED)
if (streamState_ != STREAM_STOPPED)
{
std::unique_lock<std::mutex> lock(streamStateMutex_);
streamState_ = STREAM_STOPED;
streamState_ = STREAM_STOPPED;
streamStateCv_.notify_all();
}
return S_OK;
modules/videoio/src/cap_obsensor/obsensor_stream_channel_v4l2.cpp
+6 -6
View File
@@ -176,7 +176,7 @@ Ptr<IStreamChannel> V4L2Context::createStreamChannel(const UvcDeviceInfo& devInf
V4L2StreamChannel::V4L2StreamChannel(const UvcDeviceInfo &devInfo) : IUvcStreamChannel(devInfo),
devFd_(-1),
streamState_(STREAM_STOPED)
streamState_(STREAM_STOPPED)
{
devFd_ = open(devInfo_.id.c_str(), O_RDWR | O_NONBLOCK, 0);
@@ -203,7 +203,7 @@ V4L2StreamChannel::~V4L2StreamChannel() noexcept
void V4L2StreamChannel::start(const StreamProfile& profile, FrameCallback frameCallback)
{
if (streamState_ != STREAM_STOPED)
if (streamState_ != STREAM_STOPPED)
{
CV_LOG_ERROR(NULL, devInfo_.id << ": repetitive operation!")
return;
@@ -248,7 +248,7 @@ void V4L2StreamChannel::start(const StreamProfile& profile, FrameCallback frameC
streamState_ = STREAM_STARTING;
uint32_t type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
IOCTL_FAILED_EXEC(xioctl(devFd_, VIDIOC_STREAMON, &type), {
streamState_ = STREAM_STOPED;
streamState_ = STREAM_STOPPED;
for (uint32_t i = 0; i < MAX_FRAME_BUFFER_NUM; i++)
{
if (frameBuffList[i].ptr)
@@ -279,7 +279,7 @@ void V4L2StreamChannel::grabFrame()
IOCTL_FAILED_EXEC(xioctl(devFd_, VIDIOC_QBUF, &buf), {
std::unique_lock<std::mutex> lk(streamStateMutex_);
streamState_ = STREAM_STOPED;
streamState_ = STREAM_STOPPED;
streamStateCv_.notify_all();
return;
});
@@ -303,7 +303,7 @@ void V4L2StreamChannel::grabFrame()
IOCTL_FAILED_CONTINUE(xioctl(devFd_, VIDIOC_QBUF, &buf));
}
std::unique_lock<std::mutex> lk(streamStateMutex_);
streamState_ = STREAM_STOPED;
streamState_ = STREAM_STOPPED;
streamStateCv_.notify_all();
}
@@ -357,7 +357,7 @@ void V4L2StreamChannel::stop()
streamState_ = STREAM_STOPPING;
std::unique_lock<std::mutex> lk(streamStateMutex_);
streamStateCv_.wait_for(lk, std::chrono::milliseconds(1000), [&](){
return streamState_ == STREAM_STOPED;
return streamState_ == STREAM_STOPPED;
});
uint32_t type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
IOCTL_FAILED_LOG(xioctl(devFd_, VIDIOC_STREAMOFF, &type));
modules/videoio/src/cap_obsensor/obsensor_uvc_stream_channel.hpp
+1 -1
View File
@@ -42,7 +42,7 @@ struct UvcDeviceInfo
enum StreamState
{
STREAM_STOPED = 0, // stoped or ready
STREAM_STOPPED = 0, // stopped or ready
STREAM_STARTING = 1,
STREAM_STARTED = 2,
STREAM_STOPPING = 3,
modules/videoio/test/test_camera.cpp
+1 -1
View File
@@ -55,7 +55,7 @@ static void test_readFrames(/*const*/ VideoCapture& capture, const int N = 100,
// Check that the time between two camera frames and two system time calls
// are within 1.5 frame periods of one another.
//
// 1.5x is chosen to accomodate for a dropped frame, and an additional 50%
// 1.5x is chosen to accommodate for a dropped frame, and an additional 50%
// to account for drift in the scale of the camera and system time domains.
EXPECT_NEAR(sysTimeElapsedSecs, camTimeElapsedSecs, framePeriod * 1.5);
}