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

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

modules/dnn/src/dnn_utils.cpp

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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();