Fix spelling typos

backport commit 659ffaddb4

modules/dnn/include/opencv2/dnn/all_layers.hpp

@@ -134,7 +134,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
         virtual void setOutShape(const MatShape &outTailShape = MatShape()) = 0;
 
         /** @deprecated Use flag `produce_cell_output` in LayerParams.
-          * @brief Specifies either interpret first dimension of input blob as timestamp dimenion either as sample.
+          * @brief Specifies either interpret first dimension of input blob as timestamp dimension either as sample.
           *
           * If flag is set to true then shape of input blob will be interpreted as [`T`, `N`, `[data dims]`] where `T` specifies number of timestamps, `N` is number of independent streams.
           * In this case each forward() call will iterate through `T` timestamps and update layer's state `T` times.

modules/dnn/src/ie_ngraph.cpp

@@ -622,7 +622,7 @@ void InfEngineNgraphNet::forward(const std::vector<Ptr<BackendWrapper> >& outBlo
                             try {
                                 wrapper->outProms[processedOutputs].setException(std::current_exception());
                             } catch(...) {
-                                CV_LOG_ERROR(NULL, "DNN: Exception occured during async inference exception propagation");
+                                CV_LOG_ERROR(NULL, "DNN: Exception occurred during async inference exception propagation");
                             }
                         }
                     }
@@ -635,7 +635,7 @@ void InfEngineNgraphNet::forward(const std::vector<Ptr<BackendWrapper> >& outBlo
                         try {
                             wrapper->outProms[processedOutputs].setException(e);
                         } catch(...) {
-                            CV_LOG_ERROR(NULL, "DNN: Exception occured during async inference exception propagation");
+                            CV_LOG_ERROR(NULL, "DNN: Exception occurred during async inference exception propagation");
                         }
                     }
                 }

modules/dnn/src/onnx/opencv-onnx.proto

@@ -116,7 +116,7 @@ message AttributeProto {
 
   // The type field MUST be present for this version of the IR.
   // For 0.0.1 versions of the IR, this field was not defined, and
-  // implementations needed to use has_field hueristics to determine
+  // implementations needed to use has_field heuristics to determine
   // which value field was in use.  For IR_VERSION 0.0.2 or later, this
   // field MUST be set and match the f|i|s|t|... field in use.  This
   // change was made to accommodate proto3 implementations.
@@ -323,7 +323,7 @@ message TensorProto {
   // For float and complex64 values
   // Complex64 tensors are encoded as a single array of floats,
   // with the real components appearing in odd numbered positions,
-  // and the corresponding imaginary component apparing in the
+  // and the corresponding imaginary component appearing in the
   // subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
   // is encoded as [1.0, 2.0 ,3.0 ,4.0]
   // When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
@@ -373,7 +373,7 @@ message TensorProto {
   // For double
   // Complex64 tensors are encoded as a single array of doubles,
   // with the real components appearing in odd numbered positions,
-  // and the corresponding imaginary component apparing in the
+  // and the corresponding imaginary component appearing in the
   // subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
   // is encoded as [1.0, 2.0 ,3.0 ,4.0]
   // When this field is present, the data_type field MUST be DOUBLE or COMPLEX128