Fix modules/ typos

Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e

modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp

@@ -618,7 +618,7 @@ void OCL4DNNConvSpatial<Dtype>::calculateBenchmark(const UMat &bottom, UMat &ver
 // For large enough input size, we do not need to tune kernels for different
 // size. The reason is with large input size, there will be enough work items
 // to feed al the EUs.
-// FIXME for the gemm like convolution, switch back to eaxct image size.
+// FIXME for the gemm like convolution, switch back to exact image size.
 
 #define TUNING_SIZE(x) ((x) > 256 ? 256 : (alignSize(x, 16)))
 

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

@@ -161,7 +161,7 @@ message NodeProto {
   repeated string output = 2;   // namespace Value
 
   // An optional identifier for this node in a graph.
-  // This field MAY be absent in ths version of the IR.
+  // This field MAY be absent in this version of the IR.
   optional string name = 3;     // namespace Node
 
   // The symbolic identifier of the Operator to execute.

modules/dnn/src/op_inf_engine.cpp

@@ -609,7 +609,7 @@ void InfEngineBackendNet::forward(const std::vector<Ptr<BackendWrapper> >& outBl
                             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");
                             }
                         }
                     }
@@ -622,7 +622,7 @@ void InfEngineBackendNet::forward(const std::vector<Ptr<BackendWrapper> >& outBl
                         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/op_inf_engine.hpp

@@ -40,7 +40,7 @@
 #endif
 
 //#define INFERENCE_ENGINE_DEPRECATED  // turn off deprecation warnings from IE
-//there is no way to suppress warnigns from IE only at this moment, so we are forced to suppress warnings globally
+//there is no way to suppress warnings from IE only at this moment, so we are forced to suppress warnings globally
 #if defined(__GNUC__)
 #pragma GCC diagnostic ignored "-Wdeprecated-declarations"
 #endif

modules/dnn/src/tensorflow/tf_importer.cpp

@@ -837,7 +837,7 @@ void TFImporter::populateNet(Net dstNet)
                 CV_Assert(paddings.type() == CV_32SC1);
                 if (paddings.total() == 8)
                 {
-                    // Perhabs, we have NHWC padding dimensions order.
+                    // Perhaps, we have NHWC padding dimensions order.
                     //  N    H    W    C
                     // 0 1  2 3  4 5  6 7
                     std::swap(paddings.at<int32_t>(2), paddings.at<int32_t>(6));

modules/dnn/src/torch/torch_importer.cpp

@@ -312,7 +312,7 @@ struct TorchImporter
             fpos = THFile_position(file);
             int ktype = readInt();
 
-            if (ktype != TYPE_STRING) //skip non-string fileds
+            if (ktype != TYPE_STRING) //skip non-string fields
             {
                 THFile_seek(file, fpos);
                 readObject(); //key