Fix docs warnings

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

@@ -221,7 +221,7 @@ namespace dnn //! This namespace is used for dnn module functionlaity.
         CV_WRAP void allocate();
 
         /** @brief Runs forward pass to compute output of layer @p toLayer.
-          * @detail By default runs forward pass for the whole network.
+          * @details By default runs forward pass for the whole network.
           */
         CV_WRAP void forward(LayerId toLayer = String());
         /** @brief Runs forward pass to compute output of layer @p toLayer, but computations start from @p startLayer */
@@ -295,7 +295,7 @@ namespace dnn //! This namespace is used for dnn module functionlaity.
     CV_EXPORTS_W Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel = String());
 
     /** @brief Reads a network model stored in Caffe model files.
-      * @detail This is shortcut consisting from createCaffeImporter and Net::populateNet calls.
+      * @details This is shortcut consisting from createCaffeImporter and Net::populateNet calls.
       */
     CV_EXPORTS_W Net readNetFromCaffe(const String &prototxt, const String &caffeModel = String());
 

modules/dnn/samples/caffe_googlenet.cpp

@@ -84,6 +84,8 @@ std::vector<String> readClassNames(const char *filename = "synset_words.txt")
 
 int main(int argc, char **argv)
 {
+    cv::dnn::initModule();  //Required if OpenCV is built as static libs
+
     String modelTxt = "bvlc_googlenet.prototxt";
     String modelBin = "bvlc_googlenet.caffemodel";
     String imageFile = (argc > 1) ? argv[1] : "space_shuttle.jpg";
@@ -92,7 +94,7 @@ int main(int argc, char **argv)
     Net net = dnn::readNetFromCaffe(modelTxt, modelBin);
     //! [Read and initialize network]
 
-    //! [Check that net was read successfully]
+    //! [Check that network was read successfully]
     if (net.empty())
     {
         std::cerr << "Can't load network by using the following files: " << std::endl;
@@ -102,7 +104,7 @@ int main(int argc, char **argv)
         std::cerr << "http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel" << std::endl;
         exit(-1);
     }
-    //! [Check that net was read successfully]
+    //! [Check that network was read successfully]
 
     //! [Prepare blob]
     Mat img = imread(imageFile);

modules/dnn/tutorials/tutorial_dnn_googlenet.markdown

@@ -29,11 +29,11 @@ Explanation
 
    Put these files into working dir of this program example.
 
--# Create the importer of Caffe models
+-# Read and initialize network using path to .prototxt and .caffemodel files
-   @snippet dnn/samples/caffe_googlenet.cpp Create the importer of Caffe model
+   @snippet dnn/samples/caffe_googlenet.cpp Read and initialize network
 
--# Create the network and initialize its by using the created importer
+-# Check that network was read successfully
-   @snippet dnn/samples/caffe_googlenet.cpp Initialize network
+   @snippet dnn/samples/caffe_googlenet.cpp Check that network was read successfully
 
 -# Read input image and convert to the blob, acceptable by GoogleNet
    @snippet dnn/samples/caffe_googlenet.cpp Prepare blob
@@ -41,7 +41,7 @@ Explanation
 
    Now image is actually a 3-dimensional array with 224x224x3 shape.
 
-   Next, we convert the image to 4-dimensional blob (so-called batch) with 1x2x224x224 shape by using special @ref cv::dnn::Blob constructor.
+   Next, we convert the image to 4-dimensional blob (so-called batch) with 1x3x224x224 shape by using special cv::dnn::Blob::fromImages constructor.
 
 -# Pass the blob to the network
    @snippet dnn/samples/caffe_googlenet.cpp Set input blob