Applying comments

Author: Pashchenkov Maxim

demos/gesture_recognition_demo/cpp_gapi/README.md

@@ -24,7 +24,7 @@ The demo workflow is the following:
 
 ## Creating a Gallery for gestures window
 
-To show gestures on a additional window, the demo needs a gallery of reference videos. Each video should contain an appropriate name of gesture. You can create the gallery from an arbitrary list of images:
+The gallery of sample videos can be created to show the sample gestures on an additional window:
 
 1. Put videos containing gestures to a separate empty folder. Each video must have only one gesture.
 2. Run the `python3 <omz_dir>/demos/gesture_recognition_demo/cpp_gapi/create_list.py --classes_map <path_to_a_file_with_gesture_classes> --gesture_storage <path_to_directory_with_gesture_videos>` command, which will create a `gesture_gallery.json` file with list of gestures and paths to appropriate videos.

demos/gesture_recognition_demo/cpp_gapi/create_list.py

@@ -20,7 +20,7 @@
 import json
 import argparse
 
-parser = argparse.ArgumentParser(description='This is')
+parser = argparse.ArgumentParser(description='')
 
 parser.add_argument('--gesture_storage',
                     help='Path to the gesture directory')

demos/gesture_recognition_demo/cpp_gapi/src/utils.cpp

@@ -7,9 +7,7 @@
 #include "utils.hpp"
 
 cv::Scalar getNetShape(const std::string& path) {
-    InferenceEngine::Core ie;
-    const auto network = ie.ReadNetwork(path);
-    const auto layerName = network.getInputsInfo().begin()->first;
+    const auto network = InferenceEngine::Core{}.ReadNetwork(path);
     const auto layerData = network.getInputsInfo().begin()->second;
     const auto layerDims = layerData->getTensorDesc().getDims();
 
@@ -20,7 +18,6 @@ cv::Scalar getNetShape(const std::string& path) {
                       double(layerDims[3 + step]));
 }
 
-// FIXME: cv::FileStorage can't open this .json files
 void erase(std::string& str, const char symbol) {
     str.erase(std::remove(str.begin(), str.end(), symbol), str.end());
 };