message: python/dnn: explain the location of the necessary files
diff: @@ -6,6 +6,8 @@ This example demonstrates object detection on a combination between the depth f
  It works with model taken from [MobileNet-SSD](https://github.com/chuanqi305/MobileNet-SSD/).
  Building the project with CMake will download prototxt and caffemodel, used for object detection.
  +After building the python bindings, the two necessary files for this script will be found in the build/bindings/python/examples/dnn/ directory.
  +
  For running the python program use:
  ```console
  python dnn.py --prototxt \pathTo\MobileNetSSD_deploy.prototxt --weights \pathTo\MobileNetSSD_deploy.caffemodel
  