* Add information about model preparation
* Add the missed file extension for the onnx model
* [c] Add information about model preparation
* [cpp] Add information about model preparation
* Update the string about model converter
* Specify a model name at steps 1 and 2 of the running example
* Update readme of python samples
* Add info about ubyte image support to ngraph function creation sample readme
* Move lang after sample name
* Update sample output sections
* Remove API used in the hello classification sample from other sample readme's
* Update sample readme files to resolve conversations
* Add a note about color inversion
* Fix the wrong link to shape inference feature
* Update sample output for the hello query device sample
* refactor: update ie python samples
* python samples: change comment about infer request creation (step 5)
* python sample: add the ability to run object_detection_sample_ssd.py with a model with 2 outputs
* Add batch size usage to python style transfer sample
* Change comment about model reading
* Add output queue to classification async sample
* add reshape for output to catch results with more than 2 dimensions (classification samples)
* Set a log output stream to stdout to pass the hello query device test
* Add comments to the hello query device sample
* Set sys.stdout as a logging stream for all python IE samples
* Add batch size usage to ngraph_function_creation_sample
* Return the ability to read an image from a ubyte file
* Add few comments and function docstrings
* Restore IE python classification samples output
* Add --original_size arg for python style transfer sample
* Change log message to pass tests (object detection ie python sample)
* Return python shebang
* Add comment about a probs array sorting using np.argsort
* Fix the hello query python sample (Ticket: 52937)
* Add color inversion for light images for correct predictions
* Add few log messages to the python device query sample
* refactor: update ie python samples
* python samples: change comment about infer request creation (step 5)
* python sample: add the ability to run object_detection_sample_ssd.py with a model with 2 outputs
* Add batch size usage to python style transfer sample
* Change comment about model reading
* Add output queue to classification async sample
* add reshape for output to catch results with more than 2 dimensions (classification samples)
* Set a log output stream to stdout to pass the hello query device test
* Add comments to the hello query device sample
* Set sys.stdout as a logging stream for all python IE samples
* Add batch size usage to ngraph_function_creation_sample
* Return the ability to read an image from a ubyte file
* Add few comments and function docstrings
* Restore IE python classification samples output
* Add --original_size arg for python style transfer sample
* Change log message to pass tests (object detection ie python sample)
* Return python shebang
* Add comment about a probs array sorting using np.argsort
* update license
* remove the first blank lines and undo changes in inference-engine/thirdparty/mkl-dnn
* test commit
* Update license in tools
* Undo changes in api_overview.md
* update ie_api.pyx and set interpreter in hello_query_device
Dmitry Pigasin