* InputTensorInfo::from implementation
If user's application already has `ov::runtime::Tensor` object created,
it will be possible to reuse basic characteristics for input (shape, precision) from tensor using InputTensorInfo::from method
* Rename 'from' to 'set_from' as in Python 'from' keyword is used for import modules
Python bindings: from ov.Tensor and from numpy array
* Style fix (quotes)
* Apply suggestions from code review
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* Fix code style
* Use set_from in hello_classification CPP sample
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* ov2.0 IE samples modification
apply code style
turn off clang style check for headers order
unify samples a bit
add yuv nv12 reader to format_reader, helloe_nv112 sample
hello_reshape_ssd ov2.0
* sync with PR 8629 preprocessing api changes
* fix for slog << vector<int>
* add operator<< for ov::Version from PR-8687
* Update samples/cpp/hello_nv12_input_classification/main.cpp
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
* apply code style
* change according to review comments
* add const qualifier
* apply code style
* std::ostream for old inference engine version to make VPU plugin tests happy
* apply code style
* revert changes in print version for old api samples
* keep inference_engine.hpp for not ov2.0 yet samples
* fix merge artifacts
* fix compilation
* apply code style
* Fixed classification sample test
* Revert changes in hello_reshape_ssd sample
* rebase to master, sync with PR-9054
* fix issues found by C++ tests
* rebased and sync with PR-9051
* fix test result parsers for classification tests (except unicode one)
* fix mismatches after merge
* rebase and sync with PR-9144
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
Co-authored-by: antonrom23 <anton.romanov@intel.com>
