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Sebastian Golebiewski 9ebacbb379 [DOCS] Merge Samples Articles Language Versions (#21661 ) * Merge samples * Update docs/articles_en/learn_openvino/openvino_samples/automatic_speech_recognition.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * additional resources * Update docs/articles_en/learn_openvino/openvino_samples/model_creation.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples/automatic_speech_recognition.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * reorganize contents of requirements * remove api reference * add links to READMEs on repo * remove speech recognition sample * removal of deprecation notice * update conversion steps * Revert remove speech recognition sample * remove trailing spaces * fix links * Removed unwanted changes from submodules * applying suggestions * update api reference * apply suggestions --------- Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com>		2024-01-12 14:24:15 +01:00
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CMakeLists.txt	Moved cmake functions, variables to API 2.0 naming style (#20281 )	2023-10-09 22:30:32 +04:00
README.md	[DOCS] Merge Samples Articles Language Versions (#21661 )	2024-01-12 14:24:15 +01:00
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README.md

Hello NV12 Input Classification C++ Sample

This sample demonstrates how to execute an inference of image classification models with images in NV12 color format using Synchronous Inference Request API.

For more detailed information on how this sample works, check the dedicated article

Requirements

Options	Values
Validated Models	alexnet <omz_models_model_alexnet
Model Format	OpenVINO™ toolkit Intermediate Representation (.xml + .bin), ONNX (*.onnx)
Validated images	An uncompressed image in the NV12 color format - *.yuv
Supported devices	All
Other language realization	C

The following C++ API is used in the application:

Feature	API	Description
Node Operations	`ov::Output::get_any_name`	Get a layer name
Infer Request Operations	`ov::InferRequest::set_tensor`,	Operate with tensors
	`ov::InferRequest::get_tensor`
Preprocessing	`ov::preprocess::InputTensorInfo::set_color_format`,	Change the color format of the input data
	`ov::preprocess::PreProcessSteps::convert_element_type`,
	`ov::preprocess::PreProcessSteps::convert_color`

Basic OpenVINO™ Runtime API is covered by Hello Classification C++ sample.