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Jacek Pawlak 239466ca5d copyright year update (#23370 ) New PR due to merge conflicts(https://github.com/openvinotoolkit/openvino/pull/22917) Updated the copyright year from 2018-2023 to 2018-2024 in all openvino files Ref. to script: CVS-101144 Command used: ```bash git grep -lz '2018-2023 Intel Corporation' \| xargs -0 sed -i '' -e 's/2018-2023 Intel Corporation/2018-2024 Intel Corporation/g' ```		2024-03-14 09:37:02 +00:00
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README.md

Hello NV12 Input Classification C Sample

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

Hello NV12 Input Classification C Sample demonstrates how to use the NV12 automatic input pre-processing API in your applications.

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

Requirements

Options	Values
Model Format	OpenVINO 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_port_get_any_name`	Get a layer name
Infer Request Operations	`ov_infer_request_set_tensor`,	Operate with tensors
	`ov_infer_request_get_output_tensor_by_index`
Preprocessing	`ov_preprocess_input_tensor_info_set_color_format`,	Change the color format of the input data
	`ov_preprocess_preprocess_steps_convert_element_type`,
	`ov_preprocess_preprocess_steps_convert_color`

Basic OpenVINO API is covered by Hello Classification C sample.