openvino/samples/cpp/hello_nv12_input_classification

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.