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README.md

Hello Reshape SSD C++ Sample

This sample demonstrates how to do synchronous inference of object detection models using input reshape feature. Models with only one input and output are supported.

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

Requirements

Options	Values
Validated Models	person-detection-retail-0013
Model Format	OpenVINO™ toolkit Intermediate Representation (.xml + .bin), ONNX (*.onnx)
Supported devices	All
Other language realization	Python

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

Feature	API	Description
Node operations	`ov::Node::get_type_info`,	Get a node info
	`ngraph::op::DetectionOutput::get_type_info_static`,
	`ov::Output::get_any_name`,
	`ov::Output::get_shape`
Model Operations	`ov::Model::get_ops`,	Get model nodes, reshape input
	`ov::Model::reshape`
Tensor Operations	`ov::Tensor::data`	Get a tensor data
Preprocessing	`ov::preprocess::PreProcessSteps::convert_element_type`,	Model input preprocessing
	`ov::preprocess::PreProcessSteps::convert_layout`

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