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 |
ov::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.