33 lines
3.3 KiB
Markdown
33 lines
3.3 KiB
Markdown
# Hello Reshape SSD C++ Sample
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This sample demonstrates how to do synchronous inference of object detection models using [input reshape feature](https://docs.openvino.ai/2025/openvino-workflow/running-inference/model-input-output/changing-input-shape.html).
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Models with only one input and output are supported.
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For more detailed information on how this sample works, check the dedicated [article](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-reshape-ssd.html)
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## Requirements
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| Options | Values |
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| ----------------------------| -----------------------------------------------------------------------------------------------------------------------------------------|
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| Validated Models | [person-detection-retail-0013](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/intel/person-detection-retail-0013) |
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| Model Format | OpenVINO™ toolkit Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx) |
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| Supported devices | [All](https://docs.openvino.ai/2025/documentation/compatibility-and-support/supported-devices.html) |
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| Other language realization | [Python](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-reshape-ssd.html) |
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The following C++ API is used in the application:
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| Feature | API | Description |
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| -------------------------| ------------------------------------------------------------|------------------------------------------------|
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| Node operations | ``ov::Node::get_type_info``, | Get a node info |
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| | ``ov::op::DetectionOutput::get_type_info_static``, | |
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| | ``ov::Output::get_any_name``, | |
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| | ``ov::Output::get_shape`` | |
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| Model Operations | ``ov::Model::get_ops``, | Get model nodes, reshape input |
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| | ``ov::Model::reshape`` | |
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| Tensor Operations | ``ov::Tensor::data`` | Get a tensor data |
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| Preprocessing | ``ov::preprocess::PreProcessSteps::convert_element_type``, | Model input preprocessing |
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| | ``ov::preprocess::PreProcessSteps::convert_layout`` | |
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Basic OpenVINO™ Runtime API is covered by [Hello Classification C++ sample](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-classification.html).
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