47 lines
4.6 KiB
Markdown
47 lines
4.6 KiB
Markdown
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# Model Creation C++ Sample
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This sample demonstrates how to execute an synchronous inference using [model](https://docs.openvino.ai/2025/openvino-workflow/running-inference/model-representation.html) built on the fly which uses weights from LeNet classification model, which is known to work well on digit classification tasks.
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You do not need an XML file to create a model. The API of ov::Model allows creating a model on the fly from the source code.
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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/model-creation.html)
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## Requirements
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| Options | Values |
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| ----------------------------| -------------------------------------------------------------------------------------------------------------------------------|
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| Validated Models | LeNet |
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| Model Format | model weights file (\*.bin) |
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| Validated images | single-channel ``MNIST ubyte`` images |
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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/model-creation.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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| OpenVINO Runtime Info | ``ov::Core::get_versions`` | Get device plugins versions |
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| Shape Operations | ``ov::Output::get_shape``, | Operate with shape |
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| | ``ov::Shape::size``, | |
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| | ``ov::shape_size`` | |
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| Tensor Operations | ``ov::Tensor::get_byte_size``, | Get tensor byte size and its data |
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| | ``ov::Tensor:data`` | |
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| Model Operations | ``ov::set_batch`` | Operate with model batch size |
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| Infer Request Operations | ``ov::InferRequest::get_input_tensor`` | Get a input tensor |
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| Model creation objects | ``ov::opset8::Parameter``, | Used to construct an OpenVINO model |
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| | ``ov::Node::output``, | |
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| | ``ov::opset8::Constant``, | |
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| | ``ov::opset8::Convolution``, | |
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| | ``ov::opset8::Add``, | |
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| | ``ov::opset1::MaxPool``, | |
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| | ``ov::opset8::Reshape``, | |
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| | ``ov::opset8::MatMul``, | |
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| | ``ov::opset8::Relu``, | |
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| | ``ov::opset8::Softmax``, | |
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| | ``ov::descriptor::Tensor::set_names``, | |
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| | ``ov::opset8::Result``, | |
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| | ``ov::Model``, | |
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| | ``ov::ParameterVector::vector`` | |
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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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