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README.md

Model Creation Python Sample

This sample demonstrates how to run inference using a model built on the fly that uses weights from the LeNet classification model, which is known to work well on digit classification tasks. You do not need an XML file, the model is created from the source code on the fly.

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

Requirements

Options	Values
Validated Models	LeNet
Model Format	Model weights file (*.bin)
Supported devices	All
Other language realization	C++

The following OpenVINO Python API is used in the application:

Feature	API	Description
Model Operations	openvino.runtime.Model ,	Managing of model
	openvino.runtime.set_batch ,
	openvino.runtime.Model.input
Opset operations	openvino.runtime.op.Parameter,	Description of a model topology using OpenVINO Python API
	openvino.runtime.op.Constant ,
	openvino.runtime.opset8.convolution ,
	openvino.runtime.opset8.add ,
	openvino.runtime.opset1.max_pool ,
	openvino.runtime.opset8.reshape ,
	openvino.runtime.opset8.matmul ,
	openvino.runtime.opset8.relu ,
	openvino.runtime.opset8.softmax

Basic OpenVINO™ Runtime API is covered by Hello Classification Python* Sample.