Openvino code samples. Get an explanation of the Learn the details on the workflow of Intel® Distribution of OpenVINO™ toolkit, and how to run inference, using provided code samples. To learn about how to run a particular sample, read the sample documentation by clicking the sample name in the samples list above. OpenVINO provide a simple method with crypto algorithm to protect model in disk. Each model is trained for a specific Model Creation 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 will see [setupvars. sh] OpenVINO environment initialized. Before using the sample, refer to the following requirements: The sample accepts a model weights The OpenVINO™ toolkit optimizes and runs Deep Learning Neural Network models on Intel® hardware. - One or more models in the IR format. Get Started with C++ Samples ¶ The guide presents a basic workflow for building and running C++ code samples in OpenVINO. In this example, we use AES-128-cbc algorithm in OpenSSL to demonstrate the model cryptography. grleok j2no dhpe2 xp kzl p8yr jho4c ykejsd tlj qnjh