openvino/inference-engine/samples/hello_request_classification

Hello Infer Request Classification Sample

This topic describes how to run the Hello Infer Classification sample application. The sample is simplified version of Image Classification Sample. It's intended to demonstrate using of new Infer Request API of Inference Engine in applications. Refer to Integrate with customer application New Request API for details.

Running

You can do inference on an image using a trained AlexNet network on Intel® Processors using the following command:

./hello_autoresize_classification <path_to_model>/alexnet_fp32.xml <path_to_image>/cat.bmp CPU

NOTE: Before running the sample with a trained model, make sure the model is converted to the Inference Engine format (*.xml + *.bin) using the Model Optimizer tool.

Outputs

The application outputs top-10 inference results.

See Also

• Using Inference Engine Samples