History

Jacek Pawlak 239466ca5d copyright year update (#23370 ) New PR due to merge conflicts(https://github.com/openvinotoolkit/openvino/pull/22917) Updated the copyright year from 2018-2023 to 2018-2024 in all openvino files Ref. to script: CVS-101144 Command used: ```bash git grep -lz '2018-2023 Intel Corporation' \| xargs -0 sed -i '' -e 's/2018-2023 Intel Corporation/2018-2024 Intel Corporation/g' ```		2024-03-14 09:37:02 +00:00
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README.md	[DOCS] Update of hyperlinks to 2024 + new ov homepage diagram image for master (#23091 )	2024-02-28 07:54:04 +00:00
hello_classification.py	copyright year update (#23370 )	2024-03-14 09:37:02 +00:00
requirements.txt	Relax OpenCV dependency (#14968 )	2023-01-06 14:42:43 +03:00

Hello Classification Python Sample

This sample demonstrates how to do inference of image classification models using Synchronous Inference Request API.

Models with only 1 input and output are supported.

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

Requirements

Options	Values
Model Format	OpenVINO™ toolkit Intermediate Representation (.xml + .bin), ONNX (.onnx)
Supported devices	All
Other language realization	C++, C,

The following Python API is used in the application:

Feature	API	Description
Basic Infer Flow	openvino.runtime.Core ,
	openvino.runtime.Core.read_model,
	openvino.runtime.Core.compile_model	Common API to do inference
Synchronous Infer	openvino.runtime.CompiledModel.infer_new_request,	Do synchronous inference
Model Operations	openvino.runtime.Model.inputs,	Managing of model
	openvino.runtime.Model.outputs,
Preprocessing	openvino.preprocess.PrePostProcessor,	Set image of the original size as input for a model with other input size.
	openvino.preprocess.InputTensorInfo.set_element_type,	Resize and layout conversions will be performed automatically by the corresponding plugin just before inference
	openvino.preprocess.InputTensorInfo.set_layout,
	openvino.preprocess.InputTensorInfo.set_spatial_static_shape,
	openvino.preprocess.PreProcessSteps.resize,
	openvino.preprocess.InputModelInfo.set_layout,
	openvino.preprocess.OutputTensorInfo.set_element_type,
	openvino.preprocess.PrePostProcessor.build