43 lines
8.1 KiB
Markdown
43 lines
8.1 KiB
Markdown
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# Hello Classification C Sample
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This sample demonstrates how to execute an inference of image classification networks like AlexNet and GoogLeNet using Synchronous Inference Request API and input auto-resize feature.
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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/hello-classification.html)
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## Requirements
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| Options | Values |
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| ---------------------------| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| Model Format | OpenVINO Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx) |
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| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png) |
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| Supported devices | [All](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-classification.html) |
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| Other language realization | [C++](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-classification.html), |
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| | [Python](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/hello-classification.html) |
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Hello Classification C sample application demonstrates how to use the C API from OpenVINO in applications.
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| Feature | API | Description |
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| -------------------------| ------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| OpenVINO Runtime Version | ``ov_get_openvino_version`` | Get Openvino API version. |
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| Basic Infer Flow | ``ov_core_create``, | Common API to do inference: read and compile a model, create an infer request, configure input and output tensors |
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| | ``ov_core_read_model``, | |
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| | ``ov_core_compile_model``, | |
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| | ``ov_compiled_model_create_infer_request``, | |
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| | ``ov_infer_request_set_input_tensor_by_index``, | |
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| | ``ov_infer_request_get_output_tensor_by_index`` | |
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| Synchronous Infer | ``ov_infer_request_infer`` | Do synchronous inference |
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| Model Operations | ``ov_model_const_input``, | Get inputs and outputs of a model |
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| | ``ov_model_const_output`` | |
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| Tensor Operations | ``ov_tensor_create_from_host_ptr`` | Create a tensor shape |
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| Preprocessing | ``ov_preprocess_prepostprocessor_create``, | Set image of the original size as input for a model with other input size. Resize and layout conversions are performed automatically by the corresponding plugin just before inference. |
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| | ``ov_preprocess_prepostprocessor_get_input_info_by_index``, | |
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| | ``ov_preprocess_input_info_get_tensor_info``, | |
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| | ``ov_preprocess_input_tensor_info_set_from``, | |
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| | ``ov_preprocess_input_tensor_info_set_layout``, | |
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| | ``ov_preprocess_input_info_get_preprocess_steps``, | |
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| | ``ov_preprocess_preprocess_steps_resize``, | |
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| | ``ov_preprocess_input_model_info_set_layout``, | |
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| | ``ov_preprocess_output_set_element_type``, | |
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| | ``ov_preprocess_prepostprocessor_build`` | |
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