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* Merge samples * Update docs/articles_en/learn_openvino/openvino_samples/automatic_speech_recognition.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * additional resources * Update docs/articles_en/learn_openvino/openvino_samples/model_creation.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * Update docs/articles_en/learn_openvino/openvino_samples/automatic_speech_recognition.rst Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> * reorganize contents of requirements * remove api reference * add links to READMEs on repo * remove speech recognition sample * removal of deprecation notice * update conversion steps * Revert remove speech recognition sample * remove trailing spaces * fix links * Removed unwanted changes from submodules * applying suggestions * update api reference * apply suggestions --------- Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> |
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| .. | ||
| README.md | ||
| hello_classification.py | ||
| requirements.txt | ||
README.md
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 |
|---|---|
| Validated Models | alexnet, |
| googlenet-v1 | |
| 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 |