9ebacbb379
* 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> |
||
|---|---|---|
| .. | ||
| CMakeLists.txt | ||
| README.md | ||
| classification_sample_async.h | ||
| main.cpp | ||
README.md
Image Classification Async C++ Sample
This sample demonstrates how to do inference of image classification models using Asynchronous Inference Request API.
Models with only one input and output are supported.
In addition to regular images, the sample also supports single-channel ubyte images as an input for LeNet model.
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 | Python |
The following C++ API is used in the application:
| Feature | API | Description |
|---|---|---|
| Asynchronous Infer | ov::InferRequest::start_async, ov::InferRequest::set_callback |
Do asynchronous inference with callback. |
| Model Operations | ov::Output::get_shape, ov::set_batch |
Manage the model, operate with its batch size. Set batch size using input image count. |
| Infer Request Operations | ov::InferRequest::get_input_tensor |
Get an input tensor. |
| Tensor Operations | ov::shape_size, ov::Tensor::data |
Get a tensor shape size and its data. |