This extension includes a set of useful code snippets for developing OpenVINO.All the snippets starts with "ov", so typing a letter ov gives recommendation for all the available OpenVINO snippets.

The extension snippets sets includes:

• ov:example: Sample Code for model deployment workflow.
• ov:init: Create OpenVINO™ Runtime Core".
• ov:device: Show available_devices in your computer.
• ov:compile: Reading and Loading a Model.
• ov:inputinfo: Get model input information.
• ov:outputinfo: Get model output information.
• ov:input: Set input tensor.
• ov:output: Process output tensor.
• ov:request: Create an Inference Request
• ov:infer: Do inference synchronously.
• ov:ppp: Integrate Preprocessing steps into execution graph.
• ov:reshape: Change model input shape.
• ov:dynamic: Configure the dynamic input shape.
• ov:queue: Create infer request queue.
• ov:caching: create a model_cache directory as a subdirectory of model, where the model will be cached for the specified device.

Install Visual Studio Code from here. Install this extension by selecting Install Extension in the command pallette (cmd-shift-x) and searching for "OpenVINO Snippets".

The generated code also relies on the following python dependencies:

1. Python runtime: pip install openvino
2. C++ runtime: [Download Page](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)