Pre-trained Deep Learning models and demos (high quality and extremely fast)

Inference engine for Intel devices. Serve LLMs, VLMs, Whisper, Kokoro-TTS, Embedding and Rerank models over OpenAI endpoints.

A lightweight pure C++ Text-to-Speech (TTS) pipeline with OpenVINO, supporting multiple languages.

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This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

Deep learning based gaze estimation demo with a fun feature :-)

Person or face detection and matching from multiple image inputs using Intel OpenVINO toolkit

OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Deep Learning Based Interactive Image Inpainting Demo

The Intel® Automated Self-Checkout Reference Package provides critical components required to build and deploy a self-checkout use case using Intel® hardware, software, and other open-source components.

Low latency resilient people detection and counting for edge devices

Use TensorFlow and PYXInput to create AI's for any video game

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Model Preparation Algorithm: a Transfer Learning Framework

Describing How to Enable OpenVINO Execution Provider for ONNX Runtime

Deep learning based human pose estimation demo in Python using Intel OpenVINO toolkit

This is Computer Pointer(Mouse Arrow) Controller using Eye Gaze, A Machine Learning based Project

Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]

OpenVINO™ Toolkit - Deep Learning Workbench repository Auxuliary Assets

VisionGuard functions as a standalone desktop application using a webcam to detect the user's gaze and estimate screen time. Leverages the Neural Processing Unit (NPU) of an AI PC for local inference.

Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.

Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit

Real-Time Face Anonymizer Algorithm using Intel OpenVINO

Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢

This is a tiny Python class library to wrap and abstract the OpenVINO Inference Engine.

Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE

YOLOv5 inferencing using Intel Openvino toolkit

Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.

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