A curated list of OpenVINO based AI projects. The most exciting community projects based on OpenVINO are highlighted here. Explore a rich assortment of OpenVINO-based projects, libraries, and tutorials that cover a wide range of topics, from model optimization and deployment to real-world applications in various industries.
This repository is a collaborative effort, continuously updated to provide you with the latest and most valuable resources for maximizing the potential of OpenVINO in your projects. If you want your project to appear in this list, please create a Pull Request or contact @DimaPastushenkov. Inspired by Awesome oneAPI
If your project is featured in this Awesome OpenVINO list, you are welcome to use the 'Mentioned in Awesome' badge on your project's repository.
OpenVINO™ is an open-source toolkit for AI inference optimization and deployment.
OpenVINO GitHub repo.
To download OpenVINO toolkit, go here.
A collection of ready-to-run Jupyter notebooks for learning and experimenting with the OpenVINO™ toolkit- OpenVINO Notebooks.
pip install openvino-openai-api. The project is created with AI coding assistance. You can read the journey and steps in the following 3 articles: part 1, part 2 and part 3VisionGuard - A desktop application designed for AI PCs to combat eye strain through real-time gaze tracking, developed during GSoC 2024 under the OpenVINO Toolkit. Built on OpenVINO's gaze estimation demo, VisionGuard offers customizable break reminders, screen time analytics, and multi-device support (CPU/GPU/NPU). It features an intuitive UI with system tray integration, leveraging OpenVINO, Qt, and OpenCV for efficient, privacy-focused local processing.
Visioncom Visioncom is based on open_model_zoo project demo, the assisted communication system employs advanced computer vision technologies, using the OpenCV and OpenVINO libraries, to provide an interactive solution for patients with Amyotrophic Lateral Sclerosis (ALS).
BMW-IntelOpenVINO-Detection-Inference-API - This is a repository for an object detection inference API using OpenVINO, supporting both Windows and Linux operating systems
yolov5_export_cpu - The project provides documentation on exporting YOLOv5 models for fast CPU inference using Intel's OpenVINO framework
LidarObjectDetection-PointPillars (C++ based, requires AI toolkit and OpenVINO). demonstrates how to perform 3D object detection and classification using input data (point cloud) from a LIDAR sensor.
Pedestrian fall detection - Pedestrian fall detection. Deploying PP-Human based on OpenVINO C # API
OpenVINO Tennis Posture - Deciphering Tennis Posture with Artificial Intelligence
Cigarette Detection - The project begins by YOLOv8-pose detecting human body positions and extracting skeletal information from images. Based on the skeletal poses, it assesses the elbow angles and the distance between hands and mouths for each individual. If successful, the RTDETR model is employed to detect cigarettes at the mouth zone.
FastSAM_Awesome_OpenVINO - The Fast Segment Anything Model(FastSAM) is a CNN Segment Anything Model trained by only 2% of the SA-1B dataset published by SAM authors. The FastSAM achieve a comparable performance with the SAM method at 50× higher run-time speed.
Computer Vision Models As Service - implements different Computer Vision Deep Learning Models as a service.
Dance-with: Dance with your friends with the right pose! - Dance-with corrects your dance posture using multi-person OpenPose, 2D pose estimation Deep Learning model.
Target-Person-Tracking-System - Integration of face recognition and person tracking.
Metin2 Bot - bots for video game Metin2.
Machine control - industrial machine surveillance system designed to help increase efficiency of processes.
MeetingCam - Run your AI and CV algorithms in online meetings such as Zoom, Meets or Teams!
Virtual-Tryon - Use AI to try on clothes with your pictures.
DepthAI Experiments - A collections of projects done with DepthAI.
Project Babble - Mouth tracking project designed to work with any existing VR headset.
Group Pose - A Simple Baseline for End-to-End Multi-person Pose Estimation.
Frigate - NVR With Realtime Object Detection for IP Cameras.
CGD OpenVINO Demo - Efficient Inference and Quantization of CGD for Image Retrieval.
Risk package detection - Threat Detection and Unattended Baggage Detection with Associated Person Tracking.
YOLOv7-Intel - Object Detection For Autonomous Vehicles.
Cerberus - Dog Breed Classification and Body Localization.
Criminal Activity recognition - Criminal Activity Video Surveillance.
RapidOCR on OpenVINO GPU - A modified verison of RapidOCR to support OpenVINO GPU.
Yolov9 with OpenVINO - C++ and python implementation of YOLOv9 using OpenVINO
OpenVINO-Deploy - A repository showcasing the deployment of popular object detection AI algorithms using the OpenVINO C++ API for efficient inference.
Clip-Chinese - Chinese image-text similarity matching tasks, leverage OpenVINO and the Towhee embedding library.
The Power of Florence-2 with OpenVINO & FiftyOne: Real-World Applications in Image Analysis - Highlighting the Power and Flexibility of Using OpenVINO, Florence-2, and FiftyOne to Efficiently Create, Annotate, Explore, and Curate a Computer Vision Dataset.
From CPU to NPU: The Secret to ~15x Faster AI on Intel’s Latest Chips - This post discusses Intel's new Neural Processing Unit (NPU) chips, which provide a significant performance boost for AI and machine learning tasks compared to regular CPUs, and provides steps for testing its capabilities using OpenVINO.
JAX: Artificial Intelligence for everyone. - JAX (Just an Artificial Intelligence Extended) is an optimized version of the openSUSE Linux image to work with openVINO. This platform was designed to facilitate the access and development of AI applications.
Shared Memory for AI inference - Shared memory interface between OpenVINO and CODESYS. It allows to exchange variable between Control Application, written in IEC and OpenVINO Application, which performs inference
webnn-native- WebNN Native is an implementation of the Web Neural Network API, providing building blocks, headers, and backends for ML platforms including DirectML, OpenVINO, and XNNPACK.
NVIDIA GPU Plugin - allows to perform deep neural networks inference on NVIDIA GPUs using CUDA, using OpenVINO API.
Token Merging for Stable Diffusion running with OpenVINO - An OpenVINO adopted version of Token Merging method.
Drug Discovery “Lipophilicity” using OpenVINO toolkit- Finding Lipophilicity of peptides, proteins and molecules.
[Drug Discovery “Openshift and Pytorch” using OpenVINO toolkit](https://github.com/AbhiLegend/DrugDisOpenVINO-The complete Drug Discovery Pipeline using OpenVINO,IPEX,RAG on Red HAT OpenshiftAI Sandboxed environment.
OpenVINO Quantization- Image Quantization Classification using STL 10 Dataset.
who_what_benchmark - Simple and quick accuracy test for compressed, quantized, pruned, distilled LLMs from NNCF, Bitsandbytes, GPTQ, and BigDL-LLM.
OpenVINO with Docker - Dockerizing OpenVINO applications.
OpenVINO AICG Samples - A collection of samples for NLP and Image Generation.
OpenVINO Model Server k8s Terraform - Deploying Kubernetes cluster via Terraform as well as deploying and hosting a OpenVINO Model Server on it.
Application of Vision Language Models with ROS 2 - Dives into vision-language models for Robotics applications using ROS 2 and Intel OpenVINO toolkit.
See Awesome oneAPI for leading oneAPI and SYCL projects across diverse industries.
OpenVINO takes advantage of the discrete GPUs using Intel oneAPI, an open programming model for multiarchitecture programming. The oneAPI-samples repository demonstrates the performance and productivity offered by Intel oneAPI and its toolkits such as oneDNN in a multi-architecture environment.
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