OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Updated
Jun 7, 2024 - C++
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
📚 Jupyter notebook tutorials for OpenVINO™
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Repository for OpenVINO's extra modules
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
Neural Network Compression Framework for enhanced OpenVINO™ inference
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A scalable inference server for models optimized with OpenVINO™
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.
Segment Anything Model (SAM) interactive demo with OpenVINO
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.
Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.
The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
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