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OpenVINO 2022.1 has introduced OpenVINO API 2.0. For more information on transition steps from the previous API, see the transition guide

  • OpenVINO™ Runtime API Tutorial
  • Hello Object Detection
  • Asynchronous Inference with OpenVINO™
  • Quantize a Segmentation Model and Show Live Inference
  • Quantize Speech Recognition Models using NNCF PTQ API
  • Convert a Tensorflow Lite Model to OpenVINO™
  • Optimize Preprocessing
  • Live Inference and Benchmark CT-scan Data with OpenVINO™
  • Convert a TensorFlow Model to OpenVINO™
  • Quantize NLP models with Post-Training Quantization ​in NNCF
  • Convert a PaddlePaddle Model to OpenVINO™ IR
  • Hello Model Server
  • Migrate quantization from POT API to NNCF API
  • Working with GPUs in OpenVINO™
  • Convert and Optimize YOLOv8 with OpenVINO™
  • Performance tricks in OpenVINO for throughput mode
  • Quantization of Image Classification Models
  • OpenVINO™ model conversion API
  • Convert a PyTorch Model to OpenVINO™ IR
  • Convert a TensorFlow Object Detection Model to OpenVINO™
  • Quantize Speech Recognition Models with accuracy control using NNCF PTQ API
  • Performance tricks in OpenVINO for latency mode
  • Automatic Device Selection with OpenVINO™
  • Post-Training Quantization of PyTorch models with NNCF
  • Working with Open Model Zoo Models
  • Accelerate Inference of Sparse Transformer Models with OpenVINO™ and 4th Gen Intel® Xeon® Scalable Processors
  • Convert a PyTorch Model to ONNX and OpenVINO™ IR
  • Image Colorization with OpenVINO
  • Text-to-Music generation using Riffusion and OpenVINO
  • Part Segmentation of 3D Point Clouds with OpenVINO™
  • Binding multimodal data using ImageBind and OpenVINO
  • Grammatical Error Correction with OpenVINO
  • Selfie Segmentation using TFLite and OpenVINO
  • Visual Question Answering and Image Captioning using BLIP and OpenVINO
  • Language-Visual Saliency with CLIP and OpenVINO™
  • Stable Diffusion v2.1 using Optimum-Intel OpenVINO
  • FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
  • Machine translation demo
  • Sentiment Analysis with OpenVINO™
  • The attention center model with OpenVINO™
  • Audio compression with EnCodec and OpenVINO
  • Zero-shot Image Classification with OpenAI CLIP and OpenVINO™
  • Single Image Super Resolution with OpenVINO™
  • Post-Training Quantization of OpenAI CLIP model with NNCF
  • Interactive question answering with OpenVINO™
  • Universal Segmentation with OneFormer and OpenVINO
  • Image Editing with InstructPix2Pix and OpenVINO
  • Video generation with ZeroScope and OpenVINO
  • Text Prediction with OpenVINO™
  • Industrial Meter Reader
  • Stable Diffusion Text-to-Image Demo
  • High-Quality Text-Free One-Shot Voice Conversion with FreeVC and OpenVINO™
  • Vehicle Detection And Recognition with OpenVINO™
  • OpenVINO optimizations for Knowledge graphs
  • Monocular Visual-Inertial Depth Estimation using OpenVINO™
  • Text-to-Image Generation with ControlNet Conditioning
  • Semantic Segmentation with OpenVINO™ using Segmenter
  • Photos to Anime with PaddleGAN and OpenVINO
  • Image In-painting with OpenVINO™
  • Infinite Zoom Stable Diffusion v2 and OpenVINO™
  • Cross-lingual Books Alignment with Transformers and OpenVINO™
  • Deblur Photos with DeblurGAN-v2 and OpenVINO™
  • Optical Character Recognition (OCR) with OpenVINO™
  • Instruction following using Databricks Dolly 2.0 and OpenVINO
  • Object masks from prompts with SAM and OpenVINO
  • Image generation with Stable Diffusion XL and OpenVINO
  • Video Super Resolution with OpenVINO™
  • Super Resolution with PaddleGAN and OpenVINO™
  • Image generation with DeepFloyd IF and OpenVINO™
  • Typo Detector with OpenVINO™
  • Image Background Removal with U^2-Net and OpenVINO™
  • Named entity recognition with OpenVINO™
  • Speech to Text with OpenVINO™
  • Convert and Optimize YOLOv8 with OpenVINO™
  • Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™
  • Monodepth Estimation with OpenVINO
  • Speaker diarization
  • Text-to-Image Generation with Stable Diffusion and OpenVINO™
  • Convert and Optimize YOLOv7 with OpenVINO™
  • Image Generation with Tiny-SD and OpenVINO™
  • Video Recognition using SlowFast and OpenVINO™
  • Handwritten Chinese and Japanese OCR with OpenVINO™
  • Video Subtitle Generation using Whisper and OpenVINO™
  • Controllable Music Generation with MusicGen and OpenVINO
  • Programming Language Classification with OpenVINO
  • Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware
  • From Training to Deployment with TensorFlow and OpenVINO™
  • Post-Training Quantization with TensorFlow Classification Model
  • Quantization Aware Training with NNCF, using TensorFlow Framework
  • Quantization Aware Training with NNCF, using PyTorch framework
  • Live Human Pose Estimation with OpenVINO™
  • Style Transfer with OpenVINO™
  • PaddleOCR with OpenVINO™
  • Person Tracking with OpenVINO™
  • Live Object Detection with OpenVINO™
  • Human Action Recognition with OpenVINO™
  • Live 3D Human Pose Estimation with OpenVINO
  • Sample Applications (Python & C++)
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