OpenVINO notebooks documentation¶
Getting Started¶
Convert & Optimize¶
- Hello Model Server
- Working with Open Model Zoo Models
- Quantize a Segmentation Model and Show Live Inference
- Convert a PaddlePaddle Model to OpenVINO™ IR
- Convert a PyTorch Model to ONNX and OpenVINO™ IR
- INT8 Quantization with Post-training Optimization Tool (POT) in Simplified Mode tutorial
- Quantize NLP models with Post-Training Quantization in NNCF
- Asynchronous Inference with OpenVINO™
- Accelerate Inference of Sparse Transformer Models with OpenVINO™ and 4th Gen Intel® Xeon® Scalable Processors
- Quantize Speech Recognition Models with OpenVINO™ Post-Training Optimization Tool
- Optimize Preprocessing
- Migrate quantization from POT API to NNCF API
- Performance tricks in OpenVINO for latency mode
- Automatic Device Selection with OpenVINO™
- Live Inference and Benchmark CT-scan Data with OpenVINO™
- Post-Training Quantization of PyTorch models with NNCF
- Quantization of Image Classification Models
- Convert a TensorFlow Model to OpenVINO™
- Quantize Speech Recognition Models with OpenVINO™ Post-Training Optimization Tool
Model Demos¶
- Visual Question Answering and Image Captioning using BLIP and OpenVINO
- Deblur Photos with DeblurGAN-v2 and OpenVINO™
- Monodepth Estimation with OpenVINO
- Interactive question answering with OpenVINO™
- Speaker diarization
- Image Editing with InstructPix2Pix and OpenVINO
- Part Segmentation of 3D Point Clouds with OpenVINO™
- Speech to Text with OpenVINO™
- OpenVINO optimizations for Knowledge graphs
- Single Image Super Resolution with OpenVINO™
- Zero-shot Image Classification with OpenAI CLIP and OpenVINO™
- Object masks from prompts with SAM and OpenVINO
- Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™
- Photos to Anime with PaddleGAN and OpenVINO
- Infinite Zoom Stable Diffusion v2 and OpenVINO™
- Image Background Removal with U^2-Net and OpenVINO™
- Super Resolution with PaddleGAN and OpenVINO™
- Industrial Meter Reader
- Handwritten Chinese and Japanese OCR with OpenVINO™
- Grammatical Error Correction with OpenVINO
- Convert and Optimize YOLOv8 with OpenVINO™
- Video Subtitle Generation using Whisper and OpenVINO™
- Text Prediction with OpenVINO™
- Conversation with PersonaGPT using OpenVINO™
- Language-Visual Saliency with CLIP and OpenVINO™
- Audio compression with EnCodec and OpenVINO
- Image Colorization with OpenVINO
- Text-to-Image Generation with Stable Diffusion and OpenVINO™
- Sentiment Analysis with OpenVINO™
- Image In-painting with OpenVINO™
- Text-to-Image Generation with ControlNet Conditioning
- Convert and Optimize YOLOv7 with OpenVINO™
- Video Super Resolution with OpenVINO™
- Vehicle Detection And Recognition with OpenVINO™