OpenVINO notebooks documentation

Getting Started

• Hello Image Classification
• OpenVINO API Tutorial
• Hello Segmentation
• Hello Object Detection

Convert & Optimize

• Convert a TensorFlow Model to OpenVINO
• Convert a PyTorch Model to ONNX and OpenVINO IR
• Convert a PaddlePaddle Model to ONNX and OpenVINO IR
• Working with Open Model Zoo Models
• Quantize NLP models with OpenVINO Post-Training Optimization Tool ​
• Quantize a Segmentation Model and Show Live Inference

Model Demos

• Monodepth Estimation with OpenVINO
• Single Image Super Resolution with OpenVINO
• Video Super Resolution with OpenVINO
• Image Background Removal with U^2-Net and OpenVINO
• Photos to Anime with PaddleGAN and OpenVINO
• Super Resolution with PaddleGAN and OpenVINO
• Optical Character Recognition (OCR) with OpenVINO
• Live Inference and Benchmark CT-scan Data with OpenVINO

Model Training

• Post-Training Quantization with TensorFlow Classification Model
• From Training to Deployment with TensorFlow and OpenVINO
• Quantization Aware Training with NNCF, using PyTorch framework
• Quantization Aware Training with NNCF, using TensorFlow Framework

Live Demos

• Live Object Detection with OpenVINO
• Human Pose Estimation with OpenVINO

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