notebooks

Anomalib notebooks

This is a great place in our repo where you can try some capabilities and functions you can achive with Anomalib. First follow the installation guide and then explore the notebooks that it offer to you.

⚙️ Installation Guide

To install Python, Git and other required tools, OpenVINO Notebooks repository provides a good documentation. For more details please refer to the Installation Guide.

Windows	Ubuntu	macOS	Red Hat	CentOS	Azure ML	Docker	Amazon SageMaker

Useful Jupyter Notebooks to get started with Anomalib

0. Training and Inference

Notebook	GitHub	Colab
Getting Started	001_getting_started

1. Data Modules

Notebook	GitHub	Colab
BTech	101_btech
MVTec	102_mvtec
Folder	103_folder

2. Models

Notebook	GitHub	Colab
Model	201_fastflow

3. Benchmarking and Hyperparameter Optimization

Notebook	GitHub	Colab
Benchmarking	301_benchmarking
HPO with wandb	302_hpo_wandb

4. OpenVINO Optimization

Notebook	GitHub	Colab
Quantization	401_NNCF

3. Use cases

Notebook	GitHub	Colab
Dobot Dataset Creation	501a_training
Training	501b_training