Landmarker

Version: 0.2.0

Useful links: Instalation instructions | Source repository | Issue tracker |

Landmarker is a PyTorch-based toolkit for (anatomical) landmark detection in images. It is designed to be easy to use and to provide a flexible framework for state-of-the-art landmark detection algorithms for small and large datasets. Landmarker was developed for landmark detection in medical images. However, it can be used for any type of landmark detection problem.

🚀 Getting started

New to Landmarker? Start here to learn how to install Landmarker and how to use it.

🔦 Examples

The examples section contains a collection of examples that demonstrate how to use Landmarker

📖 API reference

The API reference contains a detailed description of all Landmarker’s methods, modules, and classes.

🚧 Development

The development section contains information for developers who want to contribute to Landmarker.