Landmarker¶
Version: 0.4.1
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.
New to Landmarker? Start here to learn how to install Landmarker and how to use it.
The examples section contains a collection of examples that demonstrate how to use Landmarker
The API reference contains a detailed description of all Landmarker’s methods, modules, and classes.
The development section contains information for developers who want to contribute to Landmarker.