From 3b0d1a93e19ef9e4b08d300eabb612038e470503 Mon Sep 17 00:00:00 2001
From: Muhammad Asad <muhammad.asad@kcl.ac.uk>
Date: Fri, 9 Feb 2024 21:30:45 +0000
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

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 [![status](https://joss.theoj.org/papers/d0b6e3daa4b22fec471691c6f1c60e2a/status.svg)](https://joss.theoj.org/papers/d0b6e3daa4b22fec471691c6f1c60e2a)
 [![CI Build](https://github.com/masadcv/FastGeodis/actions/workflows/build.yml/badge.svg)](https://github.com/masadcv/FastGeodis/actions/workflows/build.yml)
 [![PyPI version](https://badge.fury.io/py/FastGeodis.svg)](https://badge.fury.io/py/FastGeodis)
-<img src="https://img.shields.io/badge/Python-3.6%20|%203.7%20|%203.8%20|%203.9%20|%203.10%20-3776ab.svg"/>
+<img src="https://img.shields.io/badge/Python-3.8%20|%203.9%20|%203.10%20|%203.11%20-3776ab.svg"/>
 <img src="https://img.shields.io/badge/PyTorch-%3E%3D%201.5.0-brightgreen.svg"/>
 <!--<img src="https://img.shields.io/pypi/dm/fastgeodis.svg?label=PyPI%20downloads&logo=python&logoColor=green"/>-->
 This repository provides CPU (OpenMP) and GPU (CUDA) implementations of Generalised Geodesic Distance Transform in PyTorch for 2D and 3D input data based on parallelisable raster scan ideas from [1]. It includes methods for computing Geodesic, Euclidean distance transform and mixture of both.