From e58cc7208fa648104c64a3398457f8fb2f0b93b9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Paul=20J=C3=BCr=C3=9F?= <115639115+pauljuerss@users.noreply.github.com> Date: Tue, 29 Oct 2024 09:51:30 +0100 Subject: [PATCH] Add proper codecov badge --- README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5a1cb76..a85d3ad 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,8 @@ ![Lifecycle](https://img.shields.io/badge/lifecycle-archived-red.svg) ![Lifecycle](https://img.shields.io/badge/lifecycle-dormant-blue.svg) --> [![Build status](https://github.com/JuliaImageRecon/TrainingPhantoms.jl/workflows/CI/badge.svg)](https://github.com/JuliaImageRecon/TrainingPhantoms.jl/actions) -[![codecov.io](http://codecov.io/github/JuliaImageRecon/TrainingPhantoms.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaImageRecon/TrainingPhantoms.jl?branch=master) +[![codecov][codecov-img]][codecov-url] + ## Purpose This Julia package contains a collection of methods that generate different kinds of phantom with the aim of being used to synthesise machine learning datasets. Currently, there exist two generator methods @@ -26,3 +27,7 @@ To help you get started, we have provided examples for each generator. The can b ![combined](https://github.com/JuliaImageRecon/TrainingPhantoms.jl/assets/115639115/5babfffa-c464-4b32-99b4-da8cd4e12e86) + + +[codecov-img]: https://codecov.io/github/JuliaImageRecon/TrainingPhantoms.jl/coverage.svg?branch=main +[codecov-url]: https://codecov.io/github/JuliaImageRecon/TrainingPhantoms.jl?branch=main