From b78b0f7b72d7b17934c81150d8a9aa34bc36c0f8 Mon Sep 17 00:00:00 2001 From: ShrihanSolo Date: Tue, 3 Sep 2024 18:36:20 +0000 Subject: [PATCH] readme v6 --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index db47101..3ef6ae9 100644 --- a/README.md +++ b/README.md @@ -14,9 +14,9 @@ Scientific analysis requires an estimate of uncertainty on measurements. We adop Domain Adaptation aligns an unlabelled "target" dataset with a labelled "source" dataset, so that predictions can be performed on both with accuracy. For this project, both source and target datasets are generated using ```deeplenstronomy```. Below we show a single 3-band image simulated using the source and target datasets, as a comparison. -![plot](../src/training/MVEUDA/figures/source_example.png) +![plot](./src/training/MVEUDA/figures/source_example.png) -![plot](../src/training/MVEUDA/figures/target_example.png) +![plot](./src/training/MVEUDA/figures/target_example.png) The datasets with these images, as well as the training labels, can be downloaded from zenodo: https://zenodo.org/records/13647416.