From 9c45878820ca22faff26bef9ce4e05db7758ca51 Mon Sep 17 00:00:00 2001 From: Hauke Kirchner <hauke.gronenberg@gwdg.de> Date: Tue, 11 Feb 2025 11:51:04 +0000 Subject: [PATCH] fixed typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c9f1dc1..2922910 100644 --- a/README.md +++ b/README.md @@ -157,7 +157,7 @@ Log into the frontend node `glogin9`. The data for the course lives in `/scratch This data is reachable from all the Grete-GPUs and the login node `glogin9`. This data is sufficient for running all examples workflows of this repository. -Our use case is the pre-training of a PointNet[^pointnet] model using synthetic lidar data of forests. The data was generated with [SynForest](https://gitlab-ce.gwdg.de/hpc-team-public/science-domains-blog/-/blob/main/20231204_synforest.md)[^synforest], a workflow developed by us in the project [ForestCare](https://hps.vi4io.org/research/projects/forestcare/start). Using SynForest you can easily generate lidar data of forests that fits your requirements. +Our use case is the pre-training of a PointNet[^pointnet] model using synthetic lidar data of forests. The data was generated with [SynForest](https://gitlab-ce.gwdg.de/hpc-team-public/science-domains-blog/-/blob/main/20231204_synforest.md), a workflow developed by us in the project [ForestCare](https://hps.vi4io.org/research/projects/forestcare/start). Using SynForest you can easily generate lidar data of forests that fits your requirements. [^pointnet]: Qi et al. (2017) PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (https://github.com/charlesq34/pointnet) -- GitLab