GWDG – IT in der Wissenschaft
Reliable software environments are often a problem for data scientists. This becomes an issue especially when the analysis needs to be run on different machines – colleagues laptop, cloud VM or HPC cluster. Here we introduce the idea of containerised software environments in the use case of a deep learning workflow. A more general view … Weiterlesen
As part of the BMBF founded project FORESTCARE we have developed SynForest, an application that generates high-quality point cloud datasets of synthetic forests. For this purpose, we aimed to produce realistic patterns by combining forest growth simulation tools such as ForestFactory2 with tree shape modeling based on real data from existing databases such as PyTreeDB3. … Weiterlesen
There are many python packages that are tightly integrated with Dask which enables parallel data processing. For instance, consider xarray package. This package is used to read datasets in netcdf, hdf5, zarr file formats. Dask comes in play when data is read from multile files where each file is treated as a chunk or by … Weiterlesen
The GWDG offers two systems for high-performance computing; the Scientific Compute Cluster (SCC) and Emmy. Scientific Compute Cluster – SCC For researchers of the Max Planck Society and University of Göttingen The tier-3 Scientifc Compute Cluster is operated for researchers of the Max Planck Society and University of Göttingen, which have permanent access to the … Weiterlesen
Sign up below for the launch of our Hackathon on May 5th and the Expert Workshop on July 27th and 28th in Berlin. https://future-forest.eu/workshop-hackathon/ This workshop is partially funded by the NHR and supported by ForestCARE. Hackathon: Classification of tree damages from RGB aerial imagery using deep neural networks Hauke Kirchner (GWDG) and Selina Schwarz (KIT) will … Weiterlesen