| Example of use | Abstract |
|---|---|
 |
DaMapper is a damage segmentation and mapping tool for NDT data. The damage itself is abstracted as a polygon or idealized as an ellipse and can be exported layerwise as XML or IGES. Keywords: ndt segmentation postprocessing |
DaMapper
This package is supported by stmlab and is best installed by running
stmlab install damapper
Please refer to stmlab for further installation and licensing instructions.
Downloading
Use GIT to get the latest code base. From the command line, use
git clone https://gitlab.dlr.de/dlr-sy/damapper damapper
If you check out the repository for the first time, you have to initialize all submodule dependencies first. Execute the following from within the repository.
git submodule update --init --recursive
To fetch all required metadata for each submodule, use
git submodule foreach --recursive 'git checkout $(git config -f $toplevel/.gitmodules submodule.$name.branch || echo master) || git checkout main'
To update all refererenced submodules to the latest production level, use
git submodule foreach --recursive 'git pull origin $(git config -f $toplevel/.gitmodules submodule.$name.branch || echo master) || git pull origin main'
Installation
DaMapper can be installed from source using poetry. If you don't have poetry installed, run
pip install poetry --pre --upgrade
to install the latest version of poetry within your python environment. Use
poetry update
to update all dependencies in the lock file or directly execute
poetry install
to install all dependencies from the lock file. Last, you should be able to import DaMapper as a python package.
import damapper
Contact
1 maintainer
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