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DaMapper as a standalone application with UI

Project description

Example of use Abstract
image 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

doc PyPi

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

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