Welcome to ectopylasm’s documentation!¶
Indices and tables¶
Tools for visualizing and fitting pointcloud data.
The recommended way to install ectopylasm is by using a virtual environment. Using Miniconda, one can get a working environment on Linux with the following commands:
# on Linux conda create -n ectopylasm python=3.7 conda activate ectopylasm pip install git+https://github.com/sundial-pointcloud-geometry/ectopylasm.git
On macOS, the pptk dependency is only available for Python 3.6, so there one should use:
# on macOS conda create -n ectopylasm python=3.6 conda activate ectopylasm pip install git+https://github.com/sundial-pointcloud-geometry/ectopylasm.git
To install ectopylasm from a cloned git repo, do:
git clone https://github.com/sundial-pointcloud-geometry/ectopylasm.git cd ectopylasm pip install .
Run tests (including coverage) with:
python setup.py test
If you want to contribute to the development of ectopylasm, have a look at the contribution guidelines.
Copyright (c) 2019, Humboldt-Universität zu Berlin
Licensed under the MIT License.
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