README.rst

March 7, 2018 ยท View on GitHub

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======== EarTrack

An imaging library to detect and track future position of ear on maize plants.

EarTrack is released under a Cecill-C <http://www.cecill.info/licences/Licence_CeCILL-C_V1-en.html>_ license.

.. contents::

============= Documentation

The documentation is available at <https://eartrack.readthedocs.io>_

Tutorials are available as Jupyter notebook :

  • Getting started with eartrack <http://nbviewer.jupyter.org/github/openalea/eartrack/blob/master/example/getting_started_with_eartrack.ipynb>_

  • Eartrack step by step <http://nbviewer.jupyter.org/github/openalea/eartrack/blob/master/example/eartrack_step_by_step.ipynb>_

=========================== Installation with Miniconda

Miniconda installation

Follow official website instruction to install miniconda : http://conda.pydata.org/miniconda.html

To create conda environment <https://conda.io/docs/user-guide/tasks/manage-environments.html>_ and activate it :

.. code:: shell

conda create -n eartrack python=2.7
source activate eartrack # just "activate eartrack" on windows

User installation

Available for linux, Windows and Mac OSX on 64 bits.

.. code:: shell

conda install -c conda-forge -c openalea openalea.eartrack

Source code installation

Please follow documentation installation page <https://eartrack.readthedocs .io/en/latest/source/install/index.html>_.

Help and Support

Please open an Issue if you need support or that you run into any error (Installation, Runtime, etc.). We'll try to resolve it as soon as possible.

Citation

Brichet N, Fournier C, Turc O, Strauss O, Artzet S, Pradal C, Welcker C, Tardieu F, Cabrera-Bosquet L. 2017. A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform. Plant Methods 13:96 doi:10.1186/s13007-017-0246-7 <https://doi.org/10.1186/s13007-017-0246-7>_

Authors

.. include:: AUTHORS.rst