Skip to content

Commit

Permalink
update readme with install instruction
Browse files Browse the repository at this point in the history
update version
  • Loading branch information
BenoitDaviet committed Mar 9, 2023
1 parent b5e4b90 commit 17dd81d
Show file tree
Hide file tree
Showing 2 changed files with 14 additions and 2 deletions.
14 changes: 13 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,6 +1,5 @@
## PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time

This work is based on our biorxiv report (TODO), by Benoit Daviet, Romain Fernandez, Llorenc Cabrera-Bosquet, Christophe Pradal and Christian Fournier.
PhenoTrack3D can be used to track leaf organs over time, in a time-series of 3D maize plant reconstructions.
Such 3D reconstructions can be obtained from sets of RGB images with the Phenomenal pipeline (https://github.com/openalea/phenomenal)

Expand All @@ -15,6 +14,19 @@ Such 3D reconstructions can be obtained from sets of RGB images with the Phenome
Our code is released under **Cecill-C** (https://cecill.info/licences/Licence_CeCILL_V1.1-US.txt) licence.
See LICENSE file for details.

### Install

install dependencies with conda:

conda create -n phenotrack -c conda-forge -c openalea3 openalea.phenomenal skan=0.9
conda activate phenotrack

Clone repo and run setup

git clone https://github.com/openalea/phenotrack3d.git
cd phenotrack3d


### References

If you use PhenoTrack3D to your research, cite:
Expand Down
2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@

setup(
name="openalea.maizetrack",
version="0.0.1",
version="0.1.3",
description="",
long_description="",

Expand Down

0 comments on commit 17dd81d

Please sign in to comment.