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An image processing package for plant phenotyping.

Project description

Build Status Coverage Status Documentation Status Binder Docker Pulls GitHub release PyPI version Conda license

PlantCV: Plant phenotyping using computer vision

Please use, cite, and contribute to PlantCV! If you have questions, please submit them via the GitHub issues page. Follow us on twitter @plantcv.


Introduction to PlantCV

PlantCV [1] is an imaging processing and trait extraction package designed for plant biology research that is built upon open-source software platforms OpenCV [2], NumPy [3], and MatPlotLib [4].

If you use PlantCV please cite us [1].

Citations:

  1. Fahlgren N, Feldman M, Gehan MA, Wilson MS, Shyu C, Bryant DW, Hill ST, McEntee CJ, Warnasooriya SN, Kumar I, Ficor T, Turnipseed S, Gilbert KB, Brutnell TP, Carrington JC, Mockler TC, Baxter I. (2015) A versatile phenotyping system and analytics platform reveals diverse temporal responses to water availability in Setaria. Molecular Plant 8: 1520-1535. http://doi.org/10.1016/j.molp.2015.06.005

  2. Bradski G (2000) The OpenCV library. Dr. Dobb's Journal 25(11): 120-126. http://www.drdobbs.com/open-source/the-opencv-library/184404319

  3. Oliphant TE (2007) Python for Scientific Computing. Computing in Science & Engineering 9: 10-20. http://doi.org/10.1109/MCSE.2007.58

  4. Hunter JD (2007) Matplotlib: A 2D graphics environment. Computing in Science & Engineering 9: 90-95. http://doi.org/10.1109/MCSE.2007.55


Issues with PlantCV?

Please file any PlantCV suggestions/issues/bugs via our GitHub issues page. Please check to see if any related issues have already been filed.


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