/AirSurf-Lettuce

Primary LanguagePythonOtherNOASSERTION

AirSurf-Lettuce

Aaron Bostrom1, Alan Bauer1, Ji Zhou2,3*

1Earlham Institute, Norwich Research Park, Norwich UK
2Cambridge Crop Research, National Institute of Agricultural Botany, Cambridge UK 3University of East Anglia, Norwich Research Park, Norwich UK

*Correspondence: ji.zhou@NIAB.com; Ji.Zhou@NJAU.edu.cn

Install Python, Anaconda and Libraries

If you wish to run AirSurf-Lettuce from the code, you will need to set up python on your system.

  1. Install Python releases:

    • Read the beginner’s guide to Python if you are new to the language: https://wiki.python.org/moin/BeginnersGuide

    • For Windows users, Python 3 release can be downloaded via: https://www.python.org/downloads/windows/

    • For Mac OS users, Python 3 release can be downloaded via: https://www.python.org/downloads/mac-osx/

    • AirSurf only supports Python 3

  2. Install Anaconda Python distribution:

    • Read the install instruction using the URL: https://docs.continuum.io/anaconda/install

    • For Windows users, a detailed step-by-step installation guide can be found via: https://docs.continuum.io/anaconda/install/windows

    • For Mac OS users, a detailed step-by-step installation guide can be found via: https://docs.continuum.io/anaconda/install/mac-os.html

    • An Anaconda Graphical installer can be found via: https://www.continuum.io/downloads

    • We recommend users install the latest Anaconda Python distribution

  3. Install packages:

    • AirSurf uses a number of 3rd-party libraries that you may need to add to your conda environment. These include, but are not limited to:

     OpenCV
 scikit-image
 scikit-learn
 Keras

    To install these in your environment, check out: https://conda.io/docs/user-guide/tasks/manage-pkgs.html

Running AirSurf-Lettuce

Please see the README.txt file that is included in this repository.

We have a Windows .exe file you can download. You can use it to analyze the sample images found in the repository's testing_images/ folder.

We currently are working on packaging the program for macOS.