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unzip compressed files that contain plant images, and covert the images into numpy arrays

Project description

GreenhouseEI Documentation

SD2019-Plant Phenotyping


  • numpy
  • opencv


info(plant_ID, date, path)

  • input: plant_ID, date, path
  • output: print types of images that are available
  • example:"JS39-65", "2018-04-11", "/Users/john/PycharmProjects/Library_SD/output")

unzip(plant_ID, date, image_type, path):

  • input: plant_ID, date, image_type, path
  • output: the folder of images that match plant ID, date, and image type.
  • example: tools.unzip("JS39-65", "2018-04-11", "Nir", "/Users/john/PycharmProjects/Library_SD/output")

preprocess(plant_ID, date, path):

  • input: plant_ID, date, path
  • output: numpy arrays of Hyperspectral images
  • example: tools.preprocess("JS39-65", "2018-04-11", "/Users/john/PycharmProjects/Library_SD/output")

zip2np(plant_ID, date, path)

  • input: plant_ID, date, path
  • output: numpy arrays of Hyperspectral images from zip files.
  • example: tools.zip2np("JS39-65", "2018-04-11", "/Users/john/PycharmProjects/Library_SD/output")

Running the library


  • the plant_ID should be in a format like "JS39-65", the date should be in a format like "2018-04-11"
  • the possible image types are Hyp, Nir, Vis, Fluo, IR
  • Hyperspectral images should be reconstructed first, before running the "preprocess" to produce the numpy array

import the module as a Python package

  • from greenhouseEI import tools
  •[plant_ID], [date], [path])
  • tools.unzip([plant name], [date], [image type], [path])
  • tools.preprocess([plant name], [date], [path])
  • tools.zip2np([plant name], [date], [path])

running the module in terminal

  • python3 -m info -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD/output
  • python3 -m unzip -n JS39-65 -d 2018-04-11 -t Hyp -p /Users/john/PycharmProjects/Library_SD/output
  • python3 -m preprocess -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD
  • python3 -m zip2np -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD/output

Project details

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