PyPI 官网下载 | GreenHouseEI-1.3.tar.gz

# GreenhouseEI Documentation # SD2019-Plant Phenotyping ## Dependencies * numpy * opencv ## Functionality 1. info(plant_ID, date, path) * input: plant_ID, date, path * output: print types of images that are available * example: ```tools.info("JS39-65", "2018-04-11", "/Users/john/PycharmProjects/Library_SD/output")``` 2. 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")``` 3. 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")``` 4. 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 1. Warnings * There are two types of dataset. 1. The folder name of the old dataset contains "Schnable", such as "4-9-18_Schnable_49-281-JS39-65_2018-04-11_12-09-35_9968800.zip". The plant_ID of the old dataset should be in a format like "JS39-65", and the date should be in a format like "2018-04-11". 2. The folder name of the new dataset is like "71-001-Sesame-D-1.zip". The plant_ID of the new dataset should be in a format like "71-001-Sesame-D-1", and the date should be in a format like "2019-07-03". * 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 2. import the module as a Python package * `from greenhouseEI import tools` * `tools.info([plant_ID], [date], [path])` * `tools.unzip([plant name], [date], [image type], [path])` * `tools.preprocess([plant name], [date], [path])` * `tools.zip2np([plant name], [date], [path])` 3. running the module in terminal * `python3 -m greenhouseEI.tools info -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD/output` * `python3 -m greenhouseEI.tools unzip -n JS39-65 -d 2018-04-11 -t Hyp -p /Users/john/PycharmProjects/Library_SD/output` * `python3 -m greenhouseEI.tools preprocess -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD` * `python3 -m greenhouseEI.tools zip2np -n JS39-65 -d 2018-04-11 -p /Users/john/PycharmProjects/Library_SD/output` ## Demonstration