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PlantCV v3.8.0

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@HaleySchuhl HaleySchuhl released this 06 Mar 22:49
a002ab3

DOI

  • Fixed a few missing pages and broken links within the documentation.
  • Add plantcv.hyperspectral.analyze_index
    • This function now accepts min/maximum bin labels, or can auto-calculate bins based on image data range.
    • Collects frequency data for all integrated indices (mean, median, std, frequency).
    • Optionally plots a histogram of frequency values.
  • Add links to source code throughout documentation pages. This allows users to more easily find the raw, source code for those interested in learning more of the mechanics of a function than the documentation page provides.
  • Adds a border_width parameter to plantcv.within_frame.
    • Allows the user to specify how many pixels from the image edge they want to consider for detecting out-of-frame objects.
    • The default is 1 px, which maintains the previous default behavior.
  • Made some updates to the documentation based on usage on Windows.
  • Update dependencies in requirements.txt
  • Add plantcv.roi.roi2mask which allows user to create a binary mask from any contour.
  • Added plantcv.plantcv.visualize.colorspaces which
    • Used to quickly view all potential colorspaces, that are often used for thresholding/object segmentation steps.
    • Plots out an image will all potential colorspaces, labeled with which colorspace each is, next to the original image.
  • Add indices to the plantcv.hyperspectral.extract_index function
    • Add PRI (Photochemical reflectance index)
    • Add ARI (anthocyanin reflectance index)
    • Add ACI (anthocyanin content index)
  • Add and update plantcv.hyperspectral.analyze_spectral function
    • Was storing out information, mainly about the global statistics like the maximum reflectance value for the entire datacube.
    • Average reflectance per band was the only per-band measurement that we had been doing but really most of the stats could be per-band rather than global.
  • Modify various .npz test data files in code tests (avoid using Numpy object arrays and the pickle module)
  • In plantcv.transform.create_color_card_mask() the exclude input option required users to input excluded color chip IDs in descending numerical order.
  • Adds plantcv.threshold.saturation function for masking saturated pixels.
    • Any channel at or above a certain threshold
    • All channels at or above a certain threshold.
    • The user can also pick this threshold (default = 255).