Bubblesizer

from ij import IJ, WindowManager
from trainableSegmentation import WekaSegmentation
import Watershed_Irregular_Features
from ij.process import ImageConverter
def bubblesizer():

    # Please define the path to your classifier.
    classifer_path = "D:\\Bubbles.model"

    # Gets the image you want to segment.
    your_image = IJ.getFilePath("Select image for WEKA segmentation")
    target = IJ.openImage(your_image)

    #launches weka segmentation.
    weka = WekaSegmentation()
    weka.setTrainingImage(target)

    # Loads the classifier you have trained manually.
    weka.loadClassifier(classifer_path)
    weka.applyClassifier(False)

    # Shows you the segmented image.
    segmentation = weka.getClassifiedImage()
    segmentation.show()

    # Converts to binary, runs watershed segmentation and analyze particles. Outputs area measurements.
    ImageConverter(segmentation).convertToGray8()

    WindowManager.getCurrentImage()
    IJ.run("Make Binary")
    IJ.run("Invert")
    IJ.run(segmentation, "Watershed Irregular Features", "erosion=1 convexity_treshold=0 separator_size=0-200")
    IJ.run("Analyze Particles...", "size=50-Infinity circularity=0.1-1.00 show=Outlines display summarize")

bubblesizer()