Implementing image thresholding (Otsu's method) with PythonCaller Hello! I'm trying to implement Otsu's method of image thresholding on an incoming raster, using the PythonCaller transformer. I have the following code block in the PythonCaller parameters, although my Python isn't great, so there may well be issues with it:import fmeimport fmeobjectsimport numpy as npclass OtsuThreshold(object): def __init__(self): pass def input(self, feature): #implement Otsu thresholding in native Python with numpy #get the image from the feature image = feature.getAttribute('image') #compute the histogram of the image, then find the peak of the histogram hist = np.histogram(image, bins=256, range=(0, 256)) maxVal = np.max(hist[0]) maxLoc = np.argmax(hist[0]) #perform Otsu thresholding T = maxLoc thresh = np.where(image > T, 255, 0) #set the attribute value feature.setAttribute('image', thresh) #pass the feature on to the next transformer se
