Why Can't I Use Images With CoreMLTools In Python 3? - python-3.8

Question

I have a program where I need to use coremltools to predict something with and images, but when I feed the image through it dosen't work.
My code is:
import coremltools
from PIL import Image
img=Image.open('/path/to/jpg/file.jpg')
model=coremltools.models.MLModel('/path/to/mlmodel/file.mlmodel')
model.predict({'d':img})
But then it returns:
File "<stdin>", line 1, in <module>
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/coremltools/models/model.py", line 329, in predict
return self.__proxy__.predict(data, useCPUOnly)
RuntimeError: {
NSLocalizedDescription = "Predicted feature named 'classLabel' was not output by pipeline";
}

Answer 1

I just faced this and for me I was not accessing not passing the correct keyword. My call was
model.predict( {"img": img } )
But when I printed the model, I saw this section of
input {
name: "image"
shortDescription: "Input image to be classified"
....
}
When I changed to:
model.predict( {"image": img} )
everything worked. Not sure what else could trigger the error as it seemed generic and unhelpful so maybe it could be an error in your other parameters as well.