Why do the get_facial_attributes function and the get_facial_expression function produce different facial expression prediction categories?

[doudousukyi37]

when i use the get_facial_attributes function and the get_facial_expression function to predict same picture ,they return different facial expression. my code is:

import libreface
import cv2

image1_path = '/app/libreface/test_images/ruiangry.jpg'
image1 = cv2.imread(image1_path)

detected_attributes = libreface.get_facial_attributes(image1_path)



expression_label = libreface.get_facial_expression(image1_path)

print(detected_attributes['detected_aus'])

print(detected_attributes['facial_expression'])

print(expression_label)

and return

{'au_1': 0, 'au_2': 0, 'au_4': 0, 'au_6': 0, 'au_7': 0, 'au_10': 1, 'au_12': 0, 'au_14': 0, 'au_15': 0, 'au_17': 0, 'au_23': 0, 'au_24': 0}
Disgust
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