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https://github.com/gsi-upm/senpy
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update _forward_conversion docstring + minor edits
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@ -35,17 +35,20 @@ class CentroidConversion(EmotionConversionPlugin):
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super(CentroidConversion, self).__init__(info)
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super(CentroidConversion, self).__init__(info)
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def _forward_conversion(self, original):
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def _forward_conversion(self, original):
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"""Sum the VAD value of all categories found weighted by intensity. """
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"""Sum the VAD value of all categories found weighted by intensity.
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Intensities are scaled by onyx:maxIntensityValue if it is present, else maxIntensityValue is assumed to be one.
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Emotion entries that do not have onxy:hasEmotionIntensity specified are assumed to have maxIntensityValue.
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Emotion entries that do not have onyx:hasEmotionCategory specified are ignored."""
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res = Emotion()
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res = Emotion()
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maxIntensity = float(original.get("onyx__maxIntensityValue",1))
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maxIntensity = float(original.get("onyx__maxIntensityValue",1))
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sumIntensities = 0
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neutralPoint = self.get("origin",None)
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neutralPoint = self.get("origin",None)
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for e in original.onyx__hasEmotion:
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for e in original.onyx__hasEmotion:
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category = e.onyx__hasEmotionCategory
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category = e.get("onyx__hasEmotionCategory", None)
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if category is None:
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continue
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intensity = e.get("onyx__hasEmotionIntensity",maxIntensity)/maxIntensity
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intensity = e.get("onyx__hasEmotionIntensity",maxIntensity)/maxIntensity
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if intensity == 0:
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if intensity == 0:
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continue
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continue
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sumIntensities += intensity
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centoid = self.centroids.get(category,None)
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centoid = self.centroids.get(category,None)
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if centroid:
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if centroid:
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for dim, value in centroid.items():
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for dim, value in centroid.items():
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