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analysis
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@ -79,10 +79,7 @@ Deepface also offers facial attribute analysis including [`age`](https://sefiks.
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from deepface import DeepFace
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demography = DeepFace.analyze("img4.jpg", actions = ['age', 'gender', 'race', 'emotion'])
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#demographies = DeepFace.analyze(["img1.jpg", "img2.jpg", "img3.jpg"]) #analyzing multiple faces same time
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print("Age: ", demography["age"])
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print("Gender: ", demography["gender"])
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print("Emotion: ", demography["dominant_emotion"])
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print("Race: ", demography["dominant_race"])
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print("This is ", demography["age"]," years old ",demography["dominant_race"]," ",demography["gender"]," in ",demography["dominant_emotion"]," mood")
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```
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<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-2.jpg" width="95%" height="95%"></p>
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