Image with many faces : top_emotion

[justinshenk]

Image with many faces : top_emotion

[seghier]

I find a solution, i think you can do the same in the original code

result = detector.detect_emotions(img)
print (len(result))
for i in range(len(result)):
    top_emotions = [max(e["emotions"], key=lambda key: e["emotions"][key]) for e in result]
    top_emotion = top_emotions[i]
    score = result[i]["emotions"][top_emotion]
    print (top_emotion, score)