normalizer/test-accuracy.py at master · tinchoa/normalizer · GitHub

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normalized=[]
for i in proposal:
	normalized.append(i.normalizedHistograma())

valuesProposta={}
for i in range(len(normalized)):
    valuesProposta[i]=[]
    tmp=[]
    for k in range(len(normalized[i])):
        tmp.append(normalized[i][k][2])
    valuesProposta[i].append(np.mean(np.array(tmp)))
    valuesProposta[i].append(np.std(np.array(tmp)))


valuesOriginal={}
for i in range(len(histogramOriginal)):
    valuesOriginal[i]=[]
    tmp=[]
    for k in range(len(histogramOriginal[i])):
        tmp.append(histogramOriginal[i][k][2])
    valuesOriginal[i].append(np.mean(np.array(tmp)))
    valuesOriginal[i].append(np.std(np.array(tmp)))