FaceRecognizer.py 文件源码

def distanceOfFV(self, fv1, fv2):
        "distance of feature vector 1 and feature vector 2"
        normset = []
        for i in range(len(fv1)):
            k = fv1[i]
            p = fv2[i]
            # k = cv2.normalize(fv1[i],k,1.0,0,norm_type=cv2.NORM_L2)
            # p = cv2.normalize(fv2[i],p,1.0,0,norm_type=cv2.NORM_L2)
            normset.append((p-k)**2.0)
        sums = 0
        sums = sum([i.sum() for i in normset])
        return mth.sqrt(sums)/100000