我怎样才能摆脱体能得分0？

Question

我的遗传算法有一个HSV图像作为输入，当我编译代码时，我有以下警告

RuntimeWarning: overflow encountered in ubyte_scalars

警告是因为我想计算两个像素之间的距离

def HSV_binaryList(imageSubMatrix, threshold):
    weight, height, channels = imageSubMatrix.shape
    binaryRule = []
    centerPixel = imageSubMatrix[1][1]
    h0 , s0, v0 = centerPixel[0], centerPixel[1], centerPixel[2]
    for i in range(weight):
        for j in range(height):
            h1, s1, v1 = imageSubMatrix[i][j][0], imageSubMatrix[i][j][1],imageSubMatrix[i][j][2]
            dh = abs(h1 - h0) / 180.0
            ds = abs(h1 - h0) / 255.0
            dv = abs(h1 - h0) / 255.0
            distance = math.sqrt(dh ** 2 + ds ** 2 + dv ** 2) / math.sqrt(3)
            if distance > threshold:
                binaryRule.append(1)
            else:
                binaryRule.append(0)
    return binaryRule

imageSubMatrix是HSV图像的3*3区域，阈值是介于0和1之间的值

我试图纠正警告，我阅读了图像并更改了数据类型。更改后，适应度得分为0。在更改像素类型（dtype='float64'）之前，我的健康评分很好

startImage = cv2.imread("image1.jpg")
dst = cv2.fastNlMeansDenoisingColored(startImage,None,10,10,7,21)
resized = cv2.resize(dst,(256, 256))
initImageHSV = numpy.array(cv2.cvtColor(resized, cv2.COLOR_BGR2HSV), dtype='float64')

我能在不影响体能得分的情况下消除警告吗