RuntimeWarning：并行图像过滤中的 ubyte_scalars 中遇到溢出

Question

当尝试运行并行过滤图像的 function 时，它给了我这个错误：

RuntimeWarning: overflow encountered in ubyte_scalars
 Sum = prow[c - 1][j] +  prow[c + 0][j] + prow[c + 1][j] + srow[c - 1][j] + srow[c + 0][j] + srow[c + 1][j] +                             nrow[c-1][j] +nrow[c + 0][j] + nrow[c + 1][j];

呼叫者，召集者：

def filter_image(my_image):
    image=np.array(Image.open('cat.jpg'))
    shape=my_image.shape
    print(shape)
    rows=shape[0]
    v=range(rows)
    with mp.Pool(NUMCORES,initializer=my.init_globalimage,initargs=[image,filter_mask]) as p:
        result=p.map(my.parallel_filtering_image,v)
    return result

过滤 function：

def parallel_filtering_image(r):
    # r: is the image row to filter
    # image is the global memory array
    # my_filter is the filter shape to apply to the image

    
    global image
    global my_filter

    #from the global variaable, gets the image shape
    (rows,cols,depth) = image.shape

    #fetch the r row from the original image
    srow=image[r,:,:]
    if ( r>0 ):
        prow=image[r-1,:,:]
    else:
        prow=image[r,:,:]
    
    if ( r == (rows-1)):
        nrow=image[r,:,:]
    else:
        nrow=image[r+1,:,:]
        
        
    #defines the result vector, and set the initial value to 0
    frow=np.zeros((cols,depth))

    #range from 1 cause cannot manage column 0 borders
    x = range(1, cols-1)
    for c in x:
        
        #range for the 3 layers(in this case the layer were equal so i could to this without looping)
        for j in range(3):
            Sum = prow[c - 1][j] +  prow[c + 0][j] + prow[c + 1][j] + srow[c - 1][j] + srow[c + 0][j] + srow[c + 1][j] +                             nrow[c-1][j] +nrow[c + 0][j] + nrow[c + 1][j];
            mean=Sum/9
            
            #adding to the filtered row the mean
            frow[c][j]=int(mean)
            
            
            
        

    #return the filtered row
    return frow

我曾尝试在 np.array 中使用 dtype 作为 int64 但它没有正确过滤图像。

它还说

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

我该如何解决？