import cv2
import numpy as np
def Beauty(img):
    step    = 5
    kernel  = (32,32) #图片大一点，此处尺寸大一点

    img     = img/255.0
    sz      = img.shape[:2]
    sz1     = (int(round(sz[1] * step)), int(round(sz[0] * step)))
    sz2     = (int(round(kernel[0] * step)), int(round(kernel[0] * step)))
    sI      = cv2.resize(img, sz1, interpolation=cv2.INTER_LINEAR)
    sp      = cv2.resize(img, sz1, interpolation=cv2.INTER_LINEAR)
    msI     = cv2.blur(sI, sz2)
    msp     = cv2.blur(sp, sz2)
    msII    = cv2.blur(sI*sI, sz2)
    msIp    = cv2.blur(sI*sp, sz2)
    vsI     = msII - msI*msI
    csIp    = msIp - msI*msp
    recA    = csIp/(vsI+0.01)
    recB    = msp - recA*msI
    mA      = cv2.resize(recA, (sz[1],sz[0]), interpolation=cv2.INTER_LINEAR)
    mB      = cv2.resize(recB, (sz[1],sz[0]), interpolation=cv2.INTER_LINEAR)
    gf      = mA*img + mB
    gf      = gf*255
    gf[gf>255] = 255
    final   = gf.astype(np.uint8)
    return final