import numpy as np
from tqdm import tqdm
from glob import glob
import cv2
import random
import os

means = [0, 0, 0]
stdevs = [0, 0, 0]

index = 1
num_imgs = 0
imgslist = glob('/users/xxx/xxx/*.jpg')
for imgpath in tqdm(imgslist):
    num_imgs += 1
    img = cv2.imread(imgpath)
    img = np.asarray(img)
    img = img.astype(np.float32)/255.
    for i in range(3):
        means[i] += img[:, :, i].mean()
        stdevs[i] += img[:, :, i].std()

means = np.asarray(means) / num_imgs
stdevs = np.asarray(stdevs) / num_imgs

print('normMean = {}   normStd = {}'.format(means,stdevs))