Python计算数据集均值和标准差

import pandas as pd
import numpy as np
from md import read_image
from tqdm import tqdm
import cv2

mean = 0.49999999997525235
std = 0.2092156204202305

filepath = r'/data/dataset/xx.xx/naru_data_mean/naru_data/0'
pathDir = os.listdir(filepath)

img_mean_list = []
img_std_list = []
for idx in range(len(pathDir)):
    filename = pathDir[idx]
    img = read_image(os.path.join(filepath, filename)).to_numpy()
    img = (img - img.min()) / (img.max() - img.min()) * 255 # 我的图像灰度值为1-1000，此操作为归一化
    img_mean = np.mean(img)
    img_std = np.std(img)
    img_mean_list.append(img_mean)
    img_std_list.append(img_std)
data_mean = np.mean(img_mean_list)
data_std = np.mean(img_std_list)
print(data_mean, data_std)

 

来源：CSDN

作者：Along1617188

链接：https://blog.csdn.net/Along1617188/article/details/103636230