python自动计算图像数据集的RGB均值_Python

本文实例为大家分享了python自动计算图像数据集的RGB均值，供大家参考，具体内容如下

图像数据集往往要进行去均值，以保证更快的收敛。

代码：

创建一个mean.py，写入如下代码。修改路径即可使用

				?

									'''

									qhy

									2018.12.3

									'''

									import os

									import numpy as np

									import cv2

									ims_path='C:/Users/my/Desktop/JPEGImages/'# 图像数据集的路径

									ims_list=os.listdir(ims_path)

									R_means=[]

									G_means=[]

									B_means=[]

									for im_list in ims_list:

									 im=cv2.imread(ims_path+im_list)

									#extrect value of diffient channel

									 im_R=im[:,:,0]

									 im_G=im[:,:,1]

									 im_B=im[:,:,2]

									#count mean for every channel

									 im_R_mean=np.mean(im_R)

									 im_G_mean=np.mean(im_G)

									 im_B_mean=np.mean(im_B)

									#save single mean value to a set of means

									 R_means.append(im_R_mean)

									 G_means.append(im_G_mean)

									 B_means.append(im_B_mean)

									 print('图片：{} 的 RGB平均值为 \n[{}，{}，{}]'.format(im_list,im_R_mean,im_G_mean,im_B_mean) )

									#three sets  into a large set

									a=[R_means,G_means,B_means]

									mean=[0,0,0]

									#count the sum of different channel means

									mean[0]=np.mean(a[0])

									mean[1]=np.mean(a[1])

									mean[2]=np.mean(a[2])

									print('数据集的BGR平均值为\n[{}，{}，{}]'.format( mean[0],mean[1],mean[2]) )

									#cv.imread()读取Img时候将rgb转换为了bgr，谢谢taylover-pei的修正。