python自动计算图像数据集的RGB均值

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。

终端运行: python mean.py

结果示例如下：

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