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：

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'''qhy2018.12.3'''import osimport numpy as npimport cv2ims_path='C:/Users/my/Desktop/JPEGImages/'# 图像数据集的路径ims_list=os.listdir(ims_... 原文地址：http://blog.csdn.net/xiaowei_cqu/article/details/7558657/ 【1】 计算 图像 ROI区域 RGB 的平 均值 ，cvAvg函数。 【2... user32 = windll.user32 hdc = user32.GetDC(None) # 获取颜色值 pixel = gdi32.GetPixel(hdc, x, y) # 提取 RGB 值 r = pixel.