import os
import cv2
import numpy as np
path = r'C:\Users\csim\Desktop\Selected_front'
def compute(path):
file_names = os.listdir(path)
per_image_Rmean = []
per_image_Gmean = []
per_image_Bmean = []
for file_name in file_names:
img = cv2.imread(os.path.join(path, file_name), 1)
per_image_Bmean.append(np.mean(img[:,:,0]))
per_image_Gmean.append(np.mean(img[:,:,1]))
per_image_Rmean.append(np.mean(img[:,:,2]))
R_mean = np.mean(per_image_Rmean)
G_mean = np.mean(per_image_Gmean)
B_mean = np.mean(per_image_Bmean)
return R_mean, G_mean, B_mean
if __name__ == '__main__':
R, G, B= compute(path)
print(R, G ,B)
創作內容
Python opencv計算批量圖片的BGR各自的平均值
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