python判断灰度图
https://blog.csdn.net/binbin_sun/article/details/80765425
方法1比较准
import time
import cv2
import numpy as np
import os
def checkGray(chip):
# chip_gray = cv2.cvtColor(chip,cv2.COLOR_BGR2GRAY)
r,g,b = cv2.split(chip)
r = r.astype(np.float32)
g = g.astype(np.float32)
b = b.astype(np.float32)
s_w, s_h = r.shape[:2]
x = (r+b+g)/3
area_s=s_w * s_h
# x = chip_gray
r_gray = abs(r-x)
g_gray = abs(g-x)
b_gray= abs(b-x)
r_sum = np.sum(r_gray)/area_s
g_sum = np.sum(g_gray)/area_s
b_sum = np.sum(b_gray)/area_s
gray_degree = (r_sum+g_sum+b_sum)/3
if gray_degree 10:
pass
return False,s_sum
# print('color',s_sum)
else:
print('gray',s_sum)
return True,s_sum
if __name__ == '__main__':
path=r'faces_emore_images\001344/'
start=time.time()
files =os.listdir(path)
for file in files:
if file.endswith(".jpg"):
img=cv2.imread(path+file)
ret,value= checkGray(img)
if ret:
print(f'{value:.3f},'+path + file)
print('time',time.time()-start)
作者：ShellCollector
