我正在学习参考这篇文章。如何使用python opencv删除图像中的隐藏标记？
不像帖子的内容。。。相反，我想知道如何在hsv空间中写下隐藏的k222。使用下面的源代码，我将zkldo.png图像更改为cv2.cvtcolor（copy，cv2.color\u bgr2hsv），然后将其分为多个通道，并像上面捕获的图像一样插入隐藏的水印“k222”，但结果与之不同（图像中键入的文本不清晰可见，但是当你仔细看的时候，你可以看到它们……）有人能就这件事提出建议吗？：）
在hsv频道中添加文本检查结果

import numpy as np
img = cv2.imread("D:\\DOWN\\zkLdo.png")

b, g, r = cv2.split(img) # split into B,G,R spaces

# b = cv2.GaussianBlur(b, None, 8)

copy = img.copy()

hsv_image = cv2.cvtColor(copy, cv2.COLOR_BGR2HSV)
out = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
bb, gg, rr = cv2.split(out) # split into B,G,R spaces

position = (10,100)
COLRED = (90,94,105) # RGB RED
COLCBLUE = (255, 0, 0) # RGC Blue
COLXXX = (35, 135, 141)
COLCRAY = (139, 160, 160)
COLTEST = (125, 50, 50)

HSV = cv2.putText(
bb, #numpy array on which text is written
"1234567890", #text
position, #position at which writing has to start
cv2.FONT_HERSHEY_SIMPLEX, #font family
2, #font size
COLTEST, #font color
2) #font stroke

cv2.imwrite('D:\\DOWN\\outputttt.png', cv2.merge((r,g,bb)))
plt.imshow(cv2.merge((r,g,bb)), cmap='gray')