OpenCV - I need to insert color image into black and white image and-CodePudding

I insert black and white image into color image with this code and it is ok:

face_grey = cv.cvtColor(face, cv.COLOR_RGB2GRAY)
for row in range(0, face_grey.shape[0]):
  for column in range(face_grey.shape[1]):
    img_color[row   275][column   340] = face_grey[row][column]
plt.imshow(img_color)

but, when i try to insert color image into black and white image with this code, i get error:

img_gray = cv.cvtColor(img, cv.COLOR_RGB2GRAY)
for row in range(0, face.shape[0]):
  for column in range(face.shape[1]):
    img_gray[row   275][column   340] = face[row][column]
plt.imshow(img_gray)

TypeError: only size-1 arrays can be converted to Python scalars
ValueError: setting an array element with a sequence.

CodePudding user response：

A colour image needs 3 channels to represent red, green and blue components.

A greyscale image has only a single channel - grey.

You cannot put a 3-channel image in a 1-channel image any more than you can put a 3-pin plug in a single hole socket.

You need to promote your grey image to 3 identical channels first:

background = cv2.cvtColor(background, cv2.COLOR_GRAY2BGR)

Example:

# Make grey background, i.e. 1 channel
background = np.full((200,300), 127, dtype=np.uint8)

# Make small colour overlay, i.e. 3 channels
color = np.random.randint(0, 256, (100,100,3), dtype=np.uint8)

# Upgrade background from grey to BGR, i.e. 1 channel to 3 channels
background = cv2.cvtColor(background, cv2.COLOR_GRAY2BGR)

# Check its new shape
print(background.shape)       # prints (200, 300, 3)

# Paste in small coloured image
background[10:110, 180:280] = color

CodePudding user response：

A color image has the shape (n,m,3) for the three color channels rgb. A gray scale image has the shame (n,m,1) as the color information is thrown away. The error happens in this line:

img_gray[row   275][column   340] = face[row][column]

img_gray[row 275][column 340] expects only one value because img_gray has the a shape (height, width, 1). face[row][column] has a shape (3,)

You would see that if you do the following:

print(f"{ img_gray[row 275][column   340].shape} and {face[row][column].shape}")