I know that there have been many similar questions around, but none of those seem to work for my problem. That's why I decided to create another post.
To start off, the basic idea of the following code is that it will detect the pixel value of a specific coordinate in order to create a rectangle with the same color.
This is my code:
# open image
img = cv2.imread("image.png")
# set coordinates for rectangle
start_point = (35, 39)
end_point = (50, 60)
# get pixel value of start point; outputs something like "[132 42 52]"
pixel = img[start_point].astype(int)
R = pixel[0]
G = pixel[1]
B = pixel[2]
# outputs type: "<class 'numpy.ndarray'> <class 'numpy.int32'> <class 'numpy.int32'> <class 'numpy.int32'>"
print(type(pixel), type(R), type(G), type(B))
# draws rectangle
color = (R, G, B)
image = cv2.rectangle(img, start_point, end_point, color, -1)
Even though the values "R", "G" and "B" are converted into integers by using "astype(int)" I get the following error:
image = cv2.rectangle(img, start_point, end_point, color, -1)
TypeError: an integer is required (got type tuple)
By using numbers like 30, 53, 100 as the color values everything works out perfectly fine. There just seems to be a problem with the values I receive by setting the pixel value of a coordinate in this image. I don't really know where the problem could be, so I appreciate every help!
Thanks in advance.
