Tips for modifying pixel values in Python's OpenCV library without the need for traditional for loops

Currently delving into OpenCV in Python and I've encountered an issue.

I have a depth image captured from a Kinect camera. This image has a border with pixel values of zero that I need to replace with the maximum value in the image (2880) without resorting to for loops.

The code snippet I've tried so far is:

import cv2
depthImage = cv2.imread('depthImageName', cv2.IMREAD_UNCHANGED)
if depthImage.any() == 0:
    depthImage = 2880

However, this approach isn't successful as the zero values persist.

If anyone has insights or suggestions on how to tackle this problem, please chime in!

If pertinent information was omitted, feel free to highlight it.

Appreciate any assistance you can provide - thank you in advance! :)

pythonopencv

Answer â„–1

After loading the image file with the imread function, it is saved as a numpy array. This allows you to utilize numpy arrays indexing, such as:

depthImage[depthImage==0] = 2880

Answer â„–2

Utilizing a built-in function called copyMakeBorder, you can easily create borders for images. For a more detailed explanation, check out this Python tutorial on image border creation:

img1 = cv2.imread('opencv_logo.png')
constant= cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_CONSTANT,value=BLUE)

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