Newbie. Using the following code to check if a grayscale image (a mask texture in Maya) has all black pixels in the RGB channels (meaning it is empty). This works, but is a bit slow on large images (2048×2048 is around 15 seconds). Looking for how I can speed this up / do this more efficiently. EDIT: This is the
Tag: pixel
How to iterate through neighbours in 2D coordinates?
In a 2D plane, I want to check the neighbouring points until meeting a condition. For example, take a red pixel in this image (x,y). I want to iterate to find the white pixel closest to the selected red pixel. This is an updated image provided by @Pranav Hosangadi My original code is now irrelevant. A possible solution is to
How to replace all pixels of a certain RGB value with another RGB value in OpenCV
I need to be able to replace all pixels that have a certain RGB value with another color in OpenCV. I’ve tried some of the solutions but none of them worked for me. What is the best way to achieve this? Answer TLDR; Make all green pixels white with Numpy: I have made some examples of other ways of changing
How to read the RGB value of a given pixel in Python?
If I open an image with open(“image.jpg”), how can I get the RGB values of a pixel assuming I have the coordinates of the pixel? Then, how can I do the reverse of this? Starting with a blank graphic, ‘write’ a pixel with a certain RGB value? I would prefer if I didn’t have to download any additional libraries. Answer