I am trying to turn all of the white pixels in this image red, but when I run the program the shape is fine but the red pixels are rotated 90 degrees:
This is the current code that I am using to do this:
import cv2 as cvimport numpy as npimport osfrom matplotlib import pyplot as pltimport cv2 as cvdef get_white_pixels(image_as_array): threshold = 40 indices = np.where(image_as_array >= threshold) width=image.shape[1] height=image.shape[0] cartesian_y=height-indices[0]-1 np_data_points=np.column_stack((indices[1],cartesian_y)) return cartesian_y, np_data_points, width,heightimage = cv.imread("framenumber0.jpg")ind, pixels, width, height = get_white_pixels(image)#Goes through every pixel and changes its valuesfor i in range(0, len(pixels)): loc_x = int(pixels[i][0]) loc_y = int(pixels[i][1]) image[loc_x,loc_y] = (0,0,255)cv.imshow('Modified Image', image)cv.waitKey(0)cv.destroyAllWindows()I do need the location of the white points as I will use them later for the second part of the project. I suspect the problem has something to do with the np.column_stack(). I have been reading the info page of the function but I still do not understand why this happens.
If you want to replicate here is also the image that I am using:
