Can someone explain how they are splitting the image here?
I'm assuming this is using open-cv, but either way the numpy array is being indexed by [:,0:150:,:], where : means to take all values when by itself, and x:y is all values from x to y. So that'd mean that all of the y values (open-cv works with y first, then x), the x values from 0 to 149, and all 3 color channels.
I don't understand how what each value represents, would someone be able to explain?
img_left[:,0:150,:] = np.clip(img_left[:,:150,:]*1.5,0, 255)