RGB Trackbar in OpenCV python

Trackbars are helpful to instantaneously test and experiment with different parameters and values and observe the output in real time which out re-running the program again and again.

Read tutorial on How to add trackbar in your application.

Computer graphics are made of pixels [Read more on Anatomy of a digital image.]

Any color you seen on your screen has 3 component Red, green and blue.

The value of Red, Green and Blue can range from 0 -255 and by mixing different values of red, green and blue a new color is formed.

To Visualize this Mixing of R,G,B values we can create a python script.

The below python script contains 3 trackbars to control the concentration of Red, Green, and Blue color in the image.

RGB Trackbar

R – Red
G – Green
B – Blue

Each trackbas has fixed lower bound of 0 and upper bound of 255.

RGB Trackbar python code

#import opencv and numpy
import cv2  
import numpy as np

#trackbar callback fucntion does nothing but required for trackbar
def nothing(x):
	pass

#create a seperate window named 'controls' for trackbar
cv2.namedWindow('controls',2)
cv2.resizeWindow("controls", 550,10);

#create trackbar in 'controls' window with name 'r''
cv2.createTrackbar('r','controls',0,255,nothing)
cv2.createTrackbar('g','controls',0,255,nothing)
cv2.createTrackbar('b','controls',0,255,nothing)



while(1):
	#create a black image 
	img = np.zeros((512,512,3), np.uint8)
	
	#returns current position/value of trackbar 
	r= int(cv2.getTrackbarPos('r','controls'))
	g=int(cv2.getTrackbarPos('g','controls'))
	b=int(cv2.getTrackbarPos('b','controls'))

	#assign trackbar value to r,g,b channel of the image
	img[:,:,0]=b
	img[:,:,1]=g
	img[:,:,2]=r

	cv2.imshow('img',img)
	
	#waitfor the user to press escape and break the while loop 
	k = cv2.waitKey(1) & 0xFF
	if k == 27:
		break
		
#destroys all window
cv2.destroyAllWindows()

By sliding the trackbar you can change the value of Red, Green, and Blue components and observe how the color in the explore window changes.