Trackbar_VideoCapture.py

import cv2 as cv
import numpy as np

camera = cv.VideoCapture(0)

def testing(x):
    pass

cv.namedWindow("Testing")
cv.createTrackbar("Hue Low", "Testing", 0, 255, testing)
cv.createTrackbar("Hue High", "Testing", 255, 255, testing)
cv.createTrackbar("Sat Low", "Testing", 0, 255, testing)
cv.createTrackbar("Sat High", "Testing", 255, 255, testing)
cv.createTrackbar("Val Low", "Testing", 0, 255, testing)
cv.createTrackbar("Val High", "Testing", 255, 255, testing)

while True:
    ret, frame = camera.read()
    copy_frame = frame.copy()
    
    frame = cv.GaussianBlur(frame, (7, 7), 0)
    frame = cv.erode(frame, None)
    frame = cv.dilate(frame, None)
    

    hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
    
    hue_low = cv.getTrackbarPos("Hue Low", "Testing")
    saturation_low = cv.getTrackbarPos("Sat Low", "Testing")
    value_low = cv.getTrackbarPos("Val Low", "Testing")
    
    hue_high = cv.getTrackbarPos("Hue High", "Testing")
    saturation_high = cv.getTrackbarPos("Sat High", "Testing")
    value_high = cv.getTrackbarPos("Val High", "Testing")
    
    lower = np.array([hue_low, saturation_low, value_low])
    upper = np.array([hue_high, saturation_high, value_high])

    mask = cv.inRange(hsv, lower, upper)
    mask_in_action = cv.bitwise_and(frame, frame, mask = mask)
    #display image

    cv.imshow("resized image", frame)
    cv.imshow("masking", mask_in_action)
    
    key = cv.waitKey(1)
    if key == 27:
        break


camera.release()    
cv.destroyAllWindows()