Canny Edge Detector Real-time.py

import cv2  

import numpy as np 

  
cap = cv2.VideoCapture(0) 
  
  
# loop runs if capturing has been initialized 
while 1: 
   
    ret, frame = cap.read() 
  
    # converting BGR to HSV 
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) 
      
    # define range of red color in HSV 
    lower_red = np.array([5,50,50]) 
    upper_red = np.array([15,255,255]) 
      
    # create a red HSV colour boundary and  
    # threshold HSV image 
    mask = cv2.inRange(hsv, lower_red, upper_red) 
  
    # Bitwise-AND mask and original image 
    res = cv2.bitwise_and(frame,frame, mask= mask) 
  
    # Display an original image 
    cv2.imshow('Original',frame) 
  
    # finds edges in the input image image and 
    # marks them in the output map edges 
    edges = cv2.Canny(frame,100,200) 
  
    # Display edges in a frame 
    cv2.imshow('Edges',edges) 
  
    # Wait for Esc key to stop 
    k = cv2.waitKey(5) & 0xFF
    if k == 27: 
        break
  
  
# Close the window 
cap.release() 
  
# De-allocate any associated memory usage 
cv2.destroyAllWindows()