Computer vision: Run your code on your phone camera + Face bluring 




import numpy as np 

import cv2 

import os 

os.chdir(r"E:\faceeyedetection")

cap =cv2.VideoCapture(0)

address = 'put your address here'

cap.open(address)

face_cascade =cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

#eyes_cascade =cv2.CascadeClassifier("haarcascade_eye.xml")


while(cap.isOpened()):

    ret ,frame =cap.read()            

    

    gray =cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)                

    

    faces =face_cascade.detectMultiScale(gray ,1.3 , 4)                

    for (x,y,h,w) in faces :               

        img = cv2.rectangle(frame ,(x,y),(x+w ,y+h),(0,255,0),3)                     

        img[y:y+h,x:x+w] = cv2.medianBlur(img[y:y+h,x:x+w],75)                     

        

        #roi_gray=gray[y:y+h ,x:x+w]                      

        #roi_color=frame[y:y+h ,x:x+w]                     

        #eyes =eyes_cascade.detectMultiScale(roi_gray)                     

        #for(ex,ey,eh,ew) in eyes :                    

            #cv2.rectangle(roi_color ,(ex,ey),(ex+ew ,ey+eh),(0,0,255),3)                           

  

    

    cv2.imshow("frame" ,frame)

    

    key =cv2.waitKey(1)

    if(key == 27):

        break 

        

cap.release()

cv2.destroyAllWindows()

===========================

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===========================

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