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problem in displaying video stream window in face detection python

hey i just want some help this is my code but i do not know how to display the video using imshow or anyother method. it was working fine but as soon as i put all the code into processes it is running in chunks and secondly i am not able to display video. can someone please help me ? i do not know what i am doing wrong.

import cv2 import os, numpy import sys import time import multiprocessing as mp from multiprocessing import Process, Queue

CASCADE_FILE = 'haarcascade_frontalface_default.xml'

fn_dir = 'att_faces' fn_name = sys.argv[1] path = os.path.join(fn_dir, fn_name) if not os.path.isdir(path): os.mkdir(path) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

capture = cv2.VideoCapture(0)

def setup_camera(q):

capture = cv2.VideoCapture(0)
    ret, frame = capture.read()
frame = cv2.flip(frame, 1)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
q.put( frame)
return frame

def faceDetect(frame):

print "frame" , frame
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 2)
print "FACE LENGTH"
print len(faces)

if( len(faces)>0):

    for (x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
        cv2.putText(frame, 'unknown', (x - 10, y - 10), cv2.FONT_HERSHEY_PLAIN,
               1,(0, 255, 0))

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

        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex,ey,ew,eh) in eyes:
                cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)

    pin=sorted([int(n[:n.find('.')]) for n in os.listdir(path)
           if n[0]!='.' ]+[0])[-1] + 1
    cv2.imwrite('%s/%s.png' % (path, pin), roi_gray)



else:
    print"not found"

if __name__ == '__main__':

while True:




    #capture = cv2.VideoCapture(0)
    print "7 queue"
    q = mp.Queue()


    p1 = Process(target=setup_camera, args=(q,))
        p1.start()
    print "process 1 started"

    fr=q.get()
    print "got frame from queue"
    p1.join()

    print "process 2"
        p2 = Process(target=faceDetect, args=(fr,))
        p2.start()
    print "process 2 started"
    cv2.imshow('img',fr)

cv2.imshow('img',fr)

cv2.waitKey(0)

capture.release()

cv2.destroyAllWindows()

When everything is done, release the capture

capture.release() Scv2.destroyAllWindows()

problem in displaying video stream window in face detection python

import cv2 import os, numpy import sys import time import multiprocessing as mp from multiprocessing import Process, Queue CASCADE_FILE = 'haarcascade_frontalface_default.xml' Queue #CASCADE_FILE = 'haarcascade_frontalface_default.xml' fn_dir = 'att_faces' fn_name = sys.argv[1] path = os.path.join(fn_dir, fn_name) if not os.path.isdir(path): os.mkdir(path) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') cv2.CascadeClassifier('haarcascade_eye.xml') #capture = cv2.VideoCapture(0) def setup_camera(q): capture = cv2.VideoCapture(0) def setup_camera(q): capture = cv2.VideoCapture(0) ret, frame = capture.read() frame = cv2.flip(frame, 1) frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) q.put( frame) return frame def faceDetect(frame): faceDetect(frame): print "frame" , frame gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 2) print "FACE LENGTH" print len(faces) if( len(faces)>0): for (x,y,w,h) in faces: cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2) cv2.putText(frame, 'unknown', (x - 10, y - 10), cv2.FONT_HERSHEY_PLAIN, 1,(0, 255, 0)) roi_gray = gray[y:y+h, x:x+w] roi_color = frame[y:y+h, x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) pin=sorted([int(n[:n.find('.')]) for n in os.listdir(path) if n[0]!='.' ]+[0])[-1] + 1 cv2.imwrite('%s/%s.png' % (path, pin), roi_gray) else: print"not found" if __name__ == '__main__': '__main__': while True: #capture = cv2.VideoCapture(0) print "7 queue" q = mp.Queue() p1 = Process(target=setup_camera, args=(q,)) p1.start() print "process 1 started" fr=q.get() print "got frame from queue" p1.join() print "process 2" p2 = Process(target=faceDetect, args=(fr,)) p2.start() print "process 2 started" cv2.imshow('img',fr) cv2.imshow('img',fr) cv2.waitKey(0) capture.release() cv2.destroyAllWindows() #cv2.imshow('img',fr) cv2.waitKey(0) #capture.release() #cv2.destroyAllWindows() # When everything is done, release the capture capture capture.release() Scv2.destroyAllWindows()cv2.destroyAllWindows()