Opencv multiprocessing in python - queue sync

I am a beginner with multiprocessing in Python. I am developing a multiprocessing script for OpenCV, since my computer does not succeed in real-time processing of OpenCV frames. I aim at loading and processing frames in the main process, and displaying them using a child process. My problem is that I do not understand how to build the display loop from the queued frames. Can someone please help?

My code:

#!/usr/bin/env python
from multiprocessing import Process, Queue
from Queue import Empty
from PIL import Image
import cv2
import cv2.cv as cv
import numpy as np

def image_display(taskqueue):
   cv2.namedWindow ('image_display', cv2.CV_WINDOW_AUTOSIZE)
   while True:
      if taskqueue.get()==None:
         continue
      else:
         image = taskqueue.get()
         im = Image.fromstring(image['mode'], image['size'], image['pixels'])
         num_im = np.asarray(im)
         cv2.imshow ('image_display', num_im)


if __name__ == '__main__':
   taskqueue = Queue()
   vidFile = cv2.VideoCapture('doppler.wmv')
   p = Process(target=image_display, args=(taskqueue,))
   p.start()
   while True:
      flag, image=vidFile.read()
      if flag == 0:
         break
      im = Image.fromarray(image)
      im_dict = {
      'pixels': im.tostring(),
      'size': im.size,
      'mode': im.mode,
      }
      taskqueue.put(im_dict)

p.join()
cv.DestroyAllWindows()

EDIT

Thanks to the answers, I was able to find the problem. Below is a modified script in which I slowed my loops on purpose and added an outqueue for debugging. It appears that although the frames captured with vidFile.read() are indeed passed as numpy arrays through the queue and are then passed unmodified as argument to cv2.imshow(),cv2.imshow() refuses to display the image for an unknown reason. Any help to fix that issue would be immensly appreciated!

modified code:

#!/usr/bin/env python
from multiprocessing import Process, Queue
from Queue import Empty
import cv2
import cv2.cv as cv
import numpy as np
import time

def image_display(taskqueue, outqueue):
   cv2.namedWindow ('image_display', cv2.CV_WINDOW_AUTOSIZE)
   while True:
      try:
         outqueue.put('trying')
         time.sleep(1)
         image = taskqueue.get()
         outqueue.put(image)
         cv2.imshow('image_display', image)
      except:
         continue



if __name__ == '__main__':
   taskqueue = Queue()
   outqueue = Queue()
   vidFile = cv2.VideoCapture('doppler.wmv')
   p = Process(target=image_display, args=(taskqueue, outqueue))
   p.start()
   while True:
      print outqueue.get()
      flag, image=vidFile.read()
      if flag == 0:
         break
      taskqueue.put(image)
      time.sleep(0.010)

p.join()
cv.DestroyAllWindows()