infinity length after using get_length() . How to tackle the infinity images situation?

[Prashant]

In the else loop I have the nframe object as infinity. What is the way I should handle this case so that I can run the for loop. 

Is there a way I can handle this condition in imageio? I would appreciate your advice. 

I have a reader object

 reader = imageio.get_reader(vidoe.mp4,"ffmpeg")

Now  I have this frame reader function :

def read_frames(reader, frame_q, use_webcam):

   if use_webcam:

       time.sleep(15)

       frame_cnt = 0

       while True:

           #if frame_cnt % 5 == 0:    

           #    ret, frame = reader.read()

           #    cur_img = frame[:,:,::-1]

           #    frame_q.put(cur_img)

           #else:

           #    ret, frame = reader.read()

           ret, frame = reader.read()

           cur_img = frame[:,:,::-1] # bgr to rgb from opencv reader

           frame_q.put(cur_img)

           if frame_q.qsize() > 100:

               time.sleep(1)

           else:

               time.sleep(DELAY/1000.)

               

           #print(cur_img.shape)

   else: #for cur_img in reader: # this is imageio reader, it uses rgb

       nframes = reader.get_length()

       print("#####",nframes) ### prints "inf" >> not abble to handle this condition to

        ###run the for loop below

       #if nframes == float('inf') or nframes ==float('-inf'):

       #return float("nan")

       # continue

        #return int(nframes)

        for ii in range(nframes):

           while frame_q.qsize() > 500: # so that we dont use huge amounts of memory

               time.sleep(1)

           cur_img = reader.get_next_data()

           frame_q.put(cur_img)

               #shape = cur_img.shape

               #noisy_img = np.uint8(cur_img.astype(np.float) + np.random.randn(*shape) * 20)

               #frame_q.put(noisy_img)

            if ii % 100 == 0:

               print("%i / %i frames in queue" % (ii, nframes))

       print("All %i frames in queue" % (nframes))