使用多处理在 tkinter 中显示 OpenCV 视频 [英] Display an OpenCV video in tkinter using multiprocessing

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本文介绍了使用多处理在 tkinter 中显示 OpenCV 视频的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我目前正在尝试为 多处理 OpenCV 视频 流开发GUI.下面的代码确实成功地做到了这一点,因为它显示了视频源和一个退出"按钮,但以一种奇怪的方式运行:

I am currently trying to develop a GUI for a multiprocessed OpenCV video stream. The code below does succeed in doing that, since it displays the video feed and a 'quit' button, but runs in a strange manner:

  • 程序在 pythonw.exe(我使用的是 Windows)退出(通过 quit按钮或通过点击'X'关闭窗口)说程序请求运行时以异常方式终止"
  • the program raises a Runtime error in pythonw.exe (I am using windows) on quit (either by the quit button or by closing the window by clicking on 'X') saying the program "requested the Runtime to terminate in an unusual manner"

任何有关如何解决该问题的想法将不胜感激!

Any idea as to how to solve that issue would be greatly appreciated!

我的代码:

#!/usr/bin/python

import numpy as np
from multiprocessing import Process, Queue
from Queue import Empty
import cv2
import cv2.cv as cv
from PIL import Image, ImageTk
import time
import Tkinter as tk

#tkinter GUI functions----------------------------------------------------------
def quit_(root, process):
   process.join()
   root.destroy()

def update_image(image_label, queue):
   frame = queue.get()
   im = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
   a = Image.fromarray(im)
   b = ImageTk.PhotoImage(image=a)
   image_label.configure(image=b)
   image_label._image_cache = b  # avoid garbage collection
   root.update()

def update_all(root, image_label, queue):
   update_image(image_label, queue)
   root.after(0, func=lambda: update_all(root, image_label, queue))

#multiprocessing image processing functions-------------------------------------
def image_capture(queue):
   vidFile = cv2.VideoCapture(0)
   while True:
      try:
         flag, frame=vidFile.read()
         if flag==0:
            break
         queue.put(frame)
         cv2.waitKey(20)
      except:
         continue

if __name__ == '__main__':
   queue = Queue()
   print 'queue initialized...'
   root = tk.Tk()
   print 'GUI initialized...'
   image_label = tk.Label(master=root)# label for the video frame
   image_label.pack()
   print 'GUI image label initialized...'
   p = Process(target=image_capture, args=(queue,))
   p.start()
   print 'image capture process has started...'
   # quit button
   quit_button = tk.Button(master=root, text='Quit',command=lambda: quit_(root,p))
   quit_button.pack()
   print 'quit button initialized...'
   # setup the update callback
   root.after(0, func=lambda: update_all(root, image_label, queue))
   print 'root.after was called...'
   root.mainloop()
   print 'mainloop exit'
   p.join()
   print 'image capture process exit'

  • 配置:Windows 7 Home、Python 2.7.5、OpenCV 2.4
  • 免责声明:以上代码的灵感来自这个.
  • 推荐答案

    我使用 process.terminate() 而不是 process.join() 解决了这个问题quit_(root, process) 函数.

    I solved it by using process.terminate() instead of process.join() in the quit_(root, process) function.

    这篇关于使用多处理在 tkinter 中显示 OpenCV 视频的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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