如何使用使用 Vimba SDK 的 Allied Vision 相机在 tkinter 中预览流式图像?

问题描述

我想使用 OpenCV 和相机 SDK VimbaPython 在 tkinter 框架内显示来自 Allied Vision 相机的图像。

初始化相机的唯一可能方法是使用 Python with 语句:

with Vimba.get_instance() as vimba:
    cams = vimba.get_all_cameras()
    with cams[0] as camera:
        camera.get_frame()
        # Convert frame to opencv image,then use Image.fromarray and ImageTk.PhotoImage to
        # display it on the tkinter GUI

到目前为止一切正常。但我不仅需要一个框架。相反,我需要不断获取帧并将它们显示在屏幕上,以便进行流式传输。 我发现一种方法是从 tkinter Label 小部件调用 .after(delay,function) 方法。 所以,在获得一帧之后,我想调用相同的函数获取一个新的帧并再次显示它。代码看起来像这样:

with Vimba.get_instance() as vimba:
    cams = vimba.get_all_cameras()
    with cams[0] as camera:

        def show_frame():
            frame = camera.get_frame()
            frame = frame.as_opencv_image()
            im = Image.fromarray(frame)
            img = Image.PhotoImage(im)
            lblVideo.configure(image=img)   # this is the Tkinter Label Widget
            lblVideo.image = img

        show_frame()
        lblVideo.after(20,show_frame)

然后这会显示第一帧并停止,抛出一个错误,指出 Vimba 需要使用 with 语句进行初始化。我对 Python 了解不多,但看起来当我使用 .after() 方法调用函数时,它会以 with 语句结束。

我想知道是否可以在不结束 show_frame() 的情况下执行此 with 函数。此外,我无法每次都初始化相机,因为程序运行速度非常慢。 谢谢

解决方法

我尝试读取 openCV 中的帧并将它们显示在 tkinter 标签中。我能够使用下面的代码做到这一点:

import tkinter as tk
import cv2
from PIL import ImageTk,Image

video_path = "SAMPLE/STORED_VIDEO/PATH"

root = tk.Tk()
base_img = Image.open("PATH/TO/DEFAULT/LABLE/IMAGE")
img_obj = ImageTk.PhotoImage(base_img)
lblVideo = tk.Label(root,image=img_obj)
lblVideo.pack()
cap = cv2.VideoCapture(video_path)

if cap.isOpened():
    def show_frame():
        _,frame = cap.read()
        im = Image.fromarray(frame)
        img = ImageTk.PhotoImage(im)
        lblVideo.configure(image=img)
        lblVideo.image = img
        lblVideo.after(1,show_frame)  # Need to create callback here   
    show_frame()
root.mainloop()

虽然这不包含 with 语句,但您可以尝试替换 after() 函数本身内部的 show_frame 回调。

,

您需要使用线程来运行捕获代码并传递通过 queue 读取的帧。然后主 tkinter 应用程序读取 queue 并使用 .after() 定期显示帧。

以下是基于您发布的代码的示例:

import threading
from queue import SimpleQueue
import tkinter as tk
from PIL import Image,ImageTk
from vimba import Vimba

def camera_streaming(queue):
    global is_streaming
    is_streaming = True
    print("streaming started")
    with Vimba.get_instance() as vimba:
        with vimba.get_all_cameras()[0] as camera:
            while is_streaming:
                frame = camera.get_frame()
                frame = frame.as_opencv_image()
                im = Image.fromarray(frame)
                img = ImageTk.PhotoImage(im)
                queue.put(img) # put the capture image into queue
    print("streaming stopped")

def start_streaming():
    start_btn["state"] = "disabled" # disable start button to avoid running the threaded task more than once
    stop_btn["state"] = "normal"    # enable stop button to allow user to stop the threaded task
    show_streaming()
    threading.Thread(target=camera_streaming,args=(queue,),daemon=True).start()

def stop_streaming():
    global is_streaming,after_id
    is_streaming = False  # terminate the streaming thread
    if after_id:
        lblVideo.after_cancel(after_id) # cancel the showing task
        after_id = None
    stop_btn["state"] = "disabled" # disable stop button
    start_btn["state"] = "normal"  # enable start button

# periodical task to show frames in queue
def show_streaming():
    global after_id
    if not queue.empty():
        image = queue.get()
        lblVideo.config(image=image)
        lblVideo.image = image
    after_id = lblVideo.after(20,show_streaming)

queue = SimpleQueue() # queue for video frames
after_id = None

root = tk.Tk()

lblVideo = tk.Label(root,image=tk.PhotoImage(),width=640,height=480)
lblVideo.grid(row=0,column=0,columnspan=2)

start_btn = tk.Button(root,text="Start",width=10,command=start_streaming)
start_btn.grid(row=1,column=0)

stop_btn = tk.Button(root,text="Stop",command=stop_streaming,state="disabled")
stop_btn.grid(row=1,column=1)

root.mainloop()

注意我没有安装摄像头和SDK,上面的代码可能对你不起作用。我只是演示了如何使用线程、队列和.after()

下面是一个测试 vimba 模块(另存为 vimba.py),我用来使用 VimbaPython 和网络摄像头模拟 OpenCV 模块:

import cv2

class Frame:
    def __init__(self,frame):
        self.frame = frame

    def as_opencv_image(self):
        return self.frame

class Camera:
    def __init__(self,cam_id=0):
        self.cap = cv2.VideoCapture(cam_id,cv2.CAP_DSHOW)

    def __enter__(self):
        return self
    
    def __exit__(self,*args):
        self.cap.release()
        return self

    def get_frame(self):
        ret,frame = self.cap.read()
        if ret:
            return Frame(frame)

class Vimba:
    _instance = None
    
    @classmethod
    def get_instance(self):
        if self._instance is None:
            self._instance = Vimba()
        return self._instance

    def __enter__(self):
        return self

    def __exit__(self,*args):
        return self

    def get_all_cameras(self):
        return (Camera(),)