python tkinter Webcam實時偵測

使用Python的Tkinter库实现Webcam实时检测需要借助第三方库OpenCV。

下面是一个示例代码，可以实现Webcam实时检测：

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

class Application:
    def __init__(self, window, video_source=0):
        self.window = window
        self.window.title("Webcam实时检测")
        
        # 打开视频流
        self.video_source = video_source
        self.vid = MyVideoCapture(self.video_source)
        
        # 创建一个Canvas对象用于显示视频流
        self.canvas = tk.Canvas(window, width=self.vid.width, height=self.vid.height)
        self.canvas.pack()
        
        # 创建一个“开始”按钮和“停止”按钮
        self.btn_start = tk.Button(window, text="开始", width=50, command=self.start)
        self.btn_start.pack(anchor=tk.CENTER, expand=True)
        
        self.btn_stop = tk.Button(window, text="停止", width=50, command=self.stop)
        self.btn_stop.pack(anchor=tk.CENTER, expand=True)
        
        self.delay = 15
        self.update()
        
        self.window.mainloop()
    
    def start(self):
        self.vid.start()
    
    def stop(self):
        self.vid.stop()
    
    def update(self):
        # 获取一帧视频
        ret, frame = self.vid.get_frame()
        
        if ret:
            self.photo = ImageTk.PhotoImage(image=Image.fromarray(frame))
            self.canvas.create_image(0, 0, image=self.photo, anchor=tk.NW)
        
        self.window.after(self.delay, self.update)
        
class MyVideoCapture:
    def __init__(self, video_source=0):
        self.vid = cv2.VideoCapture(video_source)
        if not self.vid.isOpened():
            raise ValueError("无法打开视频流", video_source)
        
        self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
        self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
    
    def start(self):
        if not self.vid.isOpened():
            self.vid.open(self.video_source)
    
    def stop(self):
        if self.vid.isOpened():
            self.vid.release()
    
    def get_frame(self):
        if self.vid.isOpened():
            ret, frame = self.vid.read()
            if ret:
                return (ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
            else:
                return (ret, None)
        else:
            return (ret, None)
        
    def __del__(self):
        if self.vid.isOpened():
            self.vid.release()
        
# 创建GUI界面
Application(tk.Tk(), video_source=0)

这个示例代码中，我们使用了OpenCV读取摄像头的视频流，并将每一帧转换成Tkinter支持的图像格式，然后在Canvas对象上显示。同时，我们还创建了“开始”和“停止”按钮，用于控制视频流的开启和关闭。