python gui界面设计：设计一个基于霍夫变换的直线检测系统界面

好的，以下是一个基于Python的GUI界面设计，用于显示基于霍夫变换的直线检测系统的结果：

import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog
from PIL import ImageTk, Image

class LineDetectionGUI:

    def __init__(self, master):
        self.master = master
        self.master.title("Line Detection System")
        self.img_path = None
        self.img = None
        self.processed_img = None
        self.canvas = tk.Canvas(self.master, width=500, height=500)
        self.canvas.pack()
        self.load_btn = tk.Button(self.master, text="Load Image", command=self.load_image)
        self.load_btn.pack(side=tk.LEFT)
        self.process_btn = tk.Button(self.master, text="Process Image", command=self.process_image)
        self.process_btn.pack(side=tk.LEFT)
        self.quit_btn = tk.Button(self.master, text="Quit", command=self.quit)
        self.quit_btn.pack(side=tk.LEFT)

    def load_image(self):
        self.img_path = filedialog.askopenfilename()
        if self.img_path:
            self.img = cv2.imread(self.img_path)
            self.img = cv2.cvtColor(self.img, cv2.COLOR_BGR2RGB)
            self.img = Image.fromarray(self.img)
            self.img = ImageTk.PhotoImage(self.img)
            self.canvas.create_image(0, 0, anchor='nw', image=self.img)

    def process_image(self):
        if self.img_path:
            gray_img = cv2.cvtColor(cv2.imread(self.img_path), cv2.COLOR_BGR2GRAY)
            edges = cv2.Canny(gray_img, 50, 150, apertureSize=3)
            lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
            if lines is not None:
                for line in lines:
                    rho, theta = line[0]
                    a = np.cos(theta)
                    b = np.sin(theta)
                    x0 = a * rho
                    y0 = b * rho
                    x1 = int(x0 + 1000 * (-b))
                    y1 = int(y0 + 1000 * (a))
                    x2 = int(x0 - 1000 * (-b))
                    y2 = int(y0 - 1000 * (a))
                    cv2.line(self.img, (x1, y1), (x2, y2), (0, 0, 255), 2)
            self.processed_img = Image.fromarray(self.img)
            self.processed_img = ImageTk.PhotoImage(self.processed_img)
            self.canvas.create_image(0, 0, anchor='nw', image=self.processed_img)

    def quit(self):
        self.master.quit()

if __name__ == "__main__":
    root = tk.Tk()
    app = LineDetectionGUI(root)
    root.mainloop()

该界面包括三个按钮：一个用于加载图像，一个用于处理图像，一个用于退出系统。在加载图像后，用户可以点击“Process Image”按钮，将执行霍夫变换，检测图像中的直线并将结果显示在屏幕上。