python编写GUI目标检测系统程序的代码

以下是一个简单的Python GUI目标检测系统程序的代码示例，使用了OpenCV和Tkinter库：

import cv2
import tkinter as tk
from tkinter import filedialog

class ObjectDetector:
    def __init__(self):
        self.image_path = ''
        self.classifier_path = 'cascade.xml'
        self.scale_factor = 1.1
        self.min_neighbors = 5
        self.min_size = (30, 30)
        self.window = tk.Tk()
        self.window.title('Object Detector')
        self.window.geometry('400x300')
        self.canvas = tk.Canvas(self.window, width=400, height=250)
        self.canvas.pack()
        self.btn_browse = tk.Button(self.window, text='Browse', command=self.browse_file)
        self.btn_browse.pack(pady=10)
        self.btn_detect = tk.Button(self.window, text='Detect', command=self.detect_objects)
        self.btn_detect.pack(pady=10)

    def browse_file(self):
        self.image_path = filedialog.askopenfilename(initialdir='/', title='Select Image File', filetypes=(('JPEG Files', '*.jpg'), ('PNG Files', '*.png'), ('All Files', '*.*')))
        img = cv2.imread(self.image_path)
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        height, width, channels = img.shape
        self.canvas.config(width=width, height=height)
        self.photo = tk.PhotoImage(width=width, height=height)
        self.photo.blank()
        self.photo = self.convert_img_to_photo(img)
        self.canvas.create_image(0, 0, anchor=tk.NW, image=self.photo)

    def detect_objects(self):
        if self.image_path == '':
            tk.messagebox.showerror('Error', 'Please select an image file.')
            return
        img = cv2.imread(self.image_path)
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        classifier = cv2.CascadeClassifier(self.classifier_path)
        objects = classifier.detectMultiScale(gray, scaleFactor=self.scale_factor, minNeighbors=self.min_neighbors, minSize=self.min_size)
        for (x, y, w, h) in objects:
            cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.photo = self.convert_img_to_photo(img)
        self.canvas.create_image(0, 0, anchor=tk.NW, image=self.photo)

    def convert_img_to_photo(self, img):
        height, width, channels = img.shape
        photo = tk.PhotoImage(width=width, height=height)
        photo.blank()
        photo = self.put_img_into_photo(img, photo, height, width)
        return photo

    def put_img_into_photo(self, img, photo, height, width):
        for y in range(height):
            for x in range(width):
                r, g, b = img[y][x]
                color = '#{:02x}{:02x}{:02x}'.format(r, g, b)
                photo.put(color, (x, y))
        return photo

    def run(self):
        self.window.mainloop()

if __name__ == '__main__':
    detector = ObjectDetector()
    detector.run()

该程序包括一个GUI窗口，允许用户通过文件选择对话框选择要检测的图像文件。然后使用OpenCV库中的CascadeClassifier类来检测图像中的对象，并将其绘制在图像中。最后，将绘制后的图像显示在GUI窗口中。