图片中行人检测GUI代码

以下是使用OpenCV实现行人检测GUI的示例代码：

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

class PedestrianDetectorGUI:
    def __init__(self, win):
        self.win = win
        self.win.title("Pedestrian Detector GUI")
        self.canvas = tk.Canvas(win, width=640, height=480)
        self.canvas.pack()
        self.image = None
        self.rectangles = []

        # Load pedestrian detector model
        self.hog = cv2.HOGDescriptor()
        self.hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

        # Create buttons
        self.detect_button = tk.Button(win, text="Detect Pedestrians", command=self.detect_pedestrians)
        self.detect_button.pack(side=tk.LEFT)
        self.reset_button = tk.Button(win, text="Reset", command=self.reset)
        self.reset_button.pack(side=tk.RIGHT)

        # Create video capture object
        self.cap = cv2.VideoCapture(0)
        self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
        self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

        # Start GUI main loop
        self.update()

    def update(self):
        ret, frame = self.cap.read()
        if ret:
            # Convert frame to RGB
            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

            # Detect pedestrians
            rectangles, weights = self.hog.detectMultiScale(frame, winStride=(8,8))

            # Draw rectangles around pedestrians
            for i, (x, y, w, h) in enumerate(rectangles):
                cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
                cv2.putText(frame, f'Pedestrian {i+1}', (x-10, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,255,0), 2)

            # Update image on canvas
            self.image = ImageTk.PhotoImage(Image.fromarray(frame))
            self.canvas.create_image(0, 0, image=self.image, anchor=tk.NW)

            # Save rectangles for reset button
            self.rectangles = rectangles

        # Schedule next update
        self.win.after(10, self.update)

    def detect_pedestrians(self):
        # Alert user that detection is in progress
        self.detect_button.config(state=tk.DISABLED)
        self.detect_button.config(text="Detecting...")

        # Capture current frame
        ret, frame = self.cap.read()

        # Detect pedestrians in current frame
        rectangles, weights = self.hog.detectMultiScale(frame, winStride=(8,8))

        # Draw rectangles around pedestrians
        for i, (x, y, w, h) in enumerate(rectangles):
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
            cv2.putText(frame, f'Pedestrian {i+1}', (x-10, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,255,0), 2)

        # Update image on canvas
        self.image = ImageTk.PhotoImage(Image.fromarray(frame))
        self.canvas.create_image(0, 0, image=self.image, anchor=tk.NW)

        # Save rectangles for reset button
        self.rectangles = rectangles

        # Alert user that detection is complete
        self.detect_button.config(state=tk.NORMAL)
        self.detect_button.config(text="Detect Pedestrians")

    def reset(self):
        # Remove rectangles from current frame
        frame = cv2.cvtColor(cv2.imread('blank.png'), cv2.COLOR_BGR2RGB)
        for (x, y, w, h) in self.rectangles:
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 0), -1)

        # Update image on canvas
        self.image = ImageTk.PhotoImage(Image.fromarray(frame))
        self.canvas.create_image(0, 0, image=self.image, anchor=tk.NW)

if __name__ == '__main__':
    win = tk.Tk()
    app = PedestrianDetectorGUI(win)
    win.mainloop()

该代码使用OpenCV实现行人检测，使用Tkinter构建GUI界面。代码实现的功能包括：

- 在GUI界面上显示摄像头捕获的视频流；
- 在视频流中检测行人，并用绿色矩形框标记出行人的位置和序号；
- 提供“检测行人”和“重置”两个按钮，分别用于开始行人检测和清除矩形框。

需要注意的是，该代码中使用的视频流来自于计算机内置的摄像头，如果要使用外置摄像头或者视频文件，需要对代码进行相应的修改。