用python编写一个有录入人脸和人脸识别的用户界面

首先，需要安装以下库：OpenCV、face_recognition、tkinter、Pillow。

然后，可以按照以下步骤编写代码：

1. 导入所需库

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

2. 创建用户界面

# 创建主窗口
root = tk.Tk()
root.title("人脸识别")

# 创建画布
canvas = tk.Canvas(root, width=400, height=400)
canvas.pack()

# 创建按钮
btn_capture = tk.Button(root, text="录入人脸")
btn_capture.pack(side=tk.LEFT)

btn_recognize = tk.Button(root, text="人脸识别")
btn_recognize.pack(side=tk.RIGHT)

# 进入消息循环
root.mainloop()

3. 编写录入人脸的函数

def capture_face():
    # 打开摄像头
    cap = cv2.VideoCapture(0)

    # 循环读取摄像头数据，直到按下 Esc 键
    while True:
        ret, frame = cap.read()

        # 显示当前帧
        cv2.imshow("capture", frame)

        # 按下 Esc 键退出
        if cv2.waitKey(1) == 27:
            break

    # 释放摄像头
    cap.release()
    cv2.destroyAllWindows()

    # 保存人脸图像
    cv2.imwrite("face.jpg", frame)

    # 提示保存成功
    tk.messagebox.showinfo("提示", "人脸录入成功！")

4. 编写人脸识别的函数

def recognize_face():
    # 加载已录入的人脸图像
    known_image = face_recognition.load_image_file("face.jpg")
    known_encoding = face_recognition.face_encodings(known_image)[0]

    # 打开摄像头
    cap = cv2.VideoCapture(0)

    # 循环读取摄像头数据，直到按下 Esc 键
    while True:
        ret, frame = cap.read()

        # 查找当前帧中的人脸
        face_locations = face_recognition.face_locations(frame)
        face_encodings = face_recognition.face_encodings(frame, face_locations)

        # 遍历每一张人脸，进行识别
        for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
            # 与已录入的人脸进行比对
            matches = face_recognition.compare_faces([known_encoding], face_encoding)

            # 如果匹配成功，标记为已识别
            if matches[0]:
                cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
                cv2.putText(frame, "已识别", (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

        # 显示当前帧
        cv2.imshow("recognize", frame)

        # 按下 Esc 键退出
        if cv2.waitKey(1) == 27:
            break

    # 释放摄像头
    cap.release()
    cv2.destroyAllWindows()

5. 将函数与按钮绑定

btn_capture.config(command=capture_face)
btn_recognize.config(command=recognize_face)

完整代码如下：