diff --git a/advanced/face/face_recog.py b/advanced/face/face_recog.py
deleted file mode 100644
index 11d3453..0000000
--- a/advanced/face/face_recog.py
+++ /dev/null
@@ -1,163 +0,0 @@
-import tkinter as tk
-from tkinter import filedialog, messagebox
-from tkinter import Toplevel
-from PIL import Image, ImageTk
-import numpy as np
-import cv2
-import os
-
-img_path = ""  # 全局变量，用于存储图像路径
-src = None  # 全局变量，用于存储已选择的图像
-X = None  # 用于存储第一张图像
-Y = None  # 用于存储第二张图像
-img_label = None  # 全局变量，用于存储显示选择的图片的标签
-edge = None
-
-FaceWin = None
-
-# 获取当前脚本文件的目录
-base_path = os.path.dirname(os.path.abspath(__file__))
-
-def select_image(root):
-    global img_path, src, img_label, edge
-
-    img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")])
-    if img_path:
-        # 确保路径中的反斜杠正确处理，并使用 UTF-8 编码处理中文路径
-        img_path_fixed = os.path.normpath(img_path)
-
-        # 图像输入
-        src_temp = cv2.imdecode(np.fromfile(img_path_fixed, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
-        if src_temp is None:
-            messagebox.showerror("错误", "无法读取图片，请选择有效的图片路径")
-            return
-        src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2RGB)
-
-        # 检查 img_label 是否存在且有效
-        if img_label is None or not img_label.winfo_exists():
-            img_label = tk.Label(root)
-            img_label.pack(side=tk.TOP, pady=10)
-
-        img = Image.open(img_path)
-        img.thumbnail((160, 160))
-        img_tk = ImageTk.PhotoImage(img)
-        img_label.configure(image=img_tk)
-        img_label.image = img_tk
-
-        # 定义 edge 变量为 PIL.Image 对象，以便稍后保存
-        edge = Image.fromarray(src)
-    else:
-        messagebox.showerror("错误", "没有选择图片路径")
-
-def show_selected_image(root):
-    global img_label
-    img_label = tk.Label(root)
-    img_label.pack(side=tk.TOP, pady=10)
-    img = Image.open(img_path)
-    img.thumbnail((160, 160))
-    img_tk = ImageTk.PhotoImage(img)
-    img_label.configure(image=img_tk)
-    img_label.image = img_tk
-
-def changeSize(event, img, LabelPic):
-    img_aspect = img.shape[1] / img.shape[0]
-    new_aspect = event.width / event.height
-
-    if new_aspect > img_aspect:
-        new_width = int(event.height * img_aspect)
-        new_height = event.height
-    else:
-        new_width = event.width
-        new_height = int(event.width / img_aspect)
-
-    resized_image = cv2.resize(img, (new_width, new_height))
-    image1 = ImageTk.PhotoImage(Image.fromarray(resized_image))
-    LabelPic.image = image1
-    LabelPic['image'] = image1
-
-def savefile():
-    global edge
-
-    filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")])
-    if not filename:
-        return
-    # 确保 edge 变量已定义
-    if edge is not None:
-        try:
-            edge.save(filename)
-            messagebox.showinfo("保存成功", "图片保存成功！")
-        except Exception as e:
-            messagebox.showerror("保存失败", f"无法保存图片: {e}")
-    else:
-        messagebox.showerror("保存失败", "没有图像可保存")
-
-def face_recog(root):
-    global src, FaceWin, edge
-
-    # 判断是否已经选取图片
-    if src is None:
-        messagebox.showerror("错误", "没有选择图片！")
-        return
-
-    # 转换为灰度图片
-    gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
-
-    # 人脸检测器
-    model_path = os.path.join(base_path, 'haarcascade_frontalface_default.xml')
-    face_cascade = cv2.CascadeClassifier(model_path)
-
-    # 检查模型文件是否成功加载
-    if face_cascade.empty():
-        messagebox.showerror("错误", "无法加载人脸检测模型，请检查文件路径")
-        return
-
-    # 识别人脸
-    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
-
-    # 显示检测结果
-    for (x, y, w, h) in faces:
-        # 在人脸区域添加矩形框
-        cv2.rectangle(src, (x, y), (x + w, y + h), (255, 0, 0), 2)
-
-        # 提取人脸区域的灰度图像
-        face_gray = gray[y:y + h, x:x + w]
-
-        # 眼睛检测器
-        eye_model_path = os.path.join(base_path, 'haarcascade_eye.xml')
-        eye_cascade = cv2.CascadeClassifier(eye_model_path)
-        eyes = eye_cascade.detectMultiScale(face_gray)
-
-        # 在眼睛区域添加矩形框
-        for (ex, ey, ew, eh) in eyes:
-            cv2.rectangle(src, (x + ex, y + ey), (x + ex + ew, y + ey + eh), (0, 255, 0), 2)
-
-    # 更新 edge 变量
-    edge = Image.fromarray(src)
-
-    # 创建Toplevel窗口
-    try:
-        FaceWin.destroy()
-    except Exception:
-        print("NVM")
-    finally:
-        FaceWin = Toplevel()
-        FaceWin.attributes('-topmost', True)
-    FaceWin.geometry("360x300")
-    FaceWin.resizable(True, True)  # 可缩放
-    FaceWin.title("检测到的人脸")
-
-    # 显示图像
-    LabelPic = tk.Label(FaceWin, text="IMG", width=360, height=240)
-    image = ImageTk.PhotoImage(Image.fromarray(cv2.cvtColor(src, cv2.COLOR_BGR2RGB)))
-    LabelPic.image = image
-    LabelPic['image'] = image
-
-    LabelPic.bind('<Configure>', lambda event: changeSize(event, src, LabelPic))
-    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
-
-    # 添加保存按钮
-    btn_save = tk.Button(FaceWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20,
-                         command=savefile)
-    btn_save.pack(pady=10)
-
-    return
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