From da45a923bc218c31bf600cbdc5ab6eb0b5aff8a9 Mon Sep 17 00:00:00 2001
From: p4qv63h8a <2665515408@qq.com>
Date: Tue, 2 Jul 2024 22:14:07 +0800
Subject: [PATCH] ADD file via upload

---
 advanced/face/face_recog.py | 163 ++++++++++++++++++++++++++++++++++++
 1 file changed, 163 insertions(+)
 create mode 100644 advanced/face/face_recog.py

diff --git a/advanced/face/face_recog.py b/advanced/face/face_recog.py
new file mode 100644
index 0000000..11d3453
--- /dev/null
+++ b/advanced/face/face_recog.py
@@ -0,0 +1,163 @@
+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
\ No newline at end of file