parent
c2f3cfc18a
commit
b4c7012749
@ -1,163 +0,0 @@
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import tkinter as tk
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from tkinter import filedialog, messagebox
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from tkinter import Toplevel
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from PIL import Image, ImageTk
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import numpy as np
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import cv2
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import os
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img_path = "" # 全局变量，用于存储图像路径
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src = None # 全局变量，用于存储已选择的图像
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X = None # 用于存储第一张图像
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Y = None # 用于存储第二张图像
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img_label = None # 全局变量，用于存储显示选择的图片的标签
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edge = None
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FaceWin = None
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# 获取当前脚本文件的目录
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base_path = os.path.dirname(os.path.abspath(__file__))
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def select_image(root):
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global img_path, src, img_label, edge
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img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")])
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if img_path:
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# 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
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img_path_fixed = os.path.normpath(img_path)
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# 图像输入
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src_temp = cv2.imdecode(np.fromfile(img_path_fixed, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
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if src_temp is None:
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messagebox.showerror("错误", "无法读取图片，请选择有效的图片路径")
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return
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src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2RGB)
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# 检查 img_label 是否存在且有效
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if img_label is None or not img_label.winfo_exists():
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img_label = tk.Label(root)
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img_label.pack(side=tk.TOP, pady=10)
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img = Image.open(img_path)
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img.thumbnail((160, 160))
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img_tk = ImageTk.PhotoImage(img)
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img_label.configure(image=img_tk)
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img_label.image = img_tk
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# 定义 edge 变量为 PIL.Image 对象，以便稍后保存
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edge = Image.fromarray(src)
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else:
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messagebox.showerror("错误", "没有选择图片路径")
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def show_selected_image(root):
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global img_label
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img_label = tk.Label(root)
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img_label.pack(side=tk.TOP, pady=10)
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img = Image.open(img_path)
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img.thumbnail((160, 160))
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img_tk = ImageTk.PhotoImage(img)
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img_label.configure(image=img_tk)
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img_label.image = img_tk
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def changeSize(event, img, LabelPic):
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img_aspect = img.shape[1] / img.shape[0]
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new_aspect = event.width / event.height
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if new_aspect > img_aspect:
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new_width = int(event.height * img_aspect)
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new_height = event.height
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else:
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new_width = event.width
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new_height = int(event.width / img_aspect)
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resized_image = cv2.resize(img, (new_width, new_height))
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image1 = ImageTk.PhotoImage(Image.fromarray(resized_image))
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LabelPic.image = image1
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LabelPic['image'] = image1
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def savefile():
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global edge
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filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")])
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if not filename:
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return
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# 确保 edge 变量已定义
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if edge is not None:
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try:
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edge.save(filename)
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messagebox.showinfo("保存成功", "图片保存成功！")
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except Exception as e:
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messagebox.showerror("保存失败", f"无法保存图片: {e}")
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else:
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messagebox.showerror("保存失败", "没有图像可保存")
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def face_recog(root):
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global src, FaceWin, edge
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# 判断是否已经选取图片
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if src is None:
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messagebox.showerror("错误", "没有选择图片！")
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return
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# 转换为灰度图片
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gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
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# 人脸检测器
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model_path = os.path.join(base_path, 'haarcascade_frontalface_default.xml')
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face_cascade = cv2.CascadeClassifier(model_path)
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# 检查模型文件是否成功加载
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if face_cascade.empty():
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messagebox.showerror("错误", "无法加载人脸检测模型，请检查文件路径")
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return
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# 识别人脸
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faces = face_cascade.detectMultiScale(gray, 1.3, 5)
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# 显示检测结果
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for (x, y, w, h) in faces:
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# 在人脸区域添加矩形框
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cv2.rectangle(src, (x, y), (x + w, y + h), (255, 0, 0), 2)
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# 提取人脸区域的灰度图像
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face_gray = gray[y:y + h, x:x + w]
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# 眼睛检测器
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eye_model_path = os.path.join(base_path, 'haarcascade_eye.xml')
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eye_cascade = cv2.CascadeClassifier(eye_model_path)
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eyes = eye_cascade.detectMultiScale(face_gray)
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# 在眼睛区域添加矩形框
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for (ex, ey, ew, eh) in eyes:
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cv2.rectangle(src, (x + ex, y + ey), (x + ex + ew, y + ey + eh), (0, 255, 0), 2)
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# 更新 edge 变量
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edge = Image.fromarray(src)
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# 创建Toplevel窗口
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try:
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FaceWin.destroy()
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except Exception:
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print("NVM")
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finally:
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FaceWin = Toplevel()
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FaceWin.attributes('-topmost', True)
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FaceWin.geometry("360x300")
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FaceWin.resizable(True, True) # 可缩放
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FaceWin.title("检测到的人脸")
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# 显示图像
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LabelPic = tk.Label(FaceWin, text="IMG", width=360, height=240)
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image = ImageTk.PhotoImage(Image.fromarray(cv2.cvtColor(src, cv2.COLOR_BGR2RGB)))
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LabelPic.image = image
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LabelPic['image'] = image
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LabelPic.bind('<Configure>', lambda event: changeSize(event, src, LabelPic))
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LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
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# 添加保存按钮
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btn_save = tk.Button(FaceWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20,
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command=savefile)
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btn_save.pack(pady=10)
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return
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