From bc48aac6c6d79c245545027955ee2500897d6834 Mon Sep 17 00:00:00 2001 From: pos97em56 <10225101485@ecnu.stu.edu.cn> Date: Wed, 3 Jul 2024 20:09:18 +0800 Subject: [PATCH] Update face_recog.py --- advanced/face/face_recog.py | 318 +++++++++++++++++------------------- 1 file changed, 154 insertions(+), 164 deletions(-) diff --git a/advanced/face/face_recog.py b/advanced/face/face_recog.py index 5b2338c..e7bc0a1 100644 --- a/advanced/face/face_recog.py +++ b/advanced/face/face_recog.py @@ -1,165 +1,155 @@ -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) - - # 识别人眼 - 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('', 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) - +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 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) + + # 识别人眼 + 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('', 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