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import tkinter as tk
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from tkinter import ttk, filedialog, messagebox
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from tkinter import Toplevel
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from PIL import Image, ImageTk
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from ttkbootstrap import Style
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import numpy as np
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import cv2
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import os
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from .image_operations import locate_license_plate, recognize_characters
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edge = None
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processed_win = None
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def select_image(root, img_container):
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global 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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img_path_fixed = os.path.normpath(img_path)
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img_container['file_path'] = img_path_fixed
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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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img_container['image'] = src
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if 'img_label' not in img_container or not isinstance(img_container['img_label'], tk.Label):
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img_container['img_label'] = tk.Label(root)
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img_container['img_label'].pack(side=tk.TOP, pady=10)
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img = Image.fromarray(src)
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img.thumbnail((200, 200))
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img_tk = ImageTk.PhotoImage(img)
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img_container['img_label'].configure(image=img_tk)
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img_container['img_label'].image = img_tk
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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 change_size(event, img, label_pic):
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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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image_tk = ImageTk.PhotoImage(Image.fromarray(resized_image))
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label_pic.image = image_tk
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label_pic['image'] = image_tk
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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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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 detect_and_show_processed_image(root, img_container):
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global processed_win, edge
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# 判断是否已经选取图片
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if 'file_path' not in img_container or not img_container['file_path']:
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messagebox.showerror("错误", "没有选择图片!")
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return
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file_path = img_container['file_path']
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print(f"File path: {file_path}") # 调试输出文件路径
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# 调用图像处理函数
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processed_img = locate_license_plate(file_path)
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# 识别字符
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recognized_text = recognize_characters(processed_img)
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# 转换为RGB格式
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processed_img_rgb = cv2.cvtColor(processed_img, cv2.COLOR_BGR2RGB)
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# 更新 edge 变量
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edge = Image.fromarray(processed_img_rgb)
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# 创建Toplevel窗口
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try:
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processed_win.destroy()
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except Exception:
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print("NVM")
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finally:
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processed_win = Toplevel(root)
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processed_win.attributes('-topmost', True)
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processed_win.geometry("360x340")
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processed_win.resizable(True, True) # 可缩放
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processed_win.title("处理后的图像")
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# 显示图像
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label_pic = tk.Label(processed_win, text="IMG", width=360, height=240)
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image_tk = ImageTk.PhotoImage(Image.fromarray(processed_img_rgb))
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label_pic.image = image_tk
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label_pic['image'] = image_tk
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label_pic.bind('<Configure>', lambda event: change_size(event, processed_img_rgb, label_pic))
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label_pic.pack(fill=tk.BOTH, expand=tk.YES)
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# 显示识别结果
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result_label = tk.Label(processed_win, text=f"识别结果: {recognized_text}")
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result_label.pack(side=tk.TOP, pady=10)
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# 添加保存按钮
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btn_save = tk.Button(processed_win, 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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