0601

login.py

@@ -1,5 +1,6 @@
 from tkinter import *
 import tkinter as tk
+import subprocess
 from tkinter import filedialog
 import pymysql
 from flask import Flask, render_template, request, redirect, url_for
@@ -31,7 +32,10 @@ def userinfo_query(username, password):
 def user_register():
     deng = Tk()
     deng.title("注册")
-    deng.geometry("300x200")
+    deng.geometry("300x200+280+580")
+
+
+
 
     # 在GUI中添加新的输入字段和按钮
     label_new_username = Label(deng, text="新账号：")
@@ -43,17 +47,19 @@ def user_register():
     entry_new_password = Entry(deng, show="*")
     entry_new_password.pack()
 
-    btn_register = Button(deng, text="注册", command=lambda: register_action(entry_new_username, entry_new_password))
+    btn_register = Button(deng, text="注册", command=lambda: register_action(deng, entry_new_username, entry_new_password))
     btn_register.pack(side='right', padx=50)
 
 
-def register_action(entry_new_username, entry_new_password):
+def register_action(deng, entry_new_username, entry_new_password):
     cursor.execute("INSERT INTO user (`username`, `password`) VALUES (%s, %s)",
                    (entry_new_username.get(), entry_new_password.get()))
     conn.commit()
+    deng.destroy()
     print("注册成功！")
 
 
+
 def user_login():
     global count
     count = 2
@@ -68,31 +74,45 @@ def user_login():
         label_message.config(text="账号错误！")
     else:
         if password_input in password_list:
+            print("debug1")
+
+            windows.destroy()
             def choose_folde():
+                print("debug2")
                 root.destroy()
                 root5 = tk.Tk()
                 root5.title('选择图片')
                 root5.geometry('300x300')
-                folder_path = filedialog.askdirectory()
+                filename = filedialog.askopenfilename(
-                if folder_path:
+                    initialdir="/",  # 设置对话框初始打开的目录
-                    print(f"您选择了文件夹: {folder_path}")
+                    title="选择图片",
-
+                    filetypes=(("图片文件", "*.jpg;*.png;*.gif"), ("所有文件", "*.*"))  # 指定文件类型过滤器
-                root.mainloop()
+                )
-            def callback():
+                if filename:  # 如果用户选择了文件
-                rootback = tk.Tk()
+                    # 使用subprocess运行另一个Python脚本，并将图片路径作为参数传递
-                rootback.title('用户界面')
+                    root5.destroy()
-                rootback.geometry('300x300')
+                    subprocess.run(["python", "scan.py", "-i", filename])
-                tk.Label(rootback, text='请选择你的功能').pack()
+                    exit()
-                tk.Button(rootback, text="选择需要扫描的图片", command=choose_folde).pack()
+
-                rootback.mainloop()
+                # root.mainloop()
+            # def callback():
+            #     rootback = tk.Tk()
+            #     rootback.title('用户界面')
+            #     rootback.geometry('300x300')
+            #     tk.Label(rootback, text='请选择你的功能').pack()
+            #     tk.Button(rootback, text="选择需要扫描的图片", command=choose_folde).pack()
+            #     rootback.mainloop()
 
             # windows.destroy()
+
             root = tk.Tk()
             root.title('用户界面')
             root.geometry('300x300')
             tk.Label(root, text='请选择你的功能').pack()
             tk.Button(root, text="选择需要扫描的图片", command=choose_folde).pack()
-            tk.mainloop()
+            # tk.mainloop()
+            print("debug3")
+
         else:
             label_message.config(text="密码错误！还可以尝试{}次".format(count))
             count += 1
@@ -104,6 +124,7 @@ def user_login():
 windows = Tk()
 windows.title("登录")
 windows.geometry("300x200")
+# windows.configure(bg='#3ffff3')
 label_username = Label(windows, text="账号：")
 label_username.pack()
 entry_username = Entry(windows)
@@ -114,6 +135,7 @@ entry_password = Entry(windows, show="*")
 entry_password.pack()
 
 btn_login = Button(windows, text="登录", command=user_login)
+print("debug0")
 btn_login.pack(side='left', padx=50)
 entry_password.pack()
 btn_login = Button(windows, text='注册', command=user_register)

scan.py

@@ -6,11 +6,21 @@ import pytesseract
 import os
 from PIL import Image
 
-# 设置参数
+# def process_image(image_path):
-ap = argparse.ArgumentParser()
+#     try:
-ap.add_argument("-i", "--image", required = True,
+#         # 使用Pillow库打开并显示图片
-	help = "Path to the image to be scanned") 
+#         with Image.open(image_path) as img:
-args = vars(ap.parse_args())
+#             img.show()
+#             # 在这里添加更多处理图片的代码...
+#     except IOError:
+#         print(f"无法打开图片: {image_path}")
+
+def main():
+    parser = argparse.ArgumentParser(description="处理图片的脚本")
+    parser.add_argument("-i", "--image", required=True, help="指定要处理的图片的路径")
+    args = parser.parse_args()
+    # process_image(args.image)
+    print("main")
 
 def order_points(pts):
 	# 一共4个坐标点
@@ -71,39 +81,48 @@ def resize(image, width=None, height=None, inter=cv2.INTER_AREA):
 	resized = cv2.resize(image, dim, interpolation=inter)
 	return resized
 
+# 设置参数
+ap = argparse.ArgumentParser()
+ap.add_argument("-i", "--image", required = True,
+	help = "Path to the image to be scanned")
+args = vars(ap.parse_args())
+print("arg")
+
+print(__name__)
+if __name__ == "__main__":
+    main()
+
 # 读取输入
 image = cv2.imread(args["image"])
 #坐标也会相同变化
 ratio = image.shape[0] / 500.0
 orig = image.copy()
-
-
 image = resize(orig, height = 500)
 
 # 预处理
-gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)  # 色彩空间转换
-gray = cv2.GaussianBlur(gray, (5, 5), 0)
+gray = cv2.GaussianBlur(gray, (5, 5), 0)  # 高斯模糊
 edged = cv2.Canny(gray, 75, 200)
 
 # 展示预处理结果
 print("STEP 1: 边缘检测")
-cv2.imshow("Image", image)
+# cv2.imshow("Image", image)
-cv2.imshow("Edged", edged)
+# cv2.imshow("Edged", edged)
-cv2.waitKey(0)
+# cv2.waitKey(0)
-cv2.destroyAllWindows()
+# cv2.destroyAllWindows()
 
 # 轮廓检测
 cnts = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)[0]
-cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:5]
+cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:5]  # 降序排列+切片
 
 # 遍历轮廓
 for c in cnts:
 	# 计算轮廓近似
 	peri = cv2.arcLength(c, True)
-	# C表示输入的点集
+	# C表示输入的点集（数组）
 	# epsilon表示从原始轮廓到近似轮廓的最大距离，它是一个准确度参数
 	# True表示封闭的
-	approx = cv2.approxPolyDP(c, 0.05 * peri, True)
+	approx = cv2.approxPolyDP(c, 0.10 * peri, True)  # 近似
 
 	# 4个点的时候就拿出来
 	if len(approx) == 4:
@@ -113,9 +132,9 @@ for c in cnts:
 # 展示结果
 print("STEP 2: 获取轮廓")
 cv2.drawContours(image, [screenCnt], -1, (0, 255, 0), 2)
-cv2.imshow("Outline", image)
+# cv2.imshow("Outline", image)
-cv2.waitKey(0)
+# cv2.waitKey(0)
-cv2.destroyAllWindows()
+# cv2.destroyAllWindows()
 
 # 透视变换
 warped = four_point_transform(orig, screenCnt.reshape(4, 2) * ratio)
@@ -124,27 +143,26 @@ warped = four_point_transform(orig, screenCnt.reshape(4, 2) * ratio)
 warped = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)
 ref = cv2.threshold(warped, 100, 255, cv2.THRESH_BINARY)[1]
 cv2.imwrite('scan.jpg', ref)
+
 # 展示结果
 print("STEP 3: 变换")
-cv2.imshow("Original", resize(orig, height = 650))
+# cv2.imshow("Original", resize(orig, height = 650))
-cv2.imshow("Scanned", resize(ref, height = 650))
+# cv2.imshow("Scanned", resize(ref, height = 650))
-cv2.waitKey(0)
+# cv2.waitKey(0)
-cv2.destroyAllWindows()
+# cv2.destroyAllWindows()
 
-'''
+# OCR扫描
-OCR扫描
-'''
 preprocess = "blur"
 
 if preprocess == "thresh":
 	gray = cv2.threshold(ref, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
 if preprocess == "blur":
 	gray = cv2.medianBlur(ref, 3)
-cv2.imshow("Detect", gray)
+# cv2.imshow("Detect", gray)
 
 filename = "{}.png".format(os.getpid())
 cv2.imwrite(filename, gray)
-text = pytesseract.image_to_string(Image.open(filename))
+text = pytesseract.image_to_string(Image.open(filename))  # 调用Tesseract OCR引擎对保存的图像进行文本识别
 os.remove(filename)
 
 encodings = ['utf-8', 'latin1', 'iso-8859-1', 'cp1252', 'gbk', 'big5']