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Python開發GUI實戰:圖片轉換素描畫工具

發布時間:2020-08-08 03:18:10 來源:ITPUB博客 閱讀:2773 作者:千鋒Python唐小強 欄目:編程語言

python作為膠水語言,幾乎沒有不能做的事情,但個人一直覺得在GUI開發方面,python可以算作是短板了,為什么?因為性能…python的性能問題,往往出現在其他編程語言對其的鄙夷中。但不管如何python在GUI編程上,也是有大量優秀模塊的。

1 . tkinter

Python開發GUI實戰:圖片轉換素描畫工具

也許有些人不知道這個模塊,但如果你安裝python后,使用過自帶的IDLE,那么你就應該了解它。tkinter作為python自帶的GUI模塊,IDLE便是通過該模塊開發的,也是我比較喜歡的一個模塊。

2 . easygui

第一次了解這個模塊,還是在小甲魚的《零基礎入門學習python》時學習的,它對Tkinter進行了二次封裝,使得GUI操作變得更為簡單,但同時也局限于表層的使用,無法自定義更優雅的實現方案。

3 . wxpython

Python開發GUI實戰:圖片轉換素描畫工具

wxpython是一個Python對于wxWidgets(這是用 C++ 編寫)包裝后的產物,算是個流行的跨平臺GUI工具包。wxpython的優勢在于運行速度較快,但編寫起來較為復雜,而且界面美化效果較差…當然有第三方開發的wxFormBuiler拖拽編輯器,能替代部分的底層代碼實現。不在乎外觀但追求速度的朋友,可以考慮它。

4 . PYQT5

Qt是一套跨平臺的C++庫,不論是C++、Java還是Python,都可以通過它來實現GUI界面的開發。PyQt5是Qt v5的一套全面的Python綁定。它實現為超過35個擴展模塊,上千個實現函數。使Python能夠在所有支持的平臺(包括iOS和Android)上用作C++的替代開發語言。
如果你對GUI編程非常感謝興趣,可以用心學學這個模塊,但如果你只是想快速的實現一些GUI的功能,我更推薦大家學tkinter模塊,為什么?

  1. tkinter作為python默認自帶的模塊庫,無需單獨安裝
  2. tkinter相比于wxpython與pyqt在制作小工具的方面,更為高效
  3. tkinter在網上存在大量的快速入門教程

tkinter實戰

為了證明tkinter的方便與高效,今天來編寫一個將圖片轉化為素描畫的小工具,先給大家看看實現效果:

Python開發GUI實戰:圖片轉換素描畫工具

避坑指南

1 . tktiner添加圖片

大家看到,tktiner中附帶了一個我的微信二維碼,這里只是為了演示tkinter添加圖片,沒有絲毫推廣的味道,哈哈…這里要注意下,tktiner在添加圖片時,PhotoImage(file='tmp.gif')要求圖片必須是.gif結尾的圖片,否則就會報錯:

_tkinter.TclError: couldn’t recognize data in image file

2 . 關于base64

大家看到我沒有加載圖片,而是通過base64提前轉碼好二進制文件后,再進行導入,這樣我們打包的exe在使用時,就無需附帶一個圖片文件了!

1importbase6423withopen('清風Python.gif','rb')asf:4data=f.read()5img=base64.b64encode(data)6print(img)

tkinter打包

既然我們開發的是GUI工具,必須得打包成exe才更好玩啊!但是昨天有朋友反饋,打包的地方說的太粗,光看動圖不知道該如何操作。那么今天我簡單說下。

首先python的打包工具很多,但我一直以來比較喜歡使用pyinstaller,當然大家也可以去嘗試cx_freeze、Py2exe等。

首先,我們需要安裝pyinstaller:使用pip install pyinstaller。

安裝完成,會在python程序根目錄的Scripts文件夾下生成pyinstaller.exe。

Python開發GUI實戰:圖片轉換素描畫工具

如果在軟件安裝時,沒有將Scripts添加至系統環境變量,需要手動添加到環境變量的PATH中,否則無法在cmd下使用該命令。

以往很正常的打包,有位朋友反饋使用相同的代碼打包失敗:

Python開發GUI實戰:圖片轉換素描畫工具

pyinstaller報錯


找了半天才發現從python 3.6開始,enum34庫不再與標準庫兼容。該庫也是不必要的,因此只需卸載它即可。
pip uninstall enum34
再次執行打包操作即可。

Python開發GUI實戰:圖片轉換素描畫工具

總體代碼

最后附上工具的整體代碼,可供大家參考:

 1#-*-coding:utf-8-*- 2#@Author:王翔 3#@JianShu:清風Python 4#@Date:2019/11/1401:18 5#@Software:PyCharm 6#@version :Python 3.7.3 7#@File:ChangeImage.py 8 910fromtkinter.messageboximport*11fromtkinter.filedialogimport*12fromtkinterimport*13importbase6414fromPILimportImage,ImageFilter,ImageOps15importos1617img_bs64=b'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'181920defdodge(a,b,alpha):21returnmin(int(a*255/(256-b*alpha)),255)222324defdraw(dir_info,blur=25,alpha=1.0):25base_dir=os.path.dirname(os.path.abspath(__file__))26save_file_name=os.path.join(base_dir,'final.png')27img=Image.open(dir_info)28img1=img.convert('L')#圖片轉換灰色29img2=img1.copy()30img2=ImageOps.invert(img2)31foriinrange(blur):32img2=img2.filter(ImageFilter.BLUR)33width,height=img1.size34forxinrange(width):35foryinrange(height):36a=img1.getpixel((x,y))37b=img2.getpixel((x,y))38img1.putpixel((x,y),dodge(a,b,alpha))39img1.save(save_file_name)40img1.show()414243classLoginPage(object):44def__init__(self,master=None):45self.root=master46self.root.geometry('%dx%d'%(450,250))47self.page=Frame(self.root)48self.Dir=StringVar()49self.Port=StringVar()50self.path=StringVar()51self.dir_info=StringVar()52self.create_page()5354defcreate_page(self):55self.page.grid()56withopen('tmp.gif','wb+')asf:57f.write(base64.b64decode(img_bs64))58self.photo=PhotoImage(file='tmp.gif')59os.remove('tmp.gif')60Label(self.page,text='''6162公眾號:清風Python63作者:王翔64時間:2019-11-1465工具:Python 3. 7. 3 Tkinter 66詳情:圖片轉素描畫工具''',justify=LEFT).grid(row=0,column=0,columnspan=2,rowspan=1,stick=NW)67Label(self.page,text="圖片路徑").grid(row=3,column=0,sticky=W,pady=5)68self.dir_info=Entry(self.page,textvariable=self.path)69self.dir_info.grid(row=3,column=1,columnspan=1,padx=20)70Button(self.root,text="選擇路徑",command=lambda:self.select_path()).grid(row=0,column=0,sticky=S,padx=20,71pady=5)72Label(self.page,image=self.photo).grid(row=0,column=2)73Button(self.page,text='轉換',command=self.login_check,width=10).grid(row=3,column=2,padx=10,pady=5)7475defselect_path(self):76path_=askopenfilename(filetypes=[("file","*.*")])77self.path.set(path_)7879deflogin_check(self):80img_dir=self.dir_info.get()81ifimg_dir=="":82showinfo(title='錯誤',massage='路徑錯誤')83else:84draw(img_dir)858687root=Tk()88root.title('素描畫轉化工具')89LoginPage(root)90root.mainloop()

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