前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >Python开发GUI实战:图片转换素描画工具!

Python开发GUI实战:图片转换素描画工具!

作者头像
Python进阶者
发布2019-12-02 11:42:39
2.1K0
发布2019-12-02 11:42:39
举报

今天被这句话触动了,所以开篇分享给大家。鸡汤有毒,但有时大家却靠它激励自己继续前行!

python开发GUI

程序员的自我救赎,使用python开发性格分析工具 这篇文章,通过Python编写了GUI的性格分析工具。一位从我公众号开始结识的朋友,询问关于如何快速编写一个exe工具的问题。由于功能简单且之前无相关GUI编程基础,为了快速完成开发,我向他推荐了easygui模块。 python作为胶水语言,几乎没有不能做的事情,但个人一直觉得在GUI开发方面,python可以算作是短板了,为什么?因为性能…python的性能问题,往往出现在其他编程语言对其的鄙夷中。但不管如何python在GUI编程上,也是有大量优秀模块的。

1

tkinter

也许有些人不知道这个模块,但如果你安装python后,使用过自带的IDLE,那么你就应该了解它。tkinter作为python自带的GUI模块,IDLE便是通过该模块开发的,也是我比较喜欢的一个模块。

2

easygui

第一次了解这个模块,还是在小甲鱼的《零基础入门学习python》时学习的,它对Tkinter进行了二次封装,使得GUI操作变得更为简单,但同时也局限于表层的使用,无法自定义更优雅的实现方案。

3

wxpython

wxpython是一个Python对于wxWidgets(这是用 C++ 编写)包装后的产物,算是个流行的跨平台GUI工具包。wxpython的优势在于运行速度较快,但编写起来较为复杂,而且界面美化效果较差…当然有第三方开发的wxFormBuiler拖拽编辑器,能替代部分的底层代码实现。不在乎外观但追求速度的朋友,可以考虑它。

4

PYQT5

Qt是一套跨平台的C++库,不论是C++、Java还是Python,都可以通过它来实现GUI界面的开发。PyQt5是Qt v5的一套全面的Python绑定。它实现为超过35个扩展模块,上千个实现函数。使Python能够在所有支持的平台(包括iOS和Android)上用作C++的替代开发语言。 如果你对GUI编程非常感谢兴趣,可以用心学学这个模块,但如果你只是想快速的实现一些GUI的功能,我更推荐大家学习tkinter模块,为什么?

  1. tkinter作为python默认自带的模块库,无需单独安装
  2. tkinter相比于wxpython与pyqt在制作小工具的方面,更为高效
  3. tkinter在网上存在大量的快速入门教程

tkinter实战

为了证明tkinter的方便与高效,今天来编写一个将图片转化为素描画的小工具,先给大家看看实现效果:

避坑指南

1

tktiner添加图片

大家看到,tktiner中附带了一个我的微信二维码,这里只是为了演示tkinter添加图片,没有丝毫推广的味道,哈哈…这里要注意下,tktiner在添加图片时,PhotoImage(file='tmp.gif')要求图片必须是.gif结尾的图片,否则就会报错:

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

2

关于base64

大家看到我没有加载图片,而是通过base64提前转码好二进制文件后,再进行导入,这样我们打包的exe在使用时,就无需附带一个图片文件了!

代码语言:javascript
复制
import base64

with open('清风Python.gif','rb') as f:
    data = f.read()
img = base64.b64encode(data)
print(img)
代码语言:javascript
复制

tkinter打包

既然我们开发的是GUI工具,必须得打包成exe才更好玩啊!但是昨天有朋友反馈,打包的地方说的太粗,光看动图不知道该如何操作。那么今天我简单说下。

首先python的打包工具很多,但我一直以来比较喜欢使用pyinstaller,当然大家也可以去尝试cx_freeze、Py2exe等。

首先,我们需要安装pyinstaller:使用pip install pyinstaller。

安装完成,会在python程序根目录的Scripts文件夹下生成pyinstaller.exe。

如果在软件安装时,没有将Scripts添加至系统环境变量,需要手动添加到环境变量的PATH中,否则无法在cmd下使用该命令。

以往很正常的打包,有位朋友反馈使用相同的代码打包失败:

pyinstaller报错 找了半天才发现从python 3.6开始,enum34库不再与标准库兼容。该库也是不必要的,因此只需卸载它即可。 pip uninstall enum34 再次执行打包操作即可。

总体代码

最后附上工具的整体代码,可供大家参考:

代码语言:javascript
复制
代码语言:javascript
复制
# -*- coding: utf-8 -*-
# @Author   : 王翔
# @JianShu  : 清风Python
# @Date     : 2019/11/14 01:18
# @Software : PyCharm
# @version  :Python 3.7.3
# @File     : ChangeImage.py


from tkinter.messagebox import *
from tkinter.filedialog import *
from tkinter import *
import base64
from PIL import Image, ImageFilter, ImageOps
import os

/*
* 提示:该行代码过长,系统自动注释不进行高亮。一键复制会移除系统注释 
* img_bs64 = b'R0lGODlhwADBAPcAAAAAAAAAMwAAZgAAmQAAzAAA/wArAAArMwArZgArmQArzAAr/wBVAABVMwBVZgBVmQBVzABV/wCAAACAMwCAZgCAmQCAzACA/wCqAACqMwCqZgCqmQCqzACq/wDVAADVMwDVZgDVmQDVzADV/wD/AAD/MwD/ZgD/mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMrADMrMzMrZjMrmTMrzDMr/zNVADNVMzNVZjNVmTNVzDNV/zOAADOAMzOAZjOAmTOAzDOA/zOqADOqMzOqZjOqmTOqzDOq/zPVADPVMzPVZjPVmTPVzDPV/zP/ADP/MzP/ZjP/mTP/zDP//2YAAGYAM2YAZmYAmWYAzGYA/2YrAGYrM2YrZmYrmWYrzGYr/2ZVAGZVM2ZVZmZVmWZVzGZV/2aAAGaAM2aAZmaAmWaAzGaA/2aqAGaqM2aqZmaqmWaqzGaq/2bVAGbVM2bVZmbVmWbVzGbV/2b/AGb/M2b/Zmb/mWb/zGb//5kAAJkAM5kAZpkAmZkAzJkA/5krAJkrM5krZpkrmZkrzJkr/5lVAJlVM5lVZplVmZlVzJlV/5mAAJmAM5mAZpmAmZmAzJmA/5mqAJmqM5mqZpmqmZmqzJmq/5nVAJnVM5nVZpnVmZnVzJnV/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwAM8wAZswAmcwAzMwA/8wrAMwrM8wrZswrmcwrzMwr/8xVAMxVM8xVZsxVmcxVzMxV/8yAAMyAM8yAZsyAmcyAzMyA/8yqAMyqM8yqZsyqmcyqzMyq/8zVAMzVM8zVZszVmczVzMzV/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8Amf8AzP8A//8rAP8rM/8rZv8rmf8rzP8r//9VAP9VM/9VZv9Vmf9VzP9V//+AAP+AM/+AZv+Amf+AzP+A//+qAP+qM/+qZv+qmf+qzP+q///VAP/VM//VZv/Vmf/VzP/V////AP//M///Zv//mf//zP///wAAAAAAAAAAAAAAACH5BAEAAPwALAAAAADAAMEAAAj/APcJHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIENOBECypMmTKFOWFDNRGTFlkyalEXMjxooAAW4CiCEjjcifD8OoHErU5MGiSFXeKKgMjUJ6+8RMIjaJ0Q0ZYmJkknQgRowAXm9MylSRJcVMZAWigboPLUM0yg7CLSgmqV2jBu/qNTswE4CEylySzDTmxs6s+5btDLB4xU6KxADEHfl3nzIAmgQ6ZgggbcHOBXHovXt0dFK+DZVlEkMsE5pJjWKIweG1NtjbBlAD3U3XdNLSJGOgETO8OPHjxpNPMqlbYb1Mk8Rk6jVG0nAxs73mPKDiwAqvrJku/6MXd5m+8dHoRavHO2PdksmRy4+PBk0MvJ/hW2QOURIj1powIskYYoSBnVcrGPDVCl3FcANqzxFDjCYuUfjSeMosA017Fr1HkkVo4EcQfxWRiNBjbQEQQBiRwUCMGDAAIEYakgTHGAAP+lRPTfc5mAZJ0U0SVQxjDDbWPjIJeWJllxEj0H0CXTbMk0yCVlA9VkKZkFAldSjiQCY5VWJJSyUknUCRyUaPbNFhF5MYB+xU24HQ4TCbCnZmJRxxysxmn3BjTAJTGpNoQtWFA8U00A2TTSLmPjg0+qgYk9E12WoKeVgZRSF2mddK+4Ha0DDYZfJcm0LCZBN42M0GwHetXv/Xaqt5YlfrGITSWFehgS1TKYehfRmRpsAB8Og+p40o6kKtAfBmgVJJMkltXtEW52HX8cigV111BdaDs9YUBrh2PugkQb8CS+xAmg5FUKcffkoSasmCuaxCqwUgyUzDTBLGa8rc4Fh0MaggFng88pSJTQfM+J1W1To4m3TY8SiGDHZmIuFA5hHklkEfOzSMZ3MRxGW8ArWrEkHr5kfSsfUKZFKZCzVi2HBlypaZV39BoyJLw8lAEmNhQBrvvEPedxhLM733YI92bmjZuTJvStBmD2mJrJLsiqhySu8Ki+y9MY+NtEIw1bQCgVt49/TQKpIE7mwJ36gCzz3mnXBYW2T/dWCCrGKXBjHLaDJMZu2J5mnKv3W9uLIvQ04UvfcepKpXOMvJM0kJfsdFwt9p7pWCgOdNLbUGzrpq4GOhpWh7LUfVuFpim2j25JI3V9Ayesooxne3mRSjbDWdhLfoNikIgAorwHC6bFIZaN/wMRiAQxgzEYgdhydb/TVKLNeun71FUS63QiThsPY+N9wI6nAxWNY+S0rz1zuOeBvgmOaHSSJQvzVa3v5k47/VyKBSl0mL1hKSJasZJHbfO0nYHkc+GUluKOazYEIcFIYA3IAYOTFen7yiiUw074P1GxoKqXWDz1FLdDsxkISgM62v3OduslFG0zKxjIHEgD1IOpbl/xglEEwlRHEokx1SwkfBqkWughjMnUL6JTSU3GgFNTmA82qTIM11RQUk2WLqsDOcLXALhwKD3iSGMbJhFMwmwfHbjKSym9jBiygTTGIFMxjFPSoEDVWMm/t2ci3+ASBOPcLh8ySGHUZkol8x6NsNzJi6GDiPCwa6gVDu9p5McMErjnKTSLrHxKKU0oFONNYFVZJBmkXpUcS4I3zqEgMuoEEFYOnRTmr4FQXFAAcLA6W/4PfIsaShb1LBThje6KAXiSEAM5rT034puH3UQ2oEERREtHnKU7prIHcsFh9VArPK+YUgkSnJjSwDFqfcxzCg4tG8xJK0J2HHWcRwxz70sf+CqbQlKyWRzT9VIBAV3FMMjVjJmVzCFCs1JBoOFQgSvTc7JeoxleUsnxQR0qeJnsRDzzNJAGBwvevNKgw42EJNtvDIYbymTTEIQ/PgeEOEFWxFYlCBDAwkG+jZKl3u8VpFwykvDaZsVkhtlWdupzt2fUWkwYGn6K6VIDA+bDZjbNV/xCCt6PinjLSpDQwY0xUz/s6XeVtBWO20wx5yhJR9Sapcu1lUIUZkZn9cJkpqUxLAvSqgg4TeDa4zlta0SRLQEsPnFOkgkoAxLMGBKk/6NwY0rACoF4mdRIjqMqNS5mx92dS8LNildJJEfwawjEnu9pfLCPQ/IVIBYv0HP4H/jKsRUdHrTrAYFawFx2gmgSNxioRKi0zUS028nV0hYjvLxO+oIYrBZQ4Zy77KCTqCHKsKsJtDR/XCQf8ZAz2U2ZpWjRAHzOsRMeApreAQ4z4BwKWK7mMn+7gSI5qNCGclx7XPetZyfN0JI4KruKdGdX+ce+wwJIRY7CAWDYXxSuommZXHgnF5g7QifL2yhTz1FyNw5ZT4fEMUV+K1gjjYqEBidD4fkokg9XsulX67qIDC2MY1dixBpGo1HptMqCTGY1GDjJIMZrBoFXSl+1xpABzPGEVPlvE+YrxjEdXvADd+XAoJctyBeJTIIwbzRyWXYhRnGUcEYTGUp+xkNtM4/8pnhsGZpRxii1L0cRAUM9iGrGc0VxDJqQQ0UwmyZMkxuc1UdvGb3bxmqUp5yzlOoo8H0r0+F3ducs20ppXKMlv19545lJAyYjwhjcUIBiugVGveG9DWaGxVJE2GqFOojMONuiQHcPV6TaLrKx+OGMMIK3GyOatszs1jmN60spEKLIYEjCoOknCM1cmmSQTwkI4BKJmkUpWdJKw78hXdhQP6ZZM075D3kcpym81uiEBjOdIaMAA6LKR1TjeqAbBMttnnmPOAsWhp0K1KWYJeyUx5c16JCyfZt5O4/BYNjHESjppaEMO0++IFqW4oVYRSRkw3ANgN6BZc5BcHjRos2P/9zgg3nMMOdsaEy7zbd9ACljAs44ZokRM9Cp5ztRIDGkBESHQwTvR9wC86jn0h59zHWC6qCNXBKZicXrXFh8X8qmEV2E6CE7pX3eA/f11B6LgTgJ8XnUPNRQiPwiADpUn4mfMt5Hw5PEntoDp5ryqYwbjovANF+z/LpJYYDDBSzA1QOnpd1c8cdHaJZGIyqukL5D3z+NsVTWMHwTwos7KFgAb4noeEkVcGxPb7jPU++jN9Lu/uFUVKSzaNWA3mJMFXUMYJh62STae265V9tOYgv39I8NuC2YRUviF+DhGYnqt8mcWPP2te/pSdcr+tx61nJCnaV+S8j2U6ZnNy+v7/5rTdIM2IARP1nHKBlheDYYCxwgAwEJJ/W5d9NPkgC2SIxWX24YWoUiQnBhj7oF0xdUPBUUNDg2CLEVPHtDfgEW2yAXg+9R8xhQMw0BWSkFIXEwYsNUMFskaZ4A7K0GCMkAbyJiOMER4egU2NFxUPggP9BzL7oycIFgO05z710zmsUneoAx5ZFVPQQoInRRyMYG3EMA/00C9ctUb0AGxt0ioqcgPdQSkt2IL1YB9NFkkxcHuvElY3EkgqoiA1cSCtEgafBB6YxFWWxVPYwUYaw0Yw4Cb6IBBzSIeMICBsNAxscRi3Nl8UV4XLcRCBKDNmMYjoc19V4zeQAiXpxBI0/3FhjJFi97E/KoVb0BJQQMNV1hQGwzBgXDUMPaQPbEEPpIgikTElbEEMSQgAetgLcxgDa2R0MZAGYAQmabF/yHKLoqWLtngUMbgQC5N5MqYVRSRlaheDNOE3xOB9OddwF5NC0hVZuSQG0OAnT/UvxOAfhUIqIwMDazQMcwgV4kgP+lAg+zRqxBCOtaYM7RAAevgS7/UaQzIJNeFDjUIzMXAu9OhD5xKMT7JUPgSQVcgy8ARZ1uc78PUqOGhJ0fZJZgR2JggAkmBqNrhg7UCO9UCKoriRpEiHQFSH1uZxpDgP6egvBiUV4HEkA/kRaecx0FE8XucY+lMScbgCYNQV1//HOUCYjJYEAAKyRsTQDojVC/mkDPRQD3VoTQIRdFChD3OoD0hpTWIwDEaZhKT4XgVDRmmAeSuZGgJpGQLZkgOhDJqAgEujdU2WE+2zdOp0T2EFPT0iFVuQhyDYDsMgCU35SPu0DP4DlXPIHvQwCWwxMpLARvvQhIGJWDbhGo2ABo3wBonCgpIXJV8ZeQ9hmRVhiNmESmI5EPpAMKfFEq5Vg7gGN5UxdTG1HL4jFI1wl/9DD34xJWODJhE1hwlUNfWAWIeJhCTxXnLmL+8hED4Tgw2Ef8WVELhYEcUnmbeDiJ2WBmgATyvwJymRS1HHGCN1VYrVYJ1YmGyUhqroDlP/Eo5PeZj7RBDl6ZlIIglm5w7J0A76AGzvMStxEXRM8RH2CRTJSE9mIitxBEfNM0jf4R25JF8NkhVhMC1TiQaMMAziKWHkoZFRSYcUep5JWaG+Bx3KIIoR2oTFw0hc2ZUcQjCuMi/VwzlNFlw8Ezx/RTwIFUmZ0AiFSQ/tEEliQA/u0JHlmZ9sQaF1WJ70sAVNKZ7u4JQU+J8xwJwi+hMlxxKlFX8pxB/Fo1oCZV77UITjSQw3SR7DwIpKSYdSQiUFcaH7AFHctA/J0IQ7QRsS9yD7UJay04sPYSX1t6TABwC5cW8wAQAzYZpkcnLu2KRRIQYe9yK9kKVgdAOk6EZx//GjlgEDk7E95/ml57kmIZqjXfogcyExqiEJ0bBMYFJ8CLECaeGPdsoUcKSilZGqVuQ8UUeo0kIMKuVIw3CRo2YgVUmOPooQF5qeieI/+5Sm9CAJmGRNqhGX03Kmp+oQnflKUao546YS22ITqWORKdWaergPbpRqeqijY4qhDTF0A0GjY5EhgWGs3wEDJjgbx7eSmMkZlZNx0AF+ATVWeJqCzxoDFNiGDpqNQzkMGUkP0iMow8oWemkQtUaHx/d7IIkG56KHfaIxhiWchyEWC+NP8ZmhllOZlDd5F9F8yBevyiJ7xrN9jvUXEGUS3vEkCXqYhhkVCxYlzxUGajoZF7M1m77npTgrEJIQBioQF5zYpTPSKUvJp5HhJEuIJJRys/knELj4f8lJEfmJPi+GNjC1VwKqorVRE3jooKQiGw7qlIEZc3EBjgIRDY46ECzIgvrQYKiGagZyqGykKD06qathGPGVJ6/xGhrzeKK6lANhn1MrEg9SE1+JLtCpbeqUkyfBGKezBS9ll7IaUw4qjgvjGOI4EbZJKj57NzDQNw3qtRvDUdEBPHJlbYXyEoERGNdEqf/LyhRvMlHYuRgqERbMQ6iCuagyNZX6BJVrAkZxwRZkOrxLKYpX2rnsZ4PkKILtMAlkirCZUCugtyK/9HbIISguoaQbYYj/5X9mcU5jKRZ10UV+Gjcp4nkAEA3K0KAD1q8qYACcuByNqlqBAQDpOIpG6ZHjOq6S4BgG1b69ZQD0MA9/Sxc04VD1EBhs4VYjkhZ1mouMcxGR4UO/iBDCESVW0yeOsltQdX0lpLJfsWANWiNHuCbQxEY/+5exGRlrNBVtNCXsUYdNaayMwGGYsDBOYhU3qgwi6BCZ0KemMpb1EA3gqhmlKmOkWowi2hTZooA5mWGOAQPtE4dsRIriuUz/LNK7KXMfkkB7F6YCYNw3RWqemSuK7icJroiejECHpHijDkEVuFLBrzuT3YuwZBRgjrWWTqw5sOKgF5mmnxQGFymKyyh1y7M8KgADzLMFjMyJ5lmp9cAInHiohamKbayKougO7FnAUWIoMdGu7QbKGzuZ/PESCVEPKBV40LgcYAE3WJRI+spGeCme3Alsd9l5uNQdAPC5W5DIYXCH7AkVMQuVmHCH3dlS0NGzE2mUySAVsukxbrUxq1tCjWAofRHNHMsRfpYQ3Pt8oBJ9BUGPMkIbJiGJfwUq9LUTtVojeqhPU5aNjnVhMSUUWMoYhRkXCRsvlxEtH+IOqnnI8aeH/4dxJcUZuMXgF6IFrFHrtMdJEZxsGYGbSksBdGizGnmnIjcCX96BcFwkFu0AbKTYzDI1HbS6YKQiIIS6CGKwCGjMC67YL4cZvPQAA70gDEXYC1I4PH3DgXM5XkWorJVyHgMhIZ7sE1GCLgeRwGcXbfy5EC4BJ1s3UjeCnafneWXFnhdpxQVCqsPACwu2qAKCWCod1nephy/7lALLC1XRxVKnAltgIICnhz9Nhc42ITAhx697mb0zu+4zQN4xND3CCBeZ1cP6O0apigJBHlUhBm8dBoXZC96JlD0qjrA6DL38vo5hLv3iDvPQiTIhHYjDLJOwDBNiyuymQeB7EamtQf+RobhIsz8pwjMKAkbemK0cekMjI5Fs1HtbcZju4A5eQYqXMRm9N9RwGH8rUDRtDEaHqk/Z2AjF98DGIiGGIZgQHKcPId14TcFF1NAQMcFPIiZ+UaJDUzRx0yxQdx+IVLmHSYqWRKrLAUC7vL7UODLC8B1QMdwp40pJSAy0gaCkbdmWxEb69AmxRAwJnC7RCSaaAA2a8DuVZ79qYYzAuAJyWoXKkCcIUr4ncQPcQa35pIeiOA/iaVDOC2yGXBJgrAWL0KAMcdbDEHOKTEA5GpgC0ZgEYtoKMRXLMBUP3YJblxsPQSqzkSA48X6OZEa5nEtAKAmDTIpJOAlvvQWMAMb/zPNvYtALhCogvVC3HBW8Acul31ikcwisSCITWzm4BFEPpe1Pu/EcEeEZppx2lRlKFfN9S3iXABWHW0uoPJwJGimeZhRT2Zl6XCUgWyEgdegZ5zquPXopbFRrXIPYlkEJjkkokEc1lDcGE9JfDMUsHosmogqyDQGyaNZcmhla4JIYO+EUeSgQVb7GH0gSeBnf+qBP0NDLOknbfWtwXVoZR1s1RTyWEj6ADT0JBGK0bAYmSgIlvdBfC50XYiLd63bUEIFA7BGAY4kQpJ0J8gQAOHCVodvVa0SGw8HZuToMvcAID8mgb+3MblSY4kk1v5Iuz1spvjIQw4BNd70aY0Eh/wg0lkTdX0rt1Eht7SIBgdtdEMGmNCoQBvWQDJ3IRrZ8l1WuTBoJ5V1Ne6BLE5gUE9ExMhHaEM+LL0C0DPUwOA8eExSiEMRACQuf1y9OzuC+D73QCDbtikGJo+5XdyJOjjjaDr0gU7usyId8N8887OgpEenIMlCB7KzRCCpoEIZyuO2x2t/r3YTY3QvBHsGUIJ9oGYwQn6x4l/5LR+fpFRN/pYS6E17OELbppSVvW891GYgTBgdACRliGcowBnFRQp/2FxISURfewBEsM1ZvfJtywTnLEIwP3k4tAyqlr0y4vqto0qhXhFDptEHriiZIj+GuuQaXKTJW7PZhKJPxHP9/HxPp0UP2sQ/FEBlfSfiILxCTkFq1f6rrdSYWT5eo6J4cGABNSLMEYZfLoSYU0atQ/uIZZ82BCxPQkQaVheAC4SvU/7qjM50OHSTaCmyQDdngCOWMrRV6OJGeKehvbd1v7xBAyslU6TEllNSJMUMWAvI/jp9fCQ1UM+eg0ugAsU+gQGLKBh5URiyTmEz76D0Uw0jSsF7DHrqTJCbGpGGZJArUR0/ZsBVixEjKREwgPU0DEx6EqW+fTHoOldGrB1NnQ4EJiWkapnNgJmXLFE5SNimNGJXLYBKD1lOlUKpVhaIBIHRSVoEAbuwDEBaAGLAxhAIwqzPsvhhkH+oLa3H/q8Gg+tpuGStJUk6HwwBwXLF2n9+gYLlanelQYCaZiAXGAEDsZ9W/j7P+rKx2ksAbhx1/hmlQ6NR9ynKK9VqaqjLRoQWGYbiv3jC9FCVN0qeP2LBJMWCEIUZvWIzGpTNJYiQGNj2ZpFlXlakvZ03pe60O4wtNWSZNrXWS1l6amBinOlvX8w5a/foY7Teu15kGjaRlISdVlFRxpjvaK1aEeWgY4FqjZxI0JjFpGIOKQ6wx6UKaqZeoqppkQoHSMG29ehRKDz4PPwTRKmIkiUymYXg7kZeVaANAhTDqScYdZcKQ5KCI9smIEcnWc7CeByfhiyrSZBujQ8SioYcSI0Ok/yqTwwBAg8mBxloMACQ1aW+ShcZKgxgDyAovBi4Moge/vwojBi3ILGIrLWUio4cYGAKoTbF9bviqtMjMK7GmwfaBZs+YAChMI9EA4Omz8oKcMtHPMtPqyc2kZCvKfZxEj5gYbphEkzRUSGMSYgIgC72yMkHvREYAmKg5tFQ4YBiZVMgzTbpiCCMTLe3kIs83vZPpzaBEGgk9ADpcRlAxYBAo2SEdoycaRrty1DFEKQUxIaSW7Cmh7VoMK7h9JpEEjYqCGwaG/+xsT4ziZqupHuQkWdAxB+cpcyLEvIsmRE2I6RdbgauKwYD2oqyvvIA/yySN9gKgVYxh4xRQOI3EYP/Oxy3aY1SlmuJkZJhndQpptxNPvK1BRqddryCWBx7IOSOfM88g1MgybUGZr0MwBlhVaEu0kdwlJoy2UM2tkTCO3WcqPz/mtLCDnh1pmJArus+qeuhhrGULp16GZWKyI62g0V4WSIwnyVIrT5jQMiwstgfaasq0EIMMMrQkodokyAxyB1AAhGMaJr/CYMQ7YQcSTpKlQy7MHQandrJaqwKdVKgOobRsyswP4ryq1mgO7eVDxXJboGh2NumG9g6AAfYANm3P9XYzKg4aRiRSJrrd/iIKJj+Lqrq1lmDysaA4H/JTc5HhG7mnl0kzlaCvY4aZKvdisNQqZQoGur0V2oP/oV3b24MNYz/dQUOMSaVLCgBGLE9P5N7tZZ7b0pqnFODs//9QJnAlg8LpRCMtQp/ETnITZTCCRgchXFt0wj/GEWNyIKIgpW4CQKtkxklTstQH8cY2v0ztAGgI3mPmVprtLCMT/4EMR4bTlowAoDjEcFGNJmirx4RBKK7bl7JiUJM3TUUjIBFio9LGLNUNRAwGuMqTeIIVJT4qhJKqkrUspQnPZCIMojrIAVbYk9KowCSEOtHt1DY6GMhgjCD5VdrM4iMbpY4qhcMBDKYCAFCkDYrU8uOUpoKGAFxlBZGqYt0AyUH16GMZ3FuPRwygrxNVZBhi2IIOV9QuRnbSk53c/173QoMUtFElVW+pR/J68cVJACg67hADFzQ5MJFQpH3C+2Qun+KSIO3sZvsLTQprVhWcOOhSGTmRCsTVNNjQyyXA6pZjoBKnkWRklsM4XtNWs83RwEd/HqJiV/IUzrLEjUpwU4tn7GaelaRTLgD4ouqQA5k9qrMr9jyIO5x0ki0YhBGTMwBX3mS5ZH3Oc2cRpbXeGKINxcxCZYvKL0mHkJmlZ0MPAYmNalRLiUwCIgcaXUW/cxy+JeNkHlXN1EgXvT8JxXIEgZ4uheKe0GErE9FiUEgyUZiQ0EYS8xjR/ODjyFoiR2I44Q+bdCI1mTbVqa7pkXQsEh2C8EYvt3kphf8c6BsAbOEkCsogTLL6VBCJUKyHWUFCH6PWSvVvIMURydQIxR/0RGSNfBKNGHyFpJG0xyHuAAAmlimQQHnsiF1hqlAOC5axCkSRMHnstdQy1scexKw1Bd1CqRQiYpEMo4khjHAcQqO7hqZwfg2NX3Xzl2Twrx5Mi4bRelJAqjxRkIixrU7IKdm3NZas+9qpO6gzEzpm9CD6qAtHdsOLYbTDQ8cJzgUREtbfVrdNrmMraOqhKwTxRDrHBS9xiZi4WnZEZNQVikgwlpjVsNS6AFScS+4pN+9xSxntWwgjWOi7xtCsOCVzZYBqo6DqyYZbYbjJMknnrX0sQ6T7eiY3tdv/GveqB527NcsvKXO3p+BADC3ZFQAOeanCCca4YZklPQDLKgeWGJ8DuSQAjieYxe0DBviEjLUmlWOd8Bg0nQGhlMy2mJjZDHUiSo8y3Nc+GdwgIkERGU0S9Zz/Nu1ES+UILyYBA450VnTJwE00HTuhl5inwtYjbPTKDJo1o8qTeYMUaIhxAw9rJAYBSEl0+Fdl9tLEgm/dH294cZKK+KiUXp7gexVt06W0R8QBgBPzHBISqhrzaeyNiXBUFYYtlC/MVXHzUtG7aNCY1bKHgSSlUq2pTRVJE2IQo0G2thI/GRokQZKJk8NbQVa1siBe1chN96HXgaDHIMSOE21Vp2wD/7pNUGjg8B2nGG3H/tExph7K2rC1WSfNDmcXs8mlqVPcSj/GLNKd7UQY8ZAYdFp+jInBiKVyp0OORFBvO7PaqqhvxEiWnAf5N6lnKgMEiSENS4H0EJmD0bc8JCeTk3S5qWrlSzqQ0z5rEUOcC5ICySixAreu67DL5jqLAQ1jMEnKxYADMDJcMRB6+cKx813ZTE4f/BGGR5SzgvJtYQtfPJHyejdqkK9ndAixsFhwJuF9LsUkJz9Q+9K6UdZ87GN9NrSsHr7rAO0mI2FQgc9x5T6RSQInslnN0Y0u4fBkyyr8Lue4XnwWpcf9bWZJw9JMkoawoLwhS+E7WghnweZ9VmYfoplqzS9dnMLQZlVtYeJss5nSg/B4oOuJc5DZMneFWiVR3IGGrm6gEFAQAxTKuN6U6j7kp/SuPR5eiodPHiqDr3zljNASwyFkdeqAddJ0vLp0lncyxIVMrAhhiOJI49udNMklZ/b/vHpYk5Q3ZKL6mcA+UTIEEzgv9CD1wNJGUN6+MbRv7yrXqxhugsqGZywkwiG8YoabGE0nVSLCrgo0YsCdomcPGsTABJN7g+ubhDdAAzSAPs3BijGQj9qTDwZMuTRgwKVoBDEoiUnJGOahjpqwiI+Jqpr7q5OxiG/arva5gW/qP5fCJ0eKhu24lDTIBKzAvuxqq6bxjPEwCVIxuPExic0APKBZigpJOQliuM8ajGGRDhzwIT0hk5k4GWXBgarYLpw5NjtCDGi7rX3Awq6InhXgid7QirvhLZ2orAnqo/siBhlcCMpgGxEyCCVDAxzgksdbioYwuTFAC5OwQ0cjDuaY/7Th2ql2Kp+ZSBOVkInZwIjToraDwITN2JEbkLfPgDvJmsSXokR82i3mKzXsA4XuQKFSGwsPQ7lJKL9S1BXAE4MxMJClQLlUBLetEYlY5MATuTri0rNJO5nAAQ1N4A48ScFOKgpMyD5exJNNMahmGY5SNL9UbB9RWYZXc0BXZMWT85vgWD8NJIZkiK6P8ZGr+5iTwT9ouS9JwJBf/JAlSQ9dyT4nqbv0UIiSc0Xycx8HK5pRPD/0ax9CCY6HuEZlaIebKqZuLKaF04d22I3MqQ9uggYZwD5nWo9okS/N+Qy1YyfQSA21WES0iIZfQqfHuAE8PICD6wxXvBAE4ZJGCP8LBJFDkhy21Hi/ldAHJ6kLmFyJWWsa3GsnEwMdgYISLEFB7pOiszhGmACyrmCrzZImI2E9yyqIX0qh7RDF9EG5j8SvNGiEk4sBwJM9lMMBD2M5ruQCHGgEgGSeojkv+fNAYtmqvRMPzSENLckEHPhJhPi8l8mE1AumobBLT3oTtEBKgki5UrzDCmzFOzw5SRgDxHRF9PNKMSCgL5JFkZgIWSlChjsRMQiAFTgACWIzXUGDiTLHp4oGJ1FGwUTFgytMZXQ6V8QBrgzMwICT9TuZIny/h0iO8JGB2cmEhUEMScCBTMCENAhNz7ub97gUedu/xVhEotwMR6u9LDmjZkT/izoctvLjwTFYyRyMAeyUAYORgSFyCMKZH3pQDod4uL4CmvFBCxxYgeb5niXhxUwAoq7IK2f7pi20Ci90rOLURMjSNhKbkjbkvK7IMLkxuBaJvbFgQBFDzM1AEDw0gKkEAFE0UMgIyxUwiILwC9zThwNYgZfcmuEYi3gDABmQQ+e4t2ASoKBsySqqCrijDJ6YxKH8LS4yOKeLgTpLzPIzuKssxZJbzVYUxZUzURONgdwMC+FSBl6YiIVbP90IgxPpjTtzzBVguYkkhk+Qj+H0JCfDk81IP/OjRsfEgXaJR5QL0sD0SuxcORyQARnYgu+U03hri3/shZ3aRw2kkZ2y/8D2cKMDkIHOvCUupQq8hA+OXAFWLDgcHZ86k8AxjT3bSzkc4IKVq9QjzVE5XTnIgIGqCZlYrLqisSSNCIAmw8wYKA/ECD2TMyXHWJJSghkYvaOMLNCw+BIEjQ2nS5s0aIkAmJ20ydVU7DvHLFHH3IdoaI8xGLY7E4jZUVarEgiLCK0ldAdyAYDMDFSwSEArHIiA0jGEwpv/XI/QuzYjCR7UKImu3LuFMAlPMYkxEKB2cdNUXAgPuwE38rAcdcxUPFJO+c7t1IjvdBgxOBcFoQ1lcAfIkVK0CADYGwvfWgZOeakdQQxhsixYNY6hmMv/QQ19fdd3HdPCXLnACICPlP9UxjQJN/3X7yzVI93MOYUYLRGGoHuIZLgNEbyzFfjOMjVRx5A9Qs0lJVvNk3067qRUDyMgb2tNN/WwGbDUf23Z3HwdncXUf5UfGRoG4eIPLTuZRnidI8VMULEKfXAy4QRasYrEoShOGjUPOwM8fWhFo/Awj7I9tNjZethXyUDaEmVPTQg/HNAHGUCAFeDFGEAAyNjMFSgIRqgIFbgpsLIkhvVCYnBTSLQc/VMJ9WuNGBCNSXCbA0jAgUjOHpsKAXKp5SRDfIos7zMPPARYO1y50li5zTjaFinTRtgHpC0NNyIgSj2ApilVsmDZ0pidwPhXJJGYragIXZyIrRifADD/iLYgIPphmhN0CckqSrjoz0XqrbTBJ1mVKSXjUZTDVzJNxaPdV6TFgdm5M7CtszBgWUw9gMxM3KiVUw/10LbQNE3rBUtyoMzUWabVScgykLMFoPQrufFLWZUTWUp90xztlQdWWSJ1U0w90vFJ3M003Bjw0DltjyrYgp3KWpM6KUawUkul1HhTP52IBpTY3oPw3PTzUhmm4RnWNYFDDQBYCmrkyvIVxTor03t9U8e817AE21iq4A2WgQNggQ1mgfxd4g3G1MDgm1ykiIrIBBhY4CI9gBQdCBgMXaLM4TEmY9QQGPDVwicZJ3vq2MDDTthNWn4NRbUZUTD9ToH4TrIg/9KweBg10RsqHbYVKKR9mJ0u1t+waBz5uSSBoFq7ZbaWmq3+pOMypmSx2DzNM7qXSoqhmIpNHginQA0YGAOP/bCUdV+NqDM5NdFMKFKVNNFJ4Nl4i2LNfGJBflmHOVx+fRgevA1NEwNM6IVJSA4LbrKGfaN0xFgnquRlzgoXdKyNHZjVEovt5OFJXeCVc02krdqARd85feAn/lr2nZ3Z+c7NHFz8XQEVACtiaIdKGg4VUGUxgYy0lZLOYGZKJtT2YUWNCMuU7WcZ+OcirWAT/Wf8XdkYqOUAGNz2LVVBhtpdBpB5uIlhwIRh2Bhy9lPMHAtofjszdgyssGQuxc5QdP9dIlUBpN0ON8obLogBhVDpUi1ThZgdBACAzQwAXtRMGVAGluWOnN7p2UELGYqB/MDi9VSy7+Tj7mhpgRhUq1jqg7DnAa4tj6680uXP3zqglLtWk+hdY91pYs3U3S1TeHpTPUHq53UIX9Xj+a0JDyWLMoU0tDgRVqGNriiJYTuA9U1JLtrNS+63apnkAfXekAYdGcUisnLFVmy0VCZS20PaOT1agubZMr2z+hVnX403zJ7fzBxnSHOjqjGqR5udJj5Scl6JVHWKaakHaflktItqwW5JwmaS9KNtJ6vtlE0fJVw52PAw3naUBfZKIwboed1XN7K9TG0ygC7SI1XZh+H/YA7WTDrdzA5+bnRm30m4D3XTzPGJYnBGC2JwsGWgBwdDj3qAhtXOifpY7fGWjqgIbMuy7RV6b0q55/pGjSVMGx0tuZ3lXeAOSyPl3RyV3pWL0woeZ4Ze4pye2qk15LCYH3LpBUZQAcyW5ZcNi+6IFtZADweruYQZ72j58H7RG52c78GW6g+x7xSX766OwmWoYK8o6314UzumY0y127Q40ihZuUHWzLcW5GZFAD0G6msV5LzwC6+ATYX+4yLfjGVQAStJCCgxip5wsMoQDbyl6tgmcTMuShBJcfuW7zJNOey+gV7RWceUQGxeCDdqVJYt0qXY2UmQ05Mj595w61HW/1mHge7NvtZ2WwjYIFnxoV8O/ouCaBiRSMOCKIrxZg3NFW8keW2ozvL3Vggm+fL6jkInsmakJdIjjeDiVt+BTmJVJvV42+wDn9/nju7ovrPMDIteyA8LhJUVONwER2oU8hZvCe/pU/QGIxbTkEPZLnEth21rEQsafJS6GwgPy4GUM1EUfr2dRWHe/W/3eOCdxdRYlgGSBVRB5uAnnh0BaPU7CwtXvw1JIHfnNlxBjusGy/WCgHfikQzWePR6iHTHGPYQ0TAvFwv8HjY5DEsckAw3ugFyDgBsOlIC2lcDsNLPruDC/eyA5Y7X+x5fxWlS2WkPxT6fTvcYmCHKfV721f9pyFgG5aBHFiqKpjGbqhuDr8AL2a4KkD5x7WEp1EB2Y6cvJ4IMrt5dYh1eZbBSyChSudnOZTWLZRgfZa3g3XUjtoA04s3RQC6kZcjMKIQMSFMmMRm2UuXjhs3dYwkMBjMK0YB38dC/rLh33MryfsuufUdxsch0gUA513xT9DVwkXfMtlDfcc9NWidmqU3ulr3WEs3s6BYxm/ZVSPPVnulzcSZRb8sEB2ONf/GW7qB31gBv6SAgmJ9qzn/7sBAl9BN9PdzJnM9vFHZs4XYPcd/Z/y5Sb7b2hC/TgRZwltVsDs7NBN9zkvXjPvfQwyVnDI73gkiG7hj+XE+I2LL50Vf/OTQIKM/3ELe/5xW6bxsB4uIu7iMV96pdbsfcgoF+WTm9V+6v2hfHbKltX4Ym97j21WtlYlPfdptGlMkv/oQABQUpPV7v9RG/9GIHiH0CBxLcB+AgADQEETJsCEDMQoQQB4qRAQAHFzEHK2baJyNGjH3LAsRIs6+ixosfAYAMIJDkAZYyUuKIMeZkDIsAAlw8GUDnARkrdsbgiTCkmAAu98EkilAZMWX7lGkaJnCYskwJlSmLAWAfDodix3698VVgQoFmC7JFKzEi2Y1wew4cc2OFGBxicuLQqynngUliDqyIkalizRhcZOAgKTTN4I8rPn4EyXgSDhmViwZAU1lp/1GvhI0aRRNjxQExYwiHHhoDB1dNUJPJphpVTO1JCrfE7f1V2aSBk6RODd62IEOFA30/nDtRoN7oecVwwcg4J+qPQXMifs03BmvKrylrzml5PI6hO0meJuyepFGEAQ6EBq99qJhJxDLtJ1YVVFRQcRXgMvWYxdxYxyl4HEPPGeSbgwyFQRBKGFl4YUXgFZaTZjV9VFFlM80HU4gf3UCeDDewcB5QKyAA0gEBrADfTgzBJyNnqBkFTYBUCZiJj1H1SFA9Cxp55ILJzUWWcm7JRZEMAUxHUoaT1aTJJC96BeJ+HypTHpaTeVWZJpmsaNGJMZT5EQ7EcEbUT12RxNAKcv+ukIkmjimTHk8BUJWJYViJcQMxUU1V2z7EiGQYV4IVJJVpyyhT5JGHDUQog28tB+FcOBA0hleZaRRAX16dKMNU5rFUU6oymLTXUvMNFZRLy3gnk0v1EAZRekeR5FN8ABwArFTzoZqUVwAUqklCUXkFzTCaTAWVQMosQw8AadRj61kDQVNPWFMtg6RGyzWJHELnMhehptCJ8a5e78pQHUocMjbTvfaelll69IkHUnYcmlfURwiwF+WNoPXZ0I2ncQbeRkAKWJt/UBGTjICTRrMPPVwJdG009BSoDD3RKIokyk42t2lv7D4pEGL4Wnhvhx0ulll1bI4nnmbu8TwweQP/T0Zfn6EpzDB8odFntLDDLTuMfxdXrEmAUXUsqaTW6jPuMltzxRWlKRupJMtxubwyzHrR21d1WzDmdsw4bJFZDCCa5yHQp73oL4dpmrd3DCzEWDRPRR0UX+ECaOhzsgAMp0kyxABIm5AZE1gPyZNKJRU935J8rdgoN7jkWGff8OlQmY1xUGbBIbbRSoqF9VBJJ30kEGAsFfVS7DkdVBREg6nHUp88uYWUUi+t4OkYNGarKFVW7UO1VmJwFZOkxCQ0rlfTZitV92gptxZb5I+dLuliqdsuWOlNVxhKmYhaWGZs0s2hGJmUl0Ya5mW3AmRgNJn7UGYSoakRT2AgIyml/8RxMcFLGhwzibvo5CEdWdaAoIIbqOhGQGII0GG+9kGuZKJJaBhXooxTEGKoMEnsW5dzCJIRvcyEX/fiAnpkEIYb7uxn5MlMYegTsBItLmmgOciMYuQQGR1gNJwRnOGWh4aoQA6DGawaV7omKZFl8GuaQ2HoXHiQc4VxdANhGw01s8OcnCpmFdmhZtLEs3/V5Ccx0NKLNqMlIxqNJ6NBWsNksLQ/smYZ/aki1a5YOcxl0WJRq9znwihGtEmSIaeD0gGq06ZJMOaDr5PdmBKzghNZ7zqEORUA9ggAobQJB0GJUXa+9CalyCdbk0DaJPJEGKLoxCIBuAGQogKNKhoGQP/KMBlXDCMpA0KlI7YZl6EwtaBMXPJ8Y5Rk2RxUk4vgsFXBqQkXWIfDVb7mIB95le/I6ZWcGAV4J5nM76QEFhnFE3H6eNDhinJP9rCEaCxBSBr2I5BCaSWgxKGi45IJANtMJVr3tBa2OrKgch2JbNg0o0DopUkO0e1epbrXqWgWGvKEdDOOKcp2BqaUPg2OabU83GhkRRgEwFOmhYpWf4wppIoV6orRKxOeohZJbLaFITEQDBrEkNSlKrWpTF0qGjAKFk1Wh6qnyslirlMeHc7RO+WRYwwUl7T7zLQ9qBlK8WqENNQ47CfueVhh0oAnnPKncpWTTU+FVBWqEQMrUZGaFFEzhaDBeooi9YvZeFCSohQtho1bzVuJCtYSx4Tnju0JgApWuhO0Gu5wnuVjUc5KFPrgIJf+iZzkouUji2UlagDCKW1Wu7nAsmWwtnWQDDqSl5DQozyrSsleXKcZ1tUuQ7iLXZRe0k7FxZNXxjMIqXxyFqPOaZXRTcOMlOcpzA3DAAuVzVSi4l0ebe5iApHNMB4yqfDVIy37CLnfRW2LoAlRBDcgykT/EqOZEuHgLyk66/L8G5j+fYQ9AETDWUHzsJ8AaihjQINSAmO4d9noPWcFVIyUascxZAJAkBES5qIimOxN668exCt+ByKJg5IxdPJFUGEFstWanOlfj52ReWgZJbYKTkzsBM8CaTk4HS2MlmpFoFhWypmVomaztHwcVqgXJEhiMHtejErYaKvlLXO5y17+MpjDLOYxk7nMZj4zmtOs5jWzuc1ufjOc4yznOSMpIAA7'
*/


def dodge(a, b, alpha):
    return min(int(a * 255 / (256 - b * alpha)), 255)


def draw(dir_info, blur=25, alpha=1.0):
    base_dir = os.path.dirname(os.path.abspath(__file__))
    save_file_name = os.path.join(base_dir, 'final.png')
    img = Image.open(dir_info)
    img1 = img.convert('L')  # 图片转换灰色
    img2 = img1.copy()
    img2 = ImageOps.invert(img2)
    for i in range(blur):
        img2 = img2.filter(ImageFilter.BLUR)
    width, height = img1.size
    for x in range(width):
        for y in range(height):
            a = img1.getpixel((x, y))
            b = img2.getpixel((x, y))
        img1.putpixel((x, y), dodge(a, b, alpha))
    img1.save(save_file_name)
    img1.show()


class LoginPage(object):
    def __init__(self, master=None):
        self.root = master
        self.root.geometry('%dx%d' % (450, 250))
        self.page = Frame(self.root)
        self.Dir = StringVar()
        self.Port = StringVar()
        self.path = StringVar()
        self.dir_info = StringVar()
        self.create_page()

    def create_page(self):
        self.page.grid()
        with open('tmp.gif', 'wb+') as f:
            f.write(base64.b64decode(img_bs64))
        self.photo = PhotoImage(file='tmp.gif')
        os.remove('tmp.gif')
        Label(self.page, text='''

        公众号: 清风Python
        作者  : 王翔 
        时间  :2019-11-14
        工具  :Python 3. 7. 3 Tkinter        
        详情  : 图片转素描画工具''', justify=LEFT).grid(row=0, column=0, columnspan=2, rowspan=1, stick=NW)
        Label(self.page, text="图片路径").grid(row=3, column=0, sticky=W, pady=5)
        self.dir_info = Entry(self.page, textvariable=self.path)
        self.dir_info.grid(row=3, column=1, columnspan=1, padx=20)
        Button(self.root, text="选择路径", command=lambda: self.select_path()).grid(row=0, column=0, sticky=S, padx=20,
                                                                                pady=5)
        Label(self.page, image=self.photo).grid(row=0, column=2)
        Button(self.page, text='转换', command=self.login_check, width=10).grid(row=3, column=2, padx=10, pady=5)

    def select_path(self):
        path_ = askopenfilename(filetypes=[("file", "*.*")])
        self.path.set(path_)

    def login_check(self):
        img_dir = self.dir_info.get()
        if img_dir == "":
            showinfo(title='错误', massage='路径错误')
        else:
            draw(img_dir)


root = Tk()
root.title('素描画转化工具')
LoginPage(root)
root.mainloop()
本文参与 腾讯云自媒体分享计划,分享自微信公众号。
原始发表:2019-11-30,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 Python爬虫与数据挖掘 微信公众号,前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档