Python作为一种跨平台的计算机程序设计语言,凭借其方便的安装和简洁的语法,被广泛应用于各个领域,且它的Tkinter工具包在可视化界面程序开发中也广受编程者的青睐。利用Python语言和Tkinter工具包设计身份证真伪验证系统,并结合SQLite...Python作为一种跨平台的计算机程序设计语言,凭借其方便的安装和简洁的语法,被广泛应用于各个领域,且它的Tkinter工具包在可视化界面程序开发中也广受编程者的青睐。利用Python语言和Tkinter工具包设计身份证真伪验证系统,并结合SQLite数据库进行数据操作,理解图形用户界面(Graphical User Interface,GUI)编程的逻辑思路,将代码以可视化的形式呈现,不受编程环境影响,从而实现人机交互。展开更多
为实现自动驾驶汽车能精准定位、检测且识别出车道线,提出一种基于自适应外接形参ROI(Region of Interest)的车道线搜寻检测算法。首先利用python GUI编程库Tkinter模块创建GUI界面,提供ROI形状选择及参数输入的外接窗口,适应不同需求...为实现自动驾驶汽车能精准定位、检测且识别出车道线,提出一种基于自适应外接形参ROI(Region of Interest)的车道线搜寻检测算法。首先利用python GUI编程库Tkinter模块创建GUI界面,提供ROI形状选择及参数输入的外接窗口,适应不同需求下进行车道线的定位、标注,无需反复更新源码,达到车道线自动“挖掘”的效果;其次以灰度直方图双峰值确定左右车道线的初始位置,利用自适应滑动窗口进行车道线的搜寻,依据统计所属车道线像素点的窗口覆盖率来更新、优化窗口参数。实验仿真证明,该算法不仅简化了程序,提高了车道线检测与识别的稳定性和准确性。展开更多
This paper presents the design and implementation of a Python-based conversion tool for Apple Live Photo files(.livp).The tool converts.livp files into standard image formats(JPEG/HEIC/PNG)by renaming them to.zip and ...This paper presents the design and implementation of a Python-based conversion tool for Apple Live Photo files(.livp).The tool converts.livp files into standard image formats(JPEG/HEIC/PNG)by renaming them to.zip and extracting the static images while optionally removing the embedded short video(.mov).It supports one-click batch processing of all.livp files within a folder.The software adopts a modular design,consisting of file renaming,batch decompression,temporary file cleaning,and a Tkinter-based graphical user interface(GUI).A multithreading mechanism ensures a smooth user experience without interface freezing.With a compact size of approximately 10.7 MB,the software is easy to deploy and suitable for users who need to batch-convert Live Photos into static images.This paper introduces the system design,key implementation details,performance analysis,and potential improvements,providing references for developing lightweight format conversion applications.展开更多
文摘Python作为一种跨平台的计算机程序设计语言,凭借其方便的安装和简洁的语法,被广泛应用于各个领域,且它的Tkinter工具包在可视化界面程序开发中也广受编程者的青睐。利用Python语言和Tkinter工具包设计身份证真伪验证系统,并结合SQLite数据库进行数据操作,理解图形用户界面(Graphical User Interface,GUI)编程的逻辑思路,将代码以可视化的形式呈现,不受编程环境影响,从而实现人机交互。
文摘为实现自动驾驶汽车能精准定位、检测且识别出车道线,提出一种基于自适应外接形参ROI(Region of Interest)的车道线搜寻检测算法。首先利用python GUI编程库Tkinter模块创建GUI界面,提供ROI形状选择及参数输入的外接窗口,适应不同需求下进行车道线的定位、标注,无需反复更新源码,达到车道线自动“挖掘”的效果;其次以灰度直方图双峰值确定左右车道线的初始位置,利用自适应滑动窗口进行车道线的搜寻,依据统计所属车道线像素点的窗口覆盖率来更新、优化窗口参数。实验仿真证明,该算法不仅简化了程序,提高了车道线检测与识别的稳定性和准确性。
基金The 2025 Beijing College Students’Innovation and Entrepreneurship Training Program(Project No.:S202510009001)。
文摘This paper presents the design and implementation of a Python-based conversion tool for Apple Live Photo files(.livp).The tool converts.livp files into standard image formats(JPEG/HEIC/PNG)by renaming them to.zip and extracting the static images while optionally removing the embedded short video(.mov).It supports one-click batch processing of all.livp files within a folder.The software adopts a modular design,consisting of file renaming,batch decompression,temporary file cleaning,and a Tkinter-based graphical user interface(GUI).A multithreading mechanism ensures a smooth user experience without interface freezing.With a compact size of approximately 10.7 MB,the software is easy to deploy and suitable for users who need to batch-convert Live Photos into static images.This paper introduces the system design,key implementation details,performance analysis,and potential improvements,providing references for developing lightweight format conversion applications.
