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
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.
