HivisionIDPhotos is an open-source AI project designed to automatically generate professional ID photographs from ordinary portrait images. The system uses computer vision and machine learning models to detect faces, segment the subject from the background, and produce standardized identification photos suitable for official documents. It is designed as a lightweight tool that can perform inference offline and run efficiently on CPUs without requiring powerful GPUs. The software analyzes portrait images, performs background removal, aligns the face according to ID photo standards, and produces images in various official size formats. It also allows the generation of layout sheets such as six-inch photo arrangements for printing multiple ID photos on a single page. The project focuses on building a practical pipeline for automated ID photo production using AI-based segmentation and image processing techniques.

Features

  • AI-based portrait segmentation and background removal
  • Automatic generation of standard ID photo sizes
  • Offline inference capability with CPU-based execution
  • Batch layout generation for print-ready photo sheets
  • Face alignment to match identification photo requirements
  • Support for background replacement and image enhancement

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Categories

Machine Learning

License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2026-03-10