# Guikunzhi/BeautifyFaceDemo

A simple demo of realtime face beautification based on GPUImage

Repository: https://github.com/Guikunzhi/BeautifyFaceDemo
Canonical: https://ross.abutalabs.com/products/beautifyfacedemo
Homepage: http://weibo.com/u/1988131695/home
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2016-11-02T05:26:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3780, "days_push": 3591, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2478, forks 487 (observed 2026-08-28T04:06:55.169373+00:00)

## What it is
An iOS demo app showing realtime face beautification using a custom GPUImageBeautifyFilter built on the GPUImage framework. It can be applied to live camera video or static images to smooth and enhance faces.

## Use cases
- beautify faces in a live camera feed on iOS
- apply skin-smoothing filters to photos
- build a selfie camera app with real-time filters
- learn GPUImage custom filter chains
- demo realtime video beautification with GPU shaders

## When to choose
- you need a reference implementation of GPUImage-based face beautification on iOS
- you want to learn how to compose custom GPUImage filters
- you're building an Objective-C iOS camera app with beauty filters

## When to avoid
- you need a maintained library with recent updates or Swift support
- you target Android or cross-platform
- you need modern ML-based face enhancement

## Facets
- artifact type: application
- maturity: abandoned
- function: image-processing, computer-vision, graphics
- domain: image-processing, mobile-development, computer-vision
- platform: -
- tags: gpuimage, face-beautification, realtime-video-filter, objective-c, demo, ios, mobile

## Member repositories
- Guikunzhi/BeautifyFaceDemo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.169373+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:28:16.961299+00:00, confidence not recorded.
  - readme: https://github.com/Guikunzhi/BeautifyFaceDemo (fetched 2026-08-28T04:06:55.169373+00:00, sha 17cadab3f789)
  - homepage: http://weibo.com/u/1988131695/home (fetched 2026-08-29T10:10:10.551884+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.