matthewearl/faceswap
Python script to put facial features from one face onto another observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4053
- days_rel: n/a
- days_push: 3074
- n_releases_24m: 0
Adoption not part of the score
1421 stars · 491 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python script that swaps facial features from one image onto another using dlib facial landmark detection and OpenCV. It is the demo code behind the 'Switching Eds' blog post.
Use cases
- swap a face from one photo onto another
- detect facial landmarks in images
- learn how face swapping works with OpenCV
- experiment with dlib shape predictor models
- generate face-swapped images from two photos
When to choose
- you want a simple, readable script demonstrating face swapping with dlib and OpenCV
- you need a lightweight educational example of facial landmark detection
When to avoid
- you need a production-grade or actively maintained face swap tool
- you want deepfake-style video face swapping or GPU-accelerated results
- you need support, updates, or modern model architectures
Facets
application · maturity abandoned
image-processing computer-vision image-processing computer-vision python cross-platform face-swap facial-landmarks dlib opencv demo-code
1 source
- readme: https://github.com/matthewearl/faceswap · fetched 2026-08-28 · 21497637445c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| matthewearl/faceswap | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="matthewearl/faceswap")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem