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Faceswap — MarekKowalski

Faceswap — MarekKowalski is a Python desktop application that replaces the face seen by a camera with a face from a provided image by fitting and rendering a 3D face model, then blending it into the camera frame.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Faceswap — MarekKowalski — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to examine or build on a documented Python workflow for fitting a 3D face model to camera landmarks and blending the result into live footage.

Who it is for

  • People seeking a local camera-based 3D face-swapping application.
  • Students and developers studying facial landmarks, 3D face fitting, blendshapes and image blending.

Documented uses

  • Swap a camera-visible face with a face from a reference image.
  • Study or prototype landmark-based 3D face fitting and blending for live camera effects.
Before you choose

Requirements & limits

The code is licensed under MIT. The README identifies some project data as third-party material.

  • The application uses Python 3, installed dependencies and a separately downloaded 68-point landmark model.
  • The documented version uses Gauss–Newton fitting, blendshapes, rendering and alpha blending.
  • A separate Deep Alignment Network-based version is described as faster on GPU and as producing more stable and precise landmarks; it is not included in this repository's code.
  • The README says some data comes from third parties, so asset rights may differ from the code licence.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the documented FaceSwap application

Prepare the documented Python dependencies and landmark model, then start the application.

Before you start

  • Python 3
  • The project repository and its requirements.txt file
  • The 68-point face-landmark model file shape_predictor_68_face_landmarks.dat.bz2

Steps

  1. Install the additional libraries from the repository root with pip install -r requirements.txt.

  2. Download and unpack the face-landmark model into the main project directory.

  3. Start the application by running zad2.py.

Expected outcome

The documented application is started for camera-based face swapping using a provided face image.

Guide limitations

  • The README does not specify operating-system or hardware requirements.
  • Some project data is third-party material and is not covered necessarily by the code's MIT licence.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
MarekKowalski/FaceSwap · Official homepage title · retained in its source language
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