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DeepFaceLive: The Classic Real-Time Face Replacement Tool

General Introduction

DeepFaceLive is an open source real-time face replacement tool, mainly used for video calls and live streaming. Users can replace faces in camera or video, using pre-trained models to achieve high-quality face replacement effects. The tool supports a wide range of face models and allows users to train and import new models on their own.DeepFaceLive is suitable for a variety of scenarios such as entertainment, creative video production and privacy protection.

DeepFaceLive_Real-time Face Replacement Tool-1


 

 

Function List

  • Real-time Face Replacement: Real-time replacement of faces by camera or video.
  • Multiple pre-trained models: Provides multiple pre-trained face models for users to choose from.
  • Custom Model Training: Users can train and import new models by themselves.
  • Video Calls and Live Streaming: Supports the use of face replacement in video calls and live streaming.
  • Face Animation: You can control the animation of static face pictures.

 

 

Using Help

 

Installation process

  1. Download and unzip the DeepFaceLive installer.
  2. Ensure that DirectX12 and the latest video drivers are installed on your system.
  3. Run the unzipped folder in the main.py file to start the program.

 

Usage Process

  1. Select Model: After starting the program, select a pre-trained face model or import your own trained model.
  2. Camera Settings: Connect and select the camera to make sure it is working properly.
  3. face replacement: Select the area of the face to be replaced in the program interface and adjust the parameters to get the best result.
  4. Video Calls/Live Streaming: Real-time face replacement can be achieved by selecting DeepFaceLive as the video source in a video call or live streaming software.
  5. Face Animation: Select a static face image and animate it using camera or video control.

 

Detailed steps

  1. Download and Installation: Download the latest version of the DeepFaceLive installer from the GitHub page, unzip it and run it! main.py Documentation.
  2. Selecting and importing models: Select a pre-trained model in the program interface, or click the "Import Model" button to select a locally trained model file.
  3. Camera Settings: Click the "Camera Settings" button to select and test the camera to make sure it is working properly.
  4. Face Replacement Settings: Select the face area to be replaced in the program interface and adjust parameters such as brightness, contrast, etc. to get the best replacement effect.
  5. Video call/live setup: Open the video call or live streaming software and select DeepFaceLive as the video source in the video settings to realize real-time face replacement.
  6. Face animation settings: Select a static face image, animate it using the camera or video control, and adjust the parameters to get the best animation effect.

 

 

Project Address

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