How to Install and use openface for Dinet Lip Sync ! Openface Toutrail

Introduction

This tutorial will guide you through the installation and usage of OpenFace for Dinet Lip Sync. OpenFace is a powerful toolkit for facial analysis and recognition, useful for tasks like lip synchronization with the Dinet model. By the end of this tutorial, you will be able to set up OpenFace and leverage its features for your projects.

Step 1: Download OpenFace

1. Visit the OpenFace GitHub repository: OpenFace GitHub.
2. Click on the “Code” button and select “Download ZIP” to get the latest version of the toolkit.
3. Extract the downloaded ZIP file to a preferred location on your computer.

Step 2: Install Required Dependencies

1. Ensure you have the following tools installed on your system:
   • Python 2.7 or higher
   • CMake
   • Visual Studio (for Windows users)
2. Open a command prompt or terminal.
3. Install the required Python packages using pip:

   pip install opencv-python dlib numpy
   

4. For Windows users, you may need to install additional dependencies as specified in the OpenFace documentation.

Step 3: Set Up Dinet GUI

1. Download the Dinet GUI portable version from the provided link: Dinet-GUI Portable Version.
2. Extract the Dinet GUI files to a suitable directory.
3. Launch the Dinet GUI application and configure it to use OpenFace.

Step 4: Configure OpenFace for Lip Sync

1. Open the Dinet GUI.
2. Navigate to the settings or configuration section.
3. Set the path to the OpenFace executable that you downloaded and extracted in Step 1.
4. Verify the configuration by running a test video to check if OpenFace integrates properly with Dinet.

Step 5: Using OpenFace for Lip Sync

1. Load your video file into the Dinet GUI.
2. Select the lip sync model you want to use within the application.
3. Start the lip synchronization process by clicking on the appropriate button.
4. Monitor the output and make adjustments as necessary for optimal results.

Conclusion

You have successfully installed and configured OpenFace for Dinet Lip Sync. With the toolkit set up, you can now explore different lip synchronization techniques and integrate facial analysis into your projects. For further exploration, consider experimenting with various video inputs and Dinet settings to refine your results.