Wav2Lip-App

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 9)

No description available.

Wav2Lip-App Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<h1 align="center">🎤 Wav2Lip iOS Integration</h1>

Welcome to the Wav2Lip iOS Integration project! This initiative aims to integrate the Wav2Lip model into iOS applications, enabling real-time lip-syncing capabilities on Apple devices.

<h2>✨ Features</h2>

<ul>
 <li>Real-Time Lip-Syncing: Seamlessly synchronize lip movements with audio input in real-time.</li>
 <li>High Accuracy: Leverage the Wav2Lip model to achieve precise lip synchronization.</li>
 <li>iOS Compatibility: Optimize the model for efficient performance on iOS devices.</li>
</ul>

<h2>🛠️ Tech Stack</h2>

<ul>
 <li>Languages: Swift, Objective-C, Python</li>
 <li>Frameworks: CoreML, AVFoundation</li>
 <li>Machine Learning Models: Wav2Lip, ONNX</li>
 <li>Version Control: Git</li>
 <li>Development Environment: Xcode</li>
 <li>Dependency Management: CocoaPods, Swift Package Manager</li>
 <li>Testing Frameworks: XCTest</li>
 <li>Continuous Integration: GitHub Actions</li>
</ul>

<h2>🚀 Installation</h2>

To set up the Wav2Lip iOS Integration project locally:

<ol>
 <li>Clone the Repository:</li>
</ol>

<pre><code>git clone https://github.com/Ialzouby/Wav2LipiOS.git
</code></pre>

<ol start="2">
 <li>Navigate to the Project Directory:</li>
</ol>

<pre><code>cd Wav2LipiOS
</code></pre>

<ol start="3">
 <li>Open the Xcode Project:</li>
</ol>

Open the <code>Wav2Lip.xcodeproj</code> file in Xcode.

<ol start="4">
 <li>Install Dependencies:</li>
</ol>

Ensure that all necessary dependencies are installed. You may need to use CocoaPods or Swift Package Manager as required.

<ol start="5">
 <li>Build and Run the Application:</li>
</ol>

Select your target device or simulator and click the "Run" button in Xcode to build and run the application.

<h2>🔗 Acknowledgements</h2>

This project utilizes the Wav2Lip model, originally developed by Rudrabha Mukhopadhyay and collaborators. The model was converted to CoreML format using ONNX for integration into iOS applications. For more details, please refer to the original Wav2Lip repository:

Happy coding! 😊

Wav2Lip-App

Wav2Lip-App Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Wav2Lip-App

Wav2Lip-App Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README