videosdk-live/videosdk-rtc-python-sdk-example

Video SDK for Python

At Video SDK, we’re building tools to help companies create world-class collaborative products with capabilities of live audio/videos, compose cloud recordings/RTMP/HLS, and interaction APIs.

Table of Contents

• Documentation
• Project Structure
• Getting Started
• Community

Documentation

For more detailed information, visit the Video SDK Documentation.

Structure

The repository is organized as follows:

• capture-image: Contains scripts for capturing images.

• face-detection-and-landmarks: Includes scripts for face detection and landmark identification.

• face-recognition: face recognition feature on participant stream. coming soon

• python-rtc: Basic Python RTC to join VideoSDK Meeting.

• transform-audio: audio transformation. coming soon

• transform-video: Contains scripts for video transformation.

• vision-ai: Contains vision AI related scripts.

Getting Started

To get started with the Video SDK Face Detection, follow these steps:

1. Clone the repository:

   git clone https://github.com/videosdk-live/videosdk-rtc-python-sdk-example.git

2. Change Directory:

   Let's run a example that detects the face from the stream. change the directory to face-detection-and-landmarks.

   cd videosdk-rtc-python-sdk-example/face-detection-and-landmarks

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

• Copy the example environment file:

  cp .env.example .env

• Update .env with your credentials and configurations.

5. Run a sample script:

• For example, to run the face detection script:

  python face_detection.py

Community

• Discord - Join the Video SDK community, ask questions, and share tips.
• Twitter - Follow us for updates, announcements, blog posts, and general tips.