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Vision Service

Description

Installation

Option 1: Traditional Installation

  1. Clone the repository:
git clone ...
  1. Create a new Python environment (recommended):
python -m venv myenv
source myenv/bin/activate # For Linux or macOS
./myenv/Scripts/activate # For Windows
  1. Install the dependencies using pip:
pip install -r requirements.txt
  1. Set up the environment by creating an .env file with the required configuration variables.

  2. Start the application:

python main.py

Option 2: Docker Installation

  1. Build the Docker image from the Dockerfile:
docker build -t vision-service .
  1. Run the Docker container:
docker run -d --network host vision-service

Note: As this is a WebRTC application, running the Docker container with host networking mode is recommended for better performance and compatibility.

Usage

  1. Access the application by opening a web browser and navigating to the specified URL.

  2. Follow the on-screen instructions to establish a WebRTC connection and start video streaming.

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