HawkStream

HawkStream applies computer vision on camera streams, allowing users to visualize annotated streams and analyze data through a web app.

Features

• Visualizing the annotated stream
• Displaying data analysis charts
• Object detection alerts with captured images
• Capturing images of detected objects and storing them in the cloud
• Timelapse functionality

Serving the Stream

• Local Streaming (direct access on your machine)
• Webserver Streaming (access via a hosted web app)

Configuration

Hardware

• Camera connected via USB or streaming via RTSP.
• A computer with GPU support (for optimal performance).

Tech Stack

• Python
• Flask (for web application)
• YOLO (for object detection, running with PyTorch)
• Supervision (for object tracking)

Getting Started

1. Create a .env file
   Add your environment-specific variables, such as API keys, storage credentials, etc.

2. Set up a Python virtual environment

   python -m venv venv
   source venv/bin/activate  # For Unix/Mac
   venv\Scripts\activate     # For Windows
   

3. Install the required dependencies

   pip install -r requirements.txt
   

Additional Notes

• Make sure you have GPU drivers installed and properly configured to use YOLO with PyTorch.
• Set the necessary configuration for the camera in the .env file, such as RTSP URL or USB camera details.