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

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

Set up a Python virtual environment

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

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.