Human Detection Using YOLOv8 and OpenCV

This repository contains an object detection and tracking project using OpenCV and the pretrained YOLOv8 weights. The project is part of a coding assignment from InLights.

Project Breakdown

• Loading and Inference
• Creating Bounding Boxes
• Object Tracking using KCF Tracker
• Handling Click Events

Challenges

Since I am a complete beginner to OpenCV, this project was a big challenge for me. Some of the areas where I struggled in are:

• Creating bounding boxes explicitly around objects marked as a 'person'.
• Handling click events like starting a timer each time a user clicks on a bounded box.

Limitations

As of now the project has the following limitations:

• Runs inference on local webcam instead of an RSTP video stream.
• Does not create bounded boxes for multiple persons.

Usage

Create a virtual environment using pip or conda and activate it.

python -m venv {environment_name}
{environment_name}\Scripts\activate

Install the required dependencies mentioned in requirements.txt.

pip install -r requirements.txt

Run the main.py file for inference.

python main.py