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# YOLO-V3 Object Tracker

This repository contains a Python script that implements object detection using YOLOv3 (You Only Look Once) and tracks the detected objects in real-time using a webcam or video stream.

## Requirements

- Python 3
- OpenCV (`pip install opencv-python`)
- NumPy (`pip install numpy`)

## Usage

1. Clone the repository:

```bash
git clone https://github.com/skmirajulislam/YOLO-V3-Object-Tracker.git

2. Navigate to the project directory:

cd YOLO-V3-Object-Tracker

3. Run the Python script:

python object_tracker.py

Install Dependencies

Before running the script, make sure you have installed the required dependencies:

1. YOLOv3 weights and configuration files can be downloaded from here.

2. OpenCV: You can install it via pip:

3. NumPy: You can install it via pip:

   

4. Adjust the parameters as needed:

   • image_path: Path to the image file if you want to perform object detection on an image.
   • yolov3_weights: Path to the YOLOv3 pre-trained weights file.
   • yolov3_cfg: Path to the YOLOv3 configuration file.
   • min_confidence: Minimum confidence threshold for detected objects.
   • bbox_reduction_factor: Adjusts the bounding box dimensions.

5. Press 'q' to quit the application.

License

This project is licensed under the MIT License - see the LICENSE file for details.