Installation guide

Step 1: Install Python

If you haven't already installed Python on your system, you can download it from the official Python website: [python.org](https://www.python.org/downloads/). Follow the installation instructions for your operating system.

Step 2: Install OpenCV

OpenCV (Open Source Computer Vision Library) is used for image processing. You can install it using pip:

```bash
pip install opencv-python
```

Step 3: Install Matplotlib

Matplotlib is a plotting library for Python. Install it using pip:

```bash
pip install matplotlib
```

Step 4: Install NumPy

NumPy is a fundamental package for scientific computing with Python. Install it using pip:

```bash
pip install numpy
```

Step 5: Install SciPy

SciPy is a library for scientific computing and technical computing. Install it using pip:

```bash
pip install scipy
```

Step 6: Install Pandas

Pandas is a library providing high-performance, easy-to-use data structures and data analysis tools. Install it using pip:

```bash
pip install pandas
```

Step 7: Install Seaborn

Seaborn is a Python visualization library based on Matplotlib. Install it using pip:

```bash
pip install seaborn
```

Step 8: Clone the Repository

Clone the GitHub repository containing the code to your local machine:

```bash
git clone https://github.com/Foysalgebt12/Nucleia-Distance.git
```

Step 9: Navigate to the Project Directory

Navigate into the project directory:

```bash
cd Nucleia-Distance
```

Step 10: Run the Python Script

You can now run the Python script using the following command:

```bash
python Nucleia_Distance.py
```

You've installed all the necessary tools and dependencies and can now run the provided code successfully. Let me know if you need further assistance!
Foysal Ahammad
Hamad Bin Khalifa University
Email:foah48505@hbku.edu.qa