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KarthikNot/
glaucoma-detection

Name: glaucoma-detection
Availability: InStock

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🩺 Glaucoma Detection using CNN

A deep learning-based Glaucoma Detection System that classifies retinal images as Glaucoma or No Glaucoma using a Convolutional Neural Network (CNN). Built with PyTorch and deployed using Streamlit.

Dataset

You can download the dataset from here Kaggle Dataset

Models 🤖

You can download the models from here HuggingFace Models

📌 Features

Upload an eye image for analysis 📤
Predict whether Glaucoma is present or not 🔍
Displays confidence scores for predictions 📊
Simple and interactive web UI with Streamlit 🎨

Folder Structure (Post-Project Setup) 📁

This section outlines the directory structure of the project after setup, providing a clear overview of the organization of files and folders.

📁 glaucoma-detection
│── 📁 data/
│ ├── 📁 images # Contains server images (Used in README.md)
│── 📁 models # Directory for trained CNN models
│── 📁 notebook # Jupyter notebooks for model experimentation and testing
│ ├── Glaucoma_Prediction.ipynb
│── 📁 venv/ # Virtual environment (excluded from version control)
│── 📜 .gitignore # Specifies files and directories to ignore in Git
│── 📜 README.md # Comprehensive project documentation
│── 📜 requirements.txt # Lists all project dependencies
│── 📜 server.py # Streamlit application for glaucoma detection

Demo 🖥️

🛠️ How to Set Up This Project

This guide will help you set up the project's environment seamlessly.

1. Install Python 🐍

If you haven't installed Python yet, visit the official download page: Python Download Guide and follow the instructions for your operating system (Windows, macOS, or Linux).

2. Create a Virtual Environment

Creating a virtual environment:
- In the terminal, run this command:
python -m venv venv
Activate the virtual environment:
- To activate the virtual environment, use:
.\venv\Scripts\activate

3. Clone the Repository 📥

Open your Git client or terminal.
Navigate to the directory where you want to clone the repository.
Run the following command, replacing <repository_url> with the actual URL of the project's repository:

git clone <repository_url>

3. Install required Dependencies 📦

Open terminal/cmd.
Navigate to repo directory
Run the following command to install dependencies from requirements.txt:

pip install -r requirements.txt

4. Host the project Locally 🌐

After installing the required dependencies, run the following command to start the project locally:

streamlit run ./server.py

KarthikNot/glaucoma-detection