Transformer-Polyp-Tracker

This repository hosts the Transformer-Polyp-Tracker, a machine learning project that uses django, pytorch to accomplish the real-time detection of polyps in colocopic videos.

Installation

To install the required packages, follow these steps:

1. Clone this repository to download the project files: git clone https://github.com/alancarlosml/transformer-polyp-tracker.git
2. Navigate to the project directory using the command line: cd transformer-polyp-tracker
3. Create a new virtual environment to keep the project's dependencies separate from other Python projects on your computer: virtualenv venv or conda env create --name venv (Conda)
4. Activate the virtual environment to use the packages installed in the environment: source venv/bin/activate (Linux) or venv\Scripts\activate (Windows). For Conda, conda activate venv
5. Install the required packages: pip install -r requirements.txt

Usage

Starting SQLite

Before running the application, you'll need to start the SQLite database. To do this, follow these steps:

1. Open a terminal/command prompt window
2. Navigate to the project directory: cd transformer-polyp-tracker
3. Run the following command to create the SQLite database: python manage.py migrate

Running Migration

python manage.py migrate tpt reports

Running the Application

Once the database is set up, you can run the application using the following command:

python manage.py runserver

Then, open a web browser and go to http://127.0.0.1:8000/ to use the application.

Acknowledgements

This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil, and Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão (FAPEMA), Brazil.