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lung-xray-cnn's Introduction

Lung Xray CNN

This project aims to define the condition of a lung using a convolutional neural network.

Requirements

IA training

You will need Docker and Docker-compose installed on your machine and download the dataset in root folder.

Client demonstration

You will need NodeJS and NPM installed on your machine.

Usage

IA training

๐Ÿ‹ Start the containered Jupyter Notebook using the following Make command:

make run/jupyter

๐Ÿค– Access notebooks and run it on localhost to train IA

โ• If you want to use the client to make predictions, after training and saving the model, use the following command to convert the final model to json format:

make model/json
Client demonstration

Move to app directory.

๐Ÿ‘‰ Copy the .env.example file in a new .env file and replace path to the json model.

๐Ÿ’ฟ Install depandances:

npm install

๐Ÿƒ Run NodeJS server:

npm start

lung-xray-cnn's People

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