Group_18 - Image Reconstruction and Captioning

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Project Title: ReconLab

A web and mobile application of reconstructing and captioning low resolution distorted images.

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Feature Description:

-Users can upload any low resolution image from their devices. -They get the reconstructed image as output upon clicking on the reconstruct button. -Our system also describes the image for users.

#Technologies Used

Backend:

-Flask

Frontend:

-React

-Material UI

-Flutter

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#Installation Guide

Web App

• clone the repository

• open the project in any code editor you like. But it would be best if you used Visual Studio Code

• then open two terminals one for frontend and one for backend

• in one of the terminals type cd frontend and type cd backend on the other

• for the terminal in which you are in 'frontend' directory type npm install to install all the dependecies from the package.json you need. But some imports can still be marked as red after that showing that it doesn't exist. If you face such problem, you have to import them manually. When everything is set type npm start on the terminal to start the project on localhost

• for the other terminal in which you are in 'backend' directory type pip install flask-cors flask torch python-opencv pillow transformers to install all the python packages needed for this project or manually install only those python packages that you don't have. Then type python main.py to start the backend server

• Then you are all set to use our app

Mobile App

• First download and install flutter from official flutter page https://docs.flutter.dev/get-started/install

• Now open the project in visual studio code or android studio as you prefer. Install flutter and dart plugin from market place.

• Install following project dependencies $ utter pub add flutter_native_splash http image_picker path path_provider

• Run the project in the android virtual device or your preferred virtual device, and you are ready to go.

#Developers

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Group Number:18

Group Name:Team Perceptron

SL	Name	Registration	Cell Number	Email
1	Tahsina Bintay Azam	2018331072	+8801741969665	tahsina.sheeva@gmail.com
2	Nurun Islam Niloy	2018331070	+8801567934602	ibn20172016@gmail.com
3	Abdul Wadud Shakib	2018331120	+8801721140302	wadud6065@gmail.com
4	S. M. Al - Hasib	2018331094	+8801571342894	alhasibsm@gmail.com
5	Dewan Mahinur Alam	2018331054	+8801771113915	mahinuralam1108@gmail.com