DrawAIng

Introduction

DrawAIng is a ML based solution for autocompletion of sketches. It predicts finished sketches based on rough sketches drawn by user.

Tech used

• Model used : "AlexNet" https://github.com/val-iisc/sketch-object-recognition/tree/master/models/eitz/160/CNN/Alexnet

• Dataset used: http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/ The sketch dataset is licensed under a Creative Commons Attribution 4.0 International License. @article{ eitz2012hdhso, author={Eitz, Mathias and Hays, James and Alexa, Marc}, title={How Do Humans Sketch Objects?}, journal={ACM Trans. Graph. (Proc. SIGGRAPH)}, year={2012}, volume={31}, number={4}, pages = {44:1--44:10} }

Usage

1. Clone the repository
2. Download Model from : https://github.com/val-iisc/sketch-object-recognition/tree/master/models/eitz/160/CNN/Alexnet and copy it to path app/model
3. Add your Result dataset in folder app/dataset
4. Run docker-compose up --build
5. To prepare and load dataset run curl http://localhost:5000/createdataset
6. To make prediction run : curl -F image=@"filepath" http://localhost:5000/predict

Contributing

Contributions are welcomed! Read the Contributing Guide for more information.

Licensing

This project is licensed under the Apache V2 License. See LICENSE for more information.

Authors and Maintainers

• Nandan Jha ( @jhanandan )
• Sourabh Gupta ( @sourabhgupta01 )
• Vikas Kumar ( @vikasmishra11 )
• Piyush Singh ( @singpiyush )
• Nishchey Arya
• Rachit Gupta