Interactive Doodle Recognition

This work is a attempt to train a Deep Neural Network to classify doodles from the Google's QuickDraw database as the user interacts with the application.

Available predictions

• Angel;
• Bicycle;
• Cat;
• Clock;
• Cup;
• Diamond;
• Dolphin;
• Door;
• Eye;
• Eyeglasses;
• Hat;
• Headphones;
• Helicopter;
• House;
• Octopus;
• Plant;
• Popsicle;
• Ship;
• Umbrella;
• Windmill;

Dependencies:

• raysan5/raylib;
• libeigen/eigen;
• opencv/opencv;
• Dobiasd/FunctionalPlus
• Dobiasd/frugally-deep;
• nlohmann/json;

TODO

• For now, there are only 20 possible predictions;
• Make a better brush.