You need to download npz files corresponding to 20 classes my model used and store them in folder data. You could find my trained model at trained_models/whole_model_quickdraw Training The table below shows 20 categories my model used: Here I only picked up 20 files for 20 categories Categories: The dataset used for training my model could be found at. The script and demo will be released soon Dataset When you want to stop drawing, press space againīelow is the demo by running the sript camera_app.py: When you are ready for drawing, you need to press space button.

When the pen (object) appears in front of camera, it will be catched and highlighted by an yellow circle. In order to use this app, you need a pen (or any object) with blue, red or green color. Run an app which you could draw on a canvas.Run an app which you could draw in front of a camera (If you use laptop, your webcam will be used by default).Java is a registered trademark of Oracle and/or its affiliates.Here is my python source code for QuickDraw - an online game developed by google. For details, see the Google Developers Site Policies. Title = Įxcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. 'label': ClassLabel(shape=(), dtype=int64, num_classes=345), The bitmap datasetĬontains these drawings converted from vector format into 28x28 grayscale images The Quick Draw Dataset is a collection of 50 million drawings across 345Ĭategories, contributed by players of the game Quick, Draw!. diabetic_retinopathy_detection (manual).

Quick draw download