A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images including a webapp to draw them.
Read my blog post for more information. You can find a webapp demo here.
Switch to the cnn directory, create a new virtual environment and install the required packages:
python -m venv ./venv
source ./venv/bin/activate
pip install -r requirements.txt
Then, launch Jupyter in the target directory:
jupyter notebook
Switch to the webapp directory, create another venv and install the requirements as mentioned above. You can run the webapp using the following command:
uvicorn main:app
The webapp should be available at http://127.0.0.1:8000.
Alternatively, you can also run it via Docker:
docker build . -t quickdraw-webapp
docker run -p 443:443 quickdraw-webapp
The webapp should be available at http://0.0.0.0:443.