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Forked from here

Authors:

• Hoàng Minh Đức 105541452@student.swin.edu.au

Running guide:

• Create a Python virtual environment in this directory: python -m venv .
• Activate the virtual environment: ./Scripts/Activate.ps1 (Windows) or source bin/activate (Linux)
• Install packages: pip install -r requirements.txt
• Run python main.py. In the output, there is a line that says "Running on public URL", follow the link of that line.
  • or enter http://127.0.0.1:7860/ if that link works.
• Enjoy!

Note: There's a Kaggle notebook if you want to see the training process, since my laptop doesn't have GPU support. Pretrained weights /model/*.keras were included if you want model local inference.

Kaggle notebooks:

• trainer, used for demonstration.
• trainer 2, more similar to the actual code.

They use the data provided by boroondara2006.zip, or the data/ folder. For convenience, they are also downloaded here.

• Report: https://docs.google.com/document/d/1RhNKwta_dEkDoBVj0KPk6JPTmrcMJei_wwDdkJebqOs/edit?usp=sharing
• Slides: https://docs.google.com/presentation/d/1JdORTSHtRyzWRiWo-Z6-4UgOW9tXkSqf/edit?usp=sharing&ouid=110314531860417001009&rtpof=true&sd=true