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DagsHub x ML@Purdue Hackathon
This is the template repository for the Scene Graph Generation Challenge.
From the root of the repository:
pip install -r requirements.txt # please use a virtual environment!
aws s3 cp s3://visualgenome data --recursive --no-sign-request
git remote add base https://dagshub.com/ML-Purdue/sgg-template.git
git pull base --rebase
git branch -M main
git push origin main
git pull base main --allow-unrelated-histories
Then, resolve any merge conflicts, commit and push!
python -m src.model.arch
├── LICENSE
├── README.md
├── requirements.txt
├── data <- visual genome dataset
└── src
├── const.py <- constants (hyperparameters, paths)
├── data
│ └── visualgenome.py <- dataset sampler
├── model
│ ├── arch.py <- model architecture
│ ├── agcn.py <- attention graph convolutional network
│ └── repn.py <- relationship proposal network
└── utils.py <- helper functions (nms)
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