Spatio-Temporal Adaptive Fusion Network for Vegetation Index Prediction in the Liupan Mountain Region
We recommend setting up the environment by installing pixi.
# Build the environment
pixi install
# Activate the env
pixi shell
# Run code
python main.py -c conf/*.toml.
├── baselines.py
├── cache # Generated for the first time
├── conf
├── data
├── datasets # Refer to the Dataset section (following)
├── logs
├── main.py
├── model.py
├── models # save models
├── pixi.lock
├── pixi.toml
├── README.md
├── trainer.py
└── util
Due to confidentiality reasons, the original data cannot be provided.
However, we have included a toy dataset. It can be downloaded directly from Hugging Face:
cd STAFN
# Make sure git-lfs is installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/datasets/sun2ot/STAFN datasets
# If you are a Chinese user, we recommend using a mirror site:
# git clone https://hf-mirror.com/datasets/sun2ot/STAFN datasets