README.md

metadata

license: mit
tags:
  - chemistry
  - unmixing
  - deep learning
  - Raman imaging
  - hyperspctral imaging

P4NSU: Projection-based Pretraining for Nonlinear Sparse Unmixing in Spectral Imaging

The main codes of P4NSU can be seen in Github.

🚀 How to Use

You can download this dataset directly in your Python script:

!pip install huggingface_hub -q

from huggingface_hub import snapshot_download

# Download dataset to a local folder called 'P4NSU'
snapshot_download(repo_id="RyanWy/P4NSU", 
                  repo_type="dataset", 
                  local_dir="./P4NSU")

# Then you can access data like:
# data_path = "./P4NSU/Pigment Dataset/gt.npy"

🧑‍💻 Contact

Wang Yue
E-mail: ryanwy@csu.edu.cn