README.md

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

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

![Figure 1-6](https://cdn-uploads.huggingface.co/production/uploads/65979dfeb4b5c254cb8ed20e/AAm1R34W9w91QTmnDkVYB.png)

The main codes of P4NSU can be seen in [Github](https://github.com/Ryan21wy/P4NSU).

## 🚀 How to Use
You can download this dataset directly in your Python script:

```python
!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