FeyNobg / README.md
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---
library_name: nobg
tags:
- nobg-birefnet
- model_hub_mixin
- nobg
- pytorch_model_hub_mixin
license: apache-2.0
---
<p align="center">
<img src="https://usefeyn.com/feyn/feyn_mark.svg"/>
</p>
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration.
Library: [nobg](https://github.com/feyninc/nobg)
Blog : [feynobg blogpost](https://usefeyn.com/blog/feynobg/) [HF blogpost](https://huggingface.co/blog/feyninc/feynobg)
## how to use the model
```
pip install nobg>=0.2.5
```
```python
import torch
from loadimg import load_img
from nobg import AutoModel, AutoProcessor
model = AutoModel.from_pretrained("feyninc/FeyNobg").eval()
processor = AutoProcessor.from_pretrained("feyninc/FeyNobg")
image = load_img("input.jpg").convert("RGB")
inputs = processor(image, return_tensors="pt")
with torch.no_grad():
outputs = model(pixel_values=inputs["pixel_values"])
alpha = processor.post_process_alpha_matting(
outputs, target_sizes=[(image.height, image.width)]
)[0]
processor.cutout(image, alpha).save("output.png")
```
![image](https://cdn-uploads.huggingface.co/production/uploads/6527e89a8808d80ccff88b7a/2QIFDxrIJCLlXY87vOzH2.png)
![image](https://cdn-uploads.huggingface.co/production/uploads/6527e89a8808d80ccff88b7a/W0rNUdiP56son6i33vHzY.png)
![image](https://cdn-uploads.huggingface.co/production/uploads/6527e89a8808d80ccff88b7a/ohqZF89NGEm5LXrEOMLP0.png)
## Citation
If you use this model, please cite:
```bibtex
@article{zheng2024birefnet,
title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
journal={CAAI Artificial Intelligence Research},
volume={3},
pages={9150038},
year={2024},
url={https://arxiv.org/abs/2401.03407},
}
```
## Contributions
Any contributions are welcome at https://github.com/feyninc/nobg