Buckets:
141 GB
302 files
Updated 14 days ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.52 kB xet | 818ba6de | |
| README.md | 2.04 kB xet | 5a326070 | |
| config.json | 406 Bytes xet | dd00041e | |
| model.safetensors | 1.05 GB xet | 3994bf64 | |
| preprocessor_config.json | 370 Bytes xet | 0f2478db |
This model has been pushed to the Hub using the PytorchModelHubMixin integration.
Library: nobg
Blog : feynobg blogpost HF blogpost
how to use the model
pip install nobg>=0.2.5
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")
Citation
If you use this model, please cite:
@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
- Total size
- 141 GB
- Files
- 302
- Last updated
- Sep 6
- Pre-warmed CDN
- US EU US EU


