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HASHIRREHMAN/
isnet-background-remover-final

Name: isnet-background-remover-final
Availability: InStock

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ISNet Background Removal Model

This repository contains the ISNet (Image Segmentation Network) model for high-quality background removal.

Model Information

Architecture: ISNetDIS (ISNet for Image Segmentation)
Input: RGB images (3 channels)
Output: Segmentation masks (1 channel)
Model Size: ~168MB
Framework: PyTorch

Usage

python

from models import ISNetDIS
import torch

# Load model
model = ISNetDIS()
state_dict = torch.load("supplyswap_isnet.pth", map_location="cpu")
model.load_state_dict(state_dict)
model.eval()

# Use for inference
# See the Spaces demo for complete usage examples

Files

supplyswap_isnet.pth: Pre-trained model weights
models/: Model architecture implementation
- isnet.py: ISNet model implementation
- __init__.py: Model imports

Citation

If you use this model, please cite the original ISNet paper.

License

Please refer to the original model's license for usage terms.

HASHIRREHMAN/isnet-background-remover-final