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** (2022-Aug.-17)** The optimized model for general use of our IS-Net is now released: ```isnet-general-use.pth``` (for general use) from [(Google Drive)](https://drive.google.com/file/d/1nV57qKuy--d5u1yvkng9aXW1KS4sOpOi/view?usp=sharing) or [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), please feel free to try it with the newly created simple ```inference.py``` code on your own datasets. ** (2022-Aug.-17)** The optimized model for general use of our IS-Net is now released: ```isnet-general-use.pth``` (for general use) from [(Google Drive)](https://drive.google.com/file/d/1nV57qKuy--d5u1yvkng9aXW1KS4sOpOi/view?usp=sharing) or [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), please feel free to try it with the newly created simple ```inference.py``` code on your own datasets.
![u2net-isnet-cmp](figures/u2net-isnet-cmp.png) ![u2net-isnet-cmp](figures/u2net-isnet-cmp.png)
** (2022-Jul.-30)** Thank [**AK391**](https://github.com/AK391) for the implementaiton of a Web Demo: Integrated into [Huggingface Spaces 🤗](https://huggingface.co/spaces) using [Gradio](https://github.com/gradio-app/gradio). Try out the Web Demo [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/doevent/dis-background-removal). <br> ** (2022-Jul.-30)** Thank [**AK391**](https://github.com/AK391) for the implementaiton of a Web Demo: Integrated into [Hugging Face Spaces 🤗](https://huggingface.co/spaces) using [Gradio](https://github.com/gradio-app/gradio). Try out the Web Demo [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/doevent/dis-background-removal). <br>
Notes for official DIS group: Currently, the released DIS deep model is the academic version that was trained with DIS V1.0, which includes very few animal, human, cars, etc. So it may not work well on these targets. We will release another version for general use and test. In addition, our DIS V2.0 will cover more categories with extremely well-annotated samples. Please stay tuned. <br> Notes for official DIS group: Currently, the released DIS deep model is the academic version that was trained with DIS V1.0, which includes very few animal, human, cars, etc. So it may not work well on these targets. We will release another version for general use and test. In addition, our DIS V2.0 will cover more categories with extremely well-annotated samples. Please stay tuned. <br>