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Fix typo in URL
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@ -21,7 +21,7 @@
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# Updates !!!
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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), [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS-general-usage), please feel free to try it with the newly created simple ```inference.py``` code on your own datasets.
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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), [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS-general-use), please feel free to try it with the newly created simple ```inference.py``` code on your own datasets.
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![u2net-isnet-cmp](figures/u2net-isnet-cmp.png)
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** (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>
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@ -138,7 +138,7 @@ python train_valid_inference_main.py
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### (5) Inference
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Download the pre-trained weights (for fair academic comparisons) ```isnet.pth``` from [(Google Drive)](https://drive.google.com/file/d/1KyMpRjewZdyYfxHPYcd-ZbanIXtin0Sn/view?usp=sharing), [(Baidu Pan 提取码:xbfk)](https://pan.baidu.com/s/1-X2WutiBkWPt-oakuvZ10w?pwd=xbfk), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS) OR the optimized model weights ```isnet-general-use.pth``` (for general use) from [(Google Drive)](https://drive.google.com/file/d/1nV57qKuy--d5u1yvkng9aXW1KS4sOpOi/view?usp=sharing), [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS-general-usage) and store them in ```saved_models/IS-Net``` <br>
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Download the pre-trained weights (for fair academic comparisons) ```isnet.pth``` from [(Google Drive)](https://drive.google.com/file/d/1KyMpRjewZdyYfxHPYcd-ZbanIXtin0Sn/view?usp=sharing), [(Baidu Pan 提取码:xbfk)](https://pan.baidu.com/s/1-X2WutiBkWPt-oakuvZ10w?pwd=xbfk), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS) OR the optimized model weights ```isnet-general-use.pth``` (for general use) from [(Google Drive)](https://drive.google.com/file/d/1nV57qKuy--d5u1yvkng9aXW1KS4sOpOi/view?usp=sharing), [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), or [Hugging Face](https://huggingface.co/NimaBoscarino/IS-Net_DIS-general-use) and store them in ```saved_models/IS-Net``` <br>
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## I. Simple inference code for your own dataset without ground truth:
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(a) Open ```\ISNet\inference.py``` and configure your input and output directories
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