From e1542c314ecdb79ef6b4ccd6d0223ba7996b24c7 Mon Sep 17 00:00:00 2001 From: Nima Boscarino Date: Wed, 31 Aug 2022 22:41:47 -0700 Subject: [PATCH] Include links to models hosted on Hugging Face --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9071ca0..3c701c2 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ # Updates !!! -** (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), [(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. ![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).
@@ -138,7 +138,7 @@ python train_valid_inference_main.py ### (5) Inference -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) or [(Baidu Pan 提取码：xbfk)](https://pan.baidu.com/s/1-X2WutiBkWPt-oakuvZ10w?pwd=xbfk) 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) or [(Baidu Pan 提取码:6jh2)](https://pan.baidu.com/s/111MqmwnUc8Z4Wsq2Pc4bhQ?pwd=6jh2), and store them in ```saved_models/IS-Net```
+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```
## I. Simple inference code for your own dataset without ground truth: (a) Open ```\ISNet\inference.py``` and configure your input and output directories