update readme for portrait image matting commercial solution

Author: ZHKKKe

README.md

@@ -1,56 +1,100 @@
-<h2 align="center">MODNet: Is a Green Screen Really Necessary for Real-Time Portrait Matting?</h2>
+<h2 align="center">MODNet: Trimap-Free Portrait Matting in Real Time</h2>
 
 <img src="doc/gif/homepage_demo.gif" width="100%">
 
+<div align="center">MODNet is a model for <b>real-time</b> portrait matting with <b>only RGB image input</b>.</div>
+<div align="center">MODNet是一个<b>仅需RGB图片输入</b>的<b>实时</b>人像抠图模型。</div>
+
+<br />
+
 <p align="center">
+  <a href="#commercial-solution-商用方案">Commercial Solution (商用方案)</a> |
+  <a href="#research-demo">Research Demo</a> | 
   <a href="https://arxiv.org/pdf/2011.11961.pdf">Arxiv Preprint</a> |
   <a href="https://youtu.be/PqJ3BRHX3Lc">Supplementary Video</a>
 </p>
 
 <p align="center">
-WebCam Video Demo [<a href="demo/video_matting/webcam">Offline</a>][<a href="https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing">Colab</a>] | Custom Video Demo [<a href="demo/video_matting/custom">Offline</a>] |
-  Image Demo [<a href="https://www.gradio.app/hub/aliabd/modnet">WebGUI</a>][<a href="https://colab.research.google.com/drive/1GANpbKT06aEFiW-Ssx0DQnnEADcXwQG6?usp=sharing">Colab</a>]
+  <a href="#community">Community</a> |
+  <a href="#code">Code</a> |
+  <a href="#ppm-benchmark">PPM Benchmark</a> | 
+  <a href="#license">License</a> | 
+  <a href="#acknowledgement">Acknowledgement</a> | 
+  <a href="#citation">Citation</a> | 
+  <a href="#contact">Contact</a>
 </p>
 
-<div align="center">This is the official project of our paper <b>Is a Green Screen Really Necessary for Real-Time Portrait Matting?</b></div>
-<div align="center">MODNet is a <b>trimap-free</b> model for portrait matting in <b>real time</b> under <b>changing scenes</b>.</div>
-
 
 ---
 
 
-## News
-- [Mar 12 2021] Support [TorchScript version](torchscript) of MODNet (from the community).
-- [Feb 19 2021] Support [ONNX version](onnx) of MODNet (from the community).
-- [Jan&nbsp; 28 2021] Release the [code](src/trainer.py) of MODNet training iteration.
-- [Dec 25 2020] ***Merry Christmas!*** :christmas_tree: Release Custom Video Matting Demo [[Offline](demo/video_matting/custom)] for user videos.
-- [Dec 10 2020] Release WebCam Video Matting Demo [[Offline](demo/video_matting/webcam)][[Colab](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing)] and Image Matting Demo [[Colab](https://colab.research.google.com/drive/1GANpbKT06aEFiW-Ssx0DQnnEADcXwQG6?usp=sharing)].
-- [Nov 24 2020] Release [Arxiv Preprint](https://arxiv.org/pdf/2011.11961.pdf) and [Supplementary Video](https://youtu.be/PqJ3BRHX3Lc).
+## Commercial Solution (商用方案)
 
+Our commercial solution for portrait matting is coming!  
+我们的人像抠图商用方案来了！ 
 
-## Demos
+### Portrait Image Matting Solution (图片抠像方案)
+
+A **Single** Model! Only **7M**! Process **2K** resolution image with a **Fast** speed on common PCs or Mobiles!  
+**单个**模型！大小仅为**7M**！可以在普通PC或移动设备上**快速**处理具有**2K**分辨率的图像！ 
+
+<!-- Here are two example videos processed (frame independently) via our **portrait image matting** model:  
+我们**图片抠像**模型逐帧单独处理的两个示例视频: 
+
+<img src="doc/gif/commercial_image_matting_model_result.gif" width='100%'>
+
+<br>
+<br> -->
+
+Now you can try the Beta version of our **portrait image matting** online via [this website](https://sight-x.cn/portrait_matting).  
+(As our current server for testing is hosted in China, your access may be delayed.)  
+现在，您可以通过[此网站](https://sight-x.cn/portrait_matting)在线使用我们的**图片抠像**测试版。  
+
+<img src="doc/gif/commercial_image_matting_website.gif" width='100%'>
+
+<!-- You can also scan the QR code below to try the WeChat Mini-Program based on our model.  
+您也可以扫描下方二维码尝试基于我们模型的微信小程序。 -->
+
+The commercial API interface for **portrait image matting** will be available soon.  
+用于**图片抠像**的商用API接口即将推出。
+
+If you are interest in a **portrait image matting SDK**, please contact `[email protected]`.  
+如果您对**图片抠像SDK**感兴趣，请联系`[email protected]`。
 
-### Video Matting
-We provide two real-time portrait video matting demos based on WebCam. When using the demo, you can move the WebCam around at will. 
-If you have an Ubuntu system, we recommend you to try the [offline demo](demo/video_matting/webcam) to get a higher *fps*. Otherwise, you can access the [online Colab demo](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing).  
-We also provide an [offline demo](demo/video_matting/custom) that allows you to process custom videos.
 
-<img src="doc/gif/video_matting_demo.gif" width='60%'>
+### Portrait Video Matting Solution (视频抠像方案)
 
+Stay tuned.  
+敬请期待。
 
-### Image Matting
+
+---
+
+
+## Research Demo
+
+All the models behind the following demos are trained on the datasets mentioned in [our paper](https://arxiv.org/pdf/2011.11961.pdf). 
+
+### Portrait Image Matting
 We provide an [online Colab demo](https://colab.research.google.com/drive/1GANpbKT06aEFiW-Ssx0DQnnEADcXwQG6?usp=sharing) for portrait image matting.  
 It allows you to upload portrait images and predict/visualize/download the alpha mattes. 
 
-<img src="doc/gif/image_matting_demo.gif" width='40%'>
+<!-- <img src="doc/gif/image_matting_demo.gif" width='40%'> -->
 
+### Portrait Video Matting
+We provide two real-time portrait video matting demos based on WebCam. When using the demo, you can move the WebCam around at will. 
+If you have an Ubuntu system, we recommend you to try the [offline demo](demo/video_matting/webcam) to get a higher *fps*. Otherwise, you can access the [online Colab demo](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing).  
+We also provide an [offline demo](demo/video_matting/custom) that allows you to process custom videos.
+
+<!-- <img src="doc/gif/video_matting_demo.gif" width='60%'> -->
+
+
+## Community
 
-### Community
-Here we share some cool applications/extentions of MODNet built by the community.
+We share some cool applications/extentions of MODNet built by the community.
 
-- **WebGUI for Image Matting**  
-You can try [this WebGUI](https://www.gradio.app/hub/aliabd/modnet) (hosted on [Gradio](https://www.gradio.app/)) for portrait matting from your browser without code! 
-<!-- <img src="https://i.ibb.co/9gLxFXF/modnet.gif" width='40%'> -->
+- **WebGUI for Portrait Image Matting**  
+You can try [this WebGUI](https://www.gradio.app/hub/aliabd/modnet) (hosted on [Gradio](https://www.gradio.app/)) for portrait image matting from your browser without code! 
 
 - **Colab Demo of Bokeh (Blur Background)**  
 You can try [this Colab demo](https://colab.research.google.com/github/eyaler/avatars4all/blob/master/yarok.ipynb) (built by [@eyaler](https://github.com/eyaler)) to blur the backgroud based on MODNet!
@@ -61,31 +105,37 @@ You can convert the pre-trained MODNet to an ONNX model by using [this code](onn
 - **TorchScript Version of MODNet**  
 You can convert the pre-trained MODNet to an TorchScript model by using [this code](torchscript) (provided by [@yarkable](https://github.com/yarkable)). 
 
+- **TensorRT Version of MODNet**  
+You can access [this Github repository](https://github.com/jkjung-avt/tensorrt_demos) to try the TensorRT version of MODNet (provided by [@jkjung-avt](https://github.com/jkjung-avt)).
+
+
+There are some resources about MODNet from the community.
+- [Video from What's AI YouTube Channel](https://youtu.be/rUo0wuVyefU)
+- [Article from Louis Bouchard's Blog](https://www.louisbouchard.ai/remove-background/)
+
 
 ## Code
 We provide the [code](src/trainer.py) of MODNet training iteration, including:
 - **Supervised Training**: Train MODNet on a labeled matting dataset
 - **SOC Adaptation**: Adapt a trained MODNet to an unlabeled dataset
 
-In the function comments, we provide examples of how to call the function.  
+In the code comments, we provide examples for using the functions.  
 
 
-## TODO
-- Release the code of One-Frame Delay
-- Release PPM-100 validation benchmark (**Delayed, But On The Way...**)  
-**NOTE**: PPM-100 is a **validation set**. Our training set will not be published.
+## PPM Benchmark
+The PPM benchmark will be released in a separate repository [PPM](https://github.com/ZHKKKe/PPM).  
 
 
 ## License
-This project (**code, pre-trained models, demos, *etc.***) is released under the [Creative Commons Attribution NonCommercial ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license.
+All resources in this repository (code, models, demos, *etc.*) are released under the [Creative Commons Attribution NonCommercial ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license.  
+The license will be changed to allow commercial use after our paper is accepted.
 
-**NOTE**: The license will be changed to allow commercial use after this work is accepted by a conference or a journal.
 
-## Acknowledgement
-- We thank [City University of Hong Kong](https://www.cityu.edu.hk/) and [SenseTime](https://www.sensetime.com/) for their support to this project.  
+## Acknowledgement  
 - We thank  
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[the Gradio team](https://github.com/gradio-app/gradio), [@eyaler](https://github.com/eyaler), [@manthan3C273](https://github.com/manthan3C273),  [@yarkable](https://github.com/yarkable),  
-for their contributions to this repository or their cool applications based on MODNet.
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[@eyaler](https://github.com/eyaler), [@manthan3C273](https://github.com/manthan3C273),  [@yarkable](https://github.com/yarkable), [@jkjung-avt](https://github.com/jkjung-avt),  
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[the Gradio team](https://github.com/gradio-app/gradio), [What's AI YouTube Channel](https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg), [Louis Bouchard's Blog](https://www.louisbouchard.ai),  
+for their contributions to this repository or their cool applications/extentions/resources of MODNet.
 
 
 ## Citation
@@ -103,5 +153,6 @@ If this work helps your research, please consider to cite:
 
 
 ## Contact
-This project is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)).  
-If you have any questions, please feel free to contact `[email protected]`.
+This repository is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)).  
+For commercial questions, please contact `[email protected]`.  
+For research questions, please contact `[email protected]`.