mirror of https://github.com/ZHKKKe/MODNet.git
127 lines
6.0 KiB
Markdown
127 lines
6.0 KiB
Markdown
<h2 align="center">MODNet: Trimap-Free Portrait Matting in Real Time</h2>
|
||
|
||
<div align="center"><i>MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition (AAAI 2022)</i></div>
|
||
|
||
<br />
|
||
|
||
<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="#online-application-在线应用">Online Application (在线应用)</a> |
|
||
<a href="#research-demo">Research Demo</a> |
|
||
<a href="https://arxiv.org/pdf/2011.11961.pdf">AAAI 2022 Paper</a> |
|
||
<a href="https://youtu.be/PqJ3BRHX3Lc">Supplementary Video</a>
|
||
</p>
|
||
|
||
<p align="center">
|
||
<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>
|
||
|
||
---
|
||
|
||
|
||
## Online Application (在线应用)
|
||
|
||
A **Single** model! Only **7M**! Process **2K** resolution image with a **Fast** speed on common PCs or Mobiles! **Beter** than research demos!
|
||
Please try online portrait image matting via [this website](https://sight-x.cn/portrait_matting)!
|
||
|
||
**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！效果比研究示例**更好**！
|
||
请通过[此网站](https://sight-x.cn/portrait_matting)在线尝试图片抠像！
|
||
|
||
|
||
## 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%'> -->
|
||
|
||
### 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
|
||
|
||
We share some cool applications/extentions of MODNet built by the community.
|
||
|
||
- **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!
|
||
|
||
- **ONNX Version of MODNet**
|
||
You can convert the pre-trained MODNet to an ONNX model by using [this code](onnx) (provided by [@manthan3C273](https://github.com/manthan3C273)). You can also try [this Colab demo](https://colab.research.google.com/drive/1P3cWtg8fnmu9karZHYDAtmm1vj1rgA-f?usp=sharing) for MODNet image matting (ONNX version).
|
||
|
||
- **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 code comments, we provide examples for using the functions.
|
||
|
||
|
||
## PPM Benchmark
|
||
The PPM benchmark is released in a separate repository [PPM](https://github.com/ZHKKKe/PPM).
|
||
|
||
|
||
## License
|
||
The code, models, and demos in this repository (excluding GIF files under the folder `doc/gif`) are released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.
|
||
|
||
|
||
## Acknowledgement
|
||
- We thank
|
||
[@yzhou0919](https://github.com/yzhou0919), [@eyaler](https://github.com/eyaler), [@manthan3C273](https://github.com/manthan3C273), [@yarkable](https://github.com/yarkable), [@jkjung-avt](https://github.com/jkjung-avt), [@manzke](https://github.com/manzke),
|
||
[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
|
||
If this work helps your research, please consider to cite:
|
||
|
||
```bibtex
|
||
@InProceedings{MODNet,
|
||
author = {Zhanghan Ke and Jiayu Sun and Kaican Li and Qiong Yan and Rynson W.H. Lau},
|
||
title = {MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition},
|
||
booktitle = {AAAI},
|
||
year = {2022},
|
||
}
|
||
```
|
||
|
||
|
||
## Contact
|
||
This repository is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)).
|
||
For questions, please contact `kezhanghan@outlook.com`.
|
||
|
||
<img src="doc/gif/commercial_image_matting_model_result.gif" width='100%'>
|