Peter Lin
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| export_torchscript.py | 4 éve | |
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README.md
Real-Time High-Resolution Background Matting
Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires capturing an additional background image and produces state-of-the-art matting results at 4K 30fps and HD 60fps on an Nvidia RTX 2080 TI GPU.
Overview
Download
Model / Weights
Video / Image Examples
- HD videos (by Sengupta et al.) (Our model is more robust on HD footage)
- 4K videos and images
Datasets
- VideoMatte240K (Coming soon)
- PhotoMatte85 (Coming soon)
Demo
Scripts
We provide several scripts in this repo for you to experiment with our model. More detailed instructions are included in the files.
inference_images.py: Perform matting on a directory of images.inference_video.py: Perform matting on a video.inference_webcam.py: An interactive matting demo using your webcam.
Notebooks
Additionally, you can try our notebooks in Google Colab for performing matting on images and videos.
Web Demo
Developers in the community has helped us build a web demo. See Community Projects section below.
Usage / Documentation
You can run our model using PyTorch, TorchScript, TensorFlow, and ONNX. For detail about using our model, please check out the Usage / Documentation page.
Training
Training code will be released upon acceptance of the paper.
Project members
- Shanchuan Lin*, University of Washington
- Andrey Ryabtsev*, University of Washington
- Soumyadip Sengupta, University of Washington
- Brian Curless, University of Washington
- Steve Seitz, University of Washington
- Ira Kemelmacher-Shlizerman, University of Washington
* Equal contribution.
License
This work is licensed under the Creative Commons Attribution NonCommercial ShareAlike 4.0 License.
Community Projects
We show a list of projects built by third-party developers in the community. If you have a project to share, contact us!
- Web Demo by Gradio: Matting your own images from your browser.