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zmk5566/sdm-unips-webui

By zmk5566

•Updated over 2 years ago

A WebUI for SDM-UniPS

Image
Machine learning & AI
0

812

zmk5566/sdm-unips-webui repository overview

⁠Quick Start 🚀

To quickly start using SDM-UniPS within a Docker environment, ensure you have Docker installed and running on your machine. Then, you can pull and run the container directly from Docker Hub (assuming it's uploaded there; if not, jump to the Building the Container section).

First do

  docker pull zmk5566/sdm-unips-webui:latest

Then do

  docker run -p 5870:7860 --gpus all --name sdm-unips-webui-instance zmk5566/sdm-unips-webui:latest

This command will download the container (if not already present locally), start an instance named sdm-unips-instance, and map the local port 5870 to the container's port 7860. Ensure your GPU is accessible by Docker to leverage the full power of SDM-UniPS.

⁠Requirements

CUDA 11.8+

You can then check out http://127.0.0.1:5870⁠ to access the web GUI

⁠About

Check out the SDM-UniPS-WebUI app on Github:

https://github.com/zmk5566/SDM-UniPS-WebUI-Docker⁠

Check out original work for SDM-UniPS:

https://github.com/satoshi-ikehata/SDM-UniPS-CVPR2023⁠

If you utilize SDM-UniPS in your research or applications, please consider citing the original work by Satoshi Ikehata:

@inproceedings{ikehata2023sdmunips, title={Scalable, Detailed and Mask-free Universal Photometric Stereo}, author={Satoshi Ikehata}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2023} }

Tag summary

Content type

Image

Digest

sha256:ffbce5611…

Size

4.7 GB

Last updated

over 2 years ago

docker pull zmk5566/sdm-unips-webui