https://github.com/aaronjackson/vrn-docker

:whale: Docker files for Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
https://github.com/aaronjackson/vrn-docker

3d-face-reconstruction docker

Last synced: 2 days ago
JSON representation

:whale: Docker files for Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

• Host: GitHub
• URL: https://github.com/aaronjackson/vrn-docker
• Owner: AaronJackson
• Created: 2021-04-08T13:43:43.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2023-12-02T06:06:46.000Z (about 1 year ago)
• Last Synced: 2025-01-19T04:58:51.508Z (10 days ago)
• Topics: 3d-face-reconstruction, docker
• Language: Lua
• Homepage:
• Size: 579 KB
• Stars: 381
• Watchers: 17
• Forks: 180
• Open Issues: 7
• Metadata Files:
  • Readme: README.org
  • Citation: CITATION.bib

Awesome Lists containing this project

README

        
* Docker build for vrn code

If you've been redirected here from the 3D face reconstruction demo website: Sorry, I turned it off.

This is intended to work on CPU. Will modify eventually to have CUDA

support. It's available on DockerHub but you are welcome to build it

yourself too. If you feel like doing this yourself, please feel free to

send a pull request to a branch called cuda.

** Setup

*** Dockerhub

The pre-built docker image is available on Docker Hub and includes the CPU float versions of the models. 

#+BEGIN_SRC

sudo docker pull asjackson/vrn:latest

#+END_SRC

*** Build docker manually

The model files were originally held in GitHub's LFS, but I ran out of space. If you want to build the container

yourself, feel free to ask me for links to these files, or alternatively grab them from inside the Docker Hub

container.

#+BEGIN_SRC

git clone

cd vrn-docker

docker build -t vrn .

#+END_SRC

** Running the container

An example image of Alan Turing is available in the folder ~data~,

this needs to be bind mounted to ~/data~ in the container. With any

luck, ~data/turing.jpg.obj~ will be created.

#+BEGIN_SRC

docker run -v $PWD/data:/data:Z asjackson/vrn /runner/run.sh /data/turing.jpg

#+END_SRC

The Z suffix changes the SELinux context of the directory so that it can be accessed on systems

which have SELinux enabled. This might not be necessary on some distributions, such as Ubuntu,

where SELinux is disabled by default. However, it is likely required under CentOS and Fedora.