Human 2D images to 3D models

Docker image inspired by http://files.is.tuebingen.mpg.de/classner/up/.

Setup

Before you execute the script: download SMPL_python_v.1.0.0.zip from http://smpl.is.tue.mpg.de/ and put it in the ./models folder. You need an account to download the package.

./prepare.sh

Build image:

$ docker-compose build
or
$ docker build . -t demo

Generate pose prediction:

$ docker-compose run demo pose input/debruyne1.jpg
or
$ docker run -it -v "$(pwd)"/input:/input demo bodyfit input/debruyne1.jpg

This will generate .npz and .png files in the input folder.

Generate 3D body:

$ docker-compose run demo pose input/debruyne1.jpg
or
$ docker run -it -v "$(pwd)"/input:/input demo bodyfit input/debruyne1.jpg