TensorFlow interface for SMPL model. Code by https://github.com/akanazawa/hmr extracted as a separate repo.
Requires the SMPL model (.pkl
file format):
wget https://people.eecs.berkeley.edu/~kanazawa/cachedir/hmr/models.tar.gz && tar -xf models.tar.gz
The downloaded SMPL model contains chumpy
arrays. preprocess.py
(adapted from https://github.com/CalciferZh/SMPL) converts these to numpy
arrays. Running it requires the chumpy
library which is provided with the SMPL model (http://smpl.is.tue.mpg.de/).
@inProceedings{kanazawaHMR18,
title={End-to-end Recovery of Human Shape and Pose},
author = {Angjoo Kanazawa
and Michael J. Black
and David W. Jacobs
and Jitendra Malik},
booktitle={Computer Vision and Pattern Regognition (CVPR)},
year={2018}
}