conda create -n sanerf python=3.7
conda activate sanerf
# make sure that the pytorch cuda is consistent with the system cuda
pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py37_cu101_pyt160/download.html
pip install -r requirements.txt
conda install -c conda-forge pyembree
Download the neutral .pkl
model from SMPLify.
- Register an account and download the SMPL model (
SMPLIFY_CODE_V2.ZIP
) from here. - Find
basicModel_neutral_lbs_10_207_0_v1.0.0.pkl
, rename it toSMPL_NEUTRAL.pkl
and put it to$ROOT/zju_smpl/smplx/smpl/SMPL_NEUTRAL.pkl
.
Download the .obj
model from SMPL.
- Register an account and download the SMPL model (
Download UV map in OBJ format
) from here. - Find
smpl_uv.obj
and put it to$ROOT/zju_smpl/smplx/smpl/smpl_uv.obj
.
- Follow the instructions here to download the ZJU-Mocap dataset.
- Create a soft link:
ROOT=/path/to/sanerf cd $ROOT/data ln -s /path/to/zju_mocap zju_mocap