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2.0 1.0 0.0 3.42 MB

A wheel to estimate smpl and front-back normal maps using a single human image

Shell 0.51% Python 93.55% C 0.77% C++ 1.56% Cuda 3.62%

avatar normal smpl

img2smpl's Introduction

Img2Smpl

a wheel: single view avatar 2 smpl and normal

Environment setup

# install libraries
apt-get install -y \
    libglfw3-dev \
    libgles2-mesa-dev \
    libglib2.0-0 \
    libosmesa6-dev \
# install requirements
pip install -r requirements.txt
# install kaolin
pip install kaolin==0.13.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-${YOUR_TORCH_VERSION}_${YOUR_CUDA_VERSION}.html

How to run

# download MODNet to Img2Smpl/thirdparties/MODNet
mkdir thirdparties
git clone https://github.com/ZHKKKe/MODNet.git


# download smpl data
sh scripts/download.sh 

# 0 is the GPU device id
sh scripts/run1.sh input/aaa/aaa.png exp/aaa 0

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