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End-to-end Recovery of Human Shape and Pose

This project is forked from https://github.com/akanazawa/hmr

Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik CVPR 2018 Project Page

Requirements

  • Windows 10
  • Anaconda
  • chocolatey
  • Python 3.5
  • CUDA 9.0 and cuDNN7.0

Installation

  1. Install chocolatey:
    https://chocolatey.org/install#installing-chocolatey

  2. Install CUDA 9.0
    https://developer.nvidia.com/cuda-90-download-archive

  3. Set up cuDNN v7.0.5 (Dec 5, 2017), for CUDA 9.0
    https://developer.nvidia.com/rdp/cudnn-archive

  4. Install Anaconda
    https://www.anaconda.com/download/

  5. Open command line and setup hmr

chocolatey install wget

# setup virtual environment
conda create -n hmr3 pip python=3.5

# install tensorflow
pip install tensorflow-gpu==1.8
# If without gpu:
# pip install tensorflow==1.8

# clone project
git clone https://github.com/furaga/hmr.git

# install packages
cd hmr
pip install -r requirements

# Download the pre-trained models
wget https://people.eecs.berkeley.edu/~kanazawa/cachedir/hmr/models.tar.gz && tar -xf models.tar.gz

# unzip pkl file converted for python3  
unzip py3-models/py3-neutral_smpl_with_cocoplus_reg.zip -d models/

Run the demo

python -m demo --img_path data/coco1.png

If succeeded, a window like the followng image will pop-up

HMR demo result

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