To learn about SMPL, please visit our website: http://smpl.is.tue.mpg You can find the SMPL paper at: http://files.is.tue.mpg.de/black/papers/SMPL2015.pdf
Visit our downloads page to download some sample animation files (FBX), and python code: http://smpl.is.tue.mpg/downloads
For comments or questions, please email us at: [email protected]
Operating system: OSX, Linux
Python Dependencies:
- Numpy & Scipy [http://www.scipy.org/scipylib/download.html]
- Chumpy [https://github.com/mattloper/chumpy]
- OpenCV [http://opencv.org/downloads.html]
- Extract the Code:
Extract the 'smpl.zip' file to your home directory (or any other location you wish)
- Set the PYTHONPATH:
We need to update the PYTHONPATH environment variable so that the system knows how to find the SMPL code. Add the following lines to your ~/.bash_profile file (create it if it doesn't exist; Linux users might have ~/.bashrc file instead), replacing ~/smpl with the location where you extracted the smpl.zip file:
SMPL_LOCATION=~/smpl
export PYTHONPATH=$PYTHONPATH:$SMPL_LOCATION
Open a new terminal window to check if the python path has been updated by typing the following:
echo $PYTHONPATH
- Run the Hello World scripts:
In the new Terminal window, navigate to the smpl/smpl_webuser/hello_world directory. You can run the hello world scripts now by typing the following:
python hello_smpl.py
OR
python render_smpl.py
Note: Both of these scripts will require the dependencies listed above. The scripts are provided as a sample to help you get started.