GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

Overview

Body Model Visualizer

Introduction

This is a simple Open3D-based GUI for SMPL-family body models. This GUI lets you play with the shape, expression, and pose parameters of SMPL, SMPL-X, MANO, FLAME body models. Features include:

  • Interactive editing of shape, expression, pose parameters
01_model_editing.mp4
  • Visualize body model joints and joint names
02_visualize_joints.mp4
  • Simple IK solver to match an input pose
03_simple_ik.mp4
  • Save edited model parameters
04_save_params.mp4
  • View controls
05_viewing.mp4
  • Lighting controls
06_lighting.mp4
  • Material settings
07_material.mp4

Even though there are existing Blender/Unity plugins for these models, our main audience here is researchers who would like to quickly edit/visualize body models without the need to install a graphics software.

Installation

Clone the repo and install the requirements (use python3.9).

pip install -r requirements.txt

Download the SMPL, SMPL-X, MANO, FLAME body models:

Copy downloaded files under data/body_models, this folder should look like:

data
└── body_models
    ├── flame
    │   ├── FLAME_FEMALE.pkl
    │   ├── FLAME_MALE.pkl
    │   ├── FLAME_NEUTRAL.pkl
    │   ├── flame_dynamic_embedding.npy
    │   └── flame_static_embedding.pkl
    ├── mano
    │   ├── MANO_LEFT.pkl
    │   └── MANO_RIGHT.pkl
    ├── smpl
    │   ├── SMPL_FEMALE.pkl
    │   ├── SMPL_MALE.pkl
    │   └── SMPL_NEUTRAL.pkl
    └── smplx
        ├── SMPLX_FEMALE.npz
        ├── SMPLX_MALE.npz
        └── SMPLX_NEUTRAL.npz

Finally, run:

python main.py

Guidelines

Saved model parameters

File > Save Model Params lets you save the edited body model parameters. Output is a pickled python dictionary with below keys:

dict_keys(['betas', 'expression', 'gender', 'body_model', 
           'joints', 'body_pose', 'global_orient'])
Comments
  • Follow the instructions, encounter segmentation error after running

    Follow the instructions, encounter segmentation error after running "python main.py"

    Hi, thanks for the great work. I set the environment as the instructions. But when I run the main.py file, it reports "Segmentation Fault" Here is the packages I've installed as following

    addict               2.4.0
    anyio                3.4.0
    argon2-cffi          21.3.0
    argon2-cffi-bindings 21.2.0
    attrs                21.2.0
    Babel                2.9.1
    backcall             0.2.0
    bleach               4.1.0
    certifi              2021.10.8
    cffi                 1.15.0
    charset-normalizer   2.0.9
    chumpy               0.70
    cycler               0.11.0
    debugpy              1.5.1
    decorator            5.1.0
    defusedxml           0.7.1
    deprecation          2.1.0
    entrypoints          0.3
    fonttools            4.28.5
    idna                 3.3
    ipdb                 0.13.9
    ipykernel            6.6.0
    ipython              7.30.1
    ipython-genutils     0.2.0
    ipywidgets           7.6.5
    jedi                 0.18.1
    Jinja2               3.0.3
    joblib               1.1.0
    json5                0.9.6
    jsonschema           4.3.2
    jupyter-client       7.1.0
    jupyter-core         4.9.1
    jupyter-packaging    0.11.1
    jupyter-server       1.13.1
    jupyterlab           3.2.5
    jupyterlab-pygments  0.1.2
    jupyterlab-server    2.10.1
    jupyterlab-widgets   1.0.2
    kiwisolver           1.3.2
    loguru               0.5.3
    MarkupSafe           2.0.1
    matplotlib           3.5.1
    matplotlib-inline    0.1.3
    mistune              0.8.4
    nbclassic            0.3.4
    nbclient             0.5.9
    nbconvert            6.3.0
    nbformat             5.1.3
    nest-asyncio         1.5.4
    notebook             6.4.6
    numpy                1.21.5
    open3d               0.14.1
    packaging            21.3
    pandas               1.3.5
    pandocfilters        1.5.0
    parso                0.8.3
    pexpect              4.8.0
    pickleshare          0.7.5
    Pillow               8.4.0
    pip                  21.2.4
    prometheus-client    0.12.0
    prompt-toolkit       3.0.24
    ptyprocess           0.7.0
    pycparser            2.21
    Pygments             2.10.0
    pyparsing            3.0.6
    pyrsistent           0.18.0
    python-dateutil      2.8.2
    pytz                 2021.3
    PyYAML               6.0
    pyzmq                22.3.0
    requests             2.26.0
    scikit-learn         1.0.2
    scipy                1.7.3
    Send2Trash           1.8.0
    setuptools           58.0.4
    six                  1.16.0
    smplx                0.1.28
    sniffio              1.2.0
    terminado            0.12.1
    testpath             0.5.0
    threadpoolctl        3.0.0
    toml                 0.10.2
    tomlkit              0.8.0
    torch                1.10.1
    tornado              6.1
    tqdm                 4.62.3
    traitlets            5.1.1
    typing_extensions    4.0.1
    urllib3              1.26.7
    wcwidth              0.2.5
    webencodings         0.5.1
    websocket-client     1.2.3
    wheel                0.37.0
    widgetsnbextension   3.5.2
    opened by AndyVerne 2
  • Installation error -- no matching distribution found for open3d

    Installation error -- no matching distribution found for open3d

    Running through the installation instructions yields an error in my WSL env:

    (test) [email protected]:~/body-model-visualizer# pip install -r requirements.txt
    Collecting ipdb==0.13.9
      Using cached ipdb-0.13.9.tar.gz (16 kB)
    Collecting joblib==1.1.0
      Using cached joblib-1.1.0-py2.py3-none-any.whl (306 kB)
    Collecting loguru==0.5.3
      Using cached loguru-0.5.3-py3-none-any.whl (57 kB)
    Collecting matplotlib==3.5.1
      Using cached matplotlib-3.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (11.3 MB)
    Collecting numpy==1.21.5
      Using cached numpy-1.21.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)
    ERROR: Could not find a version that satisfies the requirement open3d==0.14.1 (from -r requirements.txt (line 6)) (from versions: 0.10.0.0, 0.11.0, 0.11.1, 0.11.2,0.12.0, 0.13.0)
    ERROR: No matching distribution found for open3d==0.14.1 (from -r requirements.txt (line 6))
    (test) [email protected]:~/body-model-visualizer# 
    

    I can manually run pip install open3d, but that installs version 0.13.0. I assume this has something to do with my janky WSL setup, but I've been trying to debug it for a while and have not had any luck yet. I'm wondering if this is a bug in your repo's latest version?

    opened by domattioli 0
  • How to use saved .pkl parameters file?

    How to use saved .pkl parameters file?

    I have modified the smpl model and saved the pkl file,but i not load it in SMPL code. `def ready_arguments(fname_or_dict):

    if not isinstance(fname_or_dict, dict):
        #dd = pickle.load(open(fname_or_dict))
        dd = pickle.load(open(fname_or_dict,"rb"),encoding='iso-8859-1')
    else:
        dd = fname_or_dict
        
    backwards_compatibility_replacements(dd) `
    

    UnpicklingError invalid load key, '\x27'. File "/home/lrd/data/lrd/body-model-visualizer-filer/SMPL_python_v.1.1.0/smpl/smpl_webuser/serialization.py", line 81, in ready_arguments dd = pickle.load(open(fname_or_dict,"rb"),encoding='iso-8859-1') File "/home/lrd/data/lrd/body-model-visualizer-filer/SMPL_python_v.1.1.0/smpl/smpl_webuser/serialization.py", line 117, in load_model dd = ready_arguments(fname_or_dict) File "/home/lrd/data/lrd/body-model-visualizer-filer/SMPL_python_v.1.1.0/smpl/smpl_webuser/hello_world/hello_smpl.py", line 48, in <module> m = load_model( '/home/lrd/data/lrd/body-model-visualizer-filer/abc.pkl' )

    sometimes,it is other error. I don't konw how to use this saved parameters.

    opened by LRuid 0
  • Not able to load the saved parameters

    Not able to load the saved parameters

    Hi,

    I successfully run the GUI, change the joint rotation, and saved the parameters. However, I cannot load the .pkl file.

    Tried using

    import pickle
    
    file_name = '../subject2_Tpose.pkl'
    
    with open(file_name, 'rb') as f:  
        subject2_Tpose = pickle.load(f)  
        
    

    and

    import torch
    
    subject2_Tpose = torch.load(file_name)
    

    Both return the same error:

    UnpicklingError: A load persistent id instruction was encountered,
    but no persistent_load function was specified.
    

    The torch version is the same as where I ran the main.py. Any solution for this?

    opened by SizheAn 0
  • How can I visualize my own smpl model?

    How can I visualize my own smpl model?

    I already have some smpl pkl file and I want to use this application to view the model. It seems the codes can only modify based on the original smpl model. Thank you so mush if you could help with this!

    opened by kkpetra 0
Releases(v0.1)
Owner
Muhammed Kocabas
Muhammed Kocabas
Function Plotter: a simple application with GUI to plot mathematical functions

Function-Plotter Function Plotter is a simple application with GUI to plot mathe

Mohamed Nabawe 4 Jan 03, 2022
Python library that makes it easy for data scientists to create charts.

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

Spotify 3.2k Jan 04, 2023
Chem: collection of mostly python code for molecular visualization, QM/MM, FEP, etc

chem: collection of mostly python code for molecular visualization, QM/MM, FEP,

5 Sep 02, 2022
A simple project on Data Visualization for CSCI-40 course.

Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20

Hugo Matousek 8 Oct 27, 2021
UNMAINTAINED! Renders beautiful SVG maps in Python.

Kartograph is not maintained anymore As you probably already guessed from the commit history in this repo, Kartograph.py is not maintained, which mean

1k Dec 09, 2022
Lime: Explaining the predictions of any machine learning classifier

lime This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predict

Marco Tulio Correia Ribeiro 10.3k Dec 29, 2022
Generate "Jupiter" plots for circular genomes

jupiter Generate "Jupiter" plots for circular genomes Description Python scripts to generate plots from ViennaRNA output. Written in "pidgin" python w

Robert Edgar 2 Nov 29, 2021
Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)

sky-python-music-sheet-maker This program lets you make visual music sheets for Sky: Children of the Light. It will ask you a few questions, and does

21 Aug 26, 2022
HiPlot makes understanding high dimensional data easy

HiPlot - High dimensional Interactive Plotting HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and

Facebook Research 2.4k Jan 04, 2023
Squidpy is a tool for the analysis and visualization of spatial molecular data.

Squidpy is a tool for the analysis and visualization of spatial molecular data. It builds on top of scanpy and anndata, from which it inherits modularity and scalability. It provides analysis tools t

Theis Lab 251 Dec 19, 2022
Simple and fast histogramming in Python accelerated with OpenMP.

pygram11 Simple and fast histogramming in Python accelerated with OpenMP with help from pybind11. pygram11 provides functions for very fast histogram

Doug Davis 28 Dec 14, 2022
Dipto Chakrabarty 7 Sep 06, 2022
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
Interactive plotting for Pandas using Vega-Lite

pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra

Altair 342 Oct 26, 2022
A Python-based non-fungible token (NFT) generator built using Samilla and Matplotlib

PyNFT A Pythonic NF (non-fungible token) generator built using Samilla and Matplotlib Use python pynft.py [amount] The intention behind this generato

Ayush Gundawar 6 Feb 07, 2022
Learn Data Science with focus on adding value with the most efficient tech stack.

DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter

Learn Python with Rune 110 Dec 22, 2022
Data parsing and validation using Python type hints

pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De

Samuel Colvin 12.1k Jan 06, 2023
kyle's vision of how datadog's python client should look

kyle's datadog python vision/proposal not for production use See examples/comprehensive.py for a mostly working example of the proposed API. 📈 🐶 ❤️

Kyle Verhoog 2 Nov 21, 2021
Create matplotlib visualizations from the command-line

MatplotCLI Create matplotlib visualizations from the command-line MatplotCLI is a simple utility to quickly create plots from the command-line, levera

Daniel Moura 46 Dec 16, 2022
GD-UltraHack - A Mod Menu for Geometry Dash. Specifically a MegahackV5 clone in Python. Only for Windows

GD UltraHack: The Mod Menu that Nobody asked for. This is a mod menu for the gam

zeo 1 Jan 05, 2022