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
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 01, 2023
Tidy data structures, summaries, and visualisations for missing data

naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot

Nicholas Tierney 611 Dec 22, 2022
Eulera Dashboard is an easy and intuitive way to get a quick feel of what’s happening on the world’s market.

an easy and intuitive way to get a quick feel of what’s happening on the world’s market ! Eulera dashboard is a tool allows you to monitor historical

Salah Eddine LABIAD 4 Nov 25, 2022
By default, networkx has problems with drawing self-loops in graphs.

By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to

Vladimir Shitov 5 Jan 06, 2022
Streamlit-template - A streamlit app template based on streamlit-option-menu

streamlit-template A streamlit app template for geospatial applications based on

Qiusheng Wu 41 Dec 10, 2022
Turn a STAC catalog into a dask-based xarray

StackSTAC Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common grid. The array is a lazy

Gabe Joseph 148 Dec 19, 2022
Interactive chemical viewer for 2D structures of small molecules

👀 mols2grid mols2grid is an interactive chemical viewer for 2D structures of small molecules, based on RDKit. ➡️ Try the demo notebook on Google Cola

Cédric Bouysset 154 Dec 26, 2022
CLAHE Contrast Limited Adaptive Histogram Equalization

A simple code to process images using contrast limited adaptive histogram equalization. Image processing is becoming a major part of data processig.

Happy N. Monday 4 May 18, 2022
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

AutoViz Automatically Visualize any dataset, any size with a single line of code. AutoViz performs automatic visualization of any dataset with one lin

AutoViz and Auto_ViML 1k Jan 02, 2023
Visualization of the World Religion Data dataset by Correlates of War Project.

World Religion Data Visualization Visualization of the World Religion Data dataset by Correlates of War Project. Mostly personal project to famirializ

Emile Bangma 1 Oct 15, 2022
Create a table with row explanations, column headers, using matplotlib

Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap.

4 Aug 14, 2022
Python Package for CanvasXpress JS Visualization Tools

CanvasXpress Python Library About CanvasXpress for Python CanvasXpress was developed as the core visualization component for bioinformatics and system

Dr. Todd C. Brett 5 Nov 07, 2022
Movies-chart - A CLI app gets the top 250 movies of all time from imdb.com and the top 100 movies from rottentomatoes.com

movies-chart This CLI app gets the top 250 movies of all time from imdb.com and

3 Feb 17, 2022
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
DrawBot lets you draw images taken from the internet on Skribbl.io, Gartic Phone and Paint

DrawBot You don't speak french? No worries, english translation is over here. C'est quoi ? DrawBot est un logiciel codé par V2F qui va prendre possess

V2F 205 Jan 01, 2023
I'm doing Genuary, an aritifiacilly generated month to build code that make beautiful things

Genuary 2022 I'm doing Genuary, an aritifiacilly generated month to build code that make beautiful things. Every day there is a new prompt for making

Joaquín Feltes 1 Jan 10, 2022
PyFlow is a general purpose visual scripting framework for python

PyFlow is a general purpose visual scripting framework for python. State Base structure of program implemented, such things as packages disco

1.8k Jan 07, 2023
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
Small U-Net for vehicle detection

Small U-Net for vehicle detection Vivek Yadav, PhD Overview In this repository , we will go over using U-net for detecting vehicles in a video stream

Vivek Yadav 91 Nov 03, 2022
A declarative (epi)genomics visualization library for Python

gos is a declarative (epi)genomics visualization library for Python. It is built on top of the Gosling JSON specification, providing a simplified interface for authoring interactive genomic visualiza

Gosling 107 Dec 14, 2022