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
Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner

streamlit-dashboards Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner Tutorial Video https://ww

122 Dec 21, 2022
ipyvizzu - Jupyter notebook integration of Vizzu

ipyvizzu - Jupyter notebook integration of Vizzu. Tutorial · Examples · Repository About The Project ipyvizzu is the Jupyter Notebook integration of V

Vizzu 729 Jan 08, 2023
A simple python tool for explore your object detection dataset

A simple tool for explore your object detection dataset. The goal of this library is to provide simple and intuitive visualizations from your dataset and automatically find the best parameters for ge

GRADIANT - Centro Tecnolóxico de Telecomunicacións de Galicia 142 Dec 25, 2022
NorthPitch is a python soccer plotting library that sits on top of Matplotlib

NorthPitch is a python soccer plotting library that sits on top of Matplotlib.

Devin Pleuler 30 Feb 22, 2022
Generate a roam research like Network Graph view from your Notion pages.

Notion Graph View Export Notion pages to a Roam Research like graph view.

Steve Sun 214 Jan 07, 2023
哔咔漫画window客户端,界面使用PySide2,已实现分类、搜索、收藏夹、下载、在线观看、waifu2x等功能。

picacomic-windows 哔咔漫画window客户端,界面使用PySide2,已实现分类、搜索、收藏夹、下载、在线观看等功能。 功能介绍 登陆分流,还原安卓端的三个分流入口 分类,搜索,排行,收藏夹使用同一的逻辑,滚轮下滑自动加载下一页,双击打开 漫画详情,章节列表和评论列表 下载功能,目

1.8k Dec 31, 2022
Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Jason Kraynak 1 Jan 07, 2022
Visualizations for machine learning datasets

Introduction The facets project contains two visualizations for understanding and analyzing machine learning datasets: Facets Overview and Facets Dive

PAIR code 7.1k Jan 07, 2023
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
:bowtie: Create a dashboard with python!

Installation | Documentation | Gitter Chat | Google Group Bowtie Introduction Bowtie is a library for writing dashboards in Python. No need to know we

Jacques Kvam 753 Dec 22, 2022
Yata is a fast, simple and easy Data Visulaization tool, running on python dash

Yata is a fast, simple and easy Data Visulaization tool, running on python dash. The main goal of Yata is to provide a easy way for persons with little programming knowledge to visualize their data e

Cybercreek 3 Jun 28, 2021
Simple Inkscape Scripting

Simple Inkscape Scripting Description In the Inkscape vector-drawing program, how would you go about drawing 100 diamonds, each with a random color an

Scott Pakin 140 Dec 27, 2022
Extensible, parallel implementations of t-SNE

openTSNE openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction al

Pavlin Poličar 1.1k Jan 03, 2023
Visualization of hidden layer activations of small multilayer perceptrons (MLPs)

MLP Hidden Layer Activation Visualization To gain some intuition about the internal representation of simple multi-layer perceptrons (MLPs) I trained

Andreas Köpf 7 Dec 30, 2022
A Python Library for Self Organizing Map (SOM)

SOMPY A Python Library for Self Organizing Map (SOM) As much as possible, the structure of SOM is similar to somtoolbox in Matlab. It has the followin

Vahid Moosavi 497 Dec 29, 2022
Backend app for visualizing CANedge log files in Grafana (directly from local disk or S3)

CANedge Grafana Backend - Visualize CAN/LIN Data in Dashboards This project enables easy dashboard visualization of log files from the CANedge CAN/LIN

13 Dec 15, 2022
An interactive dashboard built with python that enables you to visualise how rent prices differ across Sweden.

sweden-rent-dashboard An interactive dashboard built with python that enables you to visualise how rent prices differ across Sweden. The dashboard/web

Rory Crean 5 Dec 19, 2021
This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds

This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.

Nico Schlömer 205 Jan 07, 2023
Python module for drawing and rendering beautiful atoms and molecules using Blender.

Batoms is a Python package for editing and rendering atoms and molecules objects using blender. A Python interface that allows for automating workflows.

Xing Wang 1 Jul 06, 2022
Plotting data from the landroid and a raspberry pi zero to a influx-db

landroid-pi-influx Plotting data from the landroid and a raspberry pi zero to a influx-db Dependancies Hardware: Landroid WR130E Raspberry Pi Zero Wif

2 Oct 22, 2021