smplx | SMPL-X | 3D Animation library

by vchoutas Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | smplx Summary

smplx is a Python library typically used in User Interface, 3D Animation applications. smplx has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However smplx has a Non-SPDX License. You can download it from GitHub.

Software Copyright License for non-commercial scientific research purposes. Please read carefully the terms and conditions and any accompanying documentation before you download and/or use the SMPL-X/SMPLify-X model, data and software, (the "Model & Software"), including 3D meshes, blend weights, blend shapes, textures, software, scripts, and animations. By downloading and/or using the Model & Software (including downloading, cloning, installing, and any other use of this github repository), you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Model & Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License.

Support

Quality

Security

License

Reuse

Support

smplx has a medium active ecosystem.

It has 1206 star(s) with 260 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 68 open issues and 82 have been closed. On average issues are closed in 98 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of smplx is current.

Quality

smplx has 0 bugs and 0 code smells.

Security

smplx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

smplx code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

smplx has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

smplx releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

smplx saves you 1597 person hours of effort in developing the same functionality from scratch.

It has 3660 lines of code, 122 functions and 46 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed smplx and discovered the below as its top functions. This is intended to give you an instant insight into smplx implemented functionality, and help decide if they suit your requirements.

Generate a Tensor output
Find the indexes of the dynamic lmk faces and joints
Generate Bx3 transformation matrix
Blends shape displacement
Forward computation
Run a fitting function
Apply transformation to vertices
R Return the vertices per edge
Build a loss module
Forward transformation
Generate a FAMOutputation
Generate the SMPLH output
Generate an SMPL output
Create a SMPL output
Generate SMPLH output
Build a layer
Create a MANOOutputput transform
Convenience constructor for MANOOutputation
Merge two models
Merge betas
Reads the deformation transfer matrix
Build data loader
Parse command line arguments
Compute the distance between two vertices
Clean a pickle file
Convert a NumPy array into a 3d mesh

Get all kandi verified functions for this library.

smplx Key Features

No Key Features are available at this moment for smplx.

smplx Examples and Code Snippets

CLIPMesh-SMPLX,Setup

Python

Lines of Code : 42

License : Permissive (MIT)

Copy

git clone --recurse-submodules git@github.com:NasirKhalid24/CLIPMesh-SMPLX.git
cd CLIPMesh-SMPLX

# or manually unzip so the .npz files are in the folder as shown below
unzip /models/smplx/smplx_npz.zip -d /models/smplx   

pip install virtualenv
vir

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics (CVPR 2021),SMPLx Plug-in Demo

Lines of Code : 12

License : Non-SPDX (NOASSERTION)

Copy

## Flag definitions:
## -- checkpoint: path to saved pretrained model
## --data_dir:  directory where all of the `*_prediction_result.pkl` files are saved
## --tag (optional) naming prefix for saving results

## to run on output smplx files from fran

smplify-x_in_docker,运行

C++

Lines of Code : 5

License : No License

Copy

git clone https://github.com/wells-wei-wei/smplify-x_in_docker
cd smplify-x_in_docker

docker build -t smplx/smplify-x:v1 .

docker run -it --runtime=nvidia -P smplx/smplify-x:v1

python3 smplifyx/easy_run.py

Community Discussions

Trending Discussions on smplx

raise TypeError("Invalid comparison of non-real %s" % me) in sympy

RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported

pip install -r requirements.txt throws an error when using venv instead of anaconda python

The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

QUESTION

raise TypeError("Invalid comparison of non-real %s" % me) in sympy

Asked 2021-Jun-04 at 16:19

I am getting this sympy related comparison error. Do you know how I can fix it? It doesn't seem that authors in the original repo are facing it. I see that for one of the pkl files, namely 001.pkl, the y2d is imaginary (not sure why), and is equal to 1.05147176800692e-6 + 3.72470439655723*I.

I am running this code: https://github.com/DirtyHarryLYL/DJ-RN/blob/master/script/generate_3D_obj_GT.py

...

ANSWER

Answered 2021-Jun-04 at 16:19

The root problem is that "y2d is imaginary"; SymPy is just alerting you to the fact by refusing to try do a comparison that involves a number with non-zero imaginary part. Only real numbers can be used in comparison in SymPy. (By raising the error it is letting you know that your data set has a problem.)

Source https://stackoverflow.com/questions/67831526

QUESTION

RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported

Asked 2021-Jan-08 at 22:44

I am using this github repo: https://github.com/vchoutas/smplify-x and I am running a script. I get the following error. How can I fix it? I understand I might have to convert - to ~ however not sure where it exactly is. I don't want to downgrade my PyTorch.

...

ANSWER

Answered 2021-Jan-08 at 22:44

$ vi /home/mona/venv/smplifyx/lib/python3.6/site-packages/torchgeometry/core/conversions.py

Source https://stackoverflow.com/questions/65637222

QUESTION

pip install -r requirements.txt throws an error when using venv instead of anaconda python

Asked 2021-Jan-07 at 00:02

when I use anaconda python I can install this requirements.txt with no problem using pip install -r requirements.txt however, when I use venv, I get this error. Do you know how I can fix it? https://pastebin.com/raw/9eUc7H9x

...

ANSWER

Answered 2021-Jan-07 at 00:02

$ pip install pip --upgrade


$ pip install setuptools --upgrade

Source https://stackoverflow.com/questions/65604750

QUESTION

The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

Asked 2020-Dec-10 at 00:17

I am trying to install a package VIBE from a git repo and inistally I was installing its dependencies. The code is located here: https://github.com/mkocabas/VIBE how should I fix this?

Here's the error I got:

...

ANSWER

Answered 2020-Dec-10 at 00:17

The key here is this:

Source https://stackoverflow.com/questions/65226693

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install smplx

To install the model please follow the next steps in the specified order:.
To install from PyPi simply run:
Clone this repository and install it using the setup.py script:

Support

The code of this repository was implemented by Vassilis Choutas. For questions, please contact smplx@tue.mpg.de. For commercial licensing (and all related questions for business applications), please contact ps-licensing@tue.mpg.de.

Find more information at: