smplify-x | Expressive Body Capture : 3D Hands | 3D Animation library

by vchoutas Python Version: v0.1 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | smplify-x Summary

smplify-x is a Python library typically used in User Interface, 3D Animation applications. smplify-x has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However smplify-x 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

smplify-x has a medium active ecosystem.

It has 1374 star(s) with 303 fork(s). There are 62 watchers for this library.

It had no major release in the last 6 months.

There are 57 open issues and 131 have been closed. On average issues are closed in 33 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of smplify-x is v0.1

Quality

smplify-x has 0 bugs and 0 code smells.

Security

smplify-x has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

smplify-x code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

smplify-x 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

smplify-x 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Fit a single frame
Creates a fitting closure
Update the mesh
Creates a mesh
Parse command line options
Creates a prior
Get weights for the optimization
Calculate the log likelihood of a given pose
Calculates the log - likelihood of the gaussian distribution
Calculate the log - likelihood
Convert model to Openpose format
Convert a model to openpose
Create a new camera
Create a dataset

Get all kandi verified functions for this library.

smplify-x Key Features

No Key Features are available at this moment for smplify-x.

smplify-x Examples and Code Snippets

MvSMPLfitting,Reference

Python

Lines of Code : 13

License : Permissive (MIT)

Copy

@inproceedings{zhang2020object,
  title={Object-Occluded Human Shape and Pose Estimation From a Single Color Image},
  author={Zhang, Tianshu and Huang, Buzhen and Wang, Yangang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision

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

MvSMPLfitting,Collision term

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

cd sdf
python setup.py install

Community Discussions

Trending Discussions on smplify-x

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

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

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

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

Vulnerabilities

No vulnerabilities reported

Install smplify-x

You can download it from GitHub.
You can use smplify-x like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

The code of this repository was implemented by Vassilis Choutas and Georgios Pavlakos. 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.

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