kaolin | A PyTorch Library for Accelerating 3D Deep Learning Research | Machine Learning library

by NVIDIAGameWorks Python Version: 0.11.0 License: Apache-2.0

X-Ray Key Features Code Snippets(6)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | kaolin Summary

kaolin is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. kaolin has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install kaolin' or download it from GitHub, PyPI.

NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints and more. Kaolin library is part of a larger suite of tools for 3D deep learning research. For example, the Omniverse Kaolin App will allow interactive visualization of 3D checkpoints. To find out more about the Kaolin ecosystem, visit the NVIDIA Kaolin Dev Zone page.

Support

Quality

Security

License

Reuse

Support

kaolin has a medium active ecosystem.

It has 3755 star(s) with 508 fork(s). There are 109 watchers for this library.

It had no major release in the last 12 months.

There are 91 open issues and 292 have been closed. On average issues are closed in 296 days. There are 37 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kaolin is 0.11.0

Quality

kaolin has 0 bugs and 0 code smells.

Security

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

kaolin code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kaolin is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

kaolin releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

kaolin saves you 3613 person hours of effort in developing the same functionality from scratch.

It has 11788 lines of code, 856 functions and 114 files.

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

Top functions reviewed by kandi - BETA

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

Get flattened mesh attributes .
A naive version of deftet .
Create a usd preview surface .
Given a mesh and a list of points compute the mesh distance between them .
Subdivide a set of vertices .
Convert sdf to voxelgrids .
Imports meshes from a file .
Verify that the signature is valid .
Imports a synthetic view .
Convert voxelgrids to cubic meshes .

Get all kandi verified functions for this library.

kaolin Key Features

No Key Features are available at this moment for kaolin.

kaolin Examples and Code Snippets

Human Performance Capture from Monocular Video in the Wild,Quick Start

Python

Lines of Code : 19

License : Permissive (MIT)

Copy

git clone https://github.com/MoyGcc/hpcwild.git
cd  hpcwild
conda env create -f environment.yml
conda activate hpcwild

mkdir lib/smpl/smpl_model/
mv /path/to/smpl/models/basicModel_f_lbs_10_207_0_v1.0.0.pkl smpl_rendering/smpl_model/SMPL_FEMALE.pkl

Monocular 3D Object Reconstruction with GAN Inversion (ECCV 2022),Setup

Python

Lines of Code : 8

License : No License

Copy

conda env create -f env.yml
conda activate mesh_inv

- datasets
  - cub
    - CUB_200_2011
    - cache
    - predicted_mask
    - pseudogt_512x512

JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction,1. Environment configuration

Python

Lines of Code : 6

License : No License

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conda env create -f environment_JIFF.yaml
conda activate JIFF

pip install torch==1.10.0+cu102 torchvision==0.11.0+cu102 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
pip install torch-scatter==2.0.9 -f https://pytorch-geom

Scraping href using bs only returns the first link

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

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for content in all_ipo_content:
    if content.a:
    all_urls = [content.get("href") for content in content.find_all('a')]
    ipo_contents.append(all_urls)

Scraping href using bs only returns the first link

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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a = content.find('a', href=True);

a = content.find_all('a', href=True);

gcc 6.3 --> Fatal Python error: Py_Initialize: Unable to get the locale encoding ModuleNotFoundError: No module named 'encodings'

Python

Lines of Code : 8

License : Strong Copyleft (CC BY-SA 4.0)

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$ conda create -p /scratch3/3d_pose/kaolin_env python=3.6 numpy cython pytorch-gpu "matplotlib<3.0.0" scikit-image shapely "trimesh>=3.0" scipy sphinx "pytest>=4.6" "pytest-cov>=2.7" tqdm Cython autopep8 flake8

$ conda activat

Community Discussions

Trending Discussions on kaolin

Scraping href using bs only returns the first link

Swift 5 - Enum inside of enum

QUESTION

Scraping href using bs only returns the first link

Asked 2022-Feb-16 at 01:38

I'm trying to scrape a table using bs and on one of the columns, there can be more than one link or href, such as the below example.

...

ANSWER

Answered 2022-Feb-15 at 10:18

a = content.find('a', href=True);

Source https://stackoverflow.com/questions/71124561

QUESTION

Swift 5 - Enum inside of enum

Asked 2020-Jun-29 at 00:25

I'm trying to use enum to classify items. As such, I've ended up with having enums inside of enums. And I'm not entirely sure on how this whole enum thing works.

But what I want to do is tap into the enum MaterialClassification, and then if theres a second enum, like in case clay, tap into that enum's value to return it as a string.

...

ANSWER

Answered 2020-Jun-29 at 00:25

If I understand your question correctly, you want to access associated types' properties. You can add a new property to your MaterialClassification enum and use it to access your cases.

Something like this should work

Source https://stackoverflow.com/questions/62629552

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