Omniverse sample scripts - A guide for developing with Python scripts on NVIDIA Ominverse

Overview

Omniverse sample scripts

ここでは、NVIDIA Omniverse ( https://www.nvidia.com/ja-jp/omniverse/ ) のスクリプトのサンプルを貯めていってます。
Omniverseは、データ構造としてUSDを使用してます。
3Dモデルやシーンのファイルへの保存、読み込みでUSDが使用されるだけでなく、
Omniverse CreateやOmniverse ViewなどのOmniverseアプリのビュー上の制御もUSDを介して行われます(形状の表示/非表示の切り替えや移動など)。

ここでは、OmniverseアプリであるOmniverse CreateのScript Editorで試せるスクリプトのサンプルを用途別に列挙します。
Omniverse Create 2021.3.8で確認しました。

開発の参考サイト

Omniverseの情報は、Omniverse Launcherがポータルになっています。
ここのLEARNにチュートリアル動画やドキュメントなどが列挙されています。

NVIDIA Omniverse Developer Resource Center

https://developer.nvidia.com/nvidia-omniverse-developer-resource-center

Omniverse開発の入口となるサイトです。
全体的に何ができて何が重要か、というのは俯瞰して見ることができます。

はじめに

Omniverse Createで、メインメニューの [Window] - [Script Editor]を選択して、Script Editorを起動します。

omniverse_script_editor_01.png

この中でPythonを使用してプログラムを書きます。
左下のRunボタンを押すか、[Ctrl] +[Enter]キーを押すことで実行します。

以下、Pythonの初歩的な説明です。

コメント

1行のコメントの場合、"#"から行の末尾までがコメントになります。

# comment.

複数行の場合は、""" から """ までがコメントになります。

"""
comment.
line2.
"""

print

デバッグ用のメッセージはprintで記載します。

print('Hello Omniverse !')

学習のための知識

機能説明用のサンプル

サンプル 説明
Camera カメラ操作
Geometry ジオメトリの作成
Material マテリアルの割り当て
Math ベクトル/行列計算関連
Operation Ominverseの操作情報を取得/イベント処理
Physics Physics(物理)処理
pip_archive Pythonのよく使われるモジュールの使用
Prim USDのPrim(ノード)の操作
Rendering レンダリング画像の取得
Scene シーン情報の取得
Settings 設定の取得
System システム関連情報の取得
UI UI操作

ツール的なサンプル

サンプル 説明
Samples サンプルスクリプト

Extension

サンプル 説明
Extensions サンプルExtension
Owner
ft-lab (Yutaka Yoshisaka)
ft-lab (Yutaka Yoshisaka)
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

TransFuser This repository contains the code for the CVPR 2021 paper Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. If you find our

695 Jan 05, 2023
PyTorch implementation of PP-LCNet

PP-LCNet-Pytorch Pre-Trained Models Google Drive p018 Accuracy Models Top1 Top5 PPLCNet_x0_25 0.5186 0.7565 PPLCNet_x0_35 0.5809 0.8083 PPLCNet_x0_5 0

24 Dec 12, 2022
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

DynaBOA Code repositoty for the paper: Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation Shanyan Guan, Jingwei Xu, Michell

197 Jan 07, 2023
Vanilla and Prototypical Networks with Random Weights for image classification on Omniglot and mini-ImageNet. Made with Python3.

vanilla-rw-protonets-project Vanilla Prototypical Networks and PNs with Random Weights for image classification on Omniglot and mini-ImageNet. Made wi

Giovani Candido 8 Aug 31, 2022
Repo for 2021 SDD assessment task 2, by Felix, Anna, and James.

SoftwareTask2 Repo for 2021 SDD assessment task 2, by Felix, Anna, and James. File/folder structure: helloworld.py - demonstrates various map backgrou

3 Dec 13, 2022
Independent and minimal implementations of some reinforcement learning algorithms using PyTorch (including PPO, A3C, A2C, ...).

PyTorch RL Minimal Implementations There are implementations of some reinforcement learning algorithms, whose characteristics are as follow: Less pack

Gemini Light 4 Dec 31, 2022
This is a yolo3 implemented via tensorflow 2.7

YoloV3 - an object detection algorithm implemented via TF 2.x source code In this article I assume you've already familiar with basic computer vision

2 Jan 17, 2022
Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.

Box_Discretization_Network This repository is built on the pytorch [maskrcnn_benchmark]. The method is the foundation of our ReCTs-competition method

Yuliang Liu 266 Nov 24, 2022
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

Inductive entity representations from text via link prediction This repository contains the code used for the experiments in the paper "Inductive enti

Daniel Daza 45 Jan 09, 2023
[ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction

REval Table of Contents Introduction Overview Requirements Installation Probing Usage Citation License 🎓 Introduction REval is a simple framework for

13 Jan 06, 2023
Advanced yabai wooting scripts

Yabai Wooting scripts Installation requirements Both https://github.com/xiamaz/python-yabai-client and https://github.com/xiamaz/python-wooting-rgb ne

Max Zhao 3 Dec 31, 2021
TabNet for fastai

TabNet for fastai This is an adaptation of TabNet (Attention-based network for tabular data) for fastai (=2.0) library. The original paper https://ar

Mikhail Grankin 116 Oct 21, 2022
The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A This project is the description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts. The FMFCC-A dataset is shared through BaiduCl

18 Dec 24, 2022
Rax is a Learning-to-Rank library written in JAX

🦖 Rax: Composable Learning to Rank using JAX Rax is a Learning-to-Rank library written in JAX. Rax provides off-the-shelf implementations of ranking

Google 247 Dec 27, 2022
Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Clockwork VAEs in JAX/Flax Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax, ported

Julius Kunze 26 Oct 05, 2022
TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1).

M1-tensorflow-benchmark TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1). I was initially testing if Tens

particle 2 Jan 05, 2022
Meta-meta-learning with evolution and plasticity

Evolve plastic networks to be able to automatically acquire novel cognitive (meta-learning) tasks

5 Jun 28, 2022
Solution to the Weather4cast 2021 challenge

This code was used for the entry by the team "antfugue" for the Weather4cast 2021 Challenge. Below, you can find the instructions for generating predi

Jussi Leinonen 13 Jan 03, 2023
Official Repository for the paper "Improving Baselines in the Wild".

iWildCam and FMoW baselines (WILDS) This repository was originally forked from the official repository of WILDS datasets (commit 7e103ed) For general

Kazuki Irie 3 Nov 24, 2022
RoMa: A lightweight library to deal with 3D rotations in PyTorch.

RoMa: A lightweight library to deal with 3D rotations in PyTorch. RoMa (which stands for Rotation Manipulation) provides differentiable mappings betwe

NAVER 90 Dec 27, 2022