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)
Prototype-based Incremental Few-Shot Semantic Segmentation

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A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.

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PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

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Rule Based Classification Project

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YouRefIt: Embodied Reference Understanding with Language and Gesture

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16 Jul 11, 2022
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Xinyi Ying 28 Dec 15, 2022
:fire: 2D and 3D Face alignment library build using pytorch

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It is modified Tensorflow 2.x version of Mask R-CNN

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8 Jan 07, 2023
A model which classifies reviews as positive or negative.

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Seq2seq - Sequence to Sequence Learning with Keras

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Official pytorch code for SSC-GAN: Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation(ICCV 2021)

SSC-GAN_repo Pytorch implementation for 'Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation'.PDF SSC-GAN:Sem

tyty 4 Aug 28, 2022
Official implementation of VQ-Diffusion

Vector Quantized Diffusion Model for Text-to-Image Synthesis Overview This is the official repo for the paper: [Vector Quantized Diffusion Model for T

Microsoft 592 Jan 03, 2023
Perform zero-order Hankel Transform for an 1D array (float or real valued).

perform zero-order Hankel Transform for an 1D array (float or real valued). An discrete form of Parseval theorem is guaranteed. Suit for iterative problems.

1 Jan 17, 2022
This is just a funny project that we want to see AutoEncoder (AE) can actually work to enhance the features we want

Funny_muscle_enhancer :) 1.Discription: This is just a funny project that we want to see AutoEncoder (AE) can actually work on the some features. We w

Jing-Yao Chen (Jacob) 8 Oct 01, 2022
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition, TPAMI 2021

DVG-Face: Dual Variational Generation for HFR This repo is a PyTorch implementation of DVG-Face: Dual Variational Generation for Heterogeneous Face Re

52 Dec 30, 2022
Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface.

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Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

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Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

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