Assets should be exported in Z-up orientation. Some 3D software applications use Y-up as its default modeling orientation. Maya is one example. When creating 3D assets in an application where an axis other than Z is up, be sure to choose Z-up as the coordinate system when exporting the 3D asset.
The glass should be modeled with the same thickness it has in the physical object. Glass surfaces can share UV space with other non-glass materials. Do not model glass as non-manifold geometry.
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Hi, I set up Nucleus server. and my USD files are in :34080/omniverse://localhost/Projects/ Robot.usd.and I connected the same in USD connector in Flexsim, added usd stage to model and imported same usd file here. and connected both USD composer and Flexsim to same omniverse server(Join).
After adding Processor to usd stage run the model its not updating in USD composer. and in other situation. in Omniverse model tree at right side window. it was showing boxes adding in to Queue tree in model tree. And some times either Flexsim will close or Omniverse will close.
I was trying to use new omniverse functionality on an existing model, but the only way that I've found to include objects on the USD Stage is creating them after de USD Stage. I've tried to move all objects into USD Stage treenode, but it's now working when I save the USD Stage.
The Move into Highlighted button on the Edit Selected Objects window calls transfernode() to change the tree structure of the model. This doesn't fire the OnReceive of the USD Stage object that creates the simulation object/prim associations when the USD Stage object is already connected to a usd stage. See the video below.
Industrial leader Siemens is accelerating development of defect detection models with 3D synthetic data generation from NVIDIA Omniverse, the latest manufacturing gains to emerge from an extended partnership for the industrial metaverse that aims to advance digital twins.
Once data is generated with Replicator, it can be run through a defect detection model for initial training. This enables GWE engineers to quickly test and iterate on models, requiring only a small set of data to begin.
High resolution street-level photogrammetry model of Melbourne Town Hall (0.6cm) rendered in Omniverse with real time ray tracing. The photogrammetry model was generated from street-level and aerial images by Aerometrex.
Companies across all industries are beginning to harness the power of simulation to develop new products, enhance customer experience, and unlock operational efficiencies. Digital twins, connected models and simulations of industrial assets, processes, and environments, are key to this process.
Connected to NVIDIA Omniverse, the solution allows users to create data center digital twins that enable teams to plan, test, and validate every aspect of high-performance data centers before the physical data center is built. These 3D models are connected to real-time data and accurately present multiple real-world physics, including mechanical, thermal, fluid dynamics, and more, to optimize data center design and operations. NVIDIA used DataCenter Digital Twin software to help model its latest AI supercomputer and has since facilitated the use of this software within the NVIDIA Omniverse environment. The software uses physics-based simulation, powered by computational fluid dynamics (CFD), to model complex thermals and cooling.
Hi,
I have a custom object detection deep learning model and a custom pose detection deep learning model. How can I implement the models in Isaac Sim? All I want is the camera feed from the robot and input that into the custom models. There is a lot of documentation about implementing deep reinforcement learning models but not other deep learning models. What should I do?
In this blog, you will learn how to create a 3D asset for a digital twin from an Autodesk Revit file using the NVIDIA Omniverse platform and AWS IoT TwinMaker. The tutorial in this blog converts the Autodesk Revit format to OpenUSD for processing in Omniverse. When satisfied with your model, you will export it to the glTF format and upload it to AWS IoT TwinMaker.
The architecture below illustrates how a model conversion pipeline can be created with NVIDIA Omniverse to convert your Autodesk Revit file into a glTF model via OpenUSD. You will execute the step-by-step guide in this blog to complete the model conversion.
In this blog, you successfully converted an Autodesk Revit BIM file to the glTF format and imported it into AWS IoT TwinMaker. This solution allows manufacturing and AECO customers to use BIM models to build digital twins and enables 3D visualizations to be optimized for reliable monitoring of building scale workflows. A digital twin can now be built with 3D detail for the mechanical, electrical, and plumbing (MEP) systems of a building, as designed in Autodesk Revit. To fully monitor your digital twin, create entities and components with live data of your building and attach this data to your 3D model in an AWS IoT TwinMaker scene.
NVIDIA Omniverse has efficiently organized 3D model information (materials, geometry, lights, etc.) to provide a fast export experience and decrease model size. For larger designs you can look into the Omniverse scene optimizer tools. If your output is still larger than 100MB, consider using Cesium Ion to convert to 3D Tiles for faster streaming of the model. The conversion process in this blog is similar for other BIM tools with Omniverse Connectors to Sketchup, Archicad, and Rhino. For getting started with Omniverse and AWS IoT TwinMaker, visit the page on getting started with Omniverse and review how to get started with AWS IoT TwinMaker.
To enable these highly complex industrial and perception AI workloads, NVIDIA is developing NVIDIA Omniverse, the OpenUSD-native software platform for developing applications, as well as technologies that include geospatial data models, metrics assembly and simulation-ready, or SimReady, specifications for OpenUSD.
NVIDIA is also developing a structure for new SimReady 3D models. These will include true-to-reality material and physical properties, which are critical to accurately training autonomous robots and vehicles. For example, an autonomous robot tasked with sorting packages needs to be trained in simulation on 3D packages that move and react to physical contact just as they would in the real world.
We are collaborating with NVIDIA to extend the capabilities of Alpha3D to the NVIDIA Omniverse platform. The Alpha3D extension for Omniverse provides a new level of convenience and efficiency for 3D model generation, speeding up the workflows of designers, artists, and developers.
Alpha3D is a generative AI-powered platform that transforms 2D images or text prompts into 3D models in a matter of minutes. It democratizes the process of creating 3D content for augmented reality, virtual reality, and immersive virtual experiences, making it faster, cheaper, and easier than ever before.
The Alpha3D extension for Omniverse streamlines the 3D model generation process by integrating Alpha3D directly into the Omniverse platform. With this extension, designers, artists, and developers can import their 3D assets from Alpha3D directly into their USD-based workflows and applications, taking advantage of a host of unique benefits, including:
Creating 3D content for augmented reality (AR) projects is a costly and time-consuming process. With Alpha3D, you can generate 3D models from text or 2D images quick and easy. Sign up and generate your first 50 3D models for free.
This is the first iteration of the Connector. We are still exploring the possible UX, given the large and complex ecosystem of Omniverse. Our main use case for this release is to take a Revit BIM model and provide an urban context for it.
Reasons: I paint using Substance Painter but at the same time I make changes in my Rhino model. And probably this synchronization in realtime let me make more editions. Unreal and Unity now accept Pixar USD
According to the company, some of the new customers that are using Omniverse include: Mercedes Benz, and prominent architect and designer Zaha Hadid. In Germany, Mercedes Benz is planning on creating a digital twin of its car factory, which will be used to create a real-world model of the facility.
While the company is primarily focused on selling its GPU chips, it also uses the software to help companies create 3D models and exchange them with other companies. This open-source standard, which was developed by Pixar, enables companies to run their assets on various hardware. In addition, the company has launched Omniverse Cloud, which allows users to access the platform from over a hundred countries.
The new capabilities of Omniverse Enterprise can be used by designers, engineers, and artists to break down 3D data silos and create synthetic 3D models. They can also build custom pipelines and manage their data efficiently.
MetaHuman, a technology developed by Epic Games, was able to create high-fidelity digital humans that were incredibly realistic. Through the partnership between the company and Omniverse, users will now be able to create even more engaging 3D models through the Omniverse ACE platform.
Digital twins are highly sophisticated virtual representations of real-world objects, systems, or processes, for the purpose of creating a digital replica of a physical entity by incorporating real-time data from sensors and using analytical models to simulate behavior.
Both Unity and USD support the concepts of materials, textures, shaders, and 3D skinned meshes. This concepts are somewhat consistent as they are part of the definition of 3D models. Note that Unity shaders cannot all be automatically converted to Omniverse shaders, but the simple projects I have brought across so far using the Omniverse connector for Unity look pretty good. It is the fancier custom shaders for special effects like drops of water on glass that are problematic. e24fc04721
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