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Isaac ML 3D Pose

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Description

Isaac SIM ML Training Workflow - Object 3D pose estimation - this is a Docker container to help Robotics ML engineers to use Isaac Sim to train object 3D pose estimation (included with Isaac SDK) using simulation data and test it in simulation as well as real world. It is targeted at Robotics App Developer and ML Engineer. Required HW is NVIDIA DGX Station i.e. V100 is preferred; but any CUDA capable GPU will do.Please add description

Publisher

NVIDIA

Latest Tag

2020.2

Modified

December 1, 2022

Compressed Size

16.2 GB

Multinode Support

No

Multi-Arch Support

No

2020.2 (Latest) Scan Results

Linux / amd64

What is 3D Object Pose Estimation Docker

3D Object Pose Estimation docker enable you to train pose estimation for any model completely in simulations, and to test and run the inference in simulations, as well as the real world. Also you can evaluate your model your model using evaluation workflow.

To learn more about the inner workings of pose_cnn_decoder in the Isaac SDK, you can consult the documentation:

Documentation

Learn more from ISAAC Documentation Guide

Hardware Requirement

NVIDIA Pascal GPU or newer. GTX 1080Ti and Titan V are the minimum recommended GPUs.

End User License Agreement

Check your ISAAC License

Technical Support:

Reach us at ISAAC Developer Forum