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Isaac Sim ML Training

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Description

Isaac SIM ML Training Workflow - Object Detection - this is a Docker container to help Robotics ML engineers to use Isaac Sim to generate synthetic images to train an object detection DNN (included with Isaac SDK) with NVIDIA's Transfer Learning Toolkit. It helps robotics development by accelerating Object Detection network training using Isaac Sim and Transfer Learning Toolkit. And, 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.

Publisher

NVIDIA

Latest Tag

2020.1

Modified

August 11, 2022

Compressed Size

16.45 GB

Multinode Support

No

Multi-Arch Support

No

2020.1 (Latest) Scan Results

Linux / amd64

What is Isaac SIM ML Training Workflow - Object Detection -

This is a Docker container to help Robotics ML engineers to use Isaac Sim to generate synthetic images and train an object detection DNN (included with Isaac SDK) with NVIDIA's Transfer Learning Toolkit. It helps robotics development by accelerating Object Detection network training using Isaac Sim and Transfer Learning Toolkit. And, it is targeted at Robotics App Developer and ML Engineer.

Documentation

Learn more from ISAAC Documentation Guide

Hardware Requirement

Required HW is NVIDIA DGX Station i.e. V100 is preferred; but any CUDA capable GPU will do.

End User License Agreement

Check your ISAAC License

Technical Support:

Reach us at ISAAC Developer Forum