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
NVIDIALatest Tag
2020.1Modified
April 4, 2023Compressed Size
16.45 GBMultinode Support
NoMulti-Arch Support
No2020.1 (Latest) Security 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