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Isaac Sim ML Training
Container
NVIDIA
Isaac Sim ML Training

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.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/entrypoint.sh
05/27/2020 5:59 AM UTC
sha256:b8856cd4e5b8ea3672dbb4e93c8f732130c8eee44ba40c0d2a4b7fc6d12de81fCOPY
file:f7e394fe9857b2400b10dbdfd70691fb905b1c80d94d89fd7ea567865be0b0e7 in /entrypoint.sh
05/27/2020 5:59 AM UTC
sha256:76007c1304ddc3f21f685871aabd54c9d8d98d9c5fbea79b6b246219a9cf8330RUN
rm -rf /tutorial/.cache/bazel/_bazel_root/*/external/uwebsockets
05/27/2020 5:59 AM UTC
sha256:e81dea0e9baae581a577f8fa35d5cb77af92dfab029c60ada70596936382fcbeRUN
rm -rf /tutorial/.cache/bazel/_bazel_root/*/external/boost
05/27/2020 5:59 AM UTC
sha256:1b9ef68fe84b8147e2c7459ae4a346a3548e7454ddbd5f4057a6eb943abe1b24RUN
cd /isaac &&
  EUID=1000 HOME=/workspace bazel build packages/detect_net/apps:detect_net_inference_app &&
  mv /workspace/.cache /tutorial/ &&
  chmod -R ugo+rx /tutorial/.cache &&
  rm -rf /isaac
05/27/2020 5:58 AM UTC
sha256:5bd69f97b7fccbe946841aaaf2b33b967139b390050e6f7ea09ca6a1525642d8COPY
file:5e64b419c1142f3c61791a0a709ffbfe2d57a7ecb57e781db7d95876fc85b960 in /user-start-script.sh
05/27/2020 5:45 AM UTC
sha256:82b09daffe06a4cf480acb443052d17d36f03a09e66dc9b1f3a4e4470fd6cc1cCOPY
dir:a1e1140f3b85156f021cd698417a0d72f36058278103e1c7bb45e28187315372 in /tutorial/
05/27/2020 5:45 AM UTC
sha256:babc8e404689b3604f41c5a0ac82ad24adfaf9f9bb1eeab0c599f7981ac31ab6RUN
for i in `ls -d /isaac-sim-unity3d/*_Data`; do chmod -R g+w $i/StreamingAssets/navsim-pkg/engine/alice/c_api ; rm -rf $i/StreamingAssets/Models; ln -s /workspace/models $i/StreamingAssets/Models; done
05/27/2020 5:45 AM UTC
sha256:bc748f06a448ee8518bf2b3917f92740928526e691847cd0a2461075021ae692RUN
chown -R root:root /isaac-sim-unity3d
05/27/2020 5:45 AM UTC
sha256:f91ddb511c0789208c10998163ff98851853ceea617995277a86ff5e4bc03300RUN
mkdir /isaac-sim-unity3d &&
  mv /isaac-sim-unity3d-tmp/builds/docker* /isaac-sim-unity3d-tmp/builds/*.so /isaac-sim-unity3d &&
  rm -rf /isaac-sim-unity3d-tmp
05/27/2020 5:45 AM UTC
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