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NVIDIA
Isaac ML 3D Pose
Container
NVIDIA
NVIDIA
Isaac ML 3D Pose

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

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/entrypoint.sh
11/24/2020 9:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-10.0/lib64:/usr/local/cuda-10.0/extras/CUPTI/lib64
11/24/2020 9:48 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_DRIVER_CAPABILITIES=compute,graphics,utility,display,video
11/24/2020 9:48 AM UTC
sha256:e73220fe769c843894b7eafcab977cf455083bb184607e5912d7cb94823c5e84RUN
rm /usr/local/cuda-10.0/libnvvp/plugins/org.eclipse.jetty.server_8.1.14.v20131031.jar /usr/local/cuda-10.0/libnsight/plugins/org.eclipse.jetty.server_8.1.14.v20131031.jar
11/24/2020 9:48 AM UTC
sha256:2ee851c74f119f0970ee8774ad0b4404dcc3f2f83e3f60b8664eebd2eb62434aRUN
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/$CUDNN_RUN_PKG &&
  dpkg -i $CUDNN_RUN_PKG
11/24/2020 8:44 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDNN_RUN_PKG=libcudnn7_7.6.5.32-1+cuda10.0_amd64.deb
11/24/2020 8:44 AM UTC
sha256:6c352ec4d1ccf753fce59731db703cf798fcbd03a026af0bfaf223fbc9a43bd6RUN
rm /usr/local/cuda &&
  ln -s /usr/local/cuda-10.2 /usr/local/cuda
11/24/2020 8:44 AM UTC
sha256:f1f3eb603cd703b8b20ae19a2937a30acfb291da1d49057b3464060d6b48c8fbRUN
apt-get install -y --no-install-recommends cuda-toolkit-10-0
11/24/2020 8:44 AM UTC
sha256:90b6c22e4ff8a7c8dd361892097b3c3ffec8a9c064001c03450de1eb9ba9439eRUN
apt-get update &&
  apt-get install -y apt-transport-https ca-certificates curl gnupg-agent software-properties-common &&
  curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add - &&
  add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu     $(lsb_release -cs) stable" &&
  apt-get -y install docker-ce --no-install-recommends
11/24/2020 8:39 AM UTC
sha256:93e0460104c2ae4066d081733a13df5f060d724a68c914ca1e2184616490e184RUN
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
11/24/2020 8:38 AM UTC
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