Recipes¶
This repository currently contains the following recipes:
tf_gpu-opencv2-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial
tf_gpu-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial
tf_gpu-opencv2-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial
NVIDIA container recipes¶
tf_gpu-conda3-ros_kinetic-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
tf_gpu-opencv2-conda3-ros_kinetic-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
tf_gpu-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
tf_gpu-opencv2-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
tf_gpu-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
tf_gpu-opencv2-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial¶
This recipe sets up a UBUNTU 16.04 (xenial) container with the following packages installed in it:
Note
All of the above NVIDIA containers further contains an additional tf-gpu
python=3.7 conda environment which is automatically activated when you run the container.
You can disable this behaviour by adding a ~/.singularity_bashrc file containing
a conda deactivate command to your home folder.