.. _recipes:

Recipes
==========================

This repository currently contains the following recipes:

-   `tf_gpu-conda3-ros_kinetic-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-conda3-ros_kinetic-moveit-cuda10-xenial>`_
-   `tf_gpu-opencv2-conda3-ros_kinetic-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-conda3-ros_kinetic-moveit-cuda10-xenial>`_
-   `tf_gpu-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial>`_
-   `tf_gpu-opencv2-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial>`_
-   `tf_gpu-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial>`_
-   `tf_gpu-opencv2-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial <https://github.com/rickstaa/deep-robotics-singularity-recipes/blob/master/Singularity.tf_gpu-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) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `moveit <https://moveit.ros.org/>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

tf_gpu-opencv2-conda3-ros_kinetic-moveit-cuda10-xenial
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This recipe sets up a `UBUNTU 16.04 (xenial) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `moveit <https://moveit.ros.org/>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Opencv2 <https://github.com/opencv/opencv>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

tf_gpu-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This recipe sets up a `UBUNTU 16.04 (xenial) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `libfranka <https://frankaemika.github.io/docs/libfranka.html>`_
-   `moveit <https://moveit.ros.org/>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

tf_gpu-opencv2-conda3-ros_kinetic-libfranka-moveit-cuda10-xenial
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This recipe sets up a `UBUNTU 16.04 (xenial) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `libfranka <https://frankaemika.github.io/docs/libfranka.html>`_
-   `moveit <https://moveit.ros.org/>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Opencv2 <https://github.com/opencv/opencv>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

tf_gpu-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This recipe sets up a `UBUNTU 16.04 (xenial) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `libfranka <https://frankaemika.github.io/docs/libfranka.html>`_
-   `moveit <https://moveit.ros.org/>`_
-   `libfreenect2 <https://github.com/OpenKinect/libfreenect2>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

tf_gpu-opencv2-conda3-libfreenect2-ros_kinetic-libfranka-moveit-cuda10-xenial
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This recipe sets up a `UBUNTU 16.04 (xenial) <https://wiki.ubuntu.com/XenialXerus>`_ container
with the following packages installed in it:

-   `ROS kinetic <https://wiki.ros.org/kinetic>`_
-   `libfranka <https://frankaemika.github.io/docs/libfranka.html>`_
-   `moveit <https://moveit.ros.org/>`_
-   `libfreenect2 <https://github.com/OpenKinect/libfreenect2>`_
-   `Latest stable tensorflow GPU release <https://www.tensorflow.org>`_
-   `Opencv2 <https://github.com/opencv/opencv>`_
-   `Miniconda3 <https://docs.conda.io/en/latest/miniconda.html>`_
-   `Cuda 10 <https://developer.nvidia.com/cuda-downloads>`_
-   `Cudnn 7 <https://developer.nvidia.com/cudnn>`_

.. 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.

AMD container recipes
------------------------------

This repository does not yet contain `AMD <https://www.amd.com/en>`_ containers.