jmp448/ebpilot:latest

$ singularity pull shub://jmp448/ebpilot:latest

Singularity Recipe

Bootstrap: docker
From: tensorflow/tensorflow:1.13.2-py3-jupyter

%environment
  # use bash as default shell
  SHELL=/bin/bash
  export SHELL

%setup
  # runs on host - the path to the image is $SINGULARITY_ROOTFS

%post
  # post-setup script

  # load environment variables
  . /environment

  # use bash as default shell
  echo 'SHELL=/bin/bash' >> /environment

  # make environment file executable
  chmod +x /environment

  # default mount paths
  mkdir /data 

  # additional packages
  apt-get update
  apt-get install -y python-tk
  apt-get install -y libsm6 libxext6
  pip install selenium
  pip install moviepy
  pip install lmdb
  pip install opencv-contrib-python
  pip install cryptography
  
  pip install gpflow==1.3.0

%runscript
  # executes with the singularity run command
  # delete this section to use existing docker ENTRYPOINT command

%test
  # test that script is a success

Collection


View on Datalad

Metrics

key value
id /containers/jmp448-ebpilot-latest
collection name jmp448/ebpilot
branch master
tag latest
commit 1c1a9ed89ea1c5855c5572266cc0d90e9897793f
version (container hash) 89a1f2e0262cc83756e845286ba9f1f1
build date 2020-06-23T17:12:08.222Z
size (MB) 1750.0
size (bytes) 753381407
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
We cannot guarantee that all containers will still exist on GitHub.