jshede32/Singularity:yolo
$ singularity pull shub://jshede32/Singularity:yolo
Singularity Recipe
Bootstrap: docker
From: caffe2/caffe2:snapshot-py2-cuda9.0-cudnn7-ubuntu16.04
%labels
MAINTAINER Jacob Shedenhelm jshede@iastate.edu
%post
sudo apt-get install python-opencv
echo "Cloning Darknet"
git clone https://github.com/pjreddie/darknet
cd darknet
# update darknet makefile to use correct specifications
sed -i 's/CUDNN_HALF=0/CUDNN_HALF=1/1' Makefile
sed -i 's/GPU=0/GPU=1/1' Makefile
sed -i 's/OPENCV=0/OPENCV=1/1' Makefile
sed -i 's/CUDNN=0/CUDNN=1/1' Makefile
sed -i 's/DEBUG=0/DEBUG=1/1' Makefile
sed -i 's/OPENMP=0/OPENMP=1/1' Makefile
make
cd ..
echo "Deleting the example output images darknet provides"
chmod 777 output_images
rm -rf output_images
Collection
- Name: jshede32/Singularity
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/jshede32-Singularity-yolo |
collection name | jshede32/Singularity |
branch | master |
tag | yolo |
commit | 726b5db20498fab3734c6694d18e3d84d87bbe7d |
version (container hash) | 3c29136da02941209736d414717a363a |
build date | 2019-01-26T22:48:03.223Z |
size (MB) | 3736 |
size (bytes) | 1778446367 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
Feedback
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.