LiuBoss.Docker
Dockerfile and Dockerimg by Boss Liu.
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Images Dependencies
｜--liucb-py36-cuda90-base
｜--liucb-py36-cuda90-pycore
｜--liucb-py36-cuda90-torch041
Details
liucb-py36-cuda90-base
Basic environment. Based on nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04, add debian application for caffe compiler, and update python to version Python 3.6.11.
how to use
docker pull liuboss/pami:liucb-py36-cuda90-base
pip list
root@b269a03b5e32:/# pip list
Package Version
---------- ----------------------
pip 20.1.1
pycurl 7.43.0
pygobject 3.20.0
python-apt 1.1.0b1+ubuntu0.16.4.9
setuptools 20.7.0
wheel 0.29.0
liucb-py36-cuda90-pycore
Based on liucb-py36-cuda90-base, install core python packages except the deep learning tools.
how to use
docker pull liuboss/pami:liucb-py36-cuda90-pycore
pip list
root@2e2ab24784d2:/# pip list
Package Version
------------------- ----------------------
appdirs 1.4.4
attrs 19.3.0
backcall 0.2.0
bleach 3.1.5
certifi 2020.6.20
cffi 1.14.0
chardet 3.0.4
cycler 0.10.0
Cython 0.29.20
DateTime 4.3
decorator 4.4.2
deepdish 0.3.6
defusedxml 0.6.0
distlib 0.3.1
dlib 19.17.0
dominate 2.5.1
easydict 1.9
entrypoints 0.3
fasteners 0.15
filelock 3.0.12
fire 0.3.1
fjcommon 0.2.12
future 0.18.2
h5py 2.10.0
hypertools 0.6.2
idna 2.10
imageio 2.8.0
importlib-metadata 1.7.0
importlib-resources 3.0.0
ipdb 0.13.3
ipykernel 5.3.0
ipython 7.16.1
ipython-genutils 0.2.0
ipywidgets 7.5.1
jedi 0.17.1
Jinja2 2.11.2
joblib 0.16.0
json5 0.9.5
jsonpatch 1.26
jsonpointer 2.0
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.5
jupyter-console 6.1.0
jupyter-core 4.6.3
jupyterlab 2.1.5
jupyterlab-server 1.1.5
kiwisolver 1.2.0
leveldb 0.201
llvmlite 0.33.0
lmdb 0.98
MarkupSafe 1.1.1
matplotlib 3.2.2
mistune 0.8.4
monotonic 1.5
nbconvert 5.6.1
nbformat 5.0.7
networkx 2.4
nose 1.3.7
notebook 6.0.3
numba 0.50.1
numexpr 2.7.1
numpy 1.19.0
opencv-python 4.2.0.34
packaging 20.4
pandas 1.0.5
pandocfilters 1.4.2
parso 0.7.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 7.2.0
pip 20.1.1
ppca 0.0.4
prometheus-client 0.8.0
prompt-toolkit 3.0.5
protobuf 3.12.2
ptyprocess 0.6.0
pycparser 2.20
pycurl 7.43.0
pydicom 2.0.0
Pygments 2.6.1
pygobject 3.20.0
pyparsing 2.4.7
pyrsistent 0.16.0
python-apt 1.1.0b1+ubuntu0.16.4.9
python-dateutil 2.8.1
python-gflags 3.1.2
pytz 2020.1
PyWavelets 1.1.1
PyYAML 5.3.1
pyzmq 19.0.1
qtconsole 4.7.5
QtPy 1.9.0
requests 2.24.0
scikit-image 0.17.2
scikit-learn 0.23.1
scikit-video 1.1.11
scipy 1.5.0
seaborn 0.10.1
Send2Trash 1.5.0
setuptools 47.3.1
SimpleITK 1.2.4
six 1.15.0
sklearn 0.0
tables 3.6.1
termcolor 1.1.0
terminado 0.8.3
testpath 0.4.4
threadpoolctl 2.1.0
tifffile 2020.6.3
torchfile 0.1.0
tornado 6.0.4
tqdm 4.47.0
traitlets 4.3.3
urllib3 1.25.9
virtualenv 20.0.25
visdom 0.1.8.9
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.57.0
wheel 0.29.0
widgetsnbextension 3.5.1
zipp 3.1.0
zope.interface 5.1.0
liucb-py36-cuda90-torch041
Based on liucb-py36-cuda90-pycore, install deep learning tools with tensorflow-gpu=1.14.0, tensorboard=1.14.0, tensorboardX=1.8 torch=0.4.1 and torchvision=0.2.1.
how to use
docker pull liuboss/pami:liucb-py36-cuda90-torch041
pip list
root@2dc8d34143e7:/# pip list
Package Version
-------------------- ----------------------
absl-py 0.9.0
appdirs 1.4.4
astor 0.8.1
attrs 19.3.0
backcall 0.2.0
bleach 3.1.5
certifi 2020.6.20
cffi 1.14.0
chardet 3.0.4
cycler 0.10.0
Cython 0.29.20
DateTime 4.3
decorator 4.4.2
deepdish 0.3.6
defusedxml 0.6.0
distlib 0.3.1
dlib 19.17.0
dominate 2.5.1
easydict 1.9
entrypoints 0.3
fasteners 0.15
filelock 3.0.12
fire 0.3.1
fjcommon 0.2.12
future 0.18.2
gast 0.3.3
google-pasta 0.2.0
grpcio 1.30.0
h5py 2.10.0
hypertools 0.6.2
idna 2.10
imageio 2.8.0
importlib-metadata 1.7.0
importlib-resources 3.0.0
ipdb 0.13.3
ipykernel 5.3.0
ipython 7.16.1
ipython-genutils 0.2.0
ipywidgets 7.5.1
jedi 0.17.1
Jinja2 2.11.2
joblib 0.16.0
json5 0.9.5
jsonpatch 1.26
jsonpointer 2.0
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.5
jupyter-console 6.1.0
jupyter-core 4.6.3
jupyterlab 2.1.5
jupyterlab-server 1.1.5
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
kiwisolver 1.2.0
leveldb 0.201
llvmlite 0.33.0
lmdb 0.98
Markdown 3.2.2
MarkupSafe 1.1.1
matplotlib 3.2.2
mistune 0.8.4
monotonic 1.5
nbconvert 5.6.1
nbformat 5.0.7
networkx 2.4
nose 1.3.7
notebook 6.0.3
numba 0.50.1
numexpr 2.7.1
numpy 1.19.0
opencv-python 4.2.0.34
packaging 20.4
pandas 1.0.5
pandocfilters 1.4.2
parso 0.7.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 7.2.0
pip 20.1.1
ppca 0.0.4
prometheus-client 0.8.0
prompt-toolkit 3.0.5
protobuf 3.12.2
ptyprocess 0.6.0
pycparser 2.20
pycurl 7.43.0
pydicom 2.0.0
Pygments 2.6.1
pygobject 3.20.0
pyparsing 2.4.7
pyrsistent 0.16.0
python-apt 1.1.0b1+ubuntu0.16.4.9
python-dateutil 2.8.1
python-gflags 3.1.2
pytz 2020.1
PyWavelets 1.1.1
PyYAML 5.3.1
pyzmq 19.0.1
qtconsole 4.7.5
QtPy 1.9.0
requests 2.24.0
scikit-image 0.17.2
scikit-learn 0.23.1
scikit-video 1.1.11
scipy 1.5.0
seaborn 0.10.1
Send2Trash 1.5.0
setuptools 47.3.1
SimpleITK 1.2.4
six 1.15.0
sklearn 0.0
tables 3.6.1
tensorboard 1.14.0
tensorboardX 1.8
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
termcolor 1.1.0
terminado 0.8.3
testpath 0.4.4
threadpoolctl 2.1.0
tifffile 2020.6.3
torch 0.4.1
torchfile 0.1.0
torchvision 0.2.1
tornado 6.0.4
tqdm 4.47.0
traitlets 4.3.3
urllib3 1.25.9
virtualenv 20.0.25
visdom 0.1.8.9
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.57.0
Werkzeug 1.0.1
wheel 0.29.0
widgetsnbextension 3.5.1
wrapt 1.12.1
zipp 3.1.0
zope.interface 5.1.0
liucb-py38-cuda111-torch1101-conda
Core features
# ubuntu 20.04
# python 3.8
# pytorch 1.10.1
# torchvision 0.11.2
# conda py311_23.5.2
how to use
docker pull liuboss/pami:liucb-py38-cuda111-torch1101-conda