Dockerfile and Dockerimg by Boss Liu.
To do
- [] conda
｜--liucb-py36-cuda90-base
｜--liucb-py36-cuda90-pycore
｜--liucb-py36-cuda90-torch041
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.
docker pull liuboss/pami:liucb-py36-cuda90-base
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
Based on liucb-py36-cuda90-base, install core python packages except the deep learning tools.
docker pull liuboss/pami:liucb-py36-cuda90-pycore
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
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.
docker pull liuboss/pami:liucb-py36-cuda90-torch041
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
# ubuntu 20.04
# python 3.8
# pytorch 1.10.1
# torchvision 0.11.2
# conda py311_23.5.2
docker pull liuboss/pami:liucb-py38-cuda111-torch1101-conda