Docker images for IPOL
Docker images for IPOL
Any docker images can be used to build a demo. For example, one can use a python base image or a debian base image.
However, IPOL also proposes a few prebuilt images for Python demos (recommended):
ipol:v1-py3.7ipol:v1-py3.7-pytorchipol:v1-py3.7-tensorflowipol:v1-py3.8ipol:v1-py3.8-pytorchipol:v1-py3.8-tensorflowipol:v1-py3.9ipol:v1-py3.9-pytorchipol:v1-py3.9-tensorflowipol:v1-octave
ipol:v1-py*
Each image is based on the dockerhub python:3.x image, which itself is based on Debian bullseye. The images also contain quarto v0.9.106.
System packages
The following packages are preinstalled in every IPOL images, in addition to what is already installed in the python:3.x base image:
cmake
libtiff5-dev
libjpeg-dev
libpng-dev
libfftw3-dev
liblapack-dev
libblas-dev
libopenblas-base
libopenblas-dev
libblas-dev
libblas3
liblapack-dev
liblapacke-dev
liblapacke
libconfig9
libconfig-dev
libconfig++-dev
py3.7
Includes the following additional Python packages from PIP:
pip==22.0.4
numpy==1.21.5
scipy==1.7.3
scikit-image==0.19.2
scikit-learn==1.0.2
opencv-contrib-python-headless==4.5.5.64
pillow==9.0.1
iio==0.0.3
imageio==2.16.1
imagecodecs==2021.11.20
jupyter==1.0.0
matplotlib==3.5.1
plotly==5.6.0
pandas==1.3.5
papermill==2.3.4
py3.8
Includes the following additional Python packages from PIP:
pip==22.0.4
numpy==1.22.3
scipy==1.8.0
scikit-image==0.19.2
scikit-learn==1.0.2
opencv-contrib-python-headless==4.5.5.64
pillow==9.0.1
iio==0.0.3
imageio==2.16.1
imagecodecs==2021.11.20
jupyter==1.0.0
matplotlib==3.5.1
plotly==5.6.0
pandas==1.4.1
papermill==2.3.4
py3.9
Includes the following additional Python packages from PIP:
pip==22.0.4
numpy==1.22.3
scipy==1.8.0
scikit-image==0.19.2
scikit-learn==1.0.2
opencv-contrib-python-headless==4.5.5.64
pillow==9.0.1
iio==0.0.3
imageio==2.16.1
imagecodecs==2021.11.20
jupyter==1.0.0
matplotlib==3.5.1
plotly==5.6.0
pandas==1.4.1
papermill==2.3.4
-pytorch
This flavor adds the following packages (from https://download.pytorch.org/whl/cpu/torch_stable.html):
torch==1.11.0+cputorchvision==0.12.0+cputorchaudio==0.11.0+cpu
-tensorflow
This flavor adds the following package:
tensorflow-cpu==2.8.0
ipol:v1-octave
This image is based on debian:bullseye with the following packages:
octave
octave-image
octave-signal
octave-control
octave-io
octave-optim
octave-statistics
Octave is at version 6.2.0. The packages are not loaded by default, so you must use pkg load image in your code for example.
