tree: 045cbf4d0e67212c04a73ba78f92bb698dd5e5ed [path history] [tgz]
  1. samples/
  2. build.gradle
  3. Dockerfile
  4. pythonrunner.py
  5. README.md
  6. requirements.txt
core/python3AiAction/README.md

AI Action

This image contains libraries and frameworks useful for running AI Services.

Bellow are the versions for the included libraries:

Image VersionPackageNotes
1.1.0Tensorflow 1.11.0, PyTorch 0.4.1Based on Ubuntu 16.04.5, Python 3.5.2.

Opening Notebooks

This image has Jupyter Notebook installed. You may find useful to run quick Notebooks directly on the image which may run the actual code. To start Jupyter Notebook execute:

$ docker run -it -p 8888:8888 --rm --entrypoint jupyter-notebook openwhisk/python3aiaction  --notebook-dir=/notebooks --ip 0.0.0.0 --no-browser --allow-root

AI Action Sample

To view an example with this AI Action check the samples/smart-body-crop notebook and follow the instructions.

1.1.0 Details

Available python packages

PackageVersion
tensorboard1.11.0
tensorflow1.11.0
torch0.4.1
torchvision0.2.1
scikit-learn0.19.2
scipy1.1.0
sklearn0.0
numpy1.15.2
pandas0.23.4
Pillow5.2.0
Cython0.28.5
ipykernel4.9.0
ipython6.5.0
ipywidgets7.4.2
jupyter1.0.0
jupyter-client5.2.3
jupyter-console5.2.0
jupyter-core4.4.0
Keras2.2.2
Keras-Applications1.0.4
Keras-Preprocessing1.0.2
matplotlib3.0.0
notebook5.7.0
opencv-contrib-python3.4.2.17
protobuf3.6.1

For a complete list execute:

$ docker run --rm --entrypoint pip openwhisk/python3aiaction list

Available Ubuntu packages

For a complete list execute:

$ docker run --rm --entrypoint apt openwhisk/python3aiaction list --installed