15.1 colorize configure


The colorize package is Python based and utilises tensorflow and keras. To check that everything is installed run the configure command:

ml configure colorize

The configuration will proceed with something like the following:

*** The following required system packages are already installed:
  python3-numpy python3-pydot python3-matplotlib python3-opencv python3-graphviz python3-toolz

*** Installing Python package tensorflow-cpu by pip into

Do you want to pip install tensorflow-cpu [Y/n]? 


Python and support files are downloaded from GitHub as specified in the MLHUB.yaml file.

  name         : colorize
  title        : Demonstrate the concept of photo colorization.
  keywords     : python, graphics, colorize, tensorflow, keras, computer vision
  languages    : py
  license      : gpl3
  author       : Yang Liu
  maintainer   : Graham Williams  
  url          : https://github.com/mlhubber/colorize
  python3: # Operating system installed packages.
    - numpy
    - pydot
    - matplotlib
    - opencv   # python3-opencv not available Ubuntu 16.04
    - graphviz # python3-graphviz not available Ubuntu 16.04
    - toolz
  pip3: # Local user pip3 installed packages.
    - tensorflow-cpu
    - keras>=2.4.3 # Ubuntu 20.04 has 2.2.4 leading to errors. Works with 2.4.3.
    - https://github.com/foamliu/Simple-Colorization/releases/download/v1.0/model.06-2.5489.hdf5: cache/models/
    - data
    - demo.py
    - images
    - README.md
    - color.py
    - utils.py
  demo   : Demonstrate colorization on sample black-and-white images.
  color  : Colorize images given by a path or URL.

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