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 /home/kayon/.mlhub/colorize/.python 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.
meta: 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 dependencies: 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. files: - 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 commands: demo : Demonstrate colorization on sample black-and-white images. color : Colorize images given by a path or URL.
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