Simple Python demos of existing Shape-From-Shading methods for NPR.

• Lumo: Illumination for Cel Animation [Johnston et al. 2002]
  • Normal estimation from silhouettes.
• Image-Based Material Editing [Kahn et al. 2006]
  • The original paper focuses on material editing. Lopez-Moreno et al. 2006 extends the basis idea for their NPR usage. In this program, shape recovery part is implemented.

In the following demo, we compare Lumo and IBME (Image-Based Material Editing).

Note: This program was only tested on Windows with Python2.7. Linux and Mac OS are not officially supported, but the following instructions might be helpful for installing on those environments.

Please install the following required python modules.

• NumPy
• SciPy
• matplotlib
• OpenCV
• PyAMG

As these modules are heavily dependent on NumPy modules, please install appropriate packages for your development environment (Python versions, 32-bit or 64bit). For 64-bit Windows, you can download the binaries from Unofficial Windows Binaries for Python Extension Packages.

This program also uses docopt for CLI. docopt will be installed automatically through the following pip command for main modules.

You can use pip command for installing main modules. Please run the following command from the shell.

  > pip install git+https://github.com/tody411/NPR-SFS.git

• npr_sfs: Main package.
  • datasets: Utility module for small datasets.
  • methods: SFS main modules.

Each method implementation in npr_sfs/methods provides CLI (provided by docopt) to run the program. The following CLI examples can be tested from npr_sfs/methods directory.

No args: Simple demo with installed datasets.

  > python lumo.py

input: You can specify an input image file as the command args.

  > python lumo.py ../datasets/Blob1.png

-o --output: You can save estimated normal image (The output will be saved in the same directory as the input).

  > python lumo.py -o

-q --quiet: Quiet mode (GUIs are not shown).

  > python lumo.py -q -o

API document will be managed by doxygen framework. Online version is provided in the following link:

• npr_sfs API Document (html)

For a local copy, please use the following doxygen command from doxygen directory.

  > doxygen doxygen_config

• Update result section.
• Implement more methods.
• Comparison module for summarizing the results.

The MIT License 2015 (c) tody