Python Bindings to Liu’s Optical Flow Framework

Todo

The parameter(s) ‘A, c’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.initialize_dual_lambda_mu, line 4.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.is_feasible, line 4.)

Todo

This documentation seems wrong since lambda is not in the list of parameters.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.is_in_v, line 4.)

Todo

The parameter(s) ‘mu, theta, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.is_in_v, line 7.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.is_in_v_s, line 4.)

Todo

The parameter(s) ‘A, b, c, x0’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.solve, line 3.)

Todo

The return value(s) ‘x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.solve, line 5.)

Todo

Document parameter labmda

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.solve, line 11.)

Todo

Document parameter mu

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPoint.solve, line 15.)

Todo

The parameter(s) ‘A, c’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.initialize_dual_lambda_mu, line 4.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.is_feasible, line 4.)

Todo

This documentation looks wrong since lambda is not part of the parameters

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.is_in_v, line 4.)

Todo

The parameter(s) ‘gamma, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.is_in_v, line 7.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.is_in_v_s, line 4.)

Todo

The parameter(s) ‘A, b, c, x0’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.solve, line 3.)

Todo

The return value(s) ‘x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.solve, line 5.)

Todo

Document parameter labmda

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.solve, line 11.)

Todo

Document parameter mu

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointLongstep.solve, line 15.)

Todo

The parameter(s) ‘A, c’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.initialize_dual_lambda_mu, line 4.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.is_feasible, line 4.)

Todo

This documentation seems wrong since lambda is not in the list of parameters.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.is_in_v, line 4.)

Todo

The parameter(s) ‘mu, theta, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.is_in_v, line 7.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.is_in_v_s, line 4.)

Todo

The parameter(s) ‘A, b, c, x0’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.solve, line 3.)

Todo

The return value(s) ‘x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.solve, line 5.)

Todo

Document parameter labmda

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.solve, line 11.)

Todo

Document parameter mu

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointPredictorCorrector.solve, line 15.)

Todo

The parameter(s) ‘A, c’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.initialize_dual_lambda_mu, line 4.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.is_feasible, line 4.)

Todo

This documentation seems wrong since lambda is not in the list of parameters.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.is_in_v, line 4.)

Todo

The parameter(s) ‘mu, theta, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.is_in_v, line 7.)

Todo

The parameter(s) ‘A, b, c, lambda, mu, x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.is_in_v_s, line 4.)

Todo

The parameter(s) ‘A, b, c, x0’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.solve, line 3.)

Todo

The return value(s) ‘x’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.solve, line 5.)

Todo

Document parameter labmda

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.solve, line 11.)

Todo

Document parameter mu

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.LPInteriorPointShortstep.solve, line 15.)

Todo

Explain, what width means in this case

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.pavxWidth, line 25.)

Todo

Explain, what width means in this case

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.pavxWidthHeight, line 26.)

Todo

Explain, what height means in this case

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/0/bob.math/bob/math/__init__.py:docstring of bob.math.pavxWidthHeight, line 32.)

Todo

Explain DCTFeatures constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.DCTFeatures, line 14.)

Todo

The parameter(s) ‘levels, max_level, min_level, quantization_table’ are used, but not documented.

Parameters:

dtype : numpy.dtype

[default: numpy.uint8] The data-type for the GLCM class

glcm : bob.ip.base.GLCM

The GLCM object to use for copy-construction

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.GLCM, line 18.)

Todo

Explain GaussianScaleSpace constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.GaussianScaleSpace, line 13.)

Todo

UPDATE as this is not true

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.LBPTop, line 7.)

Todo

Add documentation for MultiscaleRetinex

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.MultiscaleRetinex, line 13.)

Todo

Check if this documentation is correct (seems to be copied from bob.ip.base.SelfQuotientImage

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.MultiscaleRetinex.process, line 4.)

Todo

Explain SIFT constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.SIFT, line 13.)

Todo

explain SelfQuotientImage constructor

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.SelfQuotientImage, line 15.)

Todo

Explain TanTriggs constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.TanTriggs, line 13.)

Todo

Explain VLDSIFT constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.VLDSIFT, line 12.)

Todo

Describe the output of the VLDSIFT.extract() method in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.VLDSIFT.extract, line 8.)

Todo

Explain VLSIFT constructor in more detail.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.VLSIFT, line 12.)

Todo

explain WeightedGaussian constructor

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.WeightedGaussian, line 13.)

Todo

The parameter(s) ‘img, mask’ are used, but not documented.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.extrapolate_mask, line 19.)

Todo

Explain gamma correction in more detail

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.base/bob/ip/base/__init__.py:docstring of bob.ip.base.gamma_correction, line 3.)

Todo

Adapt http://pypi.python.org/pypi/xbob.example.faceverify so that it actually uses the bob.ip.gabor package.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.ip.gabor/doc/guide.rst, line 187.)

Todo

Support for weight cost in multi-class classification?

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.learn.libsvm/doc/c_cpp_api.rst, line 445.)

Todo

Describe the C++ API of this package.

(The original entry is located in /home/travis/build/bioidiap/bob.python/layers/1/bob.learn.mlp/doc/c_cpp_api.rst, line 245.)

This package is a simple Python wrapper to the open-source Optical Flow estimator developed by C. Liu during his Ph.D. The code was originally conceived to operate over Matlab. This is a Python/Bob port. If you use this code, the author asks you to cite his thesis:

@thesis{Liu_PHD_2009,
  title = {{Beyond Pixels: Exploring New Representations and Applications for Motion Analysis}},
  author = {Liu, C.},
  institution = {{Massachusetts Institute of Technology}},
  year = {2009},
  type = {{Ph.D. Thesis}},
}

If you decide to use this port on your publication, we kindly ask you to cite Bob as well, as the base software framework, on which this port has been developed:

@inproceedings{Anjos_ACMMM_2012,
  author = {A. Anjos and L. El Shafey and R. Wallace and M. G\"unther and C. McCool and S. Marcel},
  title = {Bob: a free signal processing and machine learning toolbox for researchers},
  year = {2012},
  month = oct,
  booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},
  publisher = {ACM Press},
  url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},
}

Here is a link Liu’s homepage with details on the code, also displaying the original Matlab port.

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