daien

"""Tree structure and hierarchical divisive algorithm for spectral clustering

Used in the paper:

@article{Gaidon2014,
author = {Gaidon, Adrien and Harchaoui, Zaid and Schmid, Cordelia},
title = {{Activity representation with motion hierarchies}},
journal = {IJCV},
year = {2014}
}

daien

daien

# -*- coding: utf-8 -*-
# <nbformat>3</nbformat>

# <codecell>

import numpy as np
import pylab as pl
import sklearn.datasets as skdata
import multinomial_logistic_regression as mlr

daien

"""
Multinomial Logistic Regression (MLR)
=====================================

Multiclass-classification with the MLR classifier


Authors: Adrien Gaidon & Jakob Verbeek

"""

daien

#!/usr/bin/env python

""" Video stabilization with OpenCV (>=2.3) and Hugin

Adrien Gaidon
INRIA - 2012

TODO: add cropping, clean-up and improve doc-strings
"""

daien

import numpy as np

def regular_multidim_digitize(data, n_bins=3, lbes=None, rbes=None):
    """ Build a regular grid and assigns each data point to a cell

    Parameters
    ----------
    data: (n_points, n_dims) array,
          the data that we which to digitize

daien

""" Module to compute projections on the positive simplex or the L1-ball

A positive simplex is a set X = { \mathbf{x} | \sum_i x_i = s, x_i \geq 0 }

The (unit) L1-ball is the set X = { \mathbf{x} | || x ||_1 \leq 1 }

Adrien Gaidon - INRIA - 2011
"""

daien

#!/usr/bin/env python

import numpy as np
import tables

# class containing infos to identify a track
class Track(tables.IsDescription):
    id = tables.IntCol()      # track ID (should be unique)
    frame = tables.IntCol()   # frame where the current track bounding box was found
    ulx = tables.IntCol()     # upper left corner's x coordinate of the bbox (upper left is origin (0,0) of frame)