pept.tracking.LinesCentroids#

class pept.tracking.LinesCentroids(remove=0.1, iterations=6)[source]#

Bases: Filter

Compute the minimum distance point of some pept.LineData while iteratively removing a fraction of the furthest lines.

Filter signature:

list[LineData] -> LinesCentroids.fit_sample -> PointData
      LineData -> LinesCentroids.fit_sample -> PointData
 numpy.ndarray -> LinesCentroids.fit_sample -> PointData

The code below is adapted from the PEPT-EM algorithm developed by Antoine Renaud and Sam Manger.

__init__(remove=0.1, iterations=6)[source]#

Methods

`__init__`([remove, iterations])
`centroid`(lors)
`copy`([deep])	Create a deep copy of an instance of this class, including all inner attributes.
`distance_matrix`(x, lors)
`fit`(samples[, executor, max_workers, verbose])	Apply self.fit_sample (implemented by subclasses) according to the execution policy.
`fit_sample`(lines)
`load`(filepath)	Load a saved / pickled PEPTObject object from filepath.
`predict`(lines)
`save`(filepath)	Save a PEPTObject instance as a binary pickle object.

static centroid(lors)[source]#

static distance_matrix(x, lors)[source]#

predict(lines)[source]#

fit_sample(lines)[source]#

copy(deep=True)#: Create a deep copy of an instance of this class, including all inner attributes.

fit(samples, executor='joblib', max_workers=None, verbose=True)#: Apply self.fit_sample (implemented by subclasses) according to the execution policy. Simply return a list of processed samples. If you need a reduction step (e.g. stack all processed samples), apply it in the subclass.

static load(filepath)#

Load a saved / pickled PEPTObject object from filepath.

Most often the full object state was saved using the .save method.

Parameters

filepathfilename or file handle: If filepath is a path (rather than file handle), it is relative to where python is called.

Returns

pept.PEPTObject subclass instance: The loaded object.

Examples

Save a LineData instance, then load it back:

>>> lines = pept.LineData([[1, 2, 3, 4, 5, 6, 7]])
>>> lines.save("lines.pickle")

>>> lines_reloaded = pept.LineData.load("lines.pickle")

save(filepath)#

Save a PEPTObject instance as a binary pickle object.

Saves the full object state, including inner attributes, in a portable binary format. Load back the object using the load method.

Parameters

filepathfilename or file handle: If filepath is a path (rather than file handle), it is relative to where python is called.

Examples

Save a LineData instance, then load it back:

>>> lines = pept.LineData([[1, 2, 3, 4, 5, 6, 7]])
>>> lines.save("lines.pickle")

>>> lines_reloaded = pept.LineData.load("lines.pickle")