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nsconvert.py
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nsconvert.py
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#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# CREATED:2016-02-16 15:40:04 by Brian McFee <brian.mcfee@nyu.edu>
r'''
Namespace conversion
--------------------
.. autosummary::
:toctree: generated
convert
'''
import numpy as np
from copy import deepcopy
from collections import defaultdict
from .exceptions import NamespaceError
# The structure that handles all conversion mappings
__CONVERSION__ = defaultdict(defaultdict)
__all__ = ['convert', 'can_convert']
def _conversion(target, source):
'''A decorator to register namespace conversions.
Usage
-----
>>> @conversion('tag_open', 'tag_.*')
... def tag_to_open(annotation):
... annotation.namespace = 'tag_open'
... return annotation
'''
def register(func):
'''This decorator registers func as mapping source to target'''
__CONVERSION__[target][source] = func
return func
return register
def convert(annotation, target_namespace):
'''Convert a given annotation to the target namespace.
Parameters
----------
annotation : jams.Annotation
An annotation object
target_namespace : str
The target namespace
Returns
-------
mapped_annotation : jams.Annotation
if `annotation` already belongs to `target_namespace`, then
it is returned directly.
otherwise, `annotation` is copied and automatically converted
to the target namespace.
Raises
------
SchemaError
if the input annotation fails to validate
NamespaceError
if no conversion is possible
Examples
--------
Convert frequency measurements in Hz to MIDI
>>> ann_midi = jams.convert(ann_hz, 'note_midi')
And back to Hz
>>> ann_hz2 = jams.convert(ann_midi, 'note_hz')
'''
# First, validate the input. If this fails, we can't auto-convert.
annotation.validate(strict=True)
# If we're already in the target namespace, do nothing
if annotation.namespace == target_namespace:
return annotation
if target_namespace in __CONVERSION__:
# Otherwise, make a copy to mangle
annotation = deepcopy(annotation)
# Look for a way to map this namespace to the target
for source in __CONVERSION__[target_namespace]:
if annotation.search(namespace=source):
return __CONVERSION__[target_namespace][source](annotation)
# No conversion possible
raise NamespaceError('Unable to convert annotation from namespace='
'"{0}" to "{1}"'.format(annotation.namespace,
target_namespace))
def can_convert(annotation, target_namespace):
'''Test if an annotation can be mapped to a target namespace
Parameters
----------
annotation : jams.Annotation
An annotation object
target_namespace : str
The target namespace
Returns
-------
True
if `annotation` can be automatically converted to
`target_namespace`
False
otherwise
'''
# If we're already in the target namespace, do nothing
if annotation.namespace == target_namespace:
return True
if target_namespace in __CONVERSION__:
# Look for a way to map this namespace to the target
for source in __CONVERSION__[target_namespace]:
if annotation.search(namespace=source):
return True
return False
@_conversion('pitch_contour', 'pitch_hz')
def pitch_hz_to_contour(annotation):
'''Convert a pitch_hz annotation to a contour'''
annotation.namespace = 'pitch_contour'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=dict(index=0,
frequency=np.abs(obs.value),
voiced=obs.value > 0))
return annotation
@_conversion('pitch_contour', 'pitch_midi')
def pitch_midi_to_contour(annotation):
'''Convert a pitch_hz annotation to a contour'''
annotation = pitch_midi_to_hz(annotation)
return pitch_hz_to_contour(annotation)
@_conversion('note_hz', 'note_midi')
def note_midi_to_hz(annotation):
'''Convert a pitch_midi annotation to pitch_hz'''
annotation.namespace = 'note_hz'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=440 * (2.0**((obs.value - 69.0)/12.0)))
return annotation
@_conversion('note_midi', 'note_hz')
def note_hz_to_midi(annotation):
'''Convert a pitch_hz annotation to pitch_midi'''
annotation.namespace = 'note_midi'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=12 * (np.log2(obs.value) - np.log2(440.0)) + 69)
return annotation
@_conversion('pitch_hz', 'pitch_midi')
def pitch_midi_to_hz(annotation):
'''Convert a pitch_midi annotation to pitch_hz'''
annotation.namespace = 'pitch_hz'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=440 * (2.0**((obs.value - 69.0)/12.0)))
return annotation
@_conversion('pitch_midi', 'pitch_hz')
def pitch_hz_to_midi(annotation):
'''Convert a pitch_hz annotation to pitch_midi'''
annotation.namespace = 'pitch_midi'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=12 * (np.log2(obs.value) - np.log2(440.0)) + 69)
return annotation
@_conversion('segment_open', 'segment_.*')
def segment_to_open(annotation):
'''Convert any segmentation to open label space'''
annotation.namespace = 'segment_open'
return annotation
@_conversion('tag_open', 'tag_.*')
def tag_to_open(annotation):
'''Convert any tag annotation to open label space'''
annotation.namespace = 'tag_open'
return annotation
@_conversion('tag_open', 'scaper')
def scaper_to_tag(annotation):
'''Convert scaper annotations to tag_open'''
annotation.namespace = 'tag_open'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence, value=obs.value['label'])
return annotation
@_conversion('beat', 'beat_position')
def beat_position(annotation):
'''Convert beat_position to beat'''
annotation.namespace = 'beat'
data = annotation.pop_data()
for obs in data:
annotation.append(time=obs.time, duration=obs.duration,
confidence=obs.confidence,
value=obs.value['position'])
return annotation
@_conversion('chord', 'chord_harte')
def chordh_to_chord(annotation):
'''Convert Harte annotation to chord'''
annotation.namespace = 'chord'
return annotation