def add_tempo_arguments(cls, parser, min_bpm=MIN_BPM, max_bpm=MAX_BPM,
act_smooth=ACT_SMOOTH, hist_smooth=HIST_SMOOTH):
"""
Add tempo related arguments to an existing parser.
:param parser: existing argparse parser
:param min_bpm: minimum tempo [bpm]
:param max_bpm: maximum tempo [bpm]
:param act_smooth: smooth the activations over N seconds
:param hist_smooth: smooth the tempo histogram over N bins
:return: tempo argument parser group
"""
# pylint: disable=arguments-differ
# TODO: import the TempoEstimation here otherwise we have a
# loop. This is super ugly, but right now I can't think of a
# better solution...
from madmom.features.tempo import TempoEstimationProcessor as tempo
tempo.add_arguments(parser, method=None, min_bpm=min_bpm,
max_bpm=max_bpm, act_smooth=act_smooth,
hist_smooth=hist_smooth, alpha=None)
def add_tempo_arguments(cls, parser, method=TEMPO_METHOD, min_bpm=MIN_BPM,
max_bpm=MAX_BPM, act_smooth=ACT_SMOOTH,
hist_smooth=HIST_SMOOTH, alpha=ALPHA):
"""
Add tempo arguments to an existing parser.
:param parser: existing argparse parser
:param method: tempo estimation method ['comb', 'acf']
:param min_bpm: minimum tempo [bpm]
:param max_bpm: maximum tempo [bpm]
:param act_smooth: smooth the activations over N seconds
:param hist_smooth: smooth the tempo histogram over N bins
:param alpha: scaling factor of the comb filter
:return: tempo argument parser group
"""
# TODO: import the TempoEstimation here otherwise we have a
# loop. This is super ugly, but right now I can't think of a
# better solution...
from madmom.features.tempo import TempoEstimationProcessor as Tempo
return Tempo.add_arguments(parser, method=method, min_bpm=min_bpm,
max_bpm=max_bpm, act_smooth=act_smooth,
hist_smooth=hist_smooth, alpha=alpha)
