/
classifiers_base.py
131 lines (127 loc) · 5.68 KB
/
classifiers_base.py
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import hdf5_getters
import numpy
def classify(h5):
output_array={}
# duration
duration=hdf5_getters.get_duration(h5)
output_array["duration"]=duration ### ADDED VALUE TO ARRAY
# number of bars
bars=hdf5_getters.get_bars_start(h5)
num_bars=len(bars)
output_array["num_bars"]=num_bars ### ADDED VALUE TO ARRAY
# mean and variance in bar length
bar_length=numpy.ediff1d(bars)
variance_bar_length=numpy.var(bar_length)
output_array["variance_bar_length"]=variance_bar_length ### ADDED VALUE TO ARRAY
# number of beats
beats=hdf5_getters.get_beats_start(h5)
num_beats=len(beats)
output_array["num_beats"]=num_beats ### ADDED VALUE TO ARRAY
# mean and variance in beats length
beats_length=numpy.ediff1d(beats)
variance_beats_length=numpy.var(bar_length)
output_array["variance_beats_length"]=variance_beats_length ### ADDED VALUE TO ARRAY
# danceability
danceability=hdf5_getters.get_danceability(h5)
output_array["danceability"]=danceability ### ADDED VALUE TO ARRAY
# end of fade in
end_of_fade_in=hdf5_getters.get_end_of_fade_in(h5)
output_array["end_of_fade_in"]=end_of_fade_in ### ADDED VALUE TO ARRAY
# energy
energy=hdf5_getters.get_energy(h5)
output_array["energy"]=energy ### ADDED VALUE TO ARRAY
# key
key=hdf5_getters.get_key(h5)
output_array["key"]=int(key) ### ADDED VALUE TO ARRAY
# loudness
loudness=hdf5_getters.get_loudness(h5)
output_array["loudness"]=loudness ### ADDED VALUE TO ARRAY
# mode
mode=hdf5_getters.get_mode(h5)
output_array["mode"]=int(mode) ### ADDED VALUE TO ARRAY
# number sections
sections=hdf5_getters.get_sections_start(h5)
num_sections=len(sections)
output_array["num_sections"]=num_sections ### ADDED VALUE TO ARRAY
# mean and variance in sections length
sections_length=numpy.ediff1d(sections)
variance_sections_length=numpy.var(sections)
output_array["variance_sections_length"]=variance_sections_length ### ADDED VALUE TO ARRAY
# number segments
segments=hdf5_getters.get_segments_start(h5)
num_segments=len(segments)
output_array["num_segments"]=num_segments ### ADDED VALUE TO ARRAY
# mean and variance in segments length
segments_length=numpy.ediff1d(segments)
variance_segments_length=numpy.var(segments)
output_array["variance_segments_length"]=variance_segments_length ### ADDED VALUE TO ARRAY
# segment loudness max
segment_loudness_max_array=hdf5_getters.get_segments_loudness_max(h5)
segment_loudness_max_time_array=hdf5_getters.get_segments_loudness_max_time(h5)
segment_loudness_max_index=0
for i in range(len(segment_loudness_max_array)):
if segment_loudness_max_array[i]>segment_loudness_max_array[segment_loudness_max_index]:
segment_loudness_max_index=i
segment_loudness_max=segment_loudness_max_array[segment_loudness_max_index]
segment_loudness_max_time=segment_loudness_max_time_array[segment_loudness_max_index]
output_array["segment_loudness_max"]=segment_loudness_max ### ADDED VALUE TO ARRAY
output_array["segment_loudness_time"]=segment_loudness_max_time ### ADDED VALUE TO ARRAY
# POSSIBLE TODO: use average function instead and weight by segment length
# segment loudness mean (start)
segment_loudness_array=hdf5_getters.get_segments_loudness_start(h5)
segment_loudness_mean=numpy.mean(segment_loudness_array)
output_array["segment_loudness_mean"]=segment_loudness_mean ### ADDED VALUE TO ARRAY
# segment loudness variance (start)
segment_loudness_variance=numpy.var(segment_loudness_array)
output_array["segment_loudness_variance"]=segment_loudness_variance ### ADDED VALUE TO ARRAY
# segment pitches
segment_pitches_array=hdf5_getters.get_segments_pitches(h5)
segment_pitches_mean=numpy.mean(segment_pitches_array,axis=0).tolist()
output_array["segment_pitches_mean"]=segment_pitches_mean
# segment pitches variance (start)
segment_pitches_variance=numpy.var(segment_pitches_array,axis=0).tolist()
output_array["segment_pitches_variance"]=segment_pitches_variance
# segment timbres
segment_timbres_array=hdf5_getters.get_segments_timbre(h5)
segment_timbres_mean=numpy.mean(segment_timbres_array,axis=0).tolist()
output_array["segment_timbres_mean"]=segment_timbres_mean
# segment timbres variance (start)
segment_timbres_variance=numpy.var(segment_timbres_array,axis=0).tolist()
output_array["segment_timbres_variance"]=segment_timbres_variance
# hotttnesss
hottness=hdf5_getters.get_song_hotttnesss(h5,0)
output_array["hottness"]=hottness ### ADDED VALUE TO ARRAY
# duration-start of fade out
start_of_fade_out=hdf5_getters.get_start_of_fade_out(h5)
fade_out=duration-start_of_fade_out
output_array["fade_out"]=fade_out ### ADDED VALUE TO ARRAY
# tatums
tatums=hdf5_getters.get_tatums_start(h5)
num_tatums=len(tatums)
output_array["num_tatums"]=num_tatums ### ADDED VALUE TO ARRAY
# mean and variance in tatums length
tatums_length=numpy.ediff1d(tatums)
variance_tatums_length=numpy.var(tatums_length)
output_array["variance_tatums_length"]=variance_tatums_length ### ADDED VALUE TO ARRAY
# tempo
tempo=hdf5_getters.get_tempo(h5)
output_array["tempo"]=tempo ### ADDED VALUE TO ARRAY
# time signature
time_signature=hdf5_getters.get_time_signature(h5)
output_array["time_signature"]=int(time_signature) ### ADDED VALUE TO ARRAY
# year
year=hdf5_getters.get_year(h5)
output_array["year"]=int(year) ### ADDED VALUE TO ARRAY
# artist terms
artist_terms=hdf5_getters.get_artist_terms(h5,0)
output_array["artist_terms"]=artist_terms.tolist()
artist_terms_freq=hdf5_getters.get_artist_terms_freq(h5,0)
output_array["artist_terms_freq"]=artist_terms_freq.tolist()
artist_name=hdf5_getters.get_artist_name(h5,0)
output_array["artist_name"]=artist_name
artist_id=hdf5_getters.get_artist_id(h5,0)
output_array["artist_id"]=artist_id
# title
title=hdf5_getters.get_title(h5,0)
output_array["title"]=title
return output_array