-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsmpl.py
147 lines (125 loc) · 4.84 KB
/
smpl.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
"""
from smpl import smpl
s = smpl()
s.set_input_file('/data/csound_jja/Toms_diner.wav')
s.set_bpm(s.estimate_bpm() / 2)
s.set_bars(s.estimate_bars())
s.set_export_filename('1.wav')
s.export_wav()
s.sample_info()
"""
# TODO: add bpm/bar estimation buttons/text entry fields
# make adjustable start/stop points for the sample
class smpl:
import sox
import math
import librosa
import os
import sounddevice as sd
import numpy as np
def __init__(self, slot):
self.slot = slot
self.export_rate = 48000
self.export_channels = 1
self.export_bitdepth = 16
self.size_estimate = 0
self.bpm = 0
self.num_bars = 0
self.start = 0
self.end = 0
self.loop = False
self.rev = False
def input_file_is_set(self):
return hasattr(self, 'input_filename')
def set_input_file(self, filename):
self.input_filename = filename
self.input_rate = self.sox.file_info.sample_rate(self.input_filename)
self.input_channels = self.sox.file_info.channels(self.input_filename)
self.input_bitdepth = self.sox.file_info.bitdepth(self.input_filename)
self.input_duration = self.sox.file_info.duration(self.input_filename)
self.size_estimate = self.math.ceil(self.input_duration * self.export_rate * (self.export_bitdepth / 8))
self.num_samples = self.math.ceil(self.input_duration * self.export_rate)
self.set_start(0)
self.set_end(self.num_samples)
if hasattr(self, 'wf_array'):
del self.wf_array
self.tfm = self.sox.Transformer()
self.tfm.set_output_format(file_type='wav', rate=self.export_rate, channels=self.export_channels, bits=self.export_bitdepth, encoding='signed-integer')
def set_export_filename(self, filename):
self.export_filename = filename
# TODO: make this play the transformed version destined for output
# make this play a selected range - probably from an array or something
# loopability
def preview(self):
if self.input_file_is_set():
self.sd.play(self.get_waveform(self.rev, False), self.export_rate, loop=self.loop)
def stop(self):
self.sd.stop()
def get_waveform(self, rev, full):
if not hasattr(self, 'wf_array'):
self.wf_array = self.tfm.build_array(self.input_filename)
if full:
start = 0
end = self.num_samples
else:
start = self.start
end = self.end
if rev:
return self.np.flip(self.wf_array[start:end])
return self.wf_array[start:end]
def export_wav(self):
if hasattr(self, 'export_filename'):
return self.tfm.build_file(input_array=self.get_waveform(False, False), sample_rate_in=self.export_rate, output_filepath=self.export_filename, return_output=True)
else:
print('Export filename not defined - please set_export_filename')
def estimate_bpm(self):
if self.input_file_is_set():
y, sr = self.librosa.load(self.input_filename)
tempo, beat_frames = self.librosa.beat.beat_track(y=y, sr=sr)
return tempo
else:
return 0
def set_bpm(self, bpm):
self.bpm = bpm
def estimate_bars(self):
if (self.bpm != 0):
beats_per_second = self.bpm / 60
seconds_per_bar = 4 / beats_per_second
num_bars = self.input_duration / seconds_per_bar
return num_bars
def set_bars(self, bars):
self.num_bars = bars
def sample_info(self, for_config=False):
if for_config:
if hasattr(self, 'export_filename'):
return "{},{:.2f},{},{}".format(self.os.path.basename(self.export_filename), self.bpm, self.loop, self.rev)
else:
print('Export filename not defined - please set_export_filename')
else:
return "{},{},{:.2f},{},{},{},{}".format(self.slot, self.input_filename, self.bpm, self.loop, self.rev, self.start, self.end)
def set_start(self, start):
start = self.math.floor(start)
if (start < 0):
start = 0
if (start > self.num_samples):
start = self.num_samples
self.start = start
self.update_size_estimate()
def set_end(self, end):
end = self.math.ceil(end)
if (end < 0):
end = self.num_samples
if (end > self.num_samples):
end = self.num_samples
self.end = end
self.update_size_estimate()
def update_size_estimate(self):
self.size_estimate = (self.end - self.start) * (self.export_bitdepth / 8)
def get_start(self):
return self.start
def get_end(self):
return self.end
def set_loop(self, loop):
self.loop = loop
def set_rev(self, rev):
self.rev = rev