def pdfilter(inp, outp, patch, folder='.'):
inw = wave.open(inp, 'rb')
outw = wave.open(outp, 'wb')
try:
w = inw.getsampwidth()
if w != 2: raise Exception('wrong sample width')
ch = inw.getnchannels()
sr = inw.getframerate()
n = inw.getnframes()
outw.setsampwidth(w)
outw.setnchannels(ch)
outw.setframerate(sr)
outw.setnframes(n)
p = pylibpd.libpd_open_patch(patch, folder)
m = pylibpd.PdManager(ch, ch, sr, 1)
for i in range(int(n / 64)):
x = inw.readframes(64)
y = m.process(x)
outw.writeframesraw(y)
r = n % 64
x = inw.readframes(r) + b'\x00' * w * ch * (64 - r)
y = m.process(x)
outw.writeframesraw(y[:w * ch * r])
pylibpd.libpd_close_patch(p)
finally:
inw.close()
outw.close()
def pdfilter(inp, outp, patch, folder = '.'):
inw = wave.open(inp, 'rb')
outw = wave.open(outp, 'wb')
try:
w = inw.getsampwidth()
if w != 2: raise Exception('wrong sample width')
ch = inw.getnchannels()
sr = inw.getframerate()
n = inw.getnframes()
outw.setsampwidth(w)
outw.setnchannels(ch)
outw.setframerate(sr)
outw.setnframes(n)
p = pylibpd.libpd_open_patch(patch, folder)
m = pylibpd.PdManager(ch, ch, sr, 1)
for i in xrange(n / 64):
x = inw.readframes(64)
y = m.process(x)
outw.writeframesraw(y)
r = n % 64
x = inw.readframes(r) + b'\x00' * w * ch * (64 - r)
y = m.process(x)
outw.writeframesraw(y[: w * ch * r])
pylibpd.libpd_close_patch(p)
finally:
inw.close()
outw.close()
def openPatch(self, patch, dir='.'):
"""Open a PD patch and return $0
Args:
patch (str): The file path to the patch
dir (str, optional): The directory the patch is in
Returns:
int: $0 value for this patch
"""
return pd.libpd_open_patch(patch, dir)
import scipy as sp
from scipy.io.wavfile import read, write
import pylibpd as pd
num_chans = 1
sampling_rate = 44100
# open a Pure Data patch
m = pd.PdManager(num_chans, num_chans, sampling_rate, 1)
patch = pd.libpd_open_patch("ring_mod.pd")
# get the default frame size
frame_size = pd.libpd_blocksize()
# read audio file
audio = read("drums.wav")[1]
# process each frame
out = sp.array([], dtype=sp.int16)
for i in range(0, len(audio), frame_size):
f = audio[i:i + frame_size]
p = m.process(f)
p = sp.fromstring(p, sp.int16)
out = sp.hstack((out, p))
# close the patch
pd.libpd_close_patch(patch)
# write the audio file to disk
write("drums_ringmod.wav", 44100, out)
import scipy as sp
from scipy.io.wavfile import read, write
import pylibpd as pd
num_chans = 1
sampling_rate = 44100
# open a Pure Data patch
m = pd.PdManager(num_chans, num_chans, sampling_rate, 1)
patch = pd.libpd_open_patch("ring_mod.pd")
# get the default frame size
frame_size = pd.libpd_blocksize()
# read audio file
audio = read("drums.wav")[1]
# process each frame
out = sp.array([], dtype=sp.int16)
for i in range(0, len(audio), frame_size):
f = audio[i:i+frame_size]
p = m.process(f)
p = sp.fromstring(p, sp.int16)
out = sp.hstack((out, p))
# close the patch
pd.libpd_close_patch(patch)
# write the audio file to disk
write("drums_ringmod.wav", 44100, out)