Updated lsl-viewer.py to match new version in muse-lsl

Esse commit está contido em:
jdpigeon
2017-06-30 09:51:42 -04:00
commit bff637a3a3
5 arquivos alterados com 115 adições e 85 exclusões
+23 -17
Ver Arquivo
@@ -1,17 +1,15 @@
#!/usr/bin/env python
## code by Alexandre Barachant
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, filtfilt
from time import time, sleep
from scipy.signal import butter, lfilter, lfilter_zi
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-w", "--window",
@@ -55,6 +53,7 @@ class LSLViewer():
self.dejitter = dejitter
self.inlet = StreamInlet(stream, max_chunklen=buf)
self.filt = True
info = self.inlet.info()
description = info.desc()
@@ -105,6 +104,9 @@ class LSLViewer():
self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
'bandpass')
zi = lfilter_zi(self.bf, self.af)
self.filt_state = np.tile(zi, (self.n_chan, 1)).transpose()
self.data_f = np.zeros((self.n_samples, self.n_chan))
def update_plot(self):
k = 0
@@ -112,33 +114,37 @@ class LSLViewer():
samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
max_samples=12)
if timestamps:
self.data = np.vstack([self.data, samples])
if self.dejitter:
timestamps = np.float64(np.arange(len(timestamps)))
timestamps /= self.sfreq
timestamps += self.times[-1] + 1./self.sfreq
self.times = np.concatenate([self.times, timestamps])
self.n_samples = int(self.sfreq * self.window)
self.data = self.data[-self.n_samples:]
self.times = self.times[-self.n_samples:]
self.data = np.vstack([self.data, samples])
self.data = self.data[-self.n_samples:]
filt_samples, self.filt_state = lfilter(
self.bf, self.af,
samples,
axis=0, zi=self.filt_state)
self.data_f = np.vstack([self.data_f, filt_samples])
self.data_f = self.data_f[-self.n_samples:]
k += 1
if k == self.display_every:
if self.filt:
data_f = filtfilt(self.bf, self.af, self.data, axis=0)
else:
data_f = self.data
data_f -= data_f.mean(axis=0)
if self.filt:
plot_data = self.data_f
elif not self.filt:
plot_data = self.data - self.data.mean(axis=0)
for ii in range(self.n_chan):
self.lines[ii].set_xdata(self.times[::subsample] -
self.times[-1])
self.lines[ii].set_ydata(data_f[::subsample, ii] /
self.lines[ii].set_ydata(plot_data[::subsample, ii] /
self.scale - ii)
impedances = np.std(plot_data, axis=0)
impedances = np.std(data_f, axis=0)
ticks_labels = ['%s - %.2f' %
(self.ch_names[ii], impedances[ii])
ticks_labels = ['%s - %.2f' % (self.ch_names[ii],
impedances[ii])
for ii in range(self.n_chan)]
self.axes.set_yticklabels(ticks_labels)
self.axes.set_xlim(-self.window, 0)
+23 -17
Ver Arquivo
@@ -1,17 +1,15 @@
#!/usr/bin/env python
## code by Alexandre Barachant
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, filtfilt
from time import time, sleep
from scipy.signal import butter, lfilter, lfilter_zi
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-w", "--window",
@@ -55,6 +53,7 @@ class LSLViewer():
self.dejitter = dejitter
self.inlet = StreamInlet(stream, max_chunklen=buf)
self.filt = True
info = self.inlet.info()
description = info.desc()
@@ -105,6 +104,9 @@ class LSLViewer():
self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
'bandpass')
zi = lfilter_zi(self.bf, self.af)
self.filt_state = np.tile(zi, (self.n_chan, 1)).transpose()
self.data_f = np.zeros((self.n_samples, self.n_chan))
def update_plot(self):
k = 0
@@ -112,33 +114,37 @@ class LSLViewer():
samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
max_samples=12)
if timestamps:
self.data = np.vstack([self.data, samples])
if self.dejitter:
timestamps = np.float64(np.arange(len(timestamps)))
timestamps /= self.sfreq
timestamps += self.times[-1] + 1./self.sfreq
self.times = np.concatenate([self.times, timestamps])
self.n_samples = int(self.sfreq * self.window)
self.data = self.data[-self.n_samples:]
self.times = self.times[-self.n_samples:]
self.data = np.vstack([self.data, samples])
self.data = self.data[-self.n_samples:]
filt_samples, self.filt_state = lfilter(
self.bf, self.af,
samples,
axis=0, zi=self.filt_state)
self.data_f = np.vstack([self.data_f, filt_samples])
self.data_f = self.data_f[-self.n_samples:]
k += 1
if k == self.display_every:
if self.filt:
data_f = filtfilt(self.bf, self.af, self.data, axis=0)
else:
data_f = self.data
data_f -= data_f.mean(axis=0)
if self.filt:
plot_data = self.data_f
elif not self.filt:
plot_data = self.data - self.data.mean(axis=0)
for ii in range(self.n_chan):
self.lines[ii].set_xdata(self.times[::subsample] -
self.times[-1])
self.lines[ii].set_ydata(data_f[::subsample, ii] /
self.lines[ii].set_ydata(plot_data[::subsample, ii] /
self.scale - ii)
impedances = np.std(plot_data, axis=0)
impedances = np.std(data_f, axis=0)
ticks_labels = ['%s - %.2f' %
(self.ch_names[ii], impedances[ii])
ticks_labels = ['%s - %.2f' % (self.ch_names[ii],
impedances[ii])
for ii in range(self.n_chan)]
self.axes.set_yticklabels(ticks_labels)
self.axes.set_xlim(-self.window, 0)
+23 -17
Ver Arquivo
@@ -1,17 +1,15 @@
#!/usr/bin/env python
## code by Alexandre Barachant
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, filtfilt
from time import time, sleep
from scipy.signal import butter, lfilter, lfilter_zi
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-w", "--window",
@@ -55,6 +53,7 @@ class LSLViewer():
self.dejitter = dejitter
self.inlet = StreamInlet(stream, max_chunklen=buf)
self.filt = True
info = self.inlet.info()
description = info.desc()
@@ -105,6 +104,9 @@ class LSLViewer():
self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
'bandpass')
zi = lfilter_zi(self.bf, self.af)
self.filt_state = np.tile(zi, (self.n_chan, 1)).transpose()
self.data_f = np.zeros((self.n_samples, self.n_chan))
def update_plot(self):
k = 0
@@ -112,33 +114,37 @@ class LSLViewer():
samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
max_samples=12)
if timestamps:
self.data = np.vstack([self.data, samples])
if self.dejitter:
timestamps = np.float64(np.arange(len(timestamps)))
timestamps /= self.sfreq
timestamps += self.times[-1] + 1./self.sfreq
self.times = np.concatenate([self.times, timestamps])
self.n_samples = int(self.sfreq * self.window)
self.data = self.data[-self.n_samples:]
self.times = self.times[-self.n_samples:]
self.data = np.vstack([self.data, samples])
self.data = self.data[-self.n_samples:]
filt_samples, self.filt_state = lfilter(
self.bf, self.af,
samples,
axis=0, zi=self.filt_state)
self.data_f = np.vstack([self.data_f, filt_samples])
self.data_f = self.data_f[-self.n_samples:]
k += 1
if k == self.display_every:
if self.filt:
data_f = filtfilt(self.bf, self.af, self.data, axis=0)
else:
data_f = self.data
data_f -= data_f.mean(axis=0)
if self.filt:
plot_data = self.data_f
elif not self.filt:
plot_data = self.data - self.data.mean(axis=0)
for ii in range(self.n_chan):
self.lines[ii].set_xdata(self.times[::subsample] -
self.times[-1])
self.lines[ii].set_ydata(data_f[::subsample, ii] /
self.lines[ii].set_ydata(plot_data[::subsample, ii] /
self.scale - ii)
impedances = np.std(plot_data, axis=0)
impedances = np.std(data_f, axis=0)
ticks_labels = ['%s - %.2f' %
(self.ch_names[ii], impedances[ii])
ticks_labels = ['%s - %.2f' % (self.ch_names[ii],
impedances[ii])
for ii in range(self.n_chan)]
self.axes.set_yticklabels(ticks_labels)
self.axes.set_xlim(-self.window, 0)
+23 -17
Ver Arquivo
@@ -1,17 +1,15 @@
#!/usr/bin/env python
## code by Alexandre Barachant
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, filtfilt
from time import time, sleep
from scipy.signal import butter, lfilter, lfilter_zi
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-w", "--window",
@@ -55,6 +53,7 @@ class LSLViewer():
self.dejitter = dejitter
self.inlet = StreamInlet(stream, max_chunklen=buf)
self.filt = True
info = self.inlet.info()
description = info.desc()
@@ -105,6 +104,9 @@ class LSLViewer():
self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
'bandpass')
zi = lfilter_zi(self.bf, self.af)
self.filt_state = np.tile(zi, (self.n_chan, 1)).transpose()
self.data_f = np.zeros((self.n_samples, self.n_chan))
def update_plot(self):
k = 0
@@ -112,33 +114,37 @@ class LSLViewer():
samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
max_samples=12)
if timestamps:
self.data = np.vstack([self.data, samples])
if self.dejitter:
timestamps = np.float64(np.arange(len(timestamps)))
timestamps /= self.sfreq
timestamps += self.times[-1] + 1./self.sfreq
self.times = np.concatenate([self.times, timestamps])
self.n_samples = int(self.sfreq * self.window)
self.data = self.data[-self.n_samples:]
self.times = self.times[-self.n_samples:]
self.data = np.vstack([self.data, samples])
self.data = self.data[-self.n_samples:]
filt_samples, self.filt_state = lfilter(
self.bf, self.af,
samples,
axis=0, zi=self.filt_state)
self.data_f = np.vstack([self.data_f, filt_samples])
self.data_f = self.data_f[-self.n_samples:]
k += 1
if k == self.display_every:
if self.filt:
data_f = filtfilt(self.bf, self.af, self.data, axis=0)
else:
data_f = self.data
data_f -= data_f.mean(axis=0)
if self.filt:
plot_data = self.data_f
elif not self.filt:
plot_data = self.data - self.data.mean(axis=0)
for ii in range(self.n_chan):
self.lines[ii].set_xdata(self.times[::subsample] -
self.times[-1])
self.lines[ii].set_ydata(data_f[::subsample, ii] /
self.lines[ii].set_ydata(plot_data[::subsample, ii] /
self.scale - ii)
impedances = np.std(plot_data, axis=0)
impedances = np.std(data_f, axis=0)
ticks_labels = ['%s - %.2f' %
(self.ch_names[ii], impedances[ii])
ticks_labels = ['%s - %.2f' % (self.ch_names[ii],
impedances[ii])
for ii in range(self.n_chan)]
self.axes.set_yticklabels(ticks_labels)
self.axes.set_xlim(-self.window, 0)
+23 -17
Ver Arquivo
@@ -1,17 +1,15 @@
#!/usr/bin/env python
## code by Alexandre Barachant
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, filtfilt
from time import time, sleep
from scipy.signal import butter, lfilter, lfilter_zi
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-w", "--window",
@@ -55,6 +53,7 @@ class LSLViewer():
self.dejitter = dejitter
self.inlet = StreamInlet(stream, max_chunklen=buf)
self.filt = True
info = self.inlet.info()
description = info.desc()
@@ -105,6 +104,9 @@ class LSLViewer():
self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
'bandpass')
zi = lfilter_zi(self.bf, self.af)
self.filt_state = np.tile(zi, (self.n_chan, 1)).transpose()
self.data_f = np.zeros((self.n_samples, self.n_chan))
def update_plot(self):
k = 0
@@ -112,33 +114,37 @@ class LSLViewer():
samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
max_samples=12)
if timestamps:
self.data = np.vstack([self.data, samples])
if self.dejitter:
timestamps = np.float64(np.arange(len(timestamps)))
timestamps /= self.sfreq
timestamps += self.times[-1] + 1./self.sfreq
self.times = np.concatenate([self.times, timestamps])
self.n_samples = int(self.sfreq * self.window)
self.data = self.data[-self.n_samples:]
self.times = self.times[-self.n_samples:]
self.data = np.vstack([self.data, samples])
self.data = self.data[-self.n_samples:]
filt_samples, self.filt_state = lfilter(
self.bf, self.af,
samples,
axis=0, zi=self.filt_state)
self.data_f = np.vstack([self.data_f, filt_samples])
self.data_f = self.data_f[-self.n_samples:]
k += 1
if k == self.display_every:
if self.filt:
data_f = filtfilt(self.bf, self.af, self.data, axis=0)
else:
data_f = self.data
data_f -= data_f.mean(axis=0)
if self.filt:
plot_data = self.data_f
elif not self.filt:
plot_data = self.data - self.data.mean(axis=0)
for ii in range(self.n_chan):
self.lines[ii].set_xdata(self.times[::subsample] -
self.times[-1])
self.lines[ii].set_ydata(data_f[::subsample, ii] /
self.lines[ii].set_ydata(plot_data[::subsample, ii] /
self.scale - ii)
impedances = np.std(plot_data, axis=0)
impedances = np.std(data_f, axis=0)
ticks_labels = ['%s - %.2f' %
(self.ch_names[ii], impedances[ii])
ticks_labels = ['%s - %.2f' % (self.ch_names[ii],
impedances[ii])
for ii in range(self.n_chan)]
self.axes.set_yticklabels(ticks_labels)
self.axes.set_xlim(-self.window, 0)