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import pyfirmata | |
import time | |
import serial.tools.list_ports | |
ports = list(serial.tools.list_ports.comports()) | |
Arduino_ports = [] | |
for p in ports: | |
if 'Arduino' in p.description: |
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import serial.tools.list_ports | |
ports = list(serial.tools.list_ports.comports()) | |
Arduino_ports = [] | |
for p in ports: | |
if 'Arduino' in p.description: | |
Arduino_ports.append(p) | |
print("Board detected at") | |
if len(Arduino_ports) == 0: | |
print("no Arduino board detected") |
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def conv_model(): | |
model = Sequential() | |
model.add(Conv2D(16, (3, 3), activation='relu', strides=(1, 1), | |
padding='same', input_shape=input_shape)) | |
model.add(Conv2D(32, (3, 3), activation='relu', strides=(1,1), | |
padding='same')) | |
model.add(Conv2D(64, (3, 3), activation='relu', strides=(1,1), | |
padding='same')) | |
model.add(Conv2D(128, (3, 3), activation='relu', strides=(1,1), | |
padding='same')) |
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def envelope(y, rate, threshold): | |
mask = [] | |
y = pd.Series(y).apply(np.abs) | |
y_mean = y.rolling(window=int(rate/10), min_periods=1, center=True).mean() | |
for mean in y_mean: | |
if mean > threshold: | |
mask.append(True) | |
else: | |
mask.append(False) | |
return mask |
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self.FORMAT = pyaudio.paInt16 | |
self.CHANNELS = 1 | |
self.RATE = 44100 | |
self.CHUNK = 1024 | |
self.WAVE_OUTPUT_FILENAME = "file.wav" | |
self.RECORD_SECONDS = 20 | |
def record(self): | |
self.audio = pyaudio.PyAudio() | |
# start Recording |