def convertToSCV(inputFolder, outputFolder):
"""
Standard function to convert wave files in folders
to their respective csv files
"""
src = files.listDir(inputFolder)
for f in src:
waves = wave.loadWave(inputFolder + f)
frames = wave.getSamples(waves)
files.write(outputFolder + f[:-4] + ".csv", frames)
def convertToSCV(inputFolder, outputFolder):
"""
Standard function to convert wave files in folders
to their respective csv files
"""
src = files.listDir(inputFolder)
for f in src:
waves = wave.loadWave(inputFolder+f)
frames = wave.getSamples(waves)
files.write(outputFolder + f[:-4] + ".csv", frames)
while i < size:
aux = hilbert(data[1][i:i + step])
print(data[0][i])
print(aux)
res = np.append(res, aux)
i += 100
return np.append([range(len(res))], [res], axis=0)
if __name__ == "__main__":
""" Unit tests """
import sys
import utils.waves as wave
import utils.charts as chart
waves = wave.loadWave(sys.argv[2])
result = wave.getSamples(waves)
print(result)
# chart.drawGraph(result)
result = movingAverage(result, sys.argv[1])
print(result)
# chart.drawGraph(result)
result = movingAverage(result, 8)
result = movingAverage(result, 6)
result = movingAverage(np.fliplr(result), 4)
result = movingAverage(result, 8)
result = movingAverage(result, 6)
result = np.fliplr(result)
def stdRun(path):
waves = wave.loadWave(path)
frames = wave.getSamples(waves)
frames = stdClean(frames)
return pul.findBeats(frames, 4, 6)
size = data[0].size - ranges
for i in range(0, size, step):
aux = 0.0
for j in range(ranges):
aux += data[1][i+j]
aux /= ranges
for j in range(ranges):
data[1][i+j] = aux
return data
import sys
import utils.waves as wave
import utils.charts as chart
if __name__ == "__main__":
""" Unit tests """
waves = wave.loadWave(sys.argv[2])
result = wave.getSamples(waves)
print(result)
# chart.drawGraph(result)
result = movingAverage(result, sys.argv[1])
print(result)
# chart.drawGraph(result)
result = movingAverage(result, 8)
result = movingAverage(result, 6)
result = movingAverage(np.fliplr(result), 4)
result = movingAverage(result, 8)
result = movingAverage(result, 6)
result = np.fliplr(result)
