def beatDetection():
stream = micStream.Stream(fps=30, nBuffers=4)
#powerSmooth = lib.ExpFilter(val=1.0, alpha_rise=0.05, alpha_decay=0.05)
powerSmooth = lib.ExpFilter(val=1.0, alpha_rise=0.05, alpha_decay=0.05)
print(stream.freqs.shape)
print(stream.freqs)
print(stream.notes)
for i in range(0, 10):
print(stream.freqsToMelMatrix[0, i * 10:(i + 1) * 10])
powerMinFreqIndex = int(0 / stream.dFreq)
powerMaxFreqIndex = int(250 / stream.dFreq)
thresh = 1.3
recentBeat = 0
powerNorm = np.asarray([0., 0., 0.])
while True:
success = stream.readAndCalc()
if success:
power = np.sum(
stream.freqSpectrum[powerMinFreqIndex:powerMaxFreqIndex])
powerSmooth.update(power)
powerNorm[2] = powerNorm[1]
powerNorm[1] = powerNorm[0]
powerNorm[0] = power / powerSmooth.value
lib.clDisplay(powerNorm[0])
if powerNorm[2] < powerNorm[1] and powerNorm[1] > powerNorm[
0] and powerNorm[1] > thresh and recentBeat <= 0:
recentBeat = 4
print('BEAT ' * 21)
recentBeat -= 1
def chase_beatDetection(brightnessFactor):
# always here
global nStrips, lStrip
client = fastopc.FastOPC('localhost:7890')
# setup
stream = micStream.Stream(fps=30, nBuffers=4)
powerSmooth1 = lib.ExpFilter(val=1.0, alpha_rise=0.05, alpha_decay=0.05)
powerMinFreqIndex1 = int(0 / stream.dFreq)
powerMaxFreqIndex1 = int(120 / stream.dFreq)
beatObj1 = music.Beat(thresh=1.5, waitFrames=5)
powerSmooth2 = lib.ExpFilter(val=1.0, alpha_rise=0.1, alpha_decay=0.1)
powerMinFreqIndex2 = int(9000 / stream.dFreq)
powerMaxFreqIndex2 = int(10000 / stream.dFreq)
beatObj2 = music.Beat(thresh=2.5, waitFrames=2)
dir = 1
pixels = lib.Pixels(nStrips, lStrip, 20)
theoStrip = np.zeros([lStrip * nStrips, 3])
color = 2
for n in range(0, lStrip * nStrips, lStrip // 2 + 2):
theoStrip[n, color] = 255
# loop
while True:
success = stream.readAndCalc()
if success:
power1 = np.sum(
stream.freqSpectrum[powerMinFreqIndex1:powerMaxFreqIndex1])
powerSmooth1.update(power1)
#powerTot = np.sum(stream.freqSpectrum)
powerSmooth1.update(power1)
powerNorm1 = power1 / powerSmooth1.value
beatObj1.update(powerNorm1)
power2 = np.sum(
stream.freqSpectrum[powerMinFreqIndex2:powerMaxFreqIndex2])
powerSmooth2.update(power2)
powerNorm2 = power2 / powerSmooth2.value
beatObj2.update(powerNorm2)
if beatObj1.getBeatStatus() == True:
dir *= -1
theoStrip = np.roll(theoStrip, 1, axis=1)
lib.clDisplay(powerNorm1)
theoStrip = np.roll(theoStrip, dir, axis=0)
pixels.update(theoStrip, 1.0, 0.05)
client.putPixels(0, brightnessFactor * pixels.getArrayForDisplay())
n += dir
time.sleep(0.003)
def beatDetection(brightnessFactor):
# always here
client = fastopc.FastOPC('localhost:7890')
pixels = lib.Pixels(nStrips, lStrip, 0)
theo = np.zeros([lStrip, 3])
stream = micStream.Stream(fps=30, nBuffers=4)
powerSmooth1 = lib.ExpFilter(val=1.0, alpha_rise=0.05, alpha_decay=0.05)
powerMinFreqIndex1 = int(0 / stream.dFreq)
powerMaxFreqIndex1 = int(250 / stream.dFreq)
beatObj1 = music.Beat()
powerSmooth2 = lib.ExpFilter(val=1.0, alpha_rise=0.1, alpha_decay=0.1)
powerMinFreqIndex2 = int(9000 / stream.dFreq)
powerMaxFreqIndex2 = int(10000 / stream.dFreq)
beatObj2 = music.Beat(thresh=2.5, waitFrames=2)
while True:
success = stream.readAndCalc()
if success:
power1 = np.sum(
stream.freqSpectrum[powerMinFreqIndex1:powerMaxFreqIndex1])
powerSmooth1.update(power1)
powerNorm1 = power1 / powerSmooth1.value
beatObj1.update(powerNorm1)
power2 = np.sum(
stream.freqSpectrum[powerMinFreqIndex2:powerMaxFreqIndex2])
powerSmooth2.update(power2)
powerNorm2 = power2 / powerSmooth2.value
beatObj2.update(powerNorm2)
theo[0, :] = 0
theo = np.roll(theo, -1, axis=0)
if beatObj1.getBeatStatus() == True:
theo[-1, 0] = 255
print('BEAT ' * 21)
if beatObj2.getBeatStatus() == True:
theo[-1, 2] = 255
#print('BEAT '*21)
lib.clDisplay(powerNorm2)
pixels.update(theo, 1.0, 0.3)
client.putPixels(0, brightnessFactor * pixels.getArrayForDisplay())