bpm = 0
nsamps = len(samps)
window_samps = int(SAMPLE_DURATION*SAMPLE_RATE)
samps_ndx = 0; #first sample in window_ndx
max_window_ndx = nsamps / window_samps;
bpms = numpy.zeros(max_window_ndx)
#iterate through all windows
for window_ndx in xrange(1,max_window_ndx):
#get a new set of samples
data = samps[samps_ndx:samps_ndx+window_samps]
if not ((len(data) % window_samps) == 0):
raise AssertionError( str(len(data) ) )
bpm, correl_temp = bpm_detector.bpm_detector(data,fs)
#print bpm
#assert False
if bpm == []:
continue
bpms[window_ndx] = bpm
correl = correl_temp
#iterate at the end of the loop
samps_ndx = samps_ndx+window_samps;
bpm = numpy.median(bpms)
print 'Completed. Estimated Beats Per Minute:', bpm
n = range(0,len(correl))
plt.plot(n,correl);
while True and n > 0:
if i % (SAMPLES_PER_SECOND) == 0: print i / (SAMPLES_PER_SECOND),
data = inStream.read(CHUNKSIZE)
frame = numpy.fromstring(data, dtype=numpy.int16)
frames.append(frame)
#print frame
if i % (SAMPLES_PER_SECOND * SAMPLE_DURATION) == 0 and i > 0:
print
numpydata = numpy.hstack(frames)
samps,fs = bpm_detector.read_wav(numpydata)
#data = samps[0:window_samps]
bpm, correl_temp = bpm_detector.bpm_detector(samps,fs)
# Reset stuff
frames = []
n -= 1
i += 1
#numpydata = numpy.hstack(frames)
print "Recording finished, analysing"
while True and n > 0: if i % (SAMPLES_PER_SECOND) == 0: print i / (SAMPLES_PER_SECOND), data = inStream.read(CHUNKSIZE) frame = numpy.fromstring(data, dtype=numpy.int16) frames.append(frame) #print frame if i % (SAMPLES_PER_SECOND * SAMPLE_DURATION) == 0 and i > 0: print numpydata = numpy.hstack(frames) samps,fs = bpm_detector.read_wav(numpydata) #data = samps[0:window_samps] bpm, correl_temp = bpm_detector.bpm_detector(samps,fs) # Reset stuff frames = [] n -= 1 i += 1 #numpydata = numpy.hstack(frames) print "Recording finished, analysing"
