def generateSegmentGraphs(segments, filenames, segmentMarkers, tempos):
# training set timeMarkers = [(26.516,131.312),(4.746,172.450),(41.044,201.012),(82.312,175.997),(15.370,46.003),(122.042,213.469),(30.887,122.294),(0.000,272.304),(37.785,195.357),(15.230,195.357),(37.539,172.498),(67.721,157.716),(37.282,125.899),(147.876,325.127),(14.775,192.008),(213.437,298.800),(29.553,86.022),(238.297,294.371),(21.150,193.356),(41.625,138.350)]
# validation set timeMarkers = [(4.0,141.0),(25.0,177.0),(17.0,188.0),(16.0,129.0),(17.0,177.0),(15.0,136.0),(87.0,149.0),(98.0,173.0),(106.0,212.0),(0.0,104.0)]
timeMarkers = [(37,125)]
myMarkers = [(j.index(min(j.that(selection.start_during_range(i[0], i[0]+1.0)))),j.index(min(j.that(selection.start_during_range(i[1], i[1]+10.0))))) for j,i in zip(segments,timeMarkers)]
for i in range(len(segments)):
pyplot.figure(i,(16,9))
windowLen3 = int((16.0/tempos[i])*60.0/(matlib.mean(matlib.array(segments[i].durations))))
lpf3 = signal.lfilter(np.ones(windowLen3)/windowLen3,1,segments[i].loudness_max) + signal.lfilter(np.ones(windowLen3)/windowLen3,1,segments[i].loudness_max[::-1])[::-1]
lpf3 = np.convolve(segments[i].loudness_max,np.ones(windowLen3)/windowLen3)[windowLen3/2:-(windowLen3/2)]
lpf3[0:windowLen3/2] = lpf3[windowLen3/2]
lpf3[-(windowLen3/2):] = lpf3[-(windowLen3/2)]
pyplot.plot(lpf3)
pyplot.xlabel('Segment Number')
pyplot.ylabel('Loudness (dB)')
#pyplot.vlines(segmentMarkers[i][0], min(lpf3), max(segments[i].loudness_max), 'g')
#pyplot.vlines(segmentMarkers[i][1], min(lpf3), max(segments[i].loudness_max), 'g')
pyplot.vlines(myMarkers[i][0], min(lpf3), max(segments[i].loudness_max), 'r')
pyplot.vlines(myMarkers[i][1], min(lpf3), max(segments[i].loudness_max), 'r')
pyplot.legend(["Loudness", #"Autmatically selected start time: " + str(action.humanize_time(segments[i][segmentMarkers[i][0]].start)),
#"Automatically selected end time: " + str(action.humanize_time(segments[i][segmentMarkers[i][1]].start)),
"Manually selected start time: " + str(action.humanize_time(timeMarkers[i][0])),
"Manually selected end time: " + str(action.humanize_time(timeMarkers[i][1]))])
pyplot.title(filenames[i])
pyplot.show()
def display_actions(actions):
total = 0
print "<playlist>"
for a in actions:
total += a.duration
try:
print "%s\t %s\t %s" % (humanize_time(total), round(total, 2), unicode(a))
except AttributeError:
print "%s\t %s\t NA" % (humanize_time(total), round(total, 2))
print "</playlist>"
def display_actions(actions):
total = 0
print "<playlist>"
for a in actions:
total += a.duration
try:
print "%s\t %s\t %s" % (humanize_time(total), round(total,
2), unicode(a))
except AttributeError:
print "%s\t %s\t NA" % (humanize_time(total), round(total, 2))
print "</playlist>"
def display_actions(actions):
total = 0
print
for a in actions:
print "%s\t %s" % (humanize_time(total), unicode(a))
total += a.duration
print
def display_actions(actions):
total = 0
print
for a in actions:
print "%s\t %s" % (humanize_time(total), unicode(a))
total += a.duration
print
