def handle(self, *args, **options):
#reader = csv.reader(open('/home/jasonhideki/songscape/www/media/snippets/snippets.csv'))
#trying out using outputs.csv instead:
reader = csv.reader(open('/home/jasonhideki/songscape/output.csv'))
for i, row in enumerate(reader):
if i:
try:
path = row[0]
offset = float(row[1])
duration = float(row[2])
md5 = hashlib.md5(open(path).read()).hexdigest()
print i, md5, path
recording = Recording.objects.get(md5=md5)
snippet = Snippet.objects.get(recording=recording,
offset=offset,
duration=duration)
wavy.slice_wave(
path,
os.path.join(BASE_DIR, snippet.get_soundfile_name()),
offset, duration, 8000)
except Recording.DoesNotExist:
print "Can't find the recording on row %s at path %s" % (
i, path)
except:
print 'Something went wrong on row %s with recording %s' % (
i, path)
raise
def save_soundfile(self, replace=False, path='', max_framerate=None):
filename = self.get_soundfile_name()
if not path:
name = os.path.join(settings.SNIPPET_DIR, filename)
path = os.path.join(settings.MEDIA_ROOT, name)
else:
path = os.path.join(path, filename)
try:
if not os.path.exists(path):
colonpath = path.replace(':', '_')
if os.path.exists(colonpath):
filename = filename.replace(':', '_')
path = colonpath
replace = False
else:
replace = True
except (ValueError, SuspiciousOperation, AttributeError):
replace = True
if replace:
wav_file = open(path, 'w')
wavy.slice_wave(settings.RECORDINGS_ROOT,
wav_file,
self.offset,
self.duration,
max_framerate=max_framerate)
wav_file.close()
return filename
def handle(self, *args, **options):
reader = csv.reader(
open(
'/home/jasonhideki/songscape/www/media/snippets/snippets.csv'))
#remove header row
reader.next()
#make a list of all the unique recording paths that don't have serial number 000000
Recordings = []
for row in reader:
if row[0] not in Recordings and row[0][16:22] != '000000':
Recordings.append(row[0])
#for every unique recording, pick 5 random snippet rows
random_rows = []
for i in range(len(Recordings)):
random_numbers = []
while len(random_numbers) < 5:
random_number = random.randrange(2 + i * 60, 63 + i * 60, 1)
if random_number not in random_numbers:
random_numbers.append(random_number)
random_rows.extend(random_numbers)
reader = csv.reader(
open(
'/home/jasonhideki/songscape/www/media/snippets/snippets.csv'))
reader.next()
writer = open("output.csv", 'wb')
writer = csv.writer(writer, delimiter=',')
for i, row in enumerate(reader):
if i in random_rows:
#print("This is the line.")
#print(row)
writer.writerow(row)
#extract snippets based on output.csv
reader = csv.reader(open('/home/jasonhideki/songscape/output.csv'))
for i, row in enumerate(reader):
if i:
try:
path = row[0]
offset = float(row[1])
duration = float(row[2])
md5 = hashlib.md5(open(path).read()).hexdigest()
print i, md5, path
#changed get criteria to path because weather test 000000 files have the same md5 as their non-000000 counterparts
recording = Recording.objects.get(path=path)
#recording = Recording.objects.get(md5 = md5)
snippet = Snippet.objects.get(recording=recording,
offset=offset,
duration=duration)
wavy.slice_wave(
path,
os.path.join(BASE_DIR, snippet.get_soundfile_name()),
offset, duration, 8000)
except Recording.DoesNotExist:
print "Can't find the recording on row %s at path %s" % (
i, path)
except:
print 'Something went wrong on row %s with recording %s' % (
i, path)
raise
def save_soundfile(self, replace=False, path="", max_framerate=None):
filename = self.get_soundfile_name()
if not path:
name = os.path.join(settings.SNIPPET_DIR, filename)
path = os.path.join(settings.MEDIA_ROOT, name)
else:
path = os.path.join(path, filename)
try:
if not os.path.exists(path):
replace = True
except (ValueError, SuspiciousOperation, AttributeError):
replace = True
if replace:
wav_file = open(path, "w")
wavy.slice_wave(self.recording.path, wav_file, self.offset, self.duration, max_framerate=max_framerate)
wav_file.close()
return filename
def handle(self, *args, **options):
reader = csv.reader(open(args[0]))
for i, row in enumerate(reader):
if i:
try:
path = row[0]
offset = float(row[1])
duration = float(row[2])
md5 = hashlib.md5(open(path).read()).hexdigest()
print i, md5, path
recording = Recording.objects.get(md5 = md5)
snippet = Snippet.objects.get(recording=recording, offset=offset, duration=duration)
wavy.slice_wave(path, os.path.join(BASE_DIR, snippet.get_soundfile_name()), offset, duration, 8000)
except Recording.DoesNotExist:
print "Can't find the recording on row %s at path %s" % (i, path)
except:
print 'Something went wrong on row %s with recording %s' % (i, path)
raise
source = sys.argv[1]
audio = wavy.get_audio(source)
print audio
print(len(audio[0]))
#convert to length
no_channels = 2.0
frequency = 44100
print('Length of file is: ' +
str(float(len(audio[0]) / (no_channels * frequency))) + ' seconds')
#for i in audio:
# print(i)
#attempting to slice
wav_file = open("stitchout.wav", 'w')
wavy.slice_wave(
source, wav_file, 0,
0.5) #input file, output file, start in seconds, duraction in seconds
wav_file.close()
#spectrogram of sliced file
plt.figure(1)
nfft = 1024
fs = 256
Pxx, freqs, bins, im = plt.specgram(audio[0], nfft, fs)
plt.savefig('stitch_specgram.jpg', dpi=100)
os.makedirs(source+"_results/audio/bird")
if not os.path.exists(source+"_results/audio/not_bird"):
os.makedirs(source+"_results/audio/not_bird")
if not os.path.exists(source+"_results/imgs/bird"):
os.makedirs(source+"_results/imgs/bird")
if not os.path.exists(source+"_results/imgs/not_bird"):
os.makedirs(source+"_results/imgs/not_bird")
duration = 1 #Half a second
offset = 0;
#attempting to slice
while(offset + duration < float(len(audio[0])/(no_channels*frequency))):
suffix = str(offset) + "-" + str(offset + duration)
wav_file = open(source + "_results/audio/audio_"+ suffix + ".wav", 'w')
wavy.slice_wave(source, wav_file, offset, duration) #input file, output file, start in seconds, duration in seconds
wav_file.close()
#print("Segment: " + suffix)
fragment = wavy.get_audio(source + "_results/audio/audio_"+ suffix + ".wav")
#spectrogram of sliced file
plt.figure(1)
nfft=1024
fs=256#Sampling frequency
plt.clf()
plt.cla()
Pxx, freqs, bins, im = plt.specgram(fragment[0], nfft, fs, cmap='binary', vmin = 0, vmax = 200)
plt.axis('off')
plt.savefig(source + '_results/imgs/' + suffix + '_specgram.jpg', dpi=100, bbox_inches='tight')
rows = []
cols = []
def setUp(self):
self.one_second = StringIO()
slice_wave('test/three-second.wav', self.one_second, offset=1, duration=1)
self.low_framerate = StringIO()
slice_wave('test/three-second.wav', self.low_framerate, max_framerate=4000)