def callback(in_data, frame_count, time_info, status):
in_data = wf.readframes(frame_count)
frames = list(quietnet.chunks(quietnet.unpack(in_data), chunk))
for frame in frames:
if not in_frames.full():
in_frames.put(frame, False)
return (in_data, pyaudio.paContinue)
frame_length = options.frame_length
chunk = options.chunk
search_freq = options.freq
rate = options.rate
sigil = [int(x) for x in options.sigil]
frames_per_buffer = chunk * 10
in_length = 4000
in_frames = Queue.Queue(in_length)
points = Queue.Queue(in_length)
bits = Queue.Queue(in_length / frame_length)
bottom_threshold = 8000
rate, in_data = wav.read('Amogh.wav')
print(in_data)
#This is the Flow of Data needed to be Process points-->Process Frames-->Process bits-->Text Output
#In_data is the Raw data which is taken from Wav
frames = list(quietnet.chunks(quietnet.unpack(in_data), chunk))
#This is the outermost for loop ( Frame wise Division)
for frame in frames:
# Fill all the incomming data to the frame till it is filled completly
if not in_frames.full():
in_frames.put(frame, False)
#Once the frame is full with required data
if in_frames.full():
frame = in_frames.get(False)
fft = quietnet.fft(frame)
point = quietnet.has_freq(fft, search_freq, rate, chunk)
points.put(point)
cur_points = []
while len(cur_points) < frame_length:
def callback(in_data, frame_count, time_info, status):
frames = list(quietnet.chunks(quietnet.unpack(in_data), chunk))
for frame in frames:
if not in_frames.full():
in_frames.put(frame, False)
return (in_data, pyaudio.paContinue)