Hi everyone, I’m new in arduino boards, OpenMV and also in Phyton.
I have an Arduino Nicla Vision and I’m trying to extract audio data from integrated microphone. I’ve started using the tutorial code (audio_fft) but I can’t solve anyway this AttributError: ‘module’ object has not attribute ‘spectrogram’.
I don’t know if the problem is a missing library, but I haven’t found how to install it on OpenMV.
Thank you.
This is the code:
import image, audio, time
from ulab import numpy as np
from ulab import scipy as sp
CHANNELS = 1
SIZE = 256//(2*CHANNELS)
raw_buf = None
fb = image.Image(SIZE+50, SIZE, image.RGB565, copy_to_fb=True)
audio.init(channels=CHANNELS, frequency=16000, gain_db=24, highpass=0.9883)
def audio_callback(buf):
# NOTE: do Not call any function that allocates memory.
global raw_buf
if (raw_buf == None):
raw_buf = buf
# Start audio streaming
audio.start_streaming(audio_callback)
def draw_fft(img, fft_buf):
fft_buf = (fft_buf / max(fft_buf)) * SIZE
fft_buf = np.log10(fft_buf + 1) * 20
color = (0xFF, 0x0F, 0x00)
for i in range(0, SIZE):
img.draw_line(i, SIZE, i, SIZE-int(fft_buf[i]), color, 1)
def draw_audio_bar(img, level, offset):
blk_size = SIZE//10
color = (0xFF, 0x00, 0xF0)
blk_space = (blk_size//4)
for i in range(0, int(round(level/10))):
fb.draw_rectangle(SIZE+offset, SIZE - ((i+1)*blk_size) + blk_space, 20, blk_size - blk_space, color, 1, True)
while (True):
if (raw_buf != None):
pcm_buf = np.frombuffer(raw_buf, dtype=np.int16)
raw_buf = None
if CHANNELS == 1:
fft_buf = sp.signal.spectrogram(pcm_buf)
l_lvl = int((np.mean(abs(pcm_buf[1::2])) / 32768)*100)
else:
fft_buf = sp.signal.spectrogram(pcm_buf[0::2])
l_lvl = int((np.mean(abs(pcm_buf[1::2])) / 32768)*100)
r_lvl = int((np.mean(abs(pcm_buf[0::2])) / 32768)*100)
fb.clear()
draw_fft(fb, fft_buf)
draw_audio_bar(fb, l_lvl, 0)
if CHANNELS == 2:
draw_audio_bar(fb, r_lvl, 25)
fb.flush()
# Stop streaming
audio.stop_streaming()`Preformatted text`