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Revert FFT ulab example to older API.
* Will not update ulab in this release.
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@ -1,6 +1,5 @@
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import image, audio, time
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from ulab import numpy as np
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from ulab import scipy as sp
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import image, audio, time, array, math, ulab as np
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from ulab import extras, numerical
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SIZE = 512//4
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raw_buf = None
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@ -18,7 +17,7 @@ audio.start_streaming(audio_callback)
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def draw_fft(img, fft_buf):
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fft_buf = (fft_buf / max(fft_buf)) * SIZE
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fft_buf = np.log10(fft_buf + 1) * 20
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fft_buf = np.vector.log10(fft_buf + 1) * 20
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color = (0xFF, 0x0F, 0x00)
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for i in range(0, SIZE):
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img.draw_line(i, SIZE, i, SIZE-int(fft_buf[i]), color, 1)
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@ -32,11 +31,11 @@ def draw_audio_bar(img, level, offset):
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while (True):
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if (raw_buf != None):
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pcm_buf = np.frombuffer(raw_buf, dtype=np.int16)
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pcm_buf = pcm_buf = np.array(array.array('h', raw_buf))
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raw_buf = None
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fft_buf = sp.signal.spectrogram(pcm_buf[0::2])
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l_lvl = int((np.mean(abs(pcm_buf[1::2])) / 32768)*100)
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r_lvl = int((np.mean(abs(pcm_buf[0::2])) / 32768)*100)
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fft_buf = extras.spectrogram(pcm_buf[0::2])
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l_lvl = int((numerical.mean(abs(pcm_buf[1::2])) / 32768)*100)
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r_lvl = int((numerical.mean(abs(pcm_buf[0::2])) / 32768)*100)
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fb.clear()
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draw_fft(fb, fft_buf)
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draw_audio_bar(fb, l_lvl, 0)
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