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def extract_peaks(fp_in):
import os
import math
import librosa
import numpy
import json
from app.settings import app_cfg
if not os.path.exists(fp_in):
print(f"fp_in does not exist: {fp_in}")
return
print(f"Loading {fp_in}")
y, sr = librosa.load(fp_in, sr=None)
sr_10 = sr / 10
steps = math.ceil(y.shape[0] / sr_10)
peaks = numpy.ndarray(steps)
for i in range(steps):
offset_start = math.floor(i * sr_10)
offset_end = math.ceil((i + 1) * sr_10)
slice = y[offset_start:offset_end]
peak = max(abs(slice.min()), slice.max())
peaks[i] = float('%.3f' % peak)
# peaks[i * 2 + 1] = float('%.3f' % slice.max())
return peaks.tolist()
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