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test_audio.py
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297 lines (237 loc) · 10.3 KB
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from ffmpegio import audio, probe, FilterGraph
import tempfile
import re
import logging
from os import path
import pytest
import numpy as np
from io import BytesIO
from namedpipe import NPopen
logging.basicConfig(level=logging.DEBUG)
def test_create():
fs = 8000
fs, x = audio.create(
"aevalsrc",
"sin(420*2*PI*t)|cos(430*2*PI*t)",
d=1,
nb_samples=fs,
sample_rate=fs,
show_log=True,
)
assert x["shape"] == (fs, 2)
# x = audio.create(
# "flite",
# text="The rainbow is a division of white light into many beautiful colors.",
# nb_samples=1024 * 8,
# )
# assert x['shape'] == (1024 * 8, 1)
fs, x = audio.create("anoisesrc", d=60, c="pink", r=44100, a=0.5)
print(x["shape"], 60 * 44100)
assert x["shape"] == (60 * 44100,)
fs, x = audio.create("sine", f=220, b=4, d=5)
print(x["shape"], 5 * 44100)
assert x["shape"] == (5 * 44100,)
@pytest.mark.skip(reason="takes too long to test")
def test_read_url():
rid = 1
url = f"http://www.stimmdatenbank.coli.uni-saarland.de/csl2wav.php4?file={rid}-i_n"
fs, x = audio.read(url)
print(fs, x["shape"])
def test_read():
url = "tests/assets/testaudio-1m.mp3"
T = 0.51111
T = 0.49805
fs, x = audio.read(url, t=T, show_log=True)
print(fs * T, round(fs * T), x["shape"])
assert round(fs * T) == x["shape"][0]
T = 1.5
t0 = 0.5
fs, x1 = audio.read(url, ss=t0, to=t0 + T)
print(int(fs * T), x1["shape"])
assert round(fs * T) == x1["shape"][0]
# n0 = int(t0 * fs)
# N = int(T * fs)
# fs, x2 = audio.read(url, ss=n0, t=N, units="samples")
# assert x1['shape'] == x2.shape
# assert np.array_equal(x1, x2)
def test_read_af():
url = "tests/assets/testaudio-1m.mp3"
T = 0.51111
T = 0.49805
fs, x = audio.read(
url, t=T, show_log=True, af="aresample=8000,channelmap=map=FL-FC"
)
assert fs == 8000
assert len(x["shape"]) == 1
def test_read_filter():
url = "tests/assets/testaudio-1m.mp3"
T = 0.51111
T = 0.49805
fs, x = audio.read(
[url,url], t=T, show_log=True, filter_complex="[0][1]amix[mixed]",map='[mixed]'
)
def test_read_write():
url = "tests/assets/testaudio-1m.mp3"
outext = ".flac"
fs, x = audio.read(url)
with tempfile.TemporaryDirectory() as tmpdirname:
print(probe.audio_streams_basic(url))
out_url = path.join(tmpdirname, re.sub(r"\..*?$", outext, path.basename(url)))
print(out_url)
print(x["shape"], x["dtype"])
audio.write(out_url, fs, x)
fs, y = audio.read(out_url, sample_fmt="flt")
print(probe.audio_streams_basic(out_url))
out_url = path.join(tmpdirname, re.sub(r"\..*?$", ".wav", path.basename(url)))
audio.write(out_url, fs, x, acodec="pcm_s16le", loglevel="fatal", show_log=True)
print(probe.audio_streams_basic(out_url))
def test_filter():
input_rate = 44100
input = {
"buffer": b"\xef" * input_rate * 2,
"dtype": "<i2",
"shape": (input_rate, 1),
}
expr = FilterGraph(
[
[
("channelmap", {"channel_layout": "stereo", "map": "FC|FC"}),
("bandpass", {"channels": "FL"}),
("aresample", 22050),
]
],
)
output_rate, output = audio.filter(
expr, input_rate, input, show_log=True, loglevel="verbose"
)
assert output_rate == 22050
assert output["shape"] == (22050, 2)
assert output["dtype"] == input["dtype"]
# force output format and rate
output_rate, output = audio.filter(
expr, input_rate, input, ar=44100, sample_fmt="s16"
)
assert output_rate == 44100
assert output["shape"] == (44100, 2)
assert output["dtype"] == "<i2"
# complex filtergraph
expr = FilterGraph(
[[("anoisesrc", 44100, {"color": "pink"}), ("amerge",)]],
{"in": [(0, 1, 0), None], "out": [None, (0, 1, 0)]},
)
output_rate, output = audio.filter(expr, input_rate, input)
assert output_rate == 44100
assert output["shape"] == (44100, 2)
assert output["dtype"] == "<i2"
output_rate, output = audio.filter("[in]bandpass[out]", input_rate, input)
def test_read_buffin():
url = "tests/assets/testaudio-1m.mp3"
T = 0.49805
with open(url, "rb") as f:
b = f.read()
fs, x = audio.read(b, t=T, show_log=True)
assert round(fs * T) == x["shape"][0]
def test_read_fileobj():
url = "tests/assets/testaudio-1m.mp3"
T = 0.49805
with open(url, "rb") as f:
fs, x = audio.read(f, t=T, show_log=True)
assert round(fs * T) == x["shape"][0]
def test_write_buffout():
fs = 16000
x = np.random.randint(-(2**15), 2**15, fs, np.int16)
out = audio.write("-", fs, x, f="flv", acodec="aac", show_log=True)
assert len(out) > 0
def test_write_fileobj():
fs = 16000
x = np.random.randint(-(2**15), 2**15, fs, np.int16)
with tempfile.TemporaryDirectory() as tmpdirname:
url = path.join(tmpdirname, "test.flv")
with open(url, "wb") as f:
audio.write(f, fs, x, f="flv", acodec="aac", show_log=True)
if __name__ == "__main__":
import logging
logging.basicConfig(level=logging.DEBUG)
import ffmpegio
logging.basicConfig(level=logging.DEBUG)
url = "tests/assets/sample.mp4"
# url = "C:/Users/tikuma/Downloads/BigBuckBunny.mp4"
# url = 'tests/assets/imgs/testimage-%d.png'
out = ffmpegio.audio.detect(url, d=0.5, noise=0.01, mono=False)
print(out)
# silencedetect
# volumedetect
# [Parsed_volumedetect_0 @ 0000022d711cabc0] n_samples: 5292000
# [Parsed_volumedetect_0 @ 0000022d711cabc0] mean_volume: -23.0 dB
# [Parsed_volumedetect_0 @ 0000022d711cabc0] max_volume: -19.9 dB
# [Parsed_volumedetect_0 @ 0000022d711cabc0] histogram_19db: 84401
# astats
# [Parsed_astats_0 @ 000002212ea9bb40] Channel: 1
# [Parsed_astats_0 @ 000002212ea9bb40] DC offset: 0.000002
# [Parsed_astats_0 @ 000002212ea9bb40] Min level: -0.101331
# [Parsed_astats_0 @ 000002212ea9bb40] Max level: 0.101160
# [Parsed_astats_0 @ 000002212ea9bb40] Min difference: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Max difference: 0.005601
# [Parsed_astats_0 @ 000002212ea9bb40] Mean difference: 0.003248
# [Parsed_astats_0 @ 000002212ea9bb40] RMS difference: 0.003608
# [Parsed_astats_0 @ 000002212ea9bb40] Peak level dB: -19.885174
# [Parsed_astats_0 @ 000002212ea9bb40] RMS level dB: -23.023746
# [Parsed_astats_0 @ 000002212ea9bb40] RMS peak dB: -22.977582
# [Parsed_astats_0 @ 000002212ea9bb40] RMS trough dB: -23.080884
# [Parsed_astats_0 @ 000002212ea9bb40] Crest factor: 1.435253
# [Parsed_astats_0 @ 000002212ea9bb40] Flat factor: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Peak count: 11
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor dB: -19.958742
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor count: 37870
# [Parsed_astats_0 @ 000002212ea9bb40] Bit depth: 32/32
# [Parsed_astats_0 @ 000002212ea9bb40] Dynamic range: 130.766612
# [Parsed_astats_0 @ 000002212ea9bb40] Zero crossings: 43076
# [Parsed_astats_0 @ 000002212ea9bb40] Zero crossings rate: 0.016280
# [Parsed_astats_0 @ 000002212ea9bb40] Number of NaNs: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Number of Infs: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Number of denormals: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Channel: 2
# [Parsed_astats_0 @ 000002212ea9bb40] DC offset: 0.000001
# [Parsed_astats_0 @ 000002212ea9bb40] Min level: -0.101070
# [Parsed_astats_0 @ 000002212ea9bb40] Max level: 0.101215
# [Parsed_astats_0 @ 000002212ea9bb40] Min difference: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Max difference: 0.005738
# [Parsed_astats_0 @ 000002212ea9bb40] Mean difference: 0.003271
# [Parsed_astats_0 @ 000002212ea9bb40] RMS difference: 0.003633
# [Parsed_astats_0 @ 000002212ea9bb40] Peak level dB: -19.895119
# [Parsed_astats_0 @ 000002212ea9bb40] RMS level dB: -23.024514
# [Parsed_astats_0 @ 000002212ea9bb40] RMS peak dB: -22.976440
# [Parsed_astats_0 @ 000002212ea9bb40] RMS trough dB: -23.080960
# [Parsed_astats_0 @ 000002212ea9bb40] Crest factor: 1.433738
# [Parsed_astats_0 @ 000002212ea9bb40] Flat factor: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Peak count: 20
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor dB: -19.948194
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor count: 205458
# [Parsed_astats_0 @ 000002212ea9bb40] Bit depth: 32/32
# [Parsed_astats_0 @ 000002212ea9bb40] Dynamic range: 122.661078
# [Parsed_astats_0 @ 000002212ea9bb40] Zero crossings: 43375
# [Parsed_astats_0 @ 000002212ea9bb40] Zero crossings rate: 0.016393
# [Parsed_astats_0 @ 000002212ea9bb40] Number of NaNs: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Number of Infs: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Number of denormals: 0
# [Parsed_astats_0 @ 000002212ea9bb40] Overall
# [Parsed_astats_0 @ 000002212ea9bb40] DC offset: 0.000002
# [Parsed_astats_0 @ 000002212ea9bb40] Min level: -0.101331
# [Parsed_astats_0 @ 000002212ea9bb40] Max level: 0.101215
# [Parsed_astats_0 @ 000002212ea9bb40] Min difference: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Max difference: 0.005738
# [Parsed_astats_0 @ 000002212ea9bb40] Mean difference: 0.003259
# [Parsed_astats_0 @ 000002212ea9bb40] RMS difference: 0.003621
# [Parsed_astats_0 @ 000002212ea9bb40] Peak level dB: -19.885174
# [Parsed_astats_0 @ 000002212ea9bb40] RMS level dB: -23.024130
# [Parsed_astats_0 @ 000002212ea9bb40] RMS peak dB: -22.976440
# [Parsed_astats_0 @ 000002212ea9bb40] RMS trough dB: -23.080960
# [Parsed_astats_0 @ 000002212ea9bb40] Flat factor: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Peak count: 15.500000
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor dB: -19.948194
# [Parsed_astats_0 @ 000002212ea9bb40] Noise floor count: 121664.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Bit depth: 32/32
# [Parsed_astats_0 @ 000002212ea9bb40] Number of samples: 2646000
# [Parsed_astats_0 @ 000002212ea9bb40] Number of NaNs: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Number of Infs: 0.000000
# [Parsed_astats_0 @ 000002212ea9bb40] Number of denormals: 0.000000