def test_process_freq_summary_shift():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf,
rate,
plugin_key_freq,
"input-summary", {},
process_timestamp_method=vamp.vampyhost.SHIFT_DATA))
assert len(results) == 20
for i in range(len(results)):
# as test_process_freq_summary, except that the input is effectively
# padded by the adapter with an additional half-blocksize of zeros
# before conversion
if i == 0:
# this block doesn't interact at all well with our test, we get
# spurious low values in the block converted back within the plugin
# because of the big discontinuity & window ripple after fftshift
pass
else:
expected = (i - 1) * (blocksize /
2) + blocksize / 2 + 1 # for "first" elt
expected = expected + blocksize - 1 # non-zero elts
actual = results[i]["values"][0]
eps = 1e-6
assert abs(actual - expected) < eps
def get_nnls(y, sr, fr, off):
"""
returns nnls chromagram
Parameters
----------
y : number > 0 [scalar]
audio
sr: number > 0 [scalar]
chroma-samplerate-framesize-overlap
fr: number [scalar]
frame size of windos
off: number [scalar]
overlap
Returns
-------
list of chromagrams
"""
plugin = 'nnls-chroma:nnls-chroma'
chroma = list(
vamp.process_audio(y,
sr,
plugin,
output="chroma",
block_size=fr,
step_size=off))
doce_bins_tuned_chroma = []
for c in chroma:
doce_bins_tuned_chroma.append(c['values'].tolist())
return numpy.array(doce_bins_tuned_chroma).transpose()
def test_process_default_output():
# If no output is specified, we should get the first one (instants)
buf = input_data(blocksize)
results = list(vamp.process_audio(buf, rate, plugin_key, "", {}))
assert len(results) == 10
for i in range(len(results)):
expectedTime = vamp.vampyhost.RealTime('seconds', i * 1.5)
actualTime = results[i]["timestamp"]
assert expectedTime == actualTime
def test_process_default_output():
# If no output is specified, we should get the first one (instants)
buf = input_data(blocksize)
results = list(vamp.process_audio(buf, rate, plugin_key, "", {}))
assert len(results) == 10
for i in range(len(results)):
expectedTime = vamp.vampyhost.RealTime('seconds', i * 1.5)
actualTime = results[i]["timestamp"]
assert expectedTime == actualTime
def test_process_stepsize_blocksize_timestamps():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key, "input-timestamp", {}, block_size = blocksize * 2, step_size = int(blocksize / 2)))
assert len(results) == 20
for i in range(len(results)):
# The timestamp should be the frame number of the first frame in the
# input buffer
expected = (i * blocksize) / 2
actual = results[i]["values"][0]
assert actual == expected
def test_process_timestamps():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf, rate, plugin_key, "input-timestamp", {}))
assert len(results) == 10
for i in range(len(results)):
# The timestamp should be the frame number of the first frame in the
# input buffer
expected = i * blocksize
actual = results[i]["values"][0]
assert actual == expected
def test_process_freq_timestamps():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key_freq, "input-timestamp", {}))
assert len(results) == 20
for i in range(len(results)):
# The timestamp should be the frame number of the frame just beyond
# half-way through the input buffer
expected = i * (blocksize/2) + blocksize/2
actual = results[i]["values"][0]
if actual == 2047 and expected == 2048:
print("This test fails because of a bug in the Vamp plugin SDK. Please update to SDK version 2.6.")
assert actual == expected
def test_process_freq_shift_timestamps():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key_freq, "input-timestamp", process_timestamp_method = vamp.vampyhost.SHIFT_DATA))
assert len(results) == 20
for i in range(len(results)):
# The timestamp should be the frame number of the frame at the start of
# the input buffer
expected = i * (blocksize/2)
actual = results[i]["values"][0]
if actual == 2047 and expected == 2048:
print("This test fails because of a bug in the Vamp plugin SDK. Please update to SDK version 2.6.")
assert actual == expected
def test_process_summary():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key, "input-summary", {}))
assert len(results) == 10
for i in range(len(results)):
#
# each feature has a single value, equal to the number of non-zero elts
# in the input block (which is all of them, i.e. the blocksize) plus
# the first elt (which is i * blockSize + 1)
#
expected = blocksize + i * blocksize + 1
actual = results[i]["values"][0]
assert actual == expected
def test_process_summary():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf, rate, plugin_key, "input-summary", {}))
assert len(results) == 10
for i in range(len(results)):
#
# each feature has a single value, equal to the number of non-zero elts
# in the input block (which is all of them, i.e. the blocksize) plus
# the first elt (which is i * blockSize + 1)
#
expected = blocksize + i * blocksize + 1
actual = results[i]["values"][0]
assert actual == expected
def main():
print vh.list_plugins()
#segmentino:segmentino
#qm-vamp-plugins:qm-segmenter
#vh.load_plugin('qm-vamp-plugins:qm-segmenter', 44100, 0)
x = vp.process_audio('Julian.mp3', 44100, 'qm-vamp-plugins:qm-segmenter',
'Julian.txt')
#collect function
#librosa and vamp collect
vp.c
def test_process_freq_timestamps():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf, rate, plugin_key_freq, "input-timestamp", {}))
assert len(results) == 20
for i in range(len(results)):
# The timestamp should be the frame number of the frame just beyond
# half-way through the input buffer
expected = i * (blocksize / 2) + blocksize / 2
actual = results[i]["values"][0]
if actual == 2047 and expected == 2048:
print(
"This test fails because of a bug in the Vamp plugin SDK. Please update to SDK version 2.6."
)
assert actual == expected
def test_process_freq_shift_timestamps():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf,
rate,
plugin_key_freq,
"input-timestamp",
process_timestamp_method=vamp.vampyhost.SHIFT_DATA))
assert len(results) == 20
for i in range(len(results)):
# The timestamp should be the frame number of the frame at the start of
# the input buffer
expected = i * (blocksize / 2)
actual = results[i]["values"][0]
if actual == 2047 and expected == 2048:
print(
"This test fails because of a bug in the Vamp plugin SDK. Please update to SDK version 2.6."
)
assert actual == expected
def test_process_freq_summary_shift():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key_freq, "input-summary", {}, process_timestamp_method = vamp.vampyhost.SHIFT_DATA))
assert len(results) == 20
for i in range(len(results)):
# as test_process_freq_summary, except that the input is effectively
# padded by the adapter with an additional half-blocksize of zeros
# before conversion
if i == 0:
# this block doesn't interact at all well with our test, we get
# spurious low values in the block converted back within the plugin
# because of the big discontinuity & window ripple after fftshift
pass
else:
expected = (i-1) * (blocksize/2) + blocksize/2 + 1 # for "first" elt
expected = expected + blocksize - 1 # non-zero elts
actual = results[i]["values"][0]
eps = 1e-6
assert abs(actual - expected) < eps
def test_process_freq_summary():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf, rate, plugin_key_freq, "input-summary", {}))
assert len(results) == 20
for i in range(len(results)):
#
# sort of as above, but much much subtler:
#
# * the input block is converted to frequency domain but then converted
# back within the plugin, so the values being reported are time-domain
# ones but with windowing and FFT shift
#
# * the effect of FFT shift is that the first element in the
# re-converted frame is actually the one that was at the start of the
# second half of the original frame
#
# * and the last block is only half-full, so the "first" elt in that
# one, which actually comes from just after the middle of the block,
# will be zero
#
# * windowing does not affect the value of the first elt, because
# (before fft shift) it came from the peak of the window shape where
# the window value is 1
#
# * but windowing does affect the number of non-zero elts, because the
# asymmetric window used has one value very close to zero in it
#
# * the step size (the increment in input value from one block to the
# next) is only half the block size
#
expected = i * (blocksize / 2) + blocksize / 2 + 1 # "first" elt
if (i == len(results) - 1):
expected = 0
expected = expected + blocksize - 1 # non-zero elts
actual = results[i]["values"][0]
eps = 1e-6
assert abs(actual - expected) < eps
def test_process_freq_summary():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key_freq, "input-summary", {}))
assert len(results) == 20
for i in range(len(results)):
#
# sort of as above, but much much subtler:
#
# * the input block is converted to frequency domain but then converted
# back within the plugin, so the values being reported are time-domain
# ones but with windowing and FFT shift
#
# * the effect of FFT shift is that the first element in the
# re-converted frame is actually the one that was at the start of the
# second half of the original frame
#
# * and the last block is only half-full, so the "first" elt in that
# one, which actually comes from just after the middle of the block,
# will be zero
#
# * windowing does not affect the value of the first elt, because
# (before fft shift) it came from the peak of the window shape where
# the window value is 1
#
# * but windowing does affect the number of non-zero elts, because the
# asymmetric window used has one value very close to zero in it
#
# * the step size (the increment in input value from one block to the
# next) is only half the block size
#
expected = i * (blocksize/2) + blocksize/2 + 1 # "first" elt
if (i == len(results)-1):
expected = 0
expected = expected + blocksize - 1 # non-zero elts
actual = results[i]["values"][0]
eps = 1e-6
assert abs(actual - expected) < eps
def test_process_summary_param_bool():
buf = input_data(blocksize * 10)
results = list(vamp.process_audio(buf, rate, plugin_key, "input-summary", { "produce_output": False }))
assert len(results) == 0
def test_process_n():
buf = input_data(blocksize)
results = list(vamp.process_audio(buf, rate, plugin_key, "input-summary"))
assert len(results) == 1
def test_process_freq_n():
buf = input_data(blocksize)
results = list(vamp.process_audio(buf, rate, plugin_key_freq, "input-summary", {}))
assert len(results) == 2 # one complete block starting at zero, one half-full
def test_process_n():
buf = input_data(blocksize)
results = list(vamp.process_audio(buf, rate, plugin_key, "input-summary"))
assert len(results) == 1
def test_process_freq_n():
buf = input_data(blocksize)
results = list(
vamp.process_audio(buf, rate, plugin_key_freq, "input-summary", {}))
assert len(
results) == 2 # one complete block starting at zero, one half-full
def test_process_summary_param_bool():
buf = input_data(blocksize * 10)
results = list(
vamp.process_audio(buf, rate, plugin_key, "input-summary",
{"produce_output": False}))
assert len(results) == 0
