def update(args):
clean(args)
if args.image == 'all' or args.image == 'exabgp':
ExaBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'exabgp_mrtparse':
ExaBGP_MRTParse.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
if args.image == 'all' or args.image == 'gobgp':
GoBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'quagga':
Quagga.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'bird':
BIRD.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'mirage':
if args.checkout == "HEAD":
args.checkout = "bgperf"
MIRAGE.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'mirage_st':
if args.checkout == "HEAD":
args.checkout = "bgperf"
MIRAGE_ST.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
if args.image == 'all' or args.image == 'throughput':
if args.checkout == "HEAD":
args.checkout = "feature-integrate-test"
ThroughputTarget.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
if args.image == 'all' or args.image == 'frr':
FRRouting.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
def prepare(args):
ExaBGP.build_image(args.force, nocache=args.no_cache)
ExaBGP_MRTParse.build_image(args.force, nocache=args.no_cache)
GoBGP.build_image(args.force, nocache=args.no_cache)
Quagga.build_image(args.force,
checkout='quagga-1.0.20160309',
nocache=args.no_cache)
BIRD.build_image(args.force, nocache=args.no_cache)
def prepare(args):
ExaBGP.build_image(args.force, nocache=args.no_cache)
ExaBGP_MRTParse.build_image(args.force, nocache=args.no_cache)
GoBGP.build_image(args.force, nocache=args.no_cache)
BIRD.build_image(args.force, nocache=args.no_cache)
FRRouting.build_image(args.force,
checkout='stable/3.0',
nocache=args.no_cache)
def update(args):
if args.image == 'all' or args.image == 'exabgp':
ExaBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'gobgp':
GoBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'quagga':
Quagga.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'bird':
BIRD.build_image(True, checkout=args.checkout, nocache=args.no_cache)
def update(args):
if args.image == 'all' or args.image == 'exabgp':
ExaBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'gobgp':
GoBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'quagga':
Quagga.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'bird':
BIRD.build_image(True, checkout=args.checkout, nocache=args.no_cache)
def prepare(args):
ExaBGP.build_image(args.force, nocache=args.no_cache)
ExaBGP_MRTParse.build_image(args.force, nocache=args.no_cache)
GoBGP.build_image(args.force, nocache=args.no_cache)
Quagga.build_image(args.force,
checkout='quagga-1.0.20160309',
nocache=args.no_cache)
BIRD.build_image(args.force, nocache=args.no_cache)
MIRAGE.build_image(args.force, checkout='bgperf', nocache=args.no_cache)
MIRAGE_ST.build_image(args.force, checkout='bgperf', nocache=args.no_cache)
FRRouting.build_image(args.force,
checkout='stable/3.0',
nocache=args.no_cache)
def update(args):
if args.image == 'all' or args.image == 'exabgp':
ExaBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'exabgp_mrtparse':
ExaBGP_MRTParse.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
if args.image == 'all' or args.image == 'gobgp':
GoBGP.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'bird':
BIRD.build_image(True, checkout=args.checkout, nocache=args.no_cache)
if args.image == 'all' or args.image == 'frr':
FRRouting.build_image(True,
checkout=args.checkout,
nocache=args.no_cache)
def __getitem__(self, idx):
ys, meta, _, xs = self.mix[idx]
xs = torch.from_numpy(xs)
ys = torch.from_numpy(ys)
X1s = torchaudio.functional.spectrogram(waveform=torch.transpose(
xs[0, :, :], 0, 1),
pad=0,
window=torch.hann_window(400),
n_fft=512,
hop_length=256,
win_length=400,
power=None,
normalized=False)
X2s = torchaudio.functional.spectrogram(waveform=torch.transpose(
xs[1, :, :], 0, 1),
pad=0,
window=torch.hann_window(400),
n_fft=512,
hop_length=256,
win_length=400,
power=None,
normalized=False)
Ys = torchaudio.functional.spectrogram(waveform=torch.transpose(
ys, 0, 1),
pad=0,
window=torch.hann_window(400),
n_fft=512,
hop_length=256,
win_length=400,
power=None,
normalized=False)
M1s = (X1s[0, :, :, 0]**2 +
X1s[0, :, :, 1]**2) / (X1s[0, :, :, 0]**2 + X1s[0, :, :, 1]**2 +
X2s[0, :, :, 0]**2 + X2s[0, :, :, 1]**2)
M2s = (X1s[1, :, :, 0]**2 +
X1s[1, :, :, 1]**2) / (X1s[1, :, :, 0]**2 + X1s[1, :, :, 1]**2 +
X2s[1, :, :, 0]**2 + X2s[1, :, :, 1]**2)
Ms = torch.cat(
(torch.unsqueeze(M1s, dim=0), torch.unsqueeze(M2s, dim=0)), 0)
tau = BIRD.getTDOA(meta)[0]
return Ys, Ms, tau
def __getitem__(self, idx):
ys, meta, _, _ = self.mix[idx]
ys = torch.from_numpy(ys)
Ys = torchaudio.functional.spectrogram(waveform=torch.transpose(
ys, 0, 1),
pad=0,
window=torch.hann_window(400),
n_fft=512,
hop_length=256,
win_length=400,
power=None,
normalized=False)
rt60 = BIRD.getRT60(meta)
return Ys, rt60
from torchaudio.datasets import LIBRISPEECH
from augment import RT60
parser = argparse.ArgumentParser()
parser.add_argument('--root', default='', type=str, help='Root to save the datasets')
parser.add_argument('--folds_train', default=[1,2,3,4,5,6,7], type=int, nargs='+', help='List of BIRD folds for training')
parser.add_argument('--folds_eval', default=[8,9], type=int, nargs='+', help='List of BIRD folds for validation')
parser.add_argument('--folds_test', default=[10], type=int, nargs='+', help='List of BIRD folds for test')
args = parser.parse_args()
# This holds the RIR dataset for training, validation and testing
folder_in_archive_rir = 'Bird'
rir_train = BIRD(root=args.root, folder_in_archive=folder_in_archive_rir, folds=args.folds_train)
rir_eval = BIRD(root=args.root, folder_in_archive=folder_in_archive_rir, folds=args.folds_eval)
rir_test = BIRD(root=args.root, folder_in_archive=folder_in_archive_rir, folds=args.folds_test)
# This holds the speech dataset for training, validation and testing
folder_in_archive_speech = 'LibriSpeech'
speech_train = LIBRISPEECH(root=args.root, folder_in_archive=folder_in_archive_speech, url='train-clean-100', download=True)
speech_eval = LIBRISPEECH(root=args.root, folder_in_archive=folder_in_archive_speech, url='dev-clean', download=True)
speech_test = LIBRISPEECH(root=args.root, folder_in_archive=folder_in_archive_speech, url='test-clean', download=True)
# We can simply create augmented data with this training dataset
augmented_train = RT60(rir=rir_train, speech=speech_train, samples_count=10000)
Ys, rt60 = augmented_train[5]
# Author: Francois Grondin # Date: October 19, 2020 # Affiliation: Universite de Sherbrooke # Contact: [email protected] import argparse import os, sys, inspect current_dir = os.path.dirname( os.path.abspath(inspect.getfile(inspect.currentframe()))) parent_dir = os.path.dirname(current_dir) sys.path.insert(0, parent_dir) from bird import BIRD parser = argparse.ArgumentParser() parser.add_argument('--root', default='', type=str, help='Root to save the datasets') parser.add_argument('--folds', default=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10], type=int, nargs='+', help='List of folds') args = parser.parse_args() rir = BIRD(root=args.root, folder_in_archive='Bird', folds=args.folds)
def prepare(args):
ExaBGP.build_image(args.force, nocache=args.no_cache)
GoBGP.build_image(args.force, nocache=args.no_cache)
Quagga.build_image(args.force, nocache=args.no_cache)
BIRD.build_image(args.force, nocache=args.no_cache)
nargs='+',
help='Alpha range')
parser.add_argument('--c',
default=[335.0, 355.0],
type=float,
nargs='+',
help='Speed of sound range')
parser.add_argument('--d',
default=[0.01, 0.30],
type=float,
nargs='+',
help='Microphone spacing range')
parser.add_argument('--r',
default=[0.0, 22.0, 0.0, 22.0, 0.0, 22.0, 0.0, 22.0],
type=float,
nargs='+',
help='Distance between source and microphones')
args = parser.parse_args()
rir = BIRD(root=args.root,
folder_in_archive='Bird',
folds=args.folds,
room=args.room,
alpha=args.alpha,
c=args.c,
d=args.d,
r=args.r)
print(rir._df)
def prepare(args):
ExaBGP.build_image(args.force, nocache=args.no_cache)
GoBGP.build_image(args.force, nocache=args.no_cache)
Quagga.build_image(args.force, nocache=args.no_cache)
BIRD.build_image(args.force, nocache=args.no_cache)
def enter():
global bird
bird = BIRD()
grass = Grass()
game_world.add_object(grass, 0)
game_world.add_object(bird, 1)