def run(args):
if not os.path.exists(args.cache_dir):
os.makedirs(args.cache_dir)
ark_reader = ArchiveReader(args.srp_ark)
for key, mat in ark_reader:
dst = os.path.join(args.cache_dir, key.replace(".", "-"))
save_figure(key,
mat,
dst,
hop=args.frame_hop * 1e-3,
samp_tdoa=args.tdoa)
def run(args):
src_reader = ScriptReader(
args.src_dec) if args.src == "scp" else ArchiveReader(args.src_dec)
num_done = 0
WriterImpl = {"npy": NumpyWriter, "mat": MatWriter}[args.dst]
with WriterImpl(args.dst_dir, args.scp) as writer:
for key, mat in src_reader:
if args.trans:
mat = np.transpose(mat)
writer.write(key, mat)
num_done += 1
logger.info(f"Copy {num_done} into directory {args.dst_dir}")
def run(args):
if not os.path.exists(args.cache_dir):
os.makedirs(args.cache_dir)
ark_reader = ArchiveReader(args.srp_ark)
for key, mat in ark_reader:
dst = os.path.join(args.cache_dir, key.replace('.', '-'))
save_figure(key,
mat,
dst,
shift=args.frame_shift * 1e-3,
samp_tdoa=args.samp_tdoa)
def run(args):
src_format = args.input == "matrix"
src_reader = ScriptReader(
args.src_dec,
matrix=src_format) if args.src == "scp" else ArchiveReader(
args.src_dec, matrix=src_format)
num_done = 0
WriterImpl = {"npy": NumpyWriter, "mat": MatWriter}[args.dst]
with WriterImpl(args.dst_dir, args.scp) as writer:
for key, mat in src_reader:
if args.trans:
mat = np.transpose(mat)
writer.write(key, mat)
num_done += 1
logger.info("Copy {0} {1} into directory {2}".format(
num_done, "matrices" if src_format else "vectors", args.dst_dir))
def run(args):
pca = PCA(n_components=args.dim)
is_dir = os.path.isdir(args.rspec_or_dir)
samples = []
feats_reader = ArchiveReader(args.rspec_or_dir, matrix=(
args.matrix)) if not is_dir else NumpyReader(args.rspec_or_dir)
for _, feats in feats_reader:
if feats.ndim != 1:
feats = np.average(feats, 0)
samples.append(feats)
org_mat = np.stack(samples)
pca_mat = pca.fit_transform(org_mat)
fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
ax.scatter(pca_mat[:, 0], pca_mat[:, 1], pca_mat[:, 2])
plt.show()
def run(args):
if not os.path.exists(args.cache_dir):
os.makedirs(args.cache_dir)
is_dir = os.path.isdir(args.rspec_or_dir)
# ndarrays or archives
mat_reader = ArchiveReader(
args.rspec_or_dir) if not is_dir else NumpyReader(args.rspec_or_dir)
for key, mat in mat_reader:
if args.apply_log:
mat = np.log10(mat)
if args.transpose:
mat = np.transpose(mat)
save_figure(
key,
mat,
os.path.join(args.cache_dir, key.replace('.', '-')),
binary=args.binary,
shift=args.frame_shift * 1e-3,
frequency=16000)
def run(args):
if not os.path.exists(args.cache_dir):
os.makedirs(args.cache_dir)
is_dir = os.path.isdir(args.rspec_or_dir)
# ndarrays or archives
mat_reader = ArchiveReader(
args.rspec_or_dir) if not is_dir else NumpyReader(args.rspec_or_dir)
for key, mat in mat_reader:
if args.apply_log:
mat = np.log10(mat)
if args.trans:
mat = np.transpose(mat)
if args.norm:
mat = mat / np.max(np.abs(mat))
save_figure(key,
mat,
os.path.join(args.cache_dir, key.replace('.', '-')),
cmap=args.cmap,
hop=args.frame_hop * 1e-3,
sr=args.sr,
size=args.size)