Hiroshiba

Hiroshiba

from pathlib import Path

import numpy
from scipy.spatial.distance import cdist


def load_vector(path_format: Path):
    predicted_vectors = []
    true_speaker_nums = []
    for speaker_num in range(100):

Hiroshiba

from pathlib import Path
from typing import Union, Sequence

import librosa
import numpy
from librosa.effects import _signal_to_frame_nonsilent

from matplotlib import pyplot
from tqdm import tqdm

Hiroshiba

import multiprocessing
import threading
import time

import timeout_decorator


def countup():
    for i in range(1, 10):
        time.sleep(1)

Hiroshiba

for i in `seq 0 4`; do python check.py & done
# [1] 83406
# [2] 83407
# [3] 83408
# [4] 83409
# [5] 83410

# start sleep 0
# finish sleep 0
# start sleep 1

Hiroshiba

function hh-audio-movie () {
  ffmpeg -y -i $1 \
  -filter_complex "[0:a]showwaves=mode=p2p:s=hd480:colors=Cyan[v]" \
  -map "[v]" -map 0:a -pix_fmt yuv420p \
  -b:a 360k $2
}

Hiroshiba

# findで見つけたファイルの最新-最古unixタイムを得るコマンド
echo `find [dir] [filter] -printf '%C@\n' | sort | awk 'NR==1; END{print}'` | awk '{print ($2 - $1)}'

Hiroshiba

Hiroshiba

rsync-xargs-pull () {
    d=$2; d=${d%/*}
    rsync --dry-run -av $1:$2 $3 | xargs -n128 -P1 -I@ rsync -avR $1:$d/./@ $3
}

Hiroshiba

"""
python chainer_log_to_csv.py [input path] [output path]
"""

import argparse
import csv
import json

parser = argparse.ArgumentParser()
parser.add_argument('input')