ryul99

#!/bin/bash

# acknowledgement:
# https://chemicloud.com/blog/download-google-drive-files-using-wget/#how-to-download-google-drive-files-using-wget
# https://stackoverflow.com/a/6174447

function parse-url() {
    # extract the protocol
    proto="$(echo $1 | grep :// | sed -e's,^\(.*://\).*,\1,g')"
    # remove the protocol

ryul99

# This code CANNOT be run as a script.
# You should add this code to your shell rc file and use it as a shell function.
# This is because the `jobs` command can only get child processes.
# 
#  example: `for i in $(seq 1 24); do run-parallel sleep 6; done; wait`

function run-parallel() {
    MAX_JOBS=${MAX_JOBS:-6}

    while [ $(jobs -r | wc -l) -ge $MAX_JOBS ]; do

ryul99

#!/usr/bin/env bash

# https://unix.stackexchange.com/a/427133
if [ `uname` == "Linux" ]; then
    tail --pid=$1 -f /dev/null
else
    lsof -p $1 +r 1 &>/dev/null
fi

ryul99

#!/usr/bin/env bash

# Origin code: https://rclone.org/install.sh

# error codes
# 0 - exited without problems
# 1 - parameters not supported were used or some unexpected error occurred
# 2 - OS not supported by this script
# 3 - installed version of rclone is up to date
# 4 - supported unzip tools are not available

ryul99

!#/bin/bash

set -e
TMP_BTOP_DIR="/tmp/$USER/btop/"
mkdir -p $TMP_BTOP_DIR
cd $TMP_BTOP_DIR
curl --remote-name-all -o "$TMP_BTOP_DIR/btop.tbz" --location  $( \
curl -s https://api.github.com/repos/aristocratos/btop/releases/latest \
| grep "browser_download_url.*$(uname -m)-linux.*" \
| cut -d : -f 2,3 \

ryul99

import logging
import os
import hydra
import torch
import datetime
import torch.distributed as dist
import torch.multiprocessing as mp
from omegaconf import OmegaConf

ryul99

import glob
from PIL import ImageFont, ImageDraw, Image
from multiprocessing import Pool
from functools import partial
import random
import tqdm


def imwrite(input_, save_dir):
    i, data = input_

ryul99

# made by @mori_inj

import numpy as np
import matplotlib.pyplot as plt
import cv2
p = 2#np.inf
pert = 100#1000
im = cv2.imread('00000000.png')
#print(type(im))  # 처음부터 numpy
#print(im.shape)  # (H, W, C)

ryul99

import cv2
import glob
import os
import tqdm
from itertools import islice
from multiprocessing import Pool
from pathlib import Path

path = r'D:\Google Drive(SNU)\Study\Dataset\EDVR\Inference\dance_1080_120fs\dance_4k_60fps_downscaled\*.png'
img_size = [(1080, 2048,3)] # Width, Height

ryul99

import cv2
import glob
import os
import tqdm
from itertools import islice
from multiprocessing import Pool
from pathlib import Path

path = r'./**/*.png'
resize_factor = (0.5, 0.5) # Width, Height