Taehun

#!/usr/bin/python
# -*- coding:utf-8 -*-
# Usage: $echo "This is google translator." | python google_trans.py [-i <Input Language>] [-o <Output Language>] [-s]
import sys
from BeautifulSoup import BeautifulSoup
import urllib2
import urllib
import re
import getopt
import os

Taehun

ODROIDXU-UBOOT-CONFIG
# source by kenken> http://forum.odroid.com/viewtopic.php?f=98&t=6643#p64051
setenv dtb_addr_r 0x42000000
setenv dtb_path /exynos5422-odroidxu3.dtb

setenv kernel_addr_r 0x60000000
setenv kernel_path /zImage

setenv xen_addr_r 0x50000000
setenv xen_path /xen

Taehun

#!/usr/bin/python
#-*- coding: utf-8 -*-
from gtts import gTTS
import os
import json
import sys

owner = '브라이언'

while True:

Taehun

#!/bin/bash
for i in {0..10}
do
burnCortexA9&
done

clear
for i in {1..60}
do
sleep 1

Taehun

#!/usr/bin/env python
# $ sudo apt install youtube-dl ffmpeg
import bs4
import requests
import os

# 아래 URL 수정. 최신가요가 올라오는 유튜브 채널로 URL로 변경
channel_url = 'https://www.youtube.com/channel/UC8inZoPlovl-QsPUbKFv5JQ/videos'
base_url = 'https://www.youtube.com/watch?v='

Taehun

#!/usr/bin/env python
# Usage>
# $ pip install luigi
# $ python luigi_test.py FrameExtractTask --filename small_file.mp4 --local-scheduler

import os
import luigi
import sys
import time
import subprocess

Taehun

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: media-works-
spec:
  entrypoint: media-works-ffmpeg
  volumes:
  - name: workdir
    persistentVolumeClaim:
      claimName: azure-managed-disk

Taehun

import tensorflow as tf
from tensorflow.core.util import event_pb2
from pathlib import Path

train_metrics = [
    "Loss/classification_loss",
    "Loss/localization_loss",
    "Loss/normalized_total_loss",
    "Loss/regularization_loss",
    "Loss/total_loss",

Taehun

from azureml.core import Experiment, Workspace, Run
import pprint
import os


resource_group = os.environ["AUZURE_RESOURCE_GROUP"]
workspace_name = os.environ["AUZRE_WORKSPACE_NAME"]
subscription_id = os.environ["AZURE_SUBSCRIPTION_ID"]

ws = Workspace(

Taehun

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
from tensorflow.python.saved_model import signature_constants
from tensorflow.python.saved_model import tag_constants

export_dir = './saved'
graph_pb = 'frozen_inference_graph.pb'

builder = tf.saved_model.builder.SavedModelBuilder(export_dir)