ochilab

using Microsoft.WindowsAzure.Storage;
using Microsoft.WindowsAzure.Storage.Table;
using Microsoft.Azure;

static void Main(string[] args){
  CloudTable table;
  // Web.configに指定した接続情報を取得
  CloudStorageAccount storageAccount = CloudStorageAccount.Parse(
  CloudConfigurationManager.GetSetting("StorageConnectionString"));
  // テーブルクライアントの作成

ochilab

/**
msg:QRコードに埋め込む内容
fileName:ドライブに保存する
**/
function generateQrRodeURL(msg,fileName) {
  var image, response;
  response = UrlFetchApp.fetch("http://chart.apis.google.com/chart?cht=qr&chs=300x300&chl=" +msg); //
  image = response.getBlob().setName(fileName + ".png"); 
  var url =GetSavedImageID(image);
  return url;

ochilab

nat descriptor masquerade static 201 2 192.168.0.21 tcp 21
ip filter 101081 pass * 192.168.0.21 tcpflag=0x0002/0x0017 * 21
ip filter dynamic 202 * 192.168.0.21 ftp

ochilab

#サーバー1用
nat descriptor type 200 nat-masquerade
nat descriptor address outer 200 XXX.XXX.XXX.10 
nat descriptor address inner 200 192.168.0.10 
nat descriptor masquerade static 200 1 192.168.0.10 tcp 80=80  

#サーバー2用
nat descriptor type 201 nat-masquerade
nat descriptor address outer 201 XXX.XXX.XXX.11
nat descriptor address inner 201 192.168.0.11

ochilab

            var img = new Mat(500, 500, MatType.CV_8UC4, new Scalar(0, 0, 0));

            var bitmap = new System.Drawing.Bitmap(200, 100);
            Graphics g = Graphics.FromImage(bitmap);
            //フォントオブジェクトの作成
            Font fnt = new Font("MS UI Gothic", 20);
            g.DrawString("日本語。", fnt, Brushes.Red, 0, 0);

            var img2 = bitmap.ToMat();

ochilab

!apt-get -qq install -y graphviz
!pip install -q pydot
## 上記はGoogle Colabotratory用の設定コマンド

from IPython.display import SVG,display_png,Image
from keras.utils.vis_utils import model_to_dot
from keras.utils import plot_model

#＜略＞

ochilab

save_credentials: True  
save_credentials_backend: file  
save_credentials_file: credentials.json  

ochilab

pil_image = Image.open('C:\\Users\\ochi\\temp\\lenna.jpg')
cv_image = cv2.cvtColor(np.array(pil_image) , cv2.COLOR_RGB2BGR)
cv2.imshow("cv_image",cv_image)
cv2.waitKey(0)

ochilab

from PIL import Image

# Tiff画像を読み込む
image = Image.open('C:\\Users\\ochi\\temp\\sample2.tif')
#ページ数を求める
fLength =image.n_frames
#１ページずつ抜き出して処理
for i in range(0,fLength+1):
    image.seek(1)
    sImg =image.copy()    

ochilab

# -*- coding: utf-8 -*-

import numpy as np
import cv2

# 元の画像を読み込む
img = cv2.imread('C:\\Users\\ochi\\temp\\lena.jpg',cv2.IMREAD_UNCHANGED)
#Matのコピー（クローンみたいなもの）
img2 = img.copy()