akira02

Get Melonbooks page infos with Google Sheets Named function

These Google Sheets functions can help you get infos from Melonbooks website.

Get cover image of melonbooks:

Argument placeholders: url

soruly

Add-Type -AssemblyName System.Drawing

$timer = New-Object timers.timer
$timer.Interval = 15000
$timer.Enabled = $true
$timer.start()

Register-ObjectEvent -InputObject $timer -EventName Elapsed -SourceIdentifier PrintScreen -Action {
  $folderName = Get-Date -Format "yyyy-MM-dd"
  $fileName = "$(Get-Date -Format "yyyy-MM-dd HH mm ss").jpg"

kagurazakayashi

caphosra

#include <iostream>
#include <fstream>
#include <memory>
#include <vector>

#include "llvm/ADT/APInt.h"
#include "llvm/ADT/APFloat.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/IR/BasicBlock.h"
#include "llvm/IR/Constants.h"

mxk

//+build ignore

// TensorFlow Serving gRPC interface generator.
//
// This script works around a bunch of issues (as of 2019-08-25) between Go's
// protobuf compiler plugin, Go modules, and definitions of TensorFlow and
// TensorFlow Serving proto files. It assumes that protoc and protoc-gen-go are
// on your PATH.
//
//	git clone -b r1.15 https://github.com/tensorflow/tensorflow.git

juampynr

Change Log

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

[Unreleased] - yyyy-mm-dd

Here we write upgrading notes for brands. It's a team effort to make them as

skt7

import cv2
from sklearn.cluster import KMeans

class DominantColors:

    CLUSTERS = None
    IMAGE = None
    COLORS = None
    LABELS = None
    

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

480

MacOS X + oh my zsh + powerline fonts + visual studio code (vscode) terminal settings

Thank you everybody, Your comments makes it better

Install oh my zsh

http://ohmyz.sh/

sh -c "$(curl -fsSL https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"

charlesreid1

#!/bin/bash
# 
# Download the Large-scale CelebFaces Attributes (CelebA) Dataset
# from their Google Drive link.
# 
# CelebA: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
# 
# Google Drive: https://drive.google.com/drive/folders/0B7EVK8r0v71pWEZsZE9oNnFzTm8

python3 get_drive_file.py 0B7EVK8r0v71pZjFTYXZWM3FlRnM celebA.zip