Tymek

import { useEffect, useState } from 'react';
import { useRouter } from 'next/router';

/** Ask for confirmation before changing page or leaving site.
 *
 * @see https://git.io/JOskG
 */
const useNavigationLock = (
  isEnabled = true,
  warningText = 'You have unsaved changes – are you sure you wish to leave this page?',

hyrious

// only works when there is no task running
// because we have a server always listening port, this handler will NEVER execute
process.on("beforeExit", (code) => {
  console.log("Process beforeExit event with code: ", code);
});

// only works when the process normally exits
// on windows, ctrl-c will not trigger this handler (it is unnormal)
// unless you listen on 'SIGINT'
process.on("exit", (code) => {

kmhofmann

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

claus

import useScrollRestoration from "utils/hooks/useScrollRestoration";

const App = ({ Component, pageProps, router }) => {
    useScrollRestoration(router);
    return <Component {...pageProps} />;
};

export default App;

chriseidhof

//
//  ContentView.swift
//
//  Created by Chris Eidhof on 20.04.20.
//  Copyright © 2020 objc.io. All rights reserved.
//

import SwiftUI
import UIKit

ericpardee

neofetch --off

ccqpein

# I find this https://discussions.apple.com/thread/8160651
# but it not match my 2018 version MacBook with macos 10.14
#
# On my local, gpuswitch value is 
# 0 -> does not use dedicated graphics
# 1 -> use dedicated graphics
# 2 -> switch automaticly (I guess), because 2 is default value when "automatic graphics switching" selected
#      in energy in preference.

# check settings depended on charger/battery

akexorcist

const axios = require('axios')

/* ... */

const params = new URLSearchParams()
params.append('name', 'Akexorcist')
params.append('age', '28')
params.append('position', 'Android Developer')
params.append('description', 'birthdate=25-12-1989&favourite=coding%20coding%20and%20coding&company=Nextzy%20Technologies&website=http://www.akexorcist.com/')
params.append('awesome', true)

shelldandy

import React from 'react'
import { BrowserRouter as Router, Switch } from 'react-router-dom'
import routes from './routes'
import FancyRoute from './components/tools/FancyRoute'

const App = props =>
  <Router>
    <Switch>
      {routes.map((route, i) =>
        <FancyRoute key={i} {...route} />

douglasrizzo

How to train your own object detection models using the TensorFlow Object Detection API (2020 Update)

This started as a summary of this nice tutorial, but has since then become its own thing.

• Prerequisites
• Annotating images and serializing the dataset
• Choosing a neural network and preparing the training pipeline
• Training the network