ageitgey

List of ImageNet class numbers and names as used in Keras' pre-trained models.

Extracted from https://s3.amazonaws.com/deep-learning-models/image-models/imagenet_class_index.json

0, tench
1, goldfish
2, great_white_shark
3, tiger_shark
4, hammerhead
5, electric_ray

gboudreau

Exporting your 2FA tokens from Authy to transfer them into another 2FA application

IMPORTANT - Update regarding deprecation of Authy desktop apps

Past August 2024, Authy stopped supported the desktop version of their apps:
See Authy is shutting down its desktop app | The 2FA app Authy will only be available on Android and iOS starting in August for details.

And indeed, after a while, Authy changed something in their backend which now prevents the old desktop app from logging in. If you are already logged in, then you are in luck, and you can follow the instructions below to export your tokens.

If you are not logged in anymore, but can find a backup of the necessary files, then restore those files, and re-install Authy 2.2.3 following the instructions below, and it should work as expected.

jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

Harold-D

#!/bin/ash
set -x #debugging

VPN_CHECK_LOG="/var/log/vpncheck.log"
VPN_SERVER="nl.privateinternetaccess.com"
VPN_INTERFACE="tun0"
INTERNET_INTERFACE="eth0"

# Check to see if the VPN server is ping-able
ping_success () {

FutureSharks

#!/usr/bin/python

import picamera
import cv2
import io
import numpy as np
import imutils


camera = picamera.PiCamera()

jovianlin

from tensorflow.python.client import device_lib

def get_available_gpus():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos if x.device_type == 'GPU']

get_available_gpus()

subharanjanm

Get ClamAV running on Mac OS X (using Homebrew)

The easiest way to get the ClamAV package is using Homebrew

$ brew install clamav

Before trying to start the clamd process, you'll need a copy of the ClamAV databases.

Create a freshclam.conf file and configure as so

Paradoxis

import argparse
import requests
import time
import json


def main():
    """
    Entry point of the application
    :return: void

oleq

What is this all about?

This tutorial will turn your Raspberry PI into a simple Bluetooth audio receiver, which plays music through connected speakers. It's like a regular car audio system, but it can be used anywhere and it's a good value.

   Audio source (i.e. smartphone) 
                |
                v
 (((  Wireless Bluetooth Channel  )))
 |

jackcarter

import requests
import time
import json

token = ''

#Delete files older than this:
ts_to = int(time.time()) - 30 * 24 * 60 * 60

def list_files():