易旺 aWangami

一个超级简单的验证码识别。据说准确率比深度学习还要高哦（ε=ε=ε=┏(゜v゜;)┛

依赖：pip install Pillow

来源是 V2EX 上被喷惨的帖子： https://www.v2ex.com/t/354318

（纯粹个人兴趣掐着表写的，没收钱。一个小时内写完。PIL 的文档真难看。）

Using Swift libraries in Python

So... this is obviously totally, 100%, like for. real. not. supported. by. Apple. …yet?

But still... I thought it was pretty badass. And, seeing how there's already a Swift buildpack for Heroku you could move some slow code into Swift can call it as a library function. But, you know, not in production or anything. That would be silly, right?

Now, having said that, the actual Python/Swift interop may have bugs. I'll leave that as an exercise to the reader.

How to get Python code calling Swift functions:

Installing ngrok on OSX

For Homebrew v2.6.x and below:

brew cask install ngrok

For Homebrew v2.7.x and above:

OUTDATED, see comments below

Install Homebrew:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Update Homebrew formulae:

brew update

	/*
	* Copyright (C) 2014 Square, Inc.
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software


	//刷帖子抢楼

	var louceng = 256;
	var postid = 400319;
	var times = 0;
	var timer1;
	var isfast = false;
	var isveryfast = false;

	#!/usr/bin/env python
	# coding: utf-8

	import os
	import sys

	from PIL import Image, ImageChops

	templates = []

	#!/usr/bin/env python3
	# coding: utf-8

	import matplotlib
	import matplotlib.pyplot as plt
	import pandas as pd
	import squarify
	import platform

	# print versions

	下述密码均摘自互联网

	【字母表顺序】-数字
	加密的时候，经常要把A~Z这26个字母转换成数字，最常见的一种方法就是取字母表中的数字序号。A代表1，B代表2，C代表3...

	字母 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
	数字 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26

	#!/bin/bash

	# Anh Nguyen <anh.ng8@gmail.com>
	# 2016-04-30
	# MIT License

	# This script takes in same-size images from a folder and make a crossfade video from the images using ffmpeg.
	# Make sure you have ffmpeg installed before running.

	# The output command looks something like the below, but for as many images as you have in the folder.