屏蔽广告/优化下载流程
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// ==UserScript==
// @icon http://www.yimuhe.com/favicon.ico
// @name 一木禾/DUFile网盘净化
// @namespace http://tampermonkey.net/
// @version 0.2.1
// @description 屏蔽广告/优化下载流程
// @author Avral
// @match *://www.yimuhe.com/*
// @match *://dufile.com/*
// @require http://code.jquery.com/jquery-3.4.1.min.js
// @require https://unpkg.com/tesseract.js@v2.0.0-alpha.13/dist/tesseract.min.js
// @grant none
// @run-at document-start
// ==/UserScript==
//计算图像的灰度值,公式为：Gray = R*0.299 + G*0.587 + B*0.114
function CalculateGrayValue(rValue,gValue,bValue){
return parseInt(rValue * 0.299 + gValue * 0.587 + bValue * 0.114);
}
//彩色图像灰度化
function ProcessToGrayImage(canvas){
//取得图像数据
var ctx = canvas.getContext("2d");
var canvasData = ctx.getImageData(0, 0, canvas.width, canvas.height);
//这个循环是取得图像的每一个点，在计算灰度后将灰度设置给原图像
for (var x = 0; x < canvasData.width; x++) {
//alert("x="+x);
for (var y = 0; y < canvasData.height; y++) {
//alert("y="+y);
// Index of the pixel in the array
var idx = (x + y * canvas.width) * 4;
// The RGB values
var r = canvasData.data[idx + 0];
var g = canvasData.data[idx + 1];
var b = canvasData.data[idx + 2];
//更新图像数据
var gray = CalculateGrayValue(r , g , b);
canvasData.data[idx + 0] = gray;
canvasData.data[idx + 1] = gray;
canvasData.data[idx + 2] = gray;
}
}
ctx.putImageData(canvasData, 0, 0);
}
//一维OTSU图像处理算法
function OTSUAlgorithm(canvas){
var m_pFstdHistogram = new Array();//表示灰度值的分布点概率
var m_pFGrayAccu = new Array();//其中每一个值等于m_pFstdHistogram中从0到当前下标值的和
var m_pFGrayAve = new Array();//其中每一值等于m_pFstdHistogram中从0到当前指定下标值*对应的下标之和
var m_pAverage=0;//值为m_pFstdHistogram【256】中每一点的分布概率*当前下标之和
var m_pHistogram = new Array();//灰度直方图
var i,j;
var temp=0,fMax=0;//定义一个临时变量和一个最大类间方差的值
var nThresh = 0;//最优阀值
//初始化各项参数
for(i=0; i<256; i++){
m_pFstdHistogram[i] = 0;
m_pFGrayAccu[i] = 0;
m_pFGrayAve[i] = 0;
m_pHistogram[i] = 0;
}
//获取图像信息
var ctx = canvas.getContext('2d');
var canvasData = ctx.getImageData(0, 0, canvas.width, canvas.height);
//获取图像的像素
var pixels = canvasData.data;
//下面统计图像的灰度分布信息
for(i=0; i<pixels.length; i+=4){
//获取r的像素值，因为灰度图像，r=g=b，所以取第一个即可
m_pHistogram[pixels[i]]++;
}
//下面计算每一个灰度点在图像中出现的概率
var size = canvasData.width * canvasData.height;
for(i=0; i<256; i++){
m_pFstdHistogram[i] = m_pHistogram[i] / size;
}
//下面开始计算m_pFGrayAccu和m_pFGrayAve和m_pAverage的值
for(i=0; i<256; i++){
for(j=0; j<=i; j++){
//计算m_pFGaryAccu[256]
m_pFGrayAccu[i] += m_pFstdHistogram[j];
//计算m_pFGrayAve[256]
m_pFGrayAve[i] += j * m_pFstdHistogram[j];
}
//计算平均值
m_pAverage += i * m_pFstdHistogram[i];
}
//下面开始就算OSTU的值，从0-255个值中分别计算ostu并寻找出最大值作为分割阀值
for (i = 0 ; i < 256 ; i++){
temp = (m_pAverage * m_pFGrayAccu[i] - m_pFGrayAve[i])
* (m_pAverage * m_pFGrayAccu[i] - m_pFGrayAve[i])
/ (m_pFGrayAccu[i] * (1 - m_pFGrayAccu[i]));
if (temp > fMax)
{
fMax = temp;
nThresh = i;
}
}
//下面执行二值化过程
for(i=0; i<canvasData.width; i++){
for(j=0; j<canvasData.height; j++){
//取得每一点的位置
var ids = (i + j*canvasData.width)*4;
//取得像素的R分量的值
var r = canvasData.data[ids];
//与阀值进行比较，如果小于阀值，那么将改点置为0，否则置为255
var gray = r>nThresh?255:0;
canvasData.data[ids+0] = gray;
canvasData.data[ids+1] = gray;
canvasData.data[ids+2] = gray;
}
}
//显示二值化图像
ctx.putImageData(canvasData,0,0);
}
//去噪点
function ClearNoise(canvas, N, R){
//取得图像数据
var ctx = canvas.getContext("2d");
var canvasData = ctx.getImageData(0, 0, canvas.width, canvas.height);
//有时多次降噪可能会达到较好的结果
for (var t = 0; t < R; t++) {
//每个点与周围8个点比较，RBG值相等小于3个的过滤
for (var x = 0; x < canvasData.width; x++) {
for (var y = 0; y < canvasData.height; y++) {
// Index of the pixel in the array
var idx = (x + y * canvas.width) * 4;
//if (canvasData.data[idx]==255)continue;
var samenum = 0;
for (var addon_x = -1; addon_x < 2; addon_x++) {
for (var addon_y = -1; addon_y < 2; addon_y++) {
if (addon_x == 0 && addon_y == 0)continue;
var nowpix = [x+addon_x, y+addon_y];
if (nowpix[0] >= 0 &&
nowpix[0] < canvasData.width &&
nowpix[1] >= 0 &&
nowpix[1] < canvasData.height) {
var nowidx = (nowpix[0] + nowpix[1] * canvas.width) * 4;
if (canvasData.data[idx] == canvasData.data[nowidx])samenum++;
}
}
}
if (samenum<N) {
canvasData.data[idx + 0] = 255;
canvasData.data[idx + 1] = 255;
canvasData.data[idx + 2] = 255;
}
}
}
}
ctx.putImageData(canvasData, 0, 0);
}
function TestClearNoise(canvas, N, R){
function GetPixCol(data, idx){
var r = data[idx+0];
var g = data[idx+1];
var b = data[idx+2];
return r<<16 + g<<8 + b;
}
//取得图像数据
var ctx = canvas.getContext("2d");
var canvasData = ctx.getImageData(0, 0, canvas.width, canvas.height);
//有时多次降噪可能会达到较好的结果
for (var t = 0; t < R; t++) {
//遍历每个像素点
for (var x = 0; x < canvasData.width; x++) {
for (var y = 0; y < canvasData.height; y++) {
// Index of the pixel in the array
var idx = (x + y * canvas.width) * 4;
var col = GetPixCol(canvasData.data, idx);
var samenum = 0;
var difcol = new Array();
//取周围8个点坐标
for (var addon_x = -1; addon_x < 2; addon_x++) {
for (var addon_y = -1; addon_y < 2; addon_y++) {
if (addon_x == 0 && addon_y == 0)continue;
var nowpix = [x+addon_x, y+addon_y];
if (nowpix[0] < 0 || nowpix[0] >= canvasData.width || nowpix[1] < 0 || nowpix[1] >= canvasData.height)continue;
var nowidx = (nowpix[0] + nowpix[1] * canvas.width) * 4;
var nowcol = GetPixCol(canvasData.data, nowidx);
//比较点颜色
if (col == nowcol) {
samenum++;
} else {
difcol[nowcol] = (difcol[nowcol] ? difcol[nowcol] : 0) + 1;
}
}
}
var diff = new Array();
diff[1] = -1;
for (var col2num in difcol) {
if (diff[1] < difcol[col2num]) {
diff[0] = col2num;
diff[1] = difcol[col2num];
}
}
if (samenum<1 && diff[1] > 1) {
canvasData.data[idx + 0] = (diff[0]>>16)&0xFF;
canvasData.data[idx + 1] = (diff[0]>>8)&0xFF;
canvasData.data[idx + 2] = (diff[0]>>0)&0xFF;
}
}
}
}
ctx.putImageData(canvasData, 0, 0);
}
function testcanvas(img){
var canvas = document.createElement("canvas");
canvas.width = img.width;
canvas.height = img.height;
var ctx = canvas.getContext("2d");
ctx.drawImage(img, 0, 0, img.width, img.height);
ProcessToGrayImage(canvas);
OTSUAlgorithm(canvas);
ClearNoise(canvas, 3, 3);
/*TestClearNoise(canvas, 1, 1);
ProcessToGrayImage(canvas);
OTSUAlgorithm(canvas);*/
// $('form[name="yzcode"]')[0].appendChild(canvas);
return canvas;
}
(function() {
'use strict';
var window_url = window.location.href;
var website_host = window.location.host;
if(window_url.indexOf("/file")!=-1){
window.location.href = window_url.replace("/file", "/down");
return;
}
window.adsbygoogle = [];
document.onclick = function(){}
document.onkeydown = function(){}
document.write = function(){}
document.writeln = function(){}
window.__qy_pop_up_tg = {}
$(document).ready(function(){
var vcode = $('#vcode_img')[0];
if (!vcode)return;
vcode.onload = function(){
const worker = new Tesseract.TesseractWorker();
var canvas = testcanvas($('#vcode_img')[0]);
worker.recognize(canvas, 'eng', {
/*tessedit_ocr_engine_mode:0,
tessedit_pageseg_mode:1,*/
classify_bln_numeric_mode:1,
tessedit_char_whitelist:"0123456789",
})
.then(result => {
var yzcodestr = result.text.replace(/[^0-9]/ig,"");
$('#code')[0].value = yzcodestr;
});
}
if (website_host == 'dufile.com')
{
}
else if (website_host == 'www.yimuhe.com')
{
var yzmdiv = $('#yzm')[0];
if (yzmdiv != null){
yzmdiv.style.display = '';
}
var loaddiv = $('#loading')[0];
if (loaddiv != null){
loaddiv.style.display = 'none';
}
}
});
document.putcode = function(id) {
function mydown_file (id) {
var u = document.createElement("iframe");
if (website_host == 'dufile.com'){
u.src = '/dd.php?file_key=' + id + '&p=1';
}else if (website_host == 'www.yimuhe.com'){
u.src = "/n_dd.php?file_id=" + id + "&p=1&types=http&ser=99";// + "&userlogin=" + uploaduser + "&file_name=" + name; + ser + "&file_key=" + key
}
u.style.display = "none";
var onl = function(){
//console.log(u.contentWindow.document.getElementById("downs"));
window.location.href = u.contentWindow.document.getElementById("downs").href;
}
if (u.attachEvent){
u.attachEvent("onload", onl);
} else {
u.onload = onl;
}
document.body.appendChild(u);
}
var code = $('#code')[0].value;
if (code == '') {
alert("请填写验证码。");
return false
}
var url = "";
if (website_host == 'dufile.com'){
url = '/downcode.php';
}else if (website_host == 'www.yimuhe.com'){
url = '/n_downcode.php';
}
$.ajax({
url: url,
type: "post",
data: {
action: "yz",
id: id,
code: code
},
dataType: "text",
error: function() {
alert('提交失败。');
return false;
},
success: function(result) {
if (result == 1) {
mydown_file(id, '1', 'http');
} else {
if (result == 0) {
alert("验证码不正确")
} else {
alert("下载地址已超时，请重新下载。");
if (website_host == 'dufile.com'){
window.location.href = ('/file/' + result + '.html')
}else if (website_host == 'www.yimuhe.com'){
window.location.href = ('/file-' + result + '.html');
}
}
}
}
})
}
})();