Extensions and Scripts
Info
More guides and Links - https://rentry.co/Mega-Rentry
This Guide has Extensions and Scripts that Pirates should use
IT IS NOT A COMPLETE LIST
Extensions
AdBlock
Refer to AdBlocker Section at https://rentry.co/MR-Extensions-Script#adblocker
ClearURLs
Remove Trackers from URLs
https://gitlab.com/KevinRoebert/ClearUrls
UniversalBypass
Bypass Link Shortners
https://universal-bypass.org/
ViolentMonkey
Open Source Scripting Extension
https://violentmonkey.github.io/
Scripts
SiteScrubber
Project intended to make QOL scripts to scrub a list of file-hosting sites downloading pages to make life simpler.
SiteScrubber is specifically made for various download sites that have you wait a certain amount of time, or click a button that is buried behind invisible blocks that intercept your click and take you to a different site. These scripts will help remove all the clutter and make the page simple to navigate and complete to download your requested files!
Useful for Mobilism Users
https://github.com/PrimePlaya24/dl-site-scrubber
AdsBypasser
Skip countdown ads or continue pages and prevent ad pop-up windows.
https://adsbypasser.github.io
Mega Unlimited Import
Bypass Import Restriction on Mega account (Need to have free space to Import)
No Proper Page, Script code at End of Rentry
https://rentry.co/MR-Extensions-Script#mega-script
Symbolab View Steps
Just sign into any account and you will be able yo view the Steps to Solution on Symbolab
No Proper Page, Script code at End of Rentry
https://rentry.co/MR-Extensions-Script#mega-script
Aternos Anti-AdBlock
Removes / Bypasses the Waiting page for AdBlock users on Aternos (Minecraft Server Host)
No Proper Page, Script code at End of Rentry
https://rentry.co/MR-Extensions-Script#aternos-script
Auto Solve hCaptchas
Uses TesnorFlow to solve
Edited script posted to remove the referal ads
https://rentry.co/MR-Extensions-Script#hcaptcha-script
Auto Solve Google reCaptchas
Uses TesnorFlow to solve
Edited script posted to remove the referal ads
https://rentry.co/MR-Extensions-Script#recaptcha-script
AdBlocker
The One To Use
It should be no Surprise that here we have linked uBlock Origin
https://github.com/gorhill/uBlock#ublock-origin
It is the Blocker to use. Opinions may vary but its what majority of the Community seems to prefer and recommend
Lists to Add
Though, uBO gives a lot of in-Built lists, here are some more too add
Fuck FuckAdBlock (Must add)
https://raw.githubusercontent.com/bogachenko/fuckfuckadblock/master/fuckfuckadblock.txt
Mirrors -
https://raw.githack.com/bogachenko/fuckfuckadblock/master/fuckfuckadblock.txt
https://cdn.statically.io/gh/bogachenko/fuckfuckadblock/master/fuckfuckadblock.txt
https://cdn.jsdelivr.net/gh/bogachenko/fuckfuckadblock/fuckfuckadblock.txt
WebAnnoyances
Hides the Annoying Banners and other junk on sites
https://raw.githubusercontent.com/yourduskquibbles/webannoyances/master/ultralist.txt&title=Web%20Annoyances%20Ultralist
Filter Stalker Lists
To use, simply select "import" in uBlock's filter tab and paste the following links:
https://openphish.com/feed.txt
https://raw.githubusercontent.com/easylist/easylist/master/fanboy-addon/fanboy_notifications_general_block.txt
https://raw.githubusercontent.com/easylist/easylist/master/fanboy-addon/fanboy_notifications_general_hide.txt
https://raw.githubusercontent.com/easylist/easylist/master/fanboy-addon/fanboy_notifications_thirdparty.txt
https://filters.adtidy.org/extension/ublock/filters/1.txt
https://raw.githubusercontent.com/hant0508/uBlock-filters/master/filters.txt
https://raw.githubusercontent.com/bogachenko/fuckfuckadblock/master/fuckfuckadblock.txt
https://raw.githubusercontent.com/piperun/iploggerfilter/master/filterlist
https://raw.githubusercontent.com/IDKwhattoputhere/uBlock-Filters-Plus/master/uBlock-Filters-Plus.txt
https://raw.githubusercontent.com/yourduskquibbles/webannoyances/master/filters/modal_filters.txt
https://raw.githubusercontent.com/yourduskquibbles/webannoyances/master/filters/newsletter_filters.txt
https://raw.githubusercontent.com/nimasaj/uBOPa/master/uBOPa.txt
https://raw.githubusercontent.com/metaphoricgiraffe/tracking-filters/master/trackingfilters.txt
https://zerodot1.gitlab.io/CoinBlockerLists/list_browser_UBO.txt
Some Custom Filters
Script Codes
Mega-Script
Aternos-Script
Symbolab-Script
recaptcha-script
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 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | // ==UserScript==
// @name Recaptcha Solver (Automatically solves Recaptcha in browser)
// @namespace Recaptcha Solver
// @version 1.0
// @description Recaptcha Solver in Browser | Automatically solves Recaptcha in browser
// @author MegaRentry ReHost
// @match *://*/recaptcha/api2/*
// @connect engageub.pythonanywhere.com
// @grant GM_xmlhttpRequest
/*
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/*
/** Note: This script is solely intended for the use of educational purposes only and not to abuse any website.
This script uses audio in order to solve the captcha. Use it wisely and do not abuse any website.
*/
// ==/UserScript==
(function() {
'use strict';
var solved = false;
var checkBoxClicked = false;
var waitingForAudioResponse = false;
//Node Selectors
const CHECK_BOX = ".recaptcha-checkbox-border";
const AUDIO_BUTTON = "#recaptcha-audio-button";
const PLAY_BUTTON = ".rc-audiochallenge-play-button .rc-button-default";
const AUDIO_SOURCE = "#audio-source";
const IMAGE_SELECT = "#rc-imageselect";
const RESPONSE_FIELD = ".rc-audiochallenge-response-field";
const AUDIO_ERROR_MESSAGE = ".rc-audiochallenge-error-message";
const AUDIO_RESPONSE = "#audio-response";
const RELOAD_BUTTON = "#recaptcha-reload-button";
const RECAPTCHA_STATUS = "#recaptcha-accessible-status";
const DOSCAPTCHA = ".rc-doscaptcha-body";
const VERIFY_BUTTON = "#recaptcha-verify-button";
const MAX_ATTEMPTS = 5;
var requestCount = 0;
var recaptchaLanguage = qSelector("html").getAttribute("lang");
var audioUrl = "";
var recaptchaInitialStatus = qSelector(RECAPTCHA_STATUS) ? qSelector(RECAPTCHA_STATUS).innerText : ""
//Check for visibility && Click the check box
function isHidden(el) {
return(el.offsetParent === null)
}
async function getTextFromAudio(URL) {
requestCount = requestCount + 1;
URL = URL.replace("recaptcha.net", "google.com");
if(recaptchaLanguage.length < 1) {
console.log("Recaptcha Language is not recognized");
recaptchaLanguage = "en-US";
}
console.log("Recaptcha Language is " + recaptchaLanguage);
GM_xmlhttpRequest({
method: "POST",
url: "https://engageub.pythonanywhere.com",
headers: {
"Content-Type": "application/x-www-form-urlencoded"
},
data: "input=" + encodeURIComponent(URL) + "&lang=" + recaptchaLanguage,
timeout: 15000,
onload: function(response) {
console.log("Response::" + response.responseText);
try {
if(response && response.responseText) {
var responseText = response.responseText;
//Validate Response for error messages or html elements
if(responseText == "0" || responseText.includes("<") || responseText.includes(">") || responseText.length < 2 || responseText.length > 50) {
//Invalid Response, Reload the captcha
console.log("Invalid Response. Retrying..");
} else if(qSelector(AUDIO_SOURCE) && qSelector(AUDIO_SOURCE).src && audioUrl == qSelector(AUDIO_SOURCE).src && qSelector(AUDIO_RESPONSE)
&& !qSelector(AUDIO_RESPONSE).value && qSelector(AUDIO_BUTTON).style.display == "none" && qSelector(VERIFY_BUTTON)) {
qSelector(AUDIO_RESPONSE).value = responseText;
qSelector(VERIFY_BUTTON).click();
} else {
console.log("Could not locate text input box")
}
waitingForAudioResponse = false;
}
} catch(err) {
console.log(err.message);
console.log("Exception handling response. Retrying..");
waitingForAudioResponse = false;
}
},
onerror: function(e) {
console.log(e);
waitingForAudioResponse = false;
},
ontimeout: function() {
console.log("Response Timed out. Retrying..");
waitingForAudioResponse = false;
},
});
}
function qSelectorAll(selector) {
return document.querySelectorAll(selector);
}
function qSelector(selector) {
return document.querySelector(selector);
}
//Solve the captcha using audio
var startInterval = setInterval(function() {
try {
if(!checkBoxClicked && qSelector(CHECK_BOX) && !isHidden(qSelector(CHECK_BOX))) {
//console.log("checkbox clicked");
qSelector(CHECK_BOX).click();
checkBoxClicked = true;
}
//Check if the captcha is solved
if(qSelector(RECAPTCHA_STATUS) && (qSelector(RECAPTCHA_STATUS).innerText != recaptchaInitialStatus)) {
solved = true;
console.log("SOLVED");
clearInterval(startInterval);
}
if(requestCount > MAX_ATTEMPTS) {
console.log("Attempted Max Retries. Stopping the solver");
solved = true;
clearInterval(startInterval);
}
if(!solved) {
if(qSelector(AUDIO_BUTTON) && !isHidden(qSelector(AUDIO_BUTTON)) && qSelector(IMAGE_SELECT)) {
// console.log("Audio button clicked");
qSelector(AUDIO_BUTTON).click();
}
if((!waitingForAudioResponse && qSelector(AUDIO_SOURCE) && qSelector(AUDIO_SOURCE).src
&& qSelector(AUDIO_SOURCE).src.length > 0 && audioUrl == qSelector(AUDIO_SOURCE).src
&& qSelector(RELOAD_BUTTON)) ||
(qSelector(AUDIO_ERROR_MESSAGE) && qSelector(AUDIO_ERROR_MESSAGE).innerText.length > 0 && qSelector(RELOAD_BUTTON))){
qSelector(RELOAD_BUTTON).click();
} else if(!waitingForAudioResponse && qSelector(RESPONSE_FIELD) && !isHidden(qSelector(RESPONSE_FIELD))
&& !qSelector(AUDIO_RESPONSE).value && qSelector(AUDIO_SOURCE) && qSelector(AUDIO_SOURCE).src
&& qSelector(AUDIO_SOURCE).src.length > 0 && audioUrl != qSelector(AUDIO_SOURCE).src
&& requestCount <= MAX_ATTEMPTS) {
waitingForAudioResponse = true;
audioUrl = qSelector(AUDIO_SOURCE).src
getTextFromAudio(audioUrl);
}else {
//Waiting
}
}
//Stop solving when Automated queries message is shown
if(qSelector(DOSCAPTCHA) && qSelector(DOSCAPTCHA).innerText.length > 0) {
console.log("Automated Queries Detected");
clearInterval(startInterval);
}
} catch(err) {
console.log(err.message);
console.log("An error occurred while solving. Stopping the solver.");
clearInterval(startInterval);
}
}, 5000);
})();
|
hcaptcha-script
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 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 | // ==UserScript==
// @name Hcaptcha Solver (Automatically solves Hcaptcha in browser)
// @namespace Hcaptcha Solver
// @version 1.0
// @description Hcaptcha Solver in Browser | Automatically solves Hcaptcha in browser
// @author Mega Rentry ReHost
// @match *://*.hcaptcha.com/*hcaptcha-challenge*
// @match *://*.hcaptcha.com/*checkbox*
// @grant GM_xmlhttpRequest
// @connect www.imageidentify.com
// @connect https://cdnjs.cloudflare.com
// @connect https://cdn.jsdelivr.net
// @connect https://unpkg.com
// @connect *://*.hcaptcha.com/*
// @require https://unpkg.com/[email protected]/browser/lib/jimp.min.js
// @require https://cdnjs.cloudflare.com/ajax/libs/tesseract.js/2.0.0-alpha.2/tesseract.min.js
// @require https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js
// @require https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd
/*
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*/
/** Note: This script is solely intended for the use of educational purposes only and not to abuse any website.
*/
// ==/UserScript==
(function() {
//TODO: Enable debug mode to print console logs
'use strict';
var selectedImageCount = 0;
var tensorFlowModel = undefined;
var worker = undefined;
//Node Selectors
const CHECK_BOX = "#checkbox";
const SUBMIT_BUTTON = ".button-submit";
const TASK_IMAGE_BORDER = ".task-image .border";
const IMAGE = ".task-image .image";
const TASK_IMAGE = ".task-image";
const PROMPT_TEXT = ".prompt-text";
const NO_SELECTION = ".no-selection";
const CHALLENGE_INPUT_FIELD = ".challenge-input .input-field";
const CHALLENGE_INPUT = ".challenge-input";
const IMAGE_FOR_OCR = ".challenge-image .zoom-image";
//Attributes
const ARIA_CHECKED = "aria-checked";
const ARIA_HIDDEN = "aria-hidden";
//Values that can be changed for other languages
const AIRPLANE = "airplane";
const BICYCLE = "bicycle";
const BOAT = "boat";
const CAR = "car";
const MOTORBUS = "motorbus";
const MOTORCYCLE = "motorcycle";
const TRAIN = "train";
const TRUCK = "truck";
const TRANSPORT_TYPES = [AIRPLANE, BICYCLE, BOAT, CAR, MOTORBUS, MOTORCYCLE, TRAIN, TRUCK];
const SENTENCE_TEXT_A = "Please click each image containing a ";
const SENTENCE_TEXT_AN = "Please click each image containing an ";
const LANGUAGE_FOR_OCR = "eng";
// Option to override the default image matching
const ENABLE_TENSORFLOW = false;
String.prototype.includesOneOf = function(arrayOfStrings) {
//If this is not an Array, compare it as a String
if (!Array.isArray(arrayOfStrings)) {
return this.toLowerCase().includes(arrayOfStrings.toLowerCase());
}
for (var i = 0; i < arrayOfStrings.length; i++) {
if ((arrayOfStrings[i].substr(0, 1) == "=" && this.toLowerCase() == arrayOfStrings[i].substr(1).toLowerCase()) ||
(this.toLowerCase().includes(arrayOfStrings[i].toLowerCase()))) {
return true;
}
}
return false;
}
// This script uses imageidentify API (wolfram) . You may also use TensorFlow.js, Yolo latest version to recognize common objects.
//(When the cloud service is available for yolo, we can switch the API endpoint). Accuracy varies between Wolfram, Tensorflow and Yolo.
// Use this as a reference to solve recaptcha/other captchas using scripts in browser. This is intended for learning purposes.
// Using TensorFlow as fallback, but this requires good CPU in order to solve quickly.
// CPU utilization and memory utlization may go high when using TensorFlow.js
function matchImages(imageUrl, word, i) {
GM_xmlhttpRequest({
method: "POST",
url: "https://www.imageidentify.com/objects/user-26a7681f-4b48-4f71-8f9f-93030898d70d/prd/urlapi/",
headers: {
"Content-Type": "application/x-www-form-urlencoded"
},
data: "image=" + encodeURIComponent(imageUrl),
timeout: 8000,
onload: function(response) {
clickImages(response, imageUrl, word, i)
},
onerror: function(e) {
//Using Fallback TensorFlow
console.log(e);
console.log("Using Fallback");
matchImagesUsingTensorFlow(imageUrl, word, i);
},
ontimeout: function() {
console.log("Timed out. Using Fallback");
matchImagesUsingTensorFlow(imageUrl, word, i);
},
});
}
function matchImagesUsingTensorFlow(imageUrl, word, i) {
try {
var img = new Image();
img.crossOrigin = "Anonymous";
img.src = imageUrl;
img.onload = () => {
initializeTensorFlowModel().then(model => model.detect(img))
.then(function(predictions) {
var predictionslen = predictions.length;
for (var j = 0; j < predictionslen; j++) {
if (qSelectorAll(IMAGE)[i] && (qSelectorAll(IMAGE)[i].style.background).includes(imageUrl) &&
qSelectorAll(TASK_IMAGE_BORDER)[i].style.opacity == 0 &&
predictions[j].class.includesOneOf(word)) {
qSelectorAll(TASK_IMAGE)[i].click();
break;
}
}
selectedImageCount = selectedImageCount + 1;
});
}
} catch (err) {
console.log(err.message);
}
}
//Different Models can be set later based on usecase
//Ref Models: https://github.com/tensorflow/tfjs-models
async function initializeTensorFlowModel() {
if (!tensorFlowModel) {
tensorFlowModel = await cocoSsd.load();
}
return tensorFlowModel;
}
//Initialize TesseractWorker
function initializeTesseractWorker() {
if(!worker){
worker = new Tesseract.TesseractWorker();
}
}
function clickImages(response, imageUrl, word, i) {
try {
if (response && response.responseText && (qSelectorAll(IMAGE)[i].style.background).includes(imageUrl) && qSelectorAll(TASK_IMAGE_BORDER)[i].style.opacity == 0) {
var responseJson = JSON.parse(response.responseText);
if (responseJson.identify && responseJson.identify.title && responseJson.identify.title.includesOneOf(word)) {
qSelectorAll(TASK_IMAGE)[i].click();
} else if (responseJson.identify && responseJson.identify.entity && responseJson.identify.entity.includesOneOf(word)) {
qSelectorAll(TASK_IMAGE)[i].click();
} else if (responseJson.identify && responseJson.identify.alternatives) {
var alternatives = JSON.stringify(responseJson.identify.alternatives);
var alternativesJson = JSON.parse(alternatives);
for (var key in alternativesJson) {
if (alternativesJson.hasOwnProperty(key)) {
if ((alternativesJson[key].includesOneOf(word) || key.includesOneOf(word))) {
qSelectorAll(TASK_IMAGE)[i].click();
break;
}
}
}
} else {
//No Match found
}
selectedImageCount = selectedImageCount + 1;
} else {
console.log("Using Fallback TensorFlow");
matchImagesUsingTensorFlow(imageUrl, word, i);
}
} catch (err) {
//Using Fallback TensorFlow
console.log(err.message);
console.log("Using Fallback TensorFlow");
matchImagesUsingTensorFlow(imageUrl, word, i);
}
}
function qSelectorAll(selector) {
return document.querySelectorAll(selector);
}
function qSelector(selector) {
return document.querySelector(selector);
}
async function getSynonyms(word) {
//TODO: Format this to JSON string
var tempWord = word;
if (!tempWord.includesOneOf(TRANSPORT_TYPES)) {
console.log("New word or different cyrillic");
var img = await convertTextToImage(word);
tempWord = await convertImageToText(img);
img.removeAttribute("src");
word = tempWord;
}
if (word == MOTORBUS) {
word = ['bus', 'motorbus'];
} else if (word == CAR) {
word = ['=car', 'coupe', 'jeep', 'limo', 'sport utility vehicle', 'station wagon', 'hatchback', 'bumper car', 'modelT', 'electric battery', 'cruiser'];
} else if (word == AIRPLANE) {
word = ['airplane', 'plane', 'aircraft', 'aeroplane', 'hangar', 'Airdock', 'JumboJet', 'jetliner', 'stealth fighter', 'field artillery']
} else if (word == TRAIN) {
word = ['train', 'rail', 'cable car', 'locomotive', 'subway station']
} else if (word == BOAT) {
word = ['=boat', '=barge', 'houseboat', 'bobsled', 'pontoon', 'small boat', 'SnowBlower', 'Sea-coast', 'PaddleSteamer', 'Freighter', 'Sternwheeler', 'kayak', 'canoe', 'deck', 'DockingFacility', 'surfboard', 'ship', '=cruise', 'watercraft', 'sail', 'canvas', '=raft']
} else if (word == BICYCLE) {
word = ['bicycle', 'tricycle', 'mountain bike', 'AcceleratorPedal', 'macaw', 'knot']
} else if (word == MOTORCYCLE) {
word = ['motorcycle', 'windshield', 'dashboard']
} else if (word == TRUCK) {
word = ['truck', 'cargocontainer', 'bazooka']
} else {
console.log("Word does not match. New type identified::" + word);
}
return word
}
function isHidden(el) {
return (el.offsetParent === null)
}
if (window.location.href.includes("checkbox")) {
var checkboxInterval = setInterval(function() {
if (!qSelector(CHECK_BOX)) {
clearInterval(checkboxInterval);
} else if (qSelector(CHECK_BOX).getAttribute(ARIA_CHECKED) == "true") {
clearInterval(checkboxInterval);
} else if (!isHidden(qSelector(CHECK_BOX)) && qSelector(CHECK_BOX).getAttribute(ARIA_CHECKED) == "false") {
qSelector(CHECK_BOX).click();
} else {
return;
}
}, 5000);
} else {
try {
initializeTesseractWorker();
selectImages();
} catch (err) {
console.log(err);
console.log("Tesseract could not be initialized");
}
}
function selectImagesAfterDelay(delay) {
setTimeout(function() {
selectImages();
}, delay * 1000);
}
function triggerEvent(el, type) {
var e = document.createEvent('HTMLEvents');
e.initEvent(type, false, true);
el.dispatchEvent(e);
}
// Small hack to select the nodes
function unsure(targetNodeText) {
var targetNode = Array.from(qSelectorAll('div'))
.find(el => el.textContent === targetNodeText);
//Works for now
//TODO: Select clothing
//TODO: Draw boxes around images
if (targetNode) {
triggerEvent(targetNode, 'mousedown');
triggerEvent(targetNode, 'mouseup');
if (qSelector(SUBMIT_BUTTON)) {
qSelector(SUBMIT_BUTTON).click();
}
}
return selectImagesAfterDelay(1);
}
function getUrlFromString(urlString) {
var urlMatch = urlString.match(/(?<=\(\").+?(?=\"\))/g);
if (!urlMatch) {
return 0;
}
var imageUrl = urlMatch[0];
return imageUrl;
}
function getImageList() {
var imageList = [];
if (qSelectorAll(IMAGE).length > 0) {
for (var i = 0; i < 9; i++) {
var urlString = qSelectorAll(IMAGE)[i].style.background;
var imageUrl = getUrlFromString(urlString);
if (imageUrl == 0) {
//console.log("Image url is empty");
return imageList;
}
imageList[i] = imageUrl;
}
}
return imageList;
}
function waitUntilImageSelection() {
var imageIntervalCount = 0;
var imageInterval = setInterval(function() {
imageIntervalCount = imageIntervalCount + 1;
if (selectedImageCount == 9) {
clearInterval(imageInterval);
if (qSelector(SUBMIT_BUTTON)) {
qSelector(SUBMIT_BUTTON).click();
}
return selectImagesAfterDelay(5);
} else if (imageIntervalCount > 8) {
clearInterval(imageInterval);
return selectImages();
} else {
}
}, 3000);
}
function waitForImagesToAppear() {
var checkImagesSelectedCount = 0;
var waitForImagesInterval = setInterval(function() {
checkImagesSelectedCount = checkImagesSelectedCount + 1;
if (qSelectorAll(IMAGE) && qSelectorAll(IMAGE).length == 9) {
clearInterval(waitForImagesInterval);
return selectImages();
} else if (checkImagesSelectedCount > 30) {
clearInterval(waitForImagesInterval);
} else if (qSelector(CHALLENGE_INPUT_FIELD) && qSelector(NO_SELECTION).getAttribute(ARIA_HIDDEN) != true) {
clearInterval(waitForImagesInterval);
return imageUsingOCR();
} else {
//TODO: Identify Objects for the following (Ex: bed,chair,table etc)
//Ref for clothing: https://www.youtube.com/watch?v=yWwzFnAnrLM, https://www.youtube.com/watch?v=FiNglI1wRNk,https://www.youtube.com/watch?v=oHAkK_9UCQ8
var targetNodeList = ["3 or more items of furniture", "Equipped space or room", "Photo is clean, no watermarks, logos or text overlays", "An interior photo of room", "Unsure", "Photo is sharp"];
for (var j = 0; j < targetNodeList.length; j++) {
var targetNode = Array.from(qSelectorAll('div'))
.find(el => el.textContent === targetNodeList[j]);
if (targetNode) {
//console.log("Target Node Found");
clearInterval(waitForImagesInterval);
return unsure(targetNodeList[j]);
}
}
}
}, 5000);
}
function preProcessImage(imageUrl) {
//Darken and Brighten
Jimp.read(imageUrl).then(function(data) {
data.color([
{
apply: 'darken',
params: [20]
}
]).color([
{
apply: 'brighten',
params: [20]
}
])
.greyscale()
.getBase64(Jimp.AUTO, function(err, src) {
var img = document.createElement("img");
img.setAttribute("src", src);
worker.recognize(img, LANGUAGE_FOR_OCR).then(function(data) {
//Remove Image After recognizing
img.removeAttribute("src");
//If null change to other methods
if (data && data.text && data.text.length > 0) {
inputChallenge(postProcessImage(data), imageUrl);
return selectImages();
} else {
preProcessImageMethod2(imageUrl);
}
});
});
});
}
function preProcessImageMethod2(imageUrl) {
//Multi Contrast darken and brighten
Jimp.read(imageUrl).then(function(data) {
data.color([
{
apply: 'darken',
params: [20]
}
]).contrast(1).color([
{
apply: 'brighten',
params: [20]
}
]).contrast(1).greyscale().getBase64(Jimp.AUTO, function(err, src) {
var img = document.createElement("img");
img.setAttribute("src", src);
worker.recognize(img, LANGUAGE_FOR_OCR).then(function(data) {
//Remove Image After recognizing
img.removeAttribute("src");
if (data && data.text && data.text.length > 0) {
inputChallenge(postProcessImage(data), imageUrl);
return selectImages();
} else {
preProcessImageMethod3(imageUrl);
}
});
});
});
}
function preProcessImageMethod3(imageUrl) {
//Multi Contrast only brighten
Jimp.read(imageUrl).then(function(data) {
data.contrast(1).color([{
apply: 'brighten',
params: [20]
}
])
.contrast(1)
.greyscale()
.getBase64(Jimp.AUTO, function(err, src) {
var img = document.createElement("img");
img.setAttribute("src", src);
worker.recognize(img, LANGUAGE_FOR_OCR).then(function(data) {
//Remove Image After recognizing
img.removeAttribute("src");
if (data && data.text && data.text.length > 0) {
inputChallenge(postProcessImage(data), imageUrl);
return selectImages();
} else {
preProcessImageMethod4(imageUrl);
}
});
});
});
}
function preProcessImageMethod4(imageUrl) {
//Resize the image
Jimp.read(imageUrl).then(function(data) {
data.resize(256, Jimp.AUTO)
.quality(60) // set JPEG quality
.greyscale() // set greyscale
.getBase64(Jimp.AUTO, function(err, src) {
var img = document.createElement("img");
img.setAttribute("src", src);
worker.recognize(img, LANGUAGE_FOR_OCR).then(function(data) {
//Remove Image After recognizing
img.removeAttribute("src");
inputChallenge(postProcessImage(data), imageUrl);
return selectImages();
});
});
});
}
function postProcessImage(data) {
var filterValues = ['\n', '{', '}', '[', ']'];
for (var i = 0; i < filterValues.length; i++) {
data.text = data.text.replaceAll(filterValues[i], "");
}
return data;
}
// Using Tesseract to recognize images
function imageUsingOCR() {
try {
//console.log("Image using OCR");
var urlString = qSelector(IMAGE_FOR_OCR).style.background;
var imageUrl = getUrlFromString(urlString);
if (imageUrl == 0) {
return selectImagesAfterDelay(1);
}
preProcessImage(imageUrl);
} catch (err) {
console.log(err.message);
return selectImagesAfterDelay(1);
}
}
async function convertTextToImage(text) {
//Convert Text to image
var canvas = document.createElement("canvas");
canvas.width = 620;
canvas.height = 80;
var ctx = canvas.getContext('2d');
ctx.font = "30px Arial";
ctx.fillText(text, 10, 50);
var img = document.createElement("img");
img.src = canvas.toDataURL();
return img;
}
async function convertImageToText(img) {
//Convert Image to Text
var text = "";
await worker.recognize(img, LANGUAGE_FOR_OCR).then(function(data) {
text = data.text;
// console.log("Recognized Text::" + text);
});
return text.trim();
}
function inputChallenge(data, imageUrl) {
try {
if ((qSelector(IMAGE_FOR_OCR).style.background).includes(imageUrl)) {
console.log(data.text);
var targetNode = qSelector(CHALLENGE_INPUT_FIELD);
targetNode.value = data.text.replaceAll("\n", "");
var challengeInput = qSelector(CHALLENGE_INPUT);
triggerEvent(challengeInput, 'input');
// Set a timeout if you want to see the text
qSelector(SUBMIT_BUTTON).click();
}
} catch (err) {
console.log(err.message);
}
}
async function selectImages() {
if (qSelectorAll(IMAGE) && qSelectorAll(IMAGE).length == 9 && qSelector(NO_SELECTION).getAttribute(ARIA_HIDDEN) != true) {
selectedImageCount = 0;
try {
await initializeTensorFlowModel();
var word = qSelector(PROMPT_TEXT).innerText;
if (word && (word.includes(SENTENCE_TEXT_A) || word.includes(SENTENCE_TEXT_AN))) {
word = word.replace(SENTENCE_TEXT_A, '');
word = word.replace(SENTENCE_TEXT_AN, '');
} else {
//TODO: Select images from example and identify the word for other languages
}
} catch (err) {
console.log(err.message);
return selectImagesAfterDelay(5);
}
var imageList = [];
try {
imageList = getImageList();
if (imageList.length != 9) {
//console.log("Waiting");
return selectImagesAfterDelay(5);
}
} catch (err) {
console.log(err.message);
return selectImagesAfterDelay(5);
}
//Get Synonyms for the word
word = await getSynonyms(word);
//console.log("words are::" + word);
for (var i = 0; i < 9; i++) {
if (ENABLE_TENSORFLOW) {
matchImagesUsingTensorFlow(imageList[i], word, i);
} else {
matchImages(imageList[i], word, i);
}
}
waitUntilImageSelection();
} else {
waitForImagesToAppear();
}
}
})();
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