breakbitz.com attempt 1.py

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from time import sleep
from selenium.webdriver.common.keys import Keys
import os
from selenium.webdriver.chrome.options import Options
import re
import pytesseract
from selenium.webdriver.common.by import By
import random
import cv2
from PIL import Image
from Screenshot import Screenshot_Clipping
ss = Screenshot_Clipping.Screenshot()


import numpy as np
PATH = "\\Bruno\\"
url = "https://www.breakbitz.com/"
pytesseract.pytesseract.tesseract_cmd = r"tesseract"

options = webdriver.ChromeOptions()
options.headless = False
options.add_argument("--start-maximized");
options.add_argument(r"--user-data-dir=/Users/jarettdunn/google") #e.g. C:\Users\You\AppData\Local\Google\Chrome\User Data


driver = webdriver.Chrome('./chromedriver',options=options)
URL = url
driver.get(URL)
driver.maximize_window()
redacc = "redacc"

sleep(5)
elem = driver.switch_to.active_element


elem.send_keys(redacc)
elem.send_keys(Keys.RETURN)
sleep(5)
driver.find_element(By.XPATH,'//*[@id="game-container"]/button').click()
sleep(15)
while True:
    sleep(0.01)


    ranran = random.randint(1,10000)

    acanvas = driver.find_element(By.XPATH,"//canvas")
    acanvas.screenshot('./web_screenshot' + str(ranran) + '.png')
    img = cv2.imread('./web_screenshot' + str(ranran) + '.png')

    print(img.shape) # Print image shape

    path = img[50:80, 50:400]
    cv2.imwrite('./path.png', path)
    path2 = img[550:580, 50:400]
    cv2.imwrite('./path2.png', path2)


    # reading the image in grayscale mode
    gray =  cv2.imread('./path.png', 0) 
    # threshold
    th, threshed = cv2.threshold(gray, 100, 255, 
            cv2.THRESH_BINARY|cv2.THRESH_OTSU)
    
    # findcontours
    cnts = cv2.findContours(threshed, cv2.RETR_LIST, 
                        cv2.CHAIN_APPROX_SIMPLE)[-2]
    
    # filter by area
    s1 = 1800
    s2 = 1980
    xcnts = []
    for cnt in cnts:
        print(cv2.contourArea(cnt))
        if cv2.contourArea(cnt)!=17101.0:
            xcnts.append(cnt)
    
    # printing output
    print("\nDots number1: {}".format(len(xcnts)))
    if len(xcnts) > 0:
        acanvas.click()
    # reading the image in grayscale mode
    gray = cv2.imread('./path2.png', 0)
    # threshold
    th, threshed = cv2.threshold(gray, 100, 255, 
            cv2.THRESH_BINARY|cv2.THRESH_OTSU)
    
    # findcontours
    cnts = cv2.findContours(threshed, cv2.RETR_LIST, 
                        cv2.CHAIN_APPROX_SIMPLE)[-2]
    
    # filter by area
    s1 = 1800
    s2 = 1980
    xcnts = []
    for cnt in cnts:
        print(cv2.contourArea(cnt))
        if cv2.contourArea(cnt)!=2443.0:
            xcnts.append(cnt)
    
    # printing output
    print("\nDots number2: {}".format(len(xcnts)))
    if len(xcnts) > 0:
        acanvas.click()

        #funny funny

breakbitz.com attempt 2.py

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from time import sleep
from selenium.webdriver.common.keys import Keys
import os
from selenium.webdriver.chrome.options import Options
import re
import pytesseract
from selenium.webdriver.common.by import By
import random
import cv2
from PIL import Image
from Screenshot import Screenshot_Clipping
ss = Screenshot_Clipping.Screenshot()


import numpy as np
PATH = "\\Bruno\\"
url = "https://www.breakbitz.com/"
pytesseract.pytesseract.tesseract_cmd = r"tesseract"

options = webdriver.ChromeOptions()
options.headless = False
options.add_argument("--start-maximized");
options.add_argument(r"--user-data-dir=/Users/jarettdunn/google") #e.g. C:\Users\You\AppData\Local\Google\Chrome\User Data


driver = webdriver.Chrome('./chromedriver',options=options)
URL = url
driver.get(URL)
driver.maximize_window()
redacc = "redacc"

sleep(5)
elem = driver.switch_to.active_element


elem.send_keys(redacc)
elem.send_keys(Keys.RETURN)
sleep(5)
driver.find_element(By.XPATH,'//*[@id="game-container"]/button').click()
sleep(15)
while True:
    sleep(0.01)


    ranran = random.randint(1,10000)

    acanvas = driver.find_element(By.XPATH,"//canvas")
    #acanvas.screenshot('./web_screenshot' + str(ranran) + '.png')
    
    ss.full_Screenshot(driver, save_path=r'.' , image_name='./web_screenshot' + str(ranran) + '.png')
    img = cv2.imread('./web_screenshot' + str(ranran) + '.png')

    print(img.shape) # Print image shape

    path = img[300:330, 780:1150]
    cv2.imwrite('./path.png', path)
    path2 = img[780:820, 750:1150]
    cv2.imwrite('./path2.png', path2)


    # reading the image in grayscale mode
    gray =  cv2.imread('./path.png', 0) 
    # threshold
    th, threshed = cv2.threshold(gray, 100, 255, 
            cv2.THRESH_BINARY|cv2.THRESH_OTSU)
    
    # findcontours
    cnts = cv2.findContours(threshed, cv2.RETR_LIST, 
                        cv2.CHAIN_APPROX_SIMPLE)[-2]
    
    # filter by area
    s1 = 1800
    s2 = 1980
    xcnts = []
    for cnt in cnts:
        print(cv2.contourArea(cnt))
        if cv2.contourArea(cnt)!=17101.0:
            xcnts.append(cnt)
    
    # printing output
    print("\nDots number1: {}".format(len(xcnts)))
    if len(xcnts) > 0:
        acanvas.click()
    # reading the image in grayscale mode
    gray = cv2.imread('./path2.png', 0)
    # threshold
    th, threshed = cv2.threshold(gray, 100, 255, 
            cv2.THRESH_BINARY|cv2.THRESH_OTSU)
    
    # findcontours
    cnts = cv2.findContours(threshed, cv2.RETR_LIST, 
                        cv2.CHAIN_APPROX_SIMPLE)[-2]
    
    # filter by area
    s1 = 1800
    s2 = 1980
    xcnts = []
    for cnt in cnts:
        print(cv2.contourArea(cnt))
        if cv2.contourArea(cnt)!=2443.0:
            xcnts.append(cnt)
    
    # printing output
    print("\nDots number2: {}".format(len(xcnts)))
    if len(xcnts) > 0:
        acanvas.click()

        #funny funny

thoughts

I'm bored

the problem: Narfs and team have made the thing click if it detects a selenium screenshot (fair play, anticipating my first move)

full screen ss behaves better doesn't trigger their weird epileptic seizure bullshit

meh

I'm bored good luck everybody:

thoughts

1. do it in an iframe lol see if it still detec (fuck cors)
2. do it in a vm and 

ah yeh that ain't a bad idea, do it in a vm and vnc via web browser then watch that -kek-

not a bad idea

good luck kiddos