Ideas:
1. Obtener la presentación del fondo (diapositiva posición de la estación módulo B no es fijo, y no se encontró el origen de cualquier otra imagen, por lo que el ciclo de escritura de adquisición de imagen parada, a continuación, PS EMPALMÓ obtiene correctamente . fondo la figura
2. Analizar el fondo original y procesar el módulo de fondo brecha pixel de diapositivas para identificar la distancia de movimiento del eje X
3. la fórmula utilizando el módulo de desplazamiento de diapositivas obtiene de ruta normal
4. pitón + selenio analógica dotación de personal finalización arrastrar el ratón
5. ruptura completa
from selenium import webdriver
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
import os
from PIL import Image
from selenium.webdriver import ActionChains
import random
def get_snap(driver):
driver.save_screenshot('snap.png')
snap_obj = Image.open('snap.png')
return snap_obj
def get_image(driver):
image = driver.find_element_by_class_name('geetest_canvas_slice')
time.sleep(1)
size = image.size
location = image.location
left = location['x']
top = location['y']
right = left + size['width']
bottom = top + size['height']
snap_obj = get_snap(driver)
img_obj = snap_obj.crop((left, top, right, bottom))
img_obj.save('image1.png')
for i in range(1, 11):
image2 = Image.open('bilibili_image/image{}.png'.format(str(i)))
rgb = (image2.load()[58, 20])
rgb2 = (img_obj.load()[58, 20])
if rgb[0]==rgb2[0] and rgb[1]==rgb2[1] and rgb[2]==rgb2[2]:
img_obj.save('image1.png')
return img_obj, image2
def find_jl(image_obj1, image_obj2):
start_x = 58
# 从坐标系(60,25开始往下扫描)
start_y = 20
for x in range(start_x, image_obj1.size[0]):
for y in range(start_y, image_obj1.size[1] - 16):
rgb = image_obj1.load()[x, y]
rgb2 = image_obj2.load()[x, y]
if abs(rgb[0] - rgb2[0]) > 60 and abs(rgb[1] - rgb2[1]) > 60 and abs(rgb[2] - rgb2[2]) > 60:
# print(rgb)
return x - 6
def get_tracks(distance):
distance += 10
# v = V0+a*t
# S = v*t+0.5*a*(t**2)
v0 = 0
s = 0
t = 0.2
mid = distance * 3 / 5
forward_tracks = []
back_tracks = [0, -1, -1, -1, -2, -2, -2, -1, -1, 0, 0, 1]
while s < distance:
if s < mid:
a = 2
else:
a = -3
v = v0
track = v * t + 0.5 * a * (t ** 2)
track = round(track)
v0 = v + a * t
s += track
forward_tracks.append(track)
return forward_tracks, back_tracks
def RUN(driver, track):
slider_button = driver.find_element_by_class_name('geetest_slider_button')
ActionChains(driver).click_and_hold(slider_button).perform()
time.sleep(0.3)
for i in track[0]:
ActionChains(driver).move_by_offset(xoffset=i, yoffset=0).perform()
time.sleep(0.2)
for j in track[1]:
ActionChains(driver).move_by_offset(xoffset=j, yoffset=0).perform()
time.sleep(0.3)
ActionChains(driver).release().perform()
def main(user_id, password):
os.system("taskkill /f /im chromedriver.exe")
url = 'https://passport.bilibili.com/login'
driver = webdriver.Chrome()
# 1.登录页面
# driver = webdriver.Chrome()
timeout = WebDriverWait(driver, 3)
driver.get(url)
# 2.输入公司名称,点击查询
timeout.until(EC.element_to_be_clickable((By.ID, 'login-username')))
user_button = driver.find_element_by_id('login-username')
user_button.send_keys(user_id)
time.sleep(random.uniform(0, 1))
password_button = driver.find_element_by_id('login-passwd')
password_button.send_keys(password)
login_button = driver.find_element_by_class_name('btn-login')
login_button.click()
time.sleep(1)
# 3.得到滑动图片
# for i in range(100):
# if i >= 1:
# driver.find_element_by_class_name('geetest_panel_error_content').click()
# time.sleep(1)
# for j in range(5):
# get_image(driver, str(i)+str(j))
# time.sleep(0.5)
# driver.find_element_by_class_name('geetest_refresh_1').click()
# time.sleep(1)
image_obj = get_image(driver)
# 4.计算滑动距离
distance = find_jl(image_obj[0], image_obj[1])
# 5.通过动力加速度算法,算出人手滑动轨迹
track = get_tracks(distance)
# 6.执行
RUN(driver, track)
# 7.关闭浏览器
time.sleep(5)
driver.close()
if __name__ == '__main__':
user_id = 'a123456'
password = 'b123456'
main(user_id, password)