def drive(model):
throttle = 0
left_line_max = 75
right_line_max = 670
screen, roi, radar, speed = process("Grand Theft Auto V")
controls = model.predict([np.array([roi]), np.array([radar]), np.array([speed])], batch_size=1)
if controls > 0:
print("-->" + " speed=" + str(speed))
else:
print("<--" + " speed=" + str(speed))
if speed < 19: # control speed
throttle = 0.6
elif speed < 45:
throttle = 0.4
elif speed > 50:
throttle = 0.0
lane = detect_lane(screen)
if lane[0] and lane[0][0] > left_line_max:
if abs(controls[0][0]) < 0.27:
controls[0][0] = 0.27
elif lane[1] and lane[1][0] < right_line_max:
if abs(controls[0][0]) < 0.27:
controls[0][0] = -0.27
return controls[0][0], throttle
def scanForCones(self):
image = self.pilot.robot.get_rgb_image()
depth = self.pilot.robot.get_depth_image()
self.cones = img.process(image, depth, self.kRGB)
print("Found cones: ", self.cones)
import urllib.request
import requests
import threading
import csv
import demo
import img_process
import time
plt.rcParams.update({'figure.max_open_warning': 0}) #fix the memory error
Chrome_driver_location = 'get_image/2/webdriver/chromedriver78'
destination_url_student = 'https://irs.thsrc.com.tw/IMINT/?student=university'
destination_url_default = 'https://irs.thsrc.com.tw/IMINT/'
train_number = 434 #火車班次號碼
dir = '/Users/garys/Desktop/2.jpg'
img_process.process(dir) #process
passcode = demo.predict(dir) #predict
print(passcode)
driver = webdriver.Chrome(Chrome_driver_location)
driver.get(destination_url_default) # 輸入範例網址，交給瀏覽器
cookie = driver.get_cookies() #get cookie
pageSource = driver.page_source # 取得網頁原始碼
#driver.find_element_by_id("bookingMethod2").click()
#driver.find_element_by_name("toTrainIDInputField").send_keys(train_number)
driver.find_element_by_id('btn-confirm').click()
啟程站 = Select(driver.find_element_by_name('selectStartStation'))
啟程站.select_by_value("1")