Created
September 11, 2021 10:03
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Cookie ClickerでFortuneクッキー取得後の幸運のニュースを自動でクリックするスクリプト
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import cv2 | |
import numpy as np | |
import pyautogui | |
import time | |
def main(): | |
s_filename = 'tabloid.png' | |
# Env: Raspberry OS chromium browser full screen mode on 1024px x 600px (7inch) display | |
# Trim tabloid area (include menu button) | |
s = pyautogui.screenshot(region=(324, 166, 368, 100)) | |
s.save(s_filename) | |
# HSV range for fortune dark green text | |
# OpenCV uses H: 0-179, S: 0-255, V: 0-255 | |
HSV_MIN = np.array([35, 200, 200]) | |
HSV_MAX = np.array([50, 255, 255]) | |
# read screen shot | |
img = cv2.imread(f'./{s_filename}') | |
# convert to hsv | |
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) | |
# create bin image devided by text color | |
bin_image = cv2.inRange(img_hsv, HSV_MIN, HSV_MAX) | |
# get dark green text positions | |
num_labels, label_image, stats, center = cv2.connectedComponentsWithStats(bin_image) | |
# first point is the background, second point is a dark green text region | |
if( len(stats) > 1 ): | |
x = stats[1][0] | |
y = stats[1][1] | |
print(x, y) | |
# move mouse pointer to text | |
pyautogui.moveTo(324 + x + 10, 166 + y + 10) | |
pyautogui.click() | |
# save bin image for testing | |
cv2.imwrite("bin_image.jpg", bin_image) | |
if __name__ == "__main__": | |
while(True): | |
main() | |
time.sleep(3) |
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