要使用Python实现跳一跳游戏的自动化,你可以按照以下步骤进行:
1. 安装必要的库:
pip install opencv-python
pip install numpy
pip install pyautogui
2. 导入所需的模块:
import cv2
import numpy as np
import pyautogui
3. 获取游戏屏幕截图:
def capture_screen():
screenshot = pyautogui.screenshot()
return np.array(screenshot)
4. 使用OpenCV进行图像处理,识别小人和下一个方块的位置:
def find_person_and_block(image):
使用模板匹配找到小人位置
person_template = cv2.imread('person.png', 0)
person_res = cv2.matchTemplate(image, person_template, cv2.TM_CCOEFF_NORMED)
person_pos = np.unravel_index(np.argmax(person_res), person_res.shape)
person_center = (person_pos + person_template.shape // 2, person_pos + person_template.shape // 2)
使用边缘检测找到下一个方块位置
edges = cv2.Canny(image, 50, 150)
contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
x, y, w, h = cv2.boundingRect(contour)
if w > 50 and h > 50:
cv2.circle(image, (x + w // 2, y + h // 2), 20, (0, 255, 0), -1)
找到绿色方块的中心位置
green_blocks = cv2.inRange(image, np.array([0, 200, 0]), np.array([100, 255, 100]))
contours, _ = cv2.findContours(green_blocks, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
x, y, w, h = cv2.boundingRect(contour)
if w > 50 and h > 50:
cv2.circle(image, (x + w // 2, y + h // 2), 20, (0, 0, 255), -1)
return person_center, green_blocks[green_blocks > 0]
5. 根据识别的位置进行点击操作:
def jump(person_center, green_blocks):
找到最近的绿色方块
target_pos = None
min_distance = float('inf')
for contour in green_blocks[green_blocks > 0]:
x, y, w, h = cv2.boundingRect(contour)
distance = np.sqrt((person_center - x - w // 2) 2 + (person_center - y - h // 2) 2)
if distance < min_distance:
min_distance = distance
target_pos = (x + w // 2, y + h // 2)
点击到目标位置
if target_pos:
mouse = pyautogui.mouse.Controller()
mouse.click(target_pos)
6. 将以上函数整合到主程序中,并循环运行直到游戏结束:
while True:
screen = capture_screen()
person_center, green_blocks = find_person_and_block(screen)
jump(person_center, green_blocks)
请注意,上述代码仅为示例,实际使用时可能需要根据游戏界面的变化进行调整。此外,自动化脚本可能会违反游戏的使用条款,使用时请确保有相应的权限和合法性。