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-pythonpip install numpypip install pyautogui
2. 导入所需的模块:
import cv2import numpy as npimport 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 = Nonemin_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 = distancetarget_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。

