如何用python玩跳一跳 ？（安卓版）

pip install opencv-python numpy matplotlib adbutils

adb shell screencap /sdcard/screen.png
adb pull /sdcard/screen.png ./screen.png

import cv2
import numpy as np
<h1>读取截图</h1><p>img = cv2.imread('screen.png')</p>
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                <h1>简单方式：通过颜色或模板匹配找小人（如绿色底部）</h1><p>hsv = cv2.cvtColor(img, cv2.COLOR<em>BGR2HSV)
mask = cv2.inRange(hsv, (35, 43, 46), (77, 255, 255))  # 绿色范围
contours, </em> = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if contours:</p><h1>找到小人中心</h1><pre class="brush:php;toolbar:false;"><pre class="brush:php;toolbar:false;">c = max(contours, key=cv2.contourArea)
player_pos = tuple(c[c[:, :, 1].argmin()][0])  # 最高点作为位置

# 示例：简单找目标平台（需根据实际情况调整）
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, thresh = cv2.threshold(gray, 50, 255, cv2.THRESH_BINARY_INV)
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
<p>for c in contours:
x, y, w, h = cv2.boundingRect(c)
if 100 < w < 800 and 100 < h < 800:  # 过滤大小合适的平台
target_pos = (x + w//2, y + h//2)
break

distance = np.sqrt((target_pos[0] - player_pos[0])**2 + (target_pos[1] - player_pos[1])**2)
press_time = distance * 1.35  # 系数需校准（因设备而异）
press_time = int(np.clip(press_time, 200, 1200))  # 限制在合理范围

adb shell input swipe 500 500 500 500 {press_time}