Python Jump Jump Game Tutorial
The popular mobile game “Jump Jump” requires players to control a little character to continually jump by tapping the screen, with the distance of each jump determined by how long the screen is tapped.
Below is a simple analysis of Python code implementation for the game “跳一跳” (Jump Jump).
import cv2
import numpy as np
import time
import math
def jump(distance):
# 计算按压时间,按压时间与距离成正比
press_time = distance * 1.35
press_time = max(press_time, 200) # 设置最小按压时间为200ms
# 随机生成按压点
press_point = (np.random.randint(200, 600), np.random.randint(800, 1000))
# 使用ADB命令模拟按压操作
cmd = 'adb shell input swipe {} {} {} {} {}'.format(press_point[0], press_point[1], press_point[0], press_point[1], int(press_time))
os.system(cmd)
def get_center(img):
# 使用边缘检测找到小人的位置
edges = cv2.Canny(img, 100, 200)
contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
area = cv2.contourArea(contour)
if area > 1000:
x, y, w, h = cv2.boundingRect(contour)
center_x = x + w // 2
center_y = y + h // 2
return (center_x, center_y)
return None
# 初始化摄像头
cap = cv2.VideoCapture(0)
while True:
# 读取当前帧
ret, frame = cap.read()
# 对当前帧进行处理,提取出小人的部分
ymin, ymax, xmin, xmax = 300, 700, 100, 600
frame = frame[ymin:ymax, xmin:xmax]
# 转换为灰度图像
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# 获取小人的位置
center = get_center(gray)
if center is not None:
# 计算小人距离底部的距离,根据距离计算按压时间
distance = ymax - center[1]
jump(distance)
# 显示当前帧
cv2.imshow("frame", frame)
# 按q退出循环
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# 关闭摄像头和窗口
cap.release()
cv2.destroyAllWindows()
Firstly import the necessary libraries, including cv2 for image processing, numpy for array operations, time for timing, and math for mathematical calculations.
The jump function is used to simulate a touch operation, taking a distance parameter as input to calculate the duration of the touch, then using ADB commands to simulate the touch operation.
The get_center function is used to locate the position of the person. It first detects the outline of the person using edge detection, then determines if it is a person based on the area of the outline, and finally calculates the coordinates of the person’s center point.
In the main loop, first read the current frame, then process it to extract the portion with the little person. Next, convert the image to grayscale and use the get_center function to determine the position of the little person. If the little person is present, calculate the press time based on the distance from the person to the bottom, and call the jump function to simulate the pressing action. Finally, display the current frame and press the q key to exit the loop.
Close the camera and window at the end of the code.
It is important to note that this code is based on OpenCV and ADB commands, requiring the installation of OpenCV and ADB, as well as connecting an Android phone.