一、项目效果演示
QQ录屏20240122164409
二、游戏玩法介绍
本项目为娱乐项目非原创，主要玩法即通过电脑摄像头检测手部信息，来实现挡板的移动控制，可以一人或者2人参与游戏，调节代码可以控制球飞行速度。
注意：本小游戏所有环境配置都会给出，无需其他复杂操作代码也简单，只要按照步骤来一定可以自己运行在PC端。
三、游戏所需python环境介绍和安装
首先python的版本此处选择为3.7.7（其余版本相差不大的都可）
然后，我们所需要下载的环境如下所示，你可以将其存为txt格式直接在终端输入(具体格式如下)：
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
absl-py==2.1.0 attrs==23.2.0 cvzone==1.6.1 cycler==0.11.0 flatbuffers==23.5.26 fonttools==4.38.0 importlib-metadata==6.7.0 kiwisolver==1.4.5 matplotlib==3.5.3 mediapipe==0.9.0.1 numpy==1.21.6 opencv-contrib-python==4.9.0.80 opencv-python==4.9.0.80 packaging==23.2 Pillow==9.5.0 protobuf==3.20.3 pyparsing==3.1.1 python-dateutil==2.8.2 six==1.16.0 typing_extensions==4.7.1 zipp==3.15.0
四、代码编写和介绍
1、导入所需库和加载图像信息
import cv2
import cvzone
from cvzone.HandTrackingModule import HandDetector
import numpy as np
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
# Importing all images
imgBackground = cv2.imread("Resources/Background.png")
imgGameOver = cv2.imread("Resources/gameOver.png")
imgBall = cv2.imread("Resources/Ball.png", cv2.IMREAD_UNCHANGED)
imgBat1 = cv2.imread("Resources/bat1.png", cv2.IMREAD_UNCHANGED)
imgBat2 = cv2.imread("Resources/bat2.png", cv2.IMREAD_UNCHANGED)2、捕捉手部信息并计算小球运动数据
speedX：调节小球X轴运动速度
speedY：调节小球Y轴运动速度
ballPos：调节小球初始位置
# Hand Detector
detector = HandDetector(detectionCon=0.8, maxHands=2)
# Variables
ballPos = [100, 100]
speedX = 15
speedY = 15
gameOver = False
score = [0, 0]
while True:
_, img = cap.read()
img = cv2.flip(img, 1)
imgRaw = img.copy()
# Find the hand and its landmarks
hands, img = detector.findHands(img, flipType=False) # with draw
# Overlaying the background image
img = cv2.addWeighted(img, 0.2, imgBackground, 0.8, 0)
# Check for hands
if hands:
for hand in hands:
x, y, w, h = hand['bbox']
h1, w1, _ = imgBat1.shape
y1 = y - h1 // 2
y1 = np.clip(y1, 20, 415)
if hand['type'] == "Left":
img = cvzone.overlayPNG(img, imgBat1, (59, y1))
if 59 < ballPos[0] < 59 + w1 and y1 < ballPos[1] < y1 + h1:
speedX = -speedX
ballPos[0] += 30
score[0] += 1
if hand['type'] == "Right":
img = cvzone.overlayPNG(img, imgBat2, (1195, y1))
if 1195 - 50 < ballPos[0] < 1195 and y1 < ballPos[1] < y1 + h1:
speedX = -speedX
ballPos[0] -= 30
score[1] += 1
# Game Over
if ballPos[0] < 40 or ballPos[0] > 1200:
gameOver = True
if gameOver:
img = imgGameOver
cv2.putText(img, str(score[1] + score[0]).zfill(2), (585, 360), cv2.FONT_HERSHEY_COMPLEX,
2.5, (200, 0, 200), 5)
# If the game is not over, move the ball
else:
# Move the Ball
if ballPos[1] >= 500 or ballPos[1] <= 10:
speedY = -speedY
ballPos[0] += speedX
ballPos[1] += speedY
# Draw the ball
img = cvzone.overlayPNG(img, imgBall, ballPos)
cv2.putText(img, str(score[0]), (300, 650), cv2.FONT_HERSHEY_COMPLEX, 3, (255, 255, 255), 5)
cv2.putText(img, str(score[1]), (900, 650), cv2.FONT_HERSHEY_COMPLEX, 3, (255, 255, 255), 5)
img[580:700, 20:233] = cv2.resize(imgRaw, (213, 120))3、控制游戏开始和退出
cv2.imshow("Image", img)
key = cv2.waitKey(1)
if key == ord('r'):
ballPos = [100, 100]
speedX = 15
speedY = 15
gameOver = False
score = [0, 0]
imgGameOver = cv2.imread("Resources/gameOver.png")
elif key == 27: # Check for the ESC key
break
cap.release()
cv2.destroyAllWindows()五、完整代码如下
import cv2
import cvzone
from cvzone.HandTrackingModule import HandDetector
import numpy as np
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
# Importing all images
imgBackground = cv2.imread("Resources/Background.png")
imgGameOver = cv2.imread("Resources/gameOver.png")
imgBall = cv2.imread("Resources/Ball.png", cv2.IMREAD_UNCHANGED)
imgBat1 = cv2.imread("Resources/bat1.png", cv2.IMREAD_UNCHANGED)
imgBat2 = cv2.imread("Resources/bat2.png", cv2.IMREAD_UNCHANGED)
# Hand Detector
detector = HandDetector(detectionCon=0.8, maxHands=2)
# Variables
ballPos = [100, 100]
speedX = 15
speedY = 15
gameOver = False
score = [0, 0]
while True:
_, img = cap.read()
img = cv2.flip(img, 1)
imgRaw = img.copy()
# Find the hand and its landmarks
hands, img = detector.findHands(img, flipType=False) # with draw
# Overlaying the background image
img = cv2.addWeighted(img, 0.2, imgBackground, 0.8, 0)
# Check for hands
if hands:
for hand in hands:
x, y, w, h = hand['bbox']
h1, w1, _ = imgBat1.shape
y1 = y - h1 // 2
y1 = np.clip(y1, 20, 415)
if hand['type'] == "Left":
img = cvzone.overlayPNG(img, imgBat1, (59, y1))
if 59 < ballPos[0] < 59 + w1 and y1 < ballPos[1] < y1 + h1:
speedX = -speedX
ballPos[0] += 30
score[0] += 1
if hand['type'] == "Right":
img = cvzone.overlayPNG(img, imgBat2, (1195, y1))
if 1195 - 50 < ballPos[0] < 1195 and y1 < ballPos[1] < y1 + h1:
speedX = -speedX
ballPos[0] -= 30
score[1] += 1
# Game Over
if ballPos[0] < 40 or ballPos[0] > 1200:
gameOver = True
if gameOver:
img = imgGameOver
cv2.putText(img, str(score[1] + score[0]).zfill(2), (585, 360), cv2.FONT_HERSHEY_COMPLEX,
2.5, (200, 0, 200), 5)
# If the game is not over, move the ball
else:
# Move the Ball
if ballPos[1] >= 500 or ballPos[1] <= 10:
speedY = -speedY
ballPos[0] += speedX
ballPos[1] += speedY
# Draw the ball
img = cvzone.overlayPNG(img, imgBall, ballPos)
cv2.putText(img, str(score[0]), (300, 650), cv2.FONT_HERSHEY_COMPLEX, 3, (255, 255, 255), 5)
cv2.putText(img, str(score[1]), (900, 650), cv2.FONT_HERSHEY_COMPLEX, 3, (255, 255, 255), 5)
img[580:700, 20:233] = cv2.resize(imgRaw, (213, 120))
cv2.imshow("Image", img)
key = cv2.waitKey(1)
if key == ord('r'):
ballPos = [100, 100]
speedX = 15
speedY = 15
gameOver = False
score = [0, 0]
imgGameOver = cv2.imread("Resources/gameOver.png")
elif key == 27: # Check for the ESC key
break
cap.release()
cv2.destroyAllWindows()六、总结
以上就是opencv的一个趣味小游戏，如果能成功运行麻烦点个👍（图片资料评论邮箱即可）。
当然如果你遇到环境问题或者其他问题，可以在评论中留言，我会帮助你完成此趣味小游戏，一起学习进步！