OpenCV趣味小游戏-双人视觉推球

本文主要是介绍OpenCV趣味小游戏-双人视觉推球，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

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 npcap = 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 landmarkshands, img = detector.findHands(img, flipType=False)  # with draw# Overlaying the background imageimg = cv2.addWeighted(img, 0.2, imgBackground, 0.8, 0)# Check for handsif hands:for hand in hands:x, y, w, h = hand['bbox']h1, w1, _ = imgBat1.shapey1 = y - h1 // 2y1 = 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 = -speedXballPos[0] += 30score[0] += 1if hand['type'] == "Right":img = cvzone.overlayPNG(img, imgBat2, (1195, y1))if 1195 - 50 < ballPos[0] < 1195 and y1 < ballPos[1] < y1 + h1:speedX = -speedXballPos[0] -= 30score[1] += 1# Game Overif ballPos[0] < 40 or ballPos[0] > 1200:gameOver = Trueif gameOver:img = imgGameOvercv2.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 ballelse:# Move the Ballif ballPos[1] >= 500 or ballPos[1] <= 10:speedY = -speedYballPos[0] += speedXballPos[1] += speedY# Draw the ballimg = 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 = 15speedY = 15gameOver = Falsescore = [0, 0]imgGameOver = cv2.imread("Resources/gameOver.png")elif key == 27:  # Check for the ESC keybreakcap.release()
cv2.destroyAllWindows()

五、完整代码如下

import cv2
import cvzone
from cvzone.HandTrackingModule import HandDetector
import numpy as npcap = 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 landmarkshands, img = detector.findHands(img, flipType=False)  # with draw# Overlaying the background imageimg = cv2.addWeighted(img, 0.2, imgBackground, 0.8, 0)# Check for handsif hands:for hand in hands:x, y, w, h = hand['bbox']h1, w1, _ = imgBat1.shapey1 = y - h1 // 2y1 = 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 = -speedXballPos[0] += 30score[0] += 1if hand['type'] == "Right":img = cvzone.overlayPNG(img, imgBat2, (1195, y1))if 1195 - 50 < ballPos[0] < 1195 and y1 < ballPos[1] < y1 + h1:speedX = -speedXballPos[0] -= 30score[1] += 1# Game Overif ballPos[0] < 40 or ballPos[0] > 1200:gameOver = Trueif gameOver:img = imgGameOvercv2.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 ballelse:# Move the Ballif ballPos[1] >= 500 or ballPos[1] <= 10:speedY = -speedYballPos[0] += speedXballPos[1] += speedY# Draw the ballimg = 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 = 15speedY = 15gameOver = Falsescore = [0, 0]imgGameOver = cv2.imread("Resources/gameOver.png")elif key == 27:  # Check for the ESC keybreakcap.release()
cv2.destroyAllWindows()