opencv实现静态手势识别 opencv实现剪刀石头布游戏

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本文实例为大家分享了opencv实现静态手势识别的具体代码，供大家参考，具体内容如下

要想运行该代码，请确保安装了：python 2.7,opencv 2.4.9

效果如下：

算法如下：

把图片先进行处理，处理过程：

1.用膨胀图像与腐蚀图像相减的方法获得轮廓。

2.用二值化获得图像

3. 反色

经过如上的处理之后，图片为：

这之后就简单了，设计一个办法把三种图像区分开来即可。

代码如下：

# -*- coding: cp936 -*-
import cv2
import numpy
import time
import random
import os
def judge( ):
 #构造一个3×3的结构元素
 # return 0 stone ,1 jiandao, 2 bu
 img = cv2.imread("wif.jpg",0)
 element = cv2.getStructuringElement(cv2.MORPH_RECT,(11,11))
 dilate = cv2.dilate(img, element)
 erode = cv2.erode(img, element)
 #将两幅图像相减获得边，第一个参数是膨胀后的图像，第二个参数是腐蚀后的图像
 result = cv2.absdiff(dilate,erode);
 #上面得到的结果是灰度图，将其二值化以便更清楚的观察结果
 retval, result = cv2.threshold(result, 40, 255, cv2.THRESH_BINARY);
 
 #反色，即对二值图每个像素取反
 result = cv2.bitwise_not(result);
 result =cv2.medianBlur(result,23)
 a=[]
 posi =[]
 width =[]
 count = 0
 area = 0 
 for i in range(result.shape[1]):
 for j in range(result.shape[0]):
  if(result[j][i]==0):
  area+=1
 for i in range(result.shape[1]):
 if(result[5*result.shape[0]/16][i]==0 and result[5*result.shape[0]/16][i-1]!=0 ):
  count+=1
  width.append(0)
  posi.append(i)
 if(result[5*result.shape[0]/16][i]==0):
  width[count-1]+=1
 """
 print 'the pic width is ',result.shape[1],'\n'
 for i in range(count):
 print 'the ',i,'th',' ','is';
 print 'width ',width[i]
 print 'posi ',posi[i],'\n'
 print count,'\n'
 print 'area is ',area,'\n'
 
 cv2.line(result,(0,5*result.shape[0]/16),(214,5*result.shape[0]/16),(0,0,0))
 cv2.namedWindow("fcuk")
 cv2.imshow("fcuk",result)
 cv2.waitKey(0)
 """
 #判定时间
 
 width_length=0
 width_jiandao = True
 for i in range(count):
 if width[i]>45:
  #print 'bu1';
  return 2;
 if width[i]<=20 or width[i]>=40:
  width_jiandao= False
 width_length += width[i]
 if width_jiandao==True and count==2:
 return 1;
 if(area <8500):
 #print 'shi tou';
 return 0;
 print "width_leng",width_length
 if(width_length<35):
 #这个时候说明照片是偏下的，所以需要重新测定。
 a=[]
 posi =[]
 width =[]
 count = 0
 for i in range(result.shape[1]):
  if(result[11*result.shape[0]/16][i]==0 and result[11*result.shape[0]/16][i-1]!=0 ):
  count+=1
  width.append(0)
  posi.append(i)
  if(result[11*result.shape[0]/16][i]==0):
  width[count-1]+=1
 """
 print 'the pic width is ',result.shape[1],'\n'
 for i in range(count):
  print 'the ',i,'th',' ','is';
  print 'width ',width[i]
  print 'posi ',posi[i],'\n'
 print count,'\n'
 print 'area is ',area,'\n'
 """
 width_length=0
 width_jiandao = True
 for i in range(count):
 if width[i]>45:
  #print 'bu1';
  return 2;
 if width[i]<=20 or width[i]>=40:
  width_jiandao= False
 width_length += width[i]
 if width_jiandao==True and count==2:
 return 1;
 if(area>14000 or count>=3):
 #print 'bu2';
 return 2;
 if(width_length<110):
 #print 'jian dao';
 return 1;
 else:
 #print 'bu3';
 return 2;
 
 
"""
print("这是通过摄像头来玩的剪刀石头布的游戏，输入y开始\n")
s = raw_input()
capture = cv2.VideoCapture(0)
cv2.namedWindow("camera",1)
start_time = time.time()
print("给你5秒的时间把手放到方框的位置\n")
while(s=='y' or s=='Y'):
 ha,img =capture.read()
 end_time = time.time()
 cv2.rectangle(img,(426,0),(640,250),(170,170,0))
 cv2.putText(img,str(int((5-(end_time- start_time)))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
 cv2.imshow("camera",img)
 
 if(end_time-start_time>5):
 break
 if(cv2.waitKey(30)>=0):
 break
ha,img = capture.read()
capture.release()
cv2.imshow("camera",img)
img = img[0:210,426:640]
cv2.imwrite("wif.jpg",img)
judge() 
cv2.waitKey(0)
print "fuck"
"""
def game():
 fuck =[]
 fuck.append("石头")
 fuck.append("剪刀")
 fuck.append("布")
 capture = cv2.VideoCapture(0)
 cv2.namedWindow("camera",1)
 start_time = time.time()
 print("给你5秒的时间把手放到方框的位置\n")
 while(1):
 ha,img =capture.read()
 end_time = time.time()
 cv2.rectangle(img,(426,0),(640,250),(170,170,0))
 cv2.putText(img,str(int((5-(end_time- start_time)))), (100,100), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
 cv2.imshow("camera",img)
 if(end_time-start_time>5):
  break
 if(cv2.waitKey(30)>=0):
  break
 ha,img = capture.read()
 capture.release()
 cv2.imshow("camera",img)
 img = img[0:210,426:640]
 cv2.imwrite("wif.jpg",img)
 p1 = judge()
 pc = random.randint(0,2)
 #print p1,' ',pc,'\n'
 print "你出的是",fuck[p1]," 电脑出的是",fuck[pc],"\n"
 cv2.destroyAllWindows()
 if(p1==pc):
 print "平局\n"
 return 0
 if((p1==0 and pc ==1)or(p1==1 and pc ==2)or(p1==2 and pc ==0)):
 print '你赢了\n'
 return 1
 else:
 print '你输了\n'
 return -1
def main():
 you_win=0
 pc_win=0
 print("这是通过摄像头来玩的剪刀石头布的游戏，请输入回车开始游戏\n")
 s = raw_input()
 while(1):
 print "比分(玩家：电脑) ",you_win,":",pc_win,'\n'
 s = raw_input()
 os.system('cls')
 ans =game()
 if(ans == 1):
  you_win+=1
 elif(ans == -1):
  pc_win+=1
 print "为了减少误判，请尽可能将手占据尽可能大的框框"
main()

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。

opencv手势识别,opencv静态手势识别,opencv剪刀石头布

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