python微信跳一跳系列之自动计算跳一跳距离


            到现在为止，我们通过前面几篇博文的描述和分析，已经可以自动实现棋子、棋盘位置的准确判断，计算一下两个中心点之间的距离，并绘制在图形上，效果如下。

效果



图中的棋子定位采用HSV颜色识别，棋盘定位采用轮廓分割的方法获得，感兴趣的同学可以对其它的定位方法自行验证。

代码





# -*- coding: utf-8 -*-

#VS2017+python3.6+opencv3.4

#2018.02.03

#作者：艾克思



import cv2 

import numpy as np

import math



def hsv(frame):

 lower_blue = np.array([115,75,75]) #设定蓝色的阈值

 upper_blue = np.array([130,255,125])

 r=0 #初始半径=0

 x,y=0,0

 hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) #转到HSV空间

 mask_blue = cv2.inRange(hsv, lower_blue, upper_blue)

 cnts = cv2.findContours(mask_blue, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2] 

 if len(cnts) > 0: 

 c = max(cnts, key = cv2.contourArea) #找到面积最大的轮廓

 ((x, y), radius) = cv2.minEnclosingCircle(c) #确定面积最大的轮廓的外接圆 

 center=(int(x),int(y))

 return center



def thresh(img):

 x,y,w,h,x1,y1,w1,h1,x2,y2,w2,h2=0,0,0,0,0,0,0,0,0,0,0,0

 gray= cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

 #gray=cv2.GaussianBlur(gray,(13,13),0)#转化为灰度图

 h0,w0=img.shape[:2]

 top=gray[h0//3,1]

 bottom= gray[h0*2//3,1]

 #min_vale=min(top,bottom)

 #max_vale=max(top,bottom)



 thresh1 = cv2.threshold(gray,top,255, cv2.THRESH_BINARY)[1]

 thresh2 = cv2.threshold(gray,175,255, cv2.THRESH_BINARY_INV)[1] 

 img1=thresh1[h0//3:h0*2//3,0:w0]

 img2=thresh2[h0//3:h0*2//3,0:w0]



 cnts1, hierarchy1, rr1 = cv2.findContours(img1,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

 cnts2, hierarchy2, rr2 = cv2.findContours(img2,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)



 aim1=0

 y_min=h0//3

 for c in hierarchy1:

 if hierarchy1==None:

  x1,y1,w1,h1=w0//2,h0//3,w0//3,h0//3

  break

 else:

  x,y,w,h = cv2.boundingRect(c)

  if y<=y_min:

  y_min=y

  aim1=c

  x1,y1,w1,h1 = cv2.boundingRect(aim1)

 #cv2.rectangle(img,(x1,y1+h0//3),(x1+w1,y1+h1+h0//3),(0,0,255),2)



 aim2=0

 y_min=h0//3

 for c in hierarchy2:

 if hierarchy2==None:

  x2,y2,w2,h2=w0//2,h0//3,w0//3,h0//3

  break

 else:

  x,y,w,h = cv2.boundingRect(c)

  if y<=y_min:

  y_min=y

  aim2=c

  x2,y2,w2,h2 = cv2.boundingRect(aim2)

 #cv2.rectangle(img,(x2,y2+h0//3),(x2+w2,y2+h2+h0//3),(0,255,255),2)



 if y1+h1//2<=y2+h2//2:

 x,y,w,h=x1,y1,w1,h1

 else: x,y,w,h=x2,y2,w2,h2



 cv2.imshow('img1',thresh1)

 cv2.imshow('img2',thresh2) 



 return (x+w//2,y+h0//3+h//2)



def length(pt1,pt2):

 x1,y1=pt1

 x2,y2=pt2

 length=math.sqrt((x2-x1)**2+(y2-y1)**2)

 return int(length)



def main():

 filepath='e:/python/jump/hsv/007.png'

 video='e:/python/jump/blackwhite/jumpnew.avi'

 cap = cv2.VideoCapture(video) 

 ret=cap.isOpened()

 ret=True

 while ret:

 #ret,img=cap.read() #读入帧

 img=cv2.imread(filepath)

 if not ret:cv2.waitKey(0)

 point1=hsv(img)

 point2=thresh(img)

 len=length(point1,point2)

 cv2.circle(img,point1,3,(0,0,255),-1)

 cv2.circle(img,point1,15,(0,0,255),2)

 cv2.circle(img,point2,3,(0,0,255),-1)

 cv2.circle(img,point2,15,(0,0,255),2)

 cv2.line(img,point1,point2,(255,255,255),2)

 cv2.putText(img, '{}'.format(len) ,(point2[0]-10,point2[1]-20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2,cv2.LINE_8, 0)

 cv2.imshow('img',img)

 #cv2.imwrite(filepath,img)

 cv2.waitKey(0)

 cap.release()

 cv2.destroyAllWindows()



if __name__=='__main__':

 main()





更多内容大家可以参考专题《微信跳一跳》进行学习。

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中文源码网。