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。

这里写图片描述

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。

# -*- 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
 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,cv2.THRESH_BINARY)[1]
 thresh2 = cv2.threshold(gray,175,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.CHAIN_APPROX_SIMPLE)
 cnts2,hierarchy2,rr2 = cv2.findContours(img2,cv2.CHAIN_APPROX_SIMPLE)

 aim1=0
 y_min=h0//3
 for c in hierarchy1:
 if hierarchy1==None:
  x1,h1=w0//2,h0//3,w0//3,h0//3
  break
 else:
  x,h = cv2.boundingRect(c)
  if y<=y_min:
  y_min=y
  aim1=c
  x1,h1 = cv2.boundingRect(aim1)
 #cv2.rectangle(img,(x1,y1+h0//3),(x1+w1,y1+h1+h0//3),(0,255),2)

 aim2=0
 y_min=h0//3
 for c in hierarchy2:
 if hierarchy2==None:
  x2,h2=w0//2,h = cv2.boundingRect(c)
  if y<=y_min:
  y_min=y
  aim2=c
  x2,h2 = cv2.boundingRect(aim2)
 #cv2.rectangle(img,(x2,y2+h0//3),(x2+w2,y2+h2+h0//3),2)

 if y1+h1//2<=y2+h2//2:
 x,h=x1,h1
 else: x,h=x2,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,-1)
 cv2.circle(img,15,2)
 cv2.circle(img,point2,2)
 cv2.line(img,(255,2)
 cv2.putText(img,'{}'.format(len),(point2[0]-10,point2[1]-20),cv2.FONT_HERShey_SIMPLEX,0.6,2,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编程小技巧。

python微信跳一跳系列之自动计算跳一跳距离

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