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。

本文python微信跳一跳系列之自动计算跳一跳距离到此结束。只有启程，才会到达理想和目的地，只有拼搏，才会获得辉煌的成功，只有播种，才会有收获。只有追求，才会品味堂堂正正的人。谢谢大家支持！