用python玩微信跳一跳系列-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()