图形识别和简单的颜色识别

import  cv2
import numpy as np

#颜色色值
list = [[['红色'],[0,43,46],[10,255,255]],
        [['红色'],[156,43,46],[180,255,255]],
        [['蓝色'],[100,43,46],[124,255,255]],
        [['黄色'],[26,43,46],[34,255,255]],
        [['白色'],[0,0,221],[180,30,255]],
        [['黑色'],[0,0,0],[180,25,46]],
        [['橙色'],[11,43,46],[25,255,255]],
        [['绿色'],[35,43,46],[77,255,255]]]
Mouse_xy = ['','']
#导入图像
img = cv2.imread('www.jpg')
out = img.copy()
img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
v = cv2.Canny(img,100,500)#边缘识别
cv2.imshow('out',out)
#检测

#圆形识别
c = cv2.HoughCircles(v,cv2.HOUGH_GRADIENT,dp=1, minDist=300, circles=255, param1=1300, param2=20, minRadius=50,maxRadius=0)
if c is not None:
    print('=', c)
    #c = np.round(c[0, :]).astype("int")
    c = c[0]
    print(c)

#多边形检测
cnt,lib = cv2.findContours(v,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

def color():
    color1 = out.copy()
    def get_moues( a, x, y, f, p):
        Mouse_xy[0] = x
        Mouse_xy[1] = y
        color2 = color1[y-25:y+25,x-25:x+25]
        cv2.imshow('color',color2)
        color, m, area = '', 0, 0
        for l in list:
            hsv = cv2.cvtColor(color2, cv2.COLOR_BGR2HSV)
            mask = cv2.inRange(hsv, np.array(l[1]), np.array(l[2]))
            cnts = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
            for cnt in range(len(cnts)):
                area = cv2.contourArea(cnts[cnt])
                if area > m:
                    color = l[0][0]
                    m = area
        print('color=', color)
    Mouse = cv2.setMouseCallback('out', get_moues)

def OUT():#绘制
    try:
        for (x,y,r) in c:
            x = int(x)
            y = int(y)
            r = int(r)
            print('x=', x, 'y=', y, 'r=', r)
            cv2.circle(out, (x, y), r, (0, 255, 0), 3)
            cv2.circle(out,(x,y),r-r+1,(255,255,0),3)
            cv2.putText(out,"circle",(x,y),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0))
    except TypeError:
        print('没有圆')

def OUT_S():
    i=1
    R = 0
    G = 0
    print (len(lib[0]))
    while i2:
            cv2.drawContours(out,cnt,i,(R,G,255),2)
            #print('当前图形的顶点有',len(point))
            #print('point=',type(point))
            x,y = point[0][0]
            print('x=',x,'y=',y)
            if len(point) == 3:
                cv2.putText(out,'3',(x,y),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0))
            if len(point) == 4:
                cv2.putText(out,'4',(x,y),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0))
            if len(point) == 5:
                cv2.putText(out, '5', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0))
            if len(point) == 6:
                cv2.putText(out, '6', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0))
        i=i+1
        #cv2.imshow('out',out)



OUT()
OUT_S()
color()
cv2.imshow('v',v)
cv2.imshow('out',out)
cv2.waitKey()