@kidswong999 怎么找呀？

请问楼主解决了吗？

@openmv萌新 请问是怎么解决的？

openmv4 cam H7 Plus 能不能进行运动物体检测并跟踪？

请问楼主解决了吗？

我用阈值编辑器时A的最小值比最大值还要大，那 <statistics.a_mode()<左右两边怎么写？

from pyb import Pin

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
clock = time.clock()
flag=0

while(True):
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)
    for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10,
            r_min = 2, r_max = 100, r_step = 2):
        area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r())#area为识别到的圆的区域，即圆的外接矩形框
        statistics = img.get_statistics(roi=area)#像素颜色统计
        print(statistics)
        #(0,100,0,120,0,120)是红色的阈值，所以当区域内的众数（也就是最多的颜色），范围在这个阈值内，就说明是红色的圆。
        #l_mode()，a_mode()，b_mode()是L通道，A通道，B通道的众数。

        if 0<statistics.l_mode()<100 and 0<statistics.a_mode()<127 and 0<statistics.b_mode()<127:  #if the circle is red
           img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))#识别到的红色圆形用红色的圆框出来
           flag=1
        if 0<statistics.l_mode()<100 and -40<statistics.a_mode()<30 and 0<statistics.b_mode()<50:#if the circle is green
            img.draw_circle(c.x(), c.y(), c.r(), color = (0, 255, 0))#识别到的绿色圆形用绿色的圆框出来
            time.sleep(1) # 延时 1 毫秒
            if 0<statistics.l_mode()<100 and 0<statistics.a_mode()<127 and 0<statistics.b_mode()<127:  #if the circle is red
               img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))#识别到的红色圆  形用红色的圆框出来
               flag=2
            else:
                flag=3
        if  0<statistics.l_mode()<100 and -40<statistics.a_mode()<0 and -40<statistics.b_mode()<20:#if the circle is blue
             img.draw_circle(c.x(), c.y(), c.r(), color = (0, 0, 255))#识别到的蓝色圆形用蓝色的圆框出来
             time.sleep(1) # 延时 1 毫秒
             if 0<statistics.l_mode()<100 and 0<statistics.a_mode()<127 and 0<statistics.b_mode()<127:  #if the circle is red
                img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))#识别到的红色圆形用红色的圆框出来
                flag=2
             else:
                flag=3

        while(flag):
                if  flag==1:
                    p_out = Pin('P0', Pin.OUT_PP)#设置p_out为输入引脚
                    p_out.high()#设置p0引脚为高
                elif  flag==2:
                    p_out = Pin('P1', Pin.OUT_PP)#设置p_out为输入引脚
                    p_out.high()#设置p0引脚为高
                elif flag==3:
                    p_out = Pin('P2', Pin.OUT_PP)#设置p_out为输入引脚
                    p_out.high()#设置p0引脚为高
                else:
                    print("default")

print("FPS %f" % clock.fps())

需要返回识别到的圆形目标到openmv所在位置的距离