4oqs 发布的帖子

@egxs 感谢您！
但是识别起来还是有点飘 会框到其他的地方

@kidswong999 想请教您 我现在该怎么去修改 或者是重新去写？

@egxs emmm……那想问问您 方形的识别该怎么写？能教一下我吗回复

那我现在应该怎么修改呢？

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()

K=5000#the value should be measured
yellow_threshold   = (94, 100, -128, 127, -128, 127)

while(True):
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)
    sensor.set_hmirror(True) #水平方向翻转

    sensor.set_vflip(True) #垂直方向翻转

    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)
        #(94, 100, -128, 127, -128, 127)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 94<statistics.l_mode()<100 and -128<statistics.a_mode()<127 and -128<statistics.b_mode()<127:#if the circle is red
            img.draw_rectangle(area, color = (255, 255, 255))
            #将非红色的圆用白色的矩形框出来
            
    def find_max(blobs):   #识别最大色块
       max_size=0
       for blob in blobs:
          if blob[2]*blob[3] > max_size:
            max_blob=blob
            max_size = blob[2]*blob[3]
       return max_blob
       
    blobs = img.find_blobs([yellow_threshold])
    if len(blobs) == 1:
        # Draw a rect around the blob.
        b = blobs[0]
        img.draw_rectangle(b[0:4]) # rect
        img.draw_cross(b[5], b[6]) # cx, cy
        Lm = (b[2]+b[3])/2
        length = K/Lm
        print(Lm)

这是我重新修改的 还是实现不了 麻烦您指教

就是我想要同时识别到颜色和形状 然后串口终端返回与物块的距离
现在是识别不到物块 Lm的值也没有返回

一下是我根据例程结合的 但是实现不了功能

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
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()

K=5000#the value should be measured
yellow_threshold   = ( 56,   83,    5,   57,   63,   80)

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)
        #(94, 100, -128, 127, -128, 127)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 94<statistics.l_mode()<100 and -128<statistics.a_mode()<127 and -128<statistics.b_mode()<127:#if the circle is red
            img.draw_rectangle(area, color = (255, 255, 255))      
            #将非红色的圆用白色的矩形框出来

    blobs = img.find_blobs([yellow_threshold])
    if len(blobs) == 1:
        # Draw a rect around the blob.
        b = blobs[0]
        img.draw_rectangle(b[0:4]) # rect
        img.draw_cross(b[5], b[6]) # cx, cy
        Lm = (b[2]+b[3])/2
        length = K/Lm
        print(Lm)