iear 发布的帖子

@kidswong999 那用获取颜色信息阈值( l_max,l_min,a_max,a_min,b_max,b_min)然后 再通过这个阈值范围用find_circles去找到附近的气球相对应的颜色吗 还是说需要find_blobs. 之前用获取颜色信息这个就怕识别红绿蓝的阈值的时候 有误差

@kidswong999 我说的随机颜色 是可能红 或绿或蓝 没有固定是红之类的这些

@kidswong999 这样子是红色的色卡就识别是红色吗 那可以通过设置这三个的颜色阈值然后find_blobs识别到的颜色通过color_code去获取颜色代码，然后用if那些去判断color_code是红或绿或蓝 然后在这个if语句里面用find_circles去找到位于色卡前面的颜色气球吗

@kidswong999
代码改了一点 结果是这样的

import sensor, image, time
red_threshold=(0, 100, 7, 127, -128, 127)
green_threshold=(0, 100, -128, -28, -128, 127)
blue_threshold=(14, 87, -83, 127, -113, -14)
red_color_code = 1
blue_color_code = 4
green_color_code = 8

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(10) # 跳过10帧，使新设置生效
sensor.set_auto_whitebal(False)
sensor.set_auto_gain(False)
clock=time.clock()
ROI=(0,0,80,80)

while(True):
    img = sensor.snapshot()
    statistics=img.get_statistics(roi=ROI)
    color_l_min=statistics.l_min()
    color_a_min=statistics.a_min()
    color_b_min=statistics.b_min()
    color_l_max=statistics.l_max()
    color_a_max=statistics.a_max()
    color_b_max=statistics.b_max()
    anycolor_threshold=(color_l_min,color_l_max,color_a_min,color_a_max,color_b_min,color_b_max)
    blobs=img.find_blobs([anycolor_threshold],area_threshold=100)
    if anycolor_threshold==red_threshold:
        blobs =img.find_blobs([red_threshold],area_threshold=100)
    elif anycolor_threshold==green_threshold:
        blobs =img.find_blobs([green_threshold],area_threshold=100)
    elif anycolor_threshold==blue_threshold:
        blobs =img.find_blobs([blue_threshold],area_threshold=100)
    if blobs:
        for blob in blobs:
        #迭代找到的目标颜色区域
            x = blob[0]
            y = blob[1]
            width = blob[2]
            height = blob[3]
            center_x = blob[5]
            center_y = blob[6]
            color_code = blob[8]
            if color_code == red_color_code:
                img.draw_string(x, y - 10, "red", color = (0xFF, 0x00, 0x00))
            elif color_code == blue_color_code:
                img.draw_string(x, y - 10, "blue", color = (0xFF, 0x00, 0x00))
            elif color_code == green_color_code:
                img.draw_string(x, y - 10, "green", color = (0xFF, 0x00, 0x00))

            #用矩形标记出目标颜色区域
            img.draw_rectangle(blob[0],blob[1],blob[2],blob[3])
            #在目标颜色区域的中心画十字形标记
            img.draw_cross(blob[5], blob[6])



    print(clock.fps())

@kidswong999 这个代码测出来的画面有跟踪颜色的，是可以的，是我这个的代码不对吗，用统计信息得到的LAB颜色值是不等同于颜色阈值吗，我把roi调成（0，0，320，240）还是这样 黑色也出现好多＋

请问这是什么原因呢

import sensor, image, time

sensor.reset() # 初始化摄像头
sensor.set_pixformat(sensor.RGB565) # 格式为 RGB565.
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(10) # 跳过10帧，使新设置生效
sensor.set_auto_whitebal(False)               
sensor.set_auto_gain(False)
clock=time.clock()
ROI=(0,0,300,300)

while(True):
    img = sensor.snapshot()         
    statistics=img.get_statistics(roi=ROI)
    color_l=statistics.l_mode()
    color_a=statistics.a_mode()
    color_b=statistics.b_mode()
    print(color_l,color_a,color_b)
    img.draw_rectangle(ROI)
    anycolor_threshold=(color_l,color_a,color_b)
    blobs =img.find_blobs([anycolor_threshold])
    if blobs:
    #如果找到了目标颜色
        for b in blobs:
             img.draw_rectangle(b[0:4]) 
             img.draw_cross(b[5], b[6]) 
            

        print(clock.fps())
  

@kidswong99

import sensor, image, time

sensor.reset()                  
sensor.set_pixformat(sensor.RGB565) 
sensor.set_framesize(sensor.QVGA)   
sensor.skip_frames(time = 10)    
sensor.set_auto_whitebal(False)
sensor.set_auto_gain(False)
clock = time.clock()                、
ROI=(0,0,80,80)
while(True):
    clock.tick()                    
    img = sensor.snapshot()        
    statistics=img.get_statistics(roi=ROI)
    color_l=statistics.l_mode()
    color_a=statistics.a_mode()
    color_b=statistics.b_mode()
    print(color_l,color_a,color_b)
    img.draw_rectangle(ROI)                                 
    pyb.delay(2000）
    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())
       statistics = img.get_statistics(roi=area)#像素颜色统计
        print(statistics)
       
        if 20<statistics.l_mode()<100 and 15<statistics.a_mode()<127 and 15<statistics.b_mode()<12:#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
       if 30<statistics.l_mode()<100 and -64<statistics.a_mode()<-8 and -32<statistics.b_mode()<32:#if the corcle is green
            img.draw_circle(c.x(),c.y(),c.r(),color=(0,255,0))
       if 0<statistics.l_mode()<15 and 0<statistics.a_mode()<40 and -80<statistics.b_mode()<-20:#if the circle is blue
            img.draw_circle(c.x(),c.y(),c.r(),color=(0,0,255))
        else:
            img.draw_rectangle(area, color = (255, 255, 255))
            #将非红色的圆用白色的矩形框出来
    print("FPS %f" % clock.fps())

好的谢谢！我试试看呜呜呜，不懂可以再问问你吗