4. 根据颜色形状同时识别的代码，改为颜色加矩形，但是就是识别不出来红色的矩形，请各位帮忙看看。
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    • 根据颜色形状同时识别的代码，改为颜色加矩形，但是就是识别不出来红色的矩形，请各位帮忙看看。

    • 4
       

      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()

while(True):
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)
    for c in img.find_rects(threshold = 10000):
        area = c.rect()
        #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 30<statistics.l_mode()<100 and 15<statistics.a_mode()<127 and 15<statistics.b_mode()<127:#if the circle is red
            img.draw_rectangle(area,color = (255, 0, 0))#识别到的红色圆形用红色的圆框出来
        #elif 30<statistics.l_mode()<100 and -64<statistics.a_mode()<8 and -32<statistics.b_mode()<32:#if the circle is red
        #    img.draw_circle(c.x(), c.y(), c.r(), color = (0, 255, 0))#识别到的红色圆形用红色的圆框出来
        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())
      0

    • 可能是你的阈值不对。

      print(statistics) 你可以直接看到你说的红色的矩形的数据。发出来看一下。

      0
      4
       2 条回复
    • 4

      @kidswong999

      {"l_mean":51, "l_median":54, "l_mode":65, "l_stdev":13, "l_min":9, "l_max":67, "l_lq":42, "l_uq":65, "a_mean":2, "a_median":1, "a_mode":0, "a_stdev":5, "a_min":-8, "a_max":27, "a_lq":0, "a_uq":5, "b_mean":15, "b_median":21, "b_mode":22, "b_stdev":14, "b_min":-33, "b_max":35, "b_lq":15, "b_uq":23}
FPS 30.412698
{"l_mean":53, "l_median":59, "l_mode":65, "l_stdev":14, "l_min":9, "l_max":68, "l_lq":43, "l_uq":65, "a_mean":2, "a_median":1, "a_mode":0, "a_stdev":5, "a_min":-7, "a_max":27, "a_lq":0, "a_uq":4, "b_mean":17, "b_median":22, "b_mode":22, "b_stdev":11, "b_min":-32, "b_max":34, "b_lq":17, "b_uq":23}
FPS 30.413361
FPS 30.413797
FPS 30.414231
{"l_mean":52, "l_median":51, "l_mode":65, "l_stdev":12, "l_min":9, "l_max":86, "l_lq":43, "l_uq":65, "a_mean":2, "a_median":1, "a_mode":0, "a_stdev":4, "a_min":-8, "a_max":25, "a_lq":0, "a_uq":4, "b_mean":14, "b_median":21, "b_mode":22, "b_stdev":15, "b_min":-35, "b_max":34, "b_lq":15, "b_uq":24}
FPS 30.413971
{"l_mean":53, "l_median":55, "l_mode":65, "l_stdev":12, "l_min":22, "l_max":68, "l_lq":44, "l_uq":65, "a_mean":3, "a_median":1, "a_mode":0, "a_stdev":5, "a_min":-8, "a_max":27, "a_lq":0, "a_uq":5, "b_mean":14, "b_median":21, "b_mode":22, "b_stdev":15, "b_min":-35, "b_max":35, "b_lq":15, "b_uq":23}
      0
    • 4

      @kidswong999 我解决了，就是阈值不对和threshold的值调太大了，谢谢了

      0