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  • 请问为什么运行这个多颜色识别的代码会出现多个框框出来,请问如何消除其他框呢?



    • 0_1695784289948_ceb3f683-112f-4d19-81ee-00756234e76a-image.png
      0_1695784428684_09e7b429-36d1-47a8-b691-8d7395896b39-image.png
      请问为什么运行这个多颜色识别的代码会出现多个框框出来,明明只有这个红色才需要框出来的,请问如何消除其他框呢?而且还有在白框中有其他彩色的线出来,为什么有这些红蓝绿的线,他们起什么作用呢对颜色识别?可以不要消除吗?

      # Multi Color Blob Tracking Example
      #
      # This example shows off multi color blob tracking using the OpenMV Cam.
      
      import sensor, image, time, math
      
      # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
      # The below thresholds track in general red/green things. You may wish to tune them...
      thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
                    (30, 100, -64, -8, -32, 32), # generic_green_thresholds
                    (0, 15, 0, 40, -80, -20)] # generic_blue_thresholds
      # You may pass up to 16 thresholds above. However, it's not really possible to segment any
      # scene with 16 thresholds before color thresholds start to overlap heavily.
      
      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()
      
      # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
      # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
      # camera resolution. Don't set "merge=True" becuase that will merge blobs which we don't want here.
      
      while(True):
          clock.tick()
          img = sensor.snapshot()
          for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=200):
              # These values depend on the blob not being circular - otherwise they will be shaky.
              if blob.elongation() > 0.5:
                  img.draw_edges(blob.min_corners(), color=(255,0,0))
                  img.draw_line(blob.major_axis_line(), color=(0,255,0))
                  img.draw_line(blob.minor_axis_line(), color=(0,0,255))
              # These values are stable all the time.
              img.draw_rectangle(blob.rect())
              img.draw_cross(blob.cx(), blob.cy())
              # Note - the blob rotation is unique to 0-180 only.
              img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)
          print(clock.fps())
      
      


    • 很简单,阈值不对。
      thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
      (30, 100, -64, -8, -32, 32), # generic_green_thresholds
      (0, 15, 0, 40, -80, -20)] # generic_blue_thresholds

      你这个是三个颜色的阈值。

      参考视频:https://singtown.com/learn/49993/



    • @kidswong999 可是我是想多颜色识别的,所以设三个阈值啊,每个颜色能识别的阈值是设置好的,可为什么会出现那么多白框呢?