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  • 为什么说我sqrt未定义?



    • 0_1571831333053_c4c6ee79-d64c-4d7c-9c51-96023ed0f456-image.png
      0_1571831363889_64b8d8ff-0f2f-412e-b10c-053ddd28bb84-image.png

      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.
      thresholds = [(10, 65, 30, 80, 10, 70)]
      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.
      
      def find_max(blobs):
          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
      
      while(True):
          clock.tick()
          img = sensor.snapshot()
          blobs=img.find_blobs(thresholds, pixels_threshold=40, area_threshold=40)
          if(blobs):
           max_blob=find_max(blobs)
      #    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)
           if (max_blob.elongation() > 0.5 and max_blob.elongation()<1):
                img.draw_edges(max_blob.min_corners(), color=(255,0,0))
                img.draw_line(max_blob.major_axis_line(), color=(0,255,0))
                img.draw_line(max_blob.minor_axis_line(), color=(0,0,255))
              # These values are stable all the time.
           if max_blob.elongation() > 0.5:
               img.draw_rectangle(max_blob.rect())
               img.draw_cross(max_blob.cx(), max_blob.cy())
              # Note - the blob rotation is unique to 0-180 only.
               img.draw_keypoints([(max_blob.cx(), max_blob.cy(), int(math.degrees(max_blob.rotation())))], size=20)
               a=max_blob.major_axis_line()
               b=max_blob.minor_axis_line()
               c=sqrt(4)
      #         c=sqrt(((a[2]-a[0])^2) + ((a[3]-a[1])^2))
               print(c)
      


    • 已解决,需要添加math.sqrt