• 免费好用的星瞳AI云服务上线!简单标注,云端训练,支持OpenMV H7和OpenMV H7 Plus。可以替代edge impulse。 https://forum.singtown.com/topic/9519
  • 我们只解决官方正版的OpenMV的问题(STM32),其他的分支有很多兼容问题,我们无法解决。
  • 如果有产品硬件故障问题,比如无法开机,论坛很难解决。可以直接找售后维修
  • 发帖子之前,请确认看过所有的视频教程,https://singtown.com/learn/ 和所有的上手教程http://book.openmv.cc/
  • 每一个新的提问,单独发一个新帖子
  • 帖子需要目的,你要做什么?
  • 如果涉及代码,需要报错提示全部代码文本,请注意不要贴代码图片
  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 出现这个NameError: name 'blob' isn't defined错误怎么解决呢?



    • # Multi Color Blob Tracking Example
      #
      # This example shows off multi color blob tracking using the OpenMV Cam.
      
      import sensor, image, time, math
      from pyb import LED
      from pyb import UART
      uart = UART(3, 9600)
      uart.init(9600, bits=8, parity=None, stop=1)
      # 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 = [(0, 100, 35, 105, -36, 122), # generic_red_thresholds
                    (36, 93, -32, 39, 31, 90), # generic_yellow_thresholds
                    (0, 95, 18, 105, -102, -47),# generic_blue_thresholds
                    (0, 35, -128, 127, -128, 127),# generic_black_thresholds
                    (46, 91, -54, 9, -48, -8)] #generic_white_thresholds
      
      #LED(1).on()
      #LED(2).on()
      #LED(3).on()
      # 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.QQQVGA)
      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
      left_roi = [0,0,50,20]
      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,roi=left_roi,pixels_threshold=100, area_threshold=100):
              # 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())
          print(blob.code())
          #uart.write("%x" %(blob.code()))
          X=int(blob.code())
          data = bytearray([0xa5,X,0x00,0x00,X,0x5a])
          uart.write(data)
          #usrt.write(output_shuju'\r\n')改为uart.write("output_shuju\r\n")
          #只识别物块,通过blob中roi值的定义即可完成定义
      


    • 51行到58行的缩进有问题,没有在for循环里面。