• 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。
  • 代码倒数第四行,运行后说是没有定义,问一下在哪里定义?



    • #Single Color RGB565 Blob Tracking Example
      #
      #This example shows off single color RGB565 tracking using the OpenMv Cam.
      
      import sensor, image, time
      
      #Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max,)
      #The below thresholds track in general red/green/blue things. You may wish to tune them..
      thresholds = (30,100,15,127,15,127) # generic_red_thresholds
      
      
      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" area
      # returned by "find_blobs"below. Change "pixels_threshold" and "area_threshold" if you change the
      # camera resolution. "merge=True" merges all overlapping blobs in the image.
      
      while(True):
          clock.tick()
          img = sensor.snapshot()
          for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold = 200,area_threshold = 200, merge=True):
              img.draw_rectangle(blob.rect())
              img.draw_cross(blob.cx(),blob.cy())
              print(clock.fps())
      


    • for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold = 200,area_threshold = 200, merge=True):

      改为

      for blob in img.find_blobs([thresholds], pixels_threshold = 200,area_threshold = 200, merge=True):