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  • 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。
  • 根据追踪小球的小车的例子做了一个出来,但是发现小车并没有像视频里面那样和小球保持一段距离,识别到了就往前顶,



    • Blob Detection Example

      This example shows off how to use the find_blobs function to find color

      blobs in the image. This example in particular looks for dark green objects.

      import sensor, image, time
      import car
      from pid import PID

      You may need to tweak the above settings for tracking green things...

      Select an area in the Framebuffer to copy the color settings.

      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(10) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.

      For color tracking to work really well you should ideally be in a very, very,

      very, controlled enviroment where the lighting is constant...

      green_threshold = (76, 96, -110, -30, 8, 66)
      size_threshold = 2000
      x_pid = PID(p=3, i=1, imax=100)
      h_pid = PID(p=0.22, i=0.1, imax=50)

      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() # Track elapsed milliseconds between snapshots().
      img = sensor.snapshot() # Take a picture and return the image.

      blobs = img.find_blobs([green_threshold])
      if blobs:
          max_blob = find_max(blobs)
          x_error = max_blob[5]-img.width()/2
          h_error = max_blob[2]*max_blob[3]-size_threshold
          print("x error: ", x_error)
          '''
          for b in blobs:
              # Draw a rect around the blob.
              img.draw_rectangle(b[0:4]) # rect
              img.draw_cross(b[5], b[6]) # cx, cy
          '''
          img.draw_rectangle(max_blob[0:4]) # rect
          img.draw_cross(max_blob[5], max_blob[6]) # cx, cy
          x_output=x_pid.get_pid(x_error,1)
          h_output=h_pid.get_pid(h_error,1)
          print("h_output",h_output)
          car.run(-h_output-x_output,-h_output+x_output)
      else:
          car.run(10,-10)
      


    • size_threshold 改小一些。

      如果目标比这个值小,就会往前走。