• 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/
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  • 帖子需要目的,你要做什么?
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  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • openmv不能识别小球然后驱动小车,就是追踪小球那出现了问题,求大神解决



    • # 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...
      red_threshold   = (39, 71, 47, 71, -22, 60)
      size_threshold = 2000
      x_pid = PID(p=0.5, i=1, imax=100)
      h_pid = PID(p=0.05, 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([red_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)