• OpenMV VSCode 扩展发布了,在插件市场直接搜索OpenMV就可以安装
  • 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。
  • 接受几次数据后就卡死了



    • import sensor, image, time, math
      from pyb import UART

      uart = UART(3,4800, timeout_char=1000) # i使用给定波特率初始化
      uart.init(4800, bits=8, parity=None, stop=1, timeout_char=1000) # 使用给定参数初始化
      GRAYSCALE_THRESHOLD = [(0, 64)]
      ROIS = [ # [ROI, weight]
      (0, 0, 1, 1, 1), # You'll need to tweak the weights for your app
      (0, 50, 320, 30, 1), # depending on how your robot is setup.
      (0, 0, 1, 1, 1)
      ]

      weight_sum = 0
      for r in ROIS: weight_sum += r[4]

      sensor.reset() # Initialize the camera sensor.
      sensor.set_contrast(3)
      sensor.set_gainceiling(16)
      sensor.set_pixformat(sensor.GRAYSCALE) # use grayscale.
      sensor.set_framesize(sensor.VGA) # use QQVGA for speed.
      sensor.set_windowing((320, 240))
      sensor.skip_frames(time = 2000) # Let new settings take affect.
      sensor.set_auto_gain(False,value=100) # must be turned off for color tracking
      sensor.set_auto_whitebal(False) # must be turned off for color tracking
      clock = time.clock() # Tracks FPS.

      a=0
      def draw_keypoints(img, kpts):
      if kpts:
      print(kpts)
      img.draw_keypoints(kpts)
      img = sensor.snapshot()
      time.sleep(1000)
      kpts1 = image.load_descriptor("/desc.orb")
      img = sensor.snapshot()

      def high(x):
      x=x>>8
      return x

      def low(x):
      x=x&0xff
      return x

      while(True):
      clock.tick() # Track elapsed milliseconds between snapshots().
      img = sensor.snapshot() # Take a picture and return the image.
      print(1)
      if uart.any():
      a=int(uart.readchar())
      print(a)

      请在这里粘贴代码
      



    已锁定