• 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。
  • find_numbers历程进行数字识别,2s后显示没有找到相关属性?



    • 0_1534334856453_1534334814(1).jpg



    • LetNet Example

      import sensor, image, time

      sensor.reset() # Reset and initialize the sensor.
      sensor.set_contrast(3)
      sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE)
      sensor.set_framesize(sensor.VGA) # Set frame size to QVGA (320x240)
      sensor.set_windowing((128, 128)) # Set 128x128 window.
      sensor.skip_frames(time = 2000) # Wait for settings take effect.
      sensor.set_auto_gain(False)
      sensor.set_auto_exposure(False)

      while(True):
      img = sensor.snapshot()
      # NOTE: Uncomment to detect dark numbers on white background
      # img.invert()
      out = img.find_number(roi=(img.width()//2-14, img.height()//2-14, 28, 28))
      img.draw_rectangle((img.width()//2-15, img.height()//2-15, 30, 30))
      if out[1] > 5: # Confidence level
      print("Number: %d Confidence: %0.2f" %(out[0], out[1]))

      报错提示
      Traceback (most recent call last):
      File "", line 17, in
      AttributeError: 'Image' object has no attribute 'find_number'
      MicroPython v1.9.4-4510-g23e8457de on 2018-06-29; OPENMV3 with STM32F765
      Type "help()" for more information.