星瞳实验室APP,快速收到回复
  • 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。
  • 这样向STM32传输坐标信息,为什么STM32接受不到?



    • # Blob Detection and uart transport
      import sensor, image, time
      from pyb import UART
      import json
      # 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   = (9,47,17,45,-6,29)
      # 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.
      
      uart = UART(3, 115200)
      def find_max(blobs):
          max_size=0
          for blob in blobs:
              if blob.pixels() > max_size:
                  max_blob=blob
                  max_size = blob.pixels()
          return max_blob
      
      while(True):
          img = sensor.snapshot() # Take a picture and return the image.
      
          blobs = img.find_blobs([red_threshold])
          if blobs:
              max_blob=find_max(blobs)
              img.draw_rectangle(max_blob.rect())
              img.draw_cross(max_blob.cx(), max_blob.cy())
      
              output_str="(%d,%d)\r" % (max_blob.cx(),max_blob.cy())
              #output_str=json.dumps([max_blob.cx(),max_blob.cy()]) #方式2
      
              uart.write(output_str)
          time.sleep_ms(300)
      
      


    • 用串口调试扩展板,或者示波器,看看OpenMV是否发送了数据。