• 星瞳AI VISION软件内测!可以离线标注,训练,并生成OpenMV的模型。可以替代edge impulse https://forum.singtown.com/topic/8206
  • 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。
  • 请问iic和串口uart不能同时使用吗,一起用就会报错OSError: [Errno 19] ENODEV



    • # Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!
      
      import sensor, image, time, utime
      from machine import I2C
      from pyb import RTC
      from vl53l1x import VL53L1X
      from pyb import UART
      
      
      i2c = I2C(2)
      distance = VL53L1X(i2c)
      
      rtc = RTC()
      rtc.datetime((2021,11,25, 4,20,11, 0, 0))
      
      
      
      uart = UART(3)
      
      uart.init(115200, timeout_char=1000)
      
      sensor.reset() # Reset and initialize the sensor.
      
      sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
      
      sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
      
      sensor.skip_frames(time = 2000) # Wait for settings take effect.
      
      clock = time.clock() # Create a clock object to track the FPS.
      
      
      
      
      while(True):
      
          clock.tick() # Update the FPS clock.
          img = sensor.snapshot() # Take a picture and return the image.
          uart.write(img.compressed(quality=50)) # Note: OpenMV Cam runs about half as fast when connected
      #    uart.write("range: mm ", distance.read())
      #    uart.write(rtc.datetime())
          print("range: mm ", distance.read())
          time.sleep_ms(1000)
      
      


    • 引脚冲突,你可以用uart1,也就是P0,P1.

      https://singtown.com/product/50812/openmv4-h7-plus/