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  • 关于视觉识别后的结果通过串口发送到其他设备 要怎么做



    • Single Color RGB565 Blob Tracking Example

      This example shows off single color RGB565 tracking using the OpenMV Cam.

      import sensor, image, time

      threshold_index = 0 # 0 for red, 1 for green, 2 for blue

      Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)

      The below thresholds track in general red/green/blue things. You may wish to tune them...

      thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
      (30, 100, -64, -8, -32, 32), # generic_green_thresholds
      (0, 30, 0, 64, -128, 0)] # generic_blue_thresholds

      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False) # must be turned off for color tracking
      sensor.set_auto_whitebal(False) # must be turned off for color tracking
      clock = time.clock()

      Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are

      returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the

      camera resolution. "merge=True" merges all overlapping blobs in the image.

      while(True):
      clock.tick()
      img = sensor.snapshot()
      for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True):
      img.draw_rectangle(blob.rect())
      img.draw_cross(blob.cx(), blob.cy())
      print(clock.fps())

      这个是openMV自带的单颜色识别,

      UART Control 串口通信

      import time
      from pyb import UART

      uart = UART(3, 115200)
      uart.init(115200, bits=8, parity=None, stop=1) # init with given parameters
      while(True):
      uart.write("Hello World!\r")
      print("Hello World")
      # 休眠1s
      time.sleep(1000)

      这个是向串口发送数据的代码

      现在要实现 在OPENMV用自带的代码 进行单颜色识别 识别了颜色后会发出一个信号符或标识符, 通过串口发送到
      TTL 转接到PC上的串口的显示 从而进行单片机之间的通信
      例如, 识别了红色后 发出一个1或red的信号 通过串口 发送到 串口调试助手, 显示出1或red
      这两个代码要怎么结合 做才能达到这个效果,, PYthon新手,求各位大神指导