导航

    • 登录
    • 搜索
    • 版块
    • 产品
    • 教程
    • 论坛
    • 淘宝
    1. 主页
    2. aq5x
    A
    • 举报资料
    • 资料
    • 关注
    • 粉丝
    • 屏蔽
    • 帖子
    • 楼层
    • 最佳
    • 群组

    aq5x

    @aq5x

    0
    声望
    5
    楼层
    417
    资料浏览
    0
    粉丝
    0
    关注
    注册时间 最后登录

    aq5x 关注

    aq5x 发布的帖子

    • RE: can't convert list to int

      @kidswong999 谢谢我已经自己找到问题了,中间漏了一个invert的参数

      发布在 OpenMV Cam
      A
      aq5x
    • RE: can't convert list to int

      此外,它有的时候会显示lab_l_min isn't define

      发布在 OpenMV Cam
      A
      aq5x
    • RE: can't convert list to int

      0_1617013038817_QQ图片20210329181610.png

      发布在 OpenMV Cam
      A
      aq5x
    • can't convert list to int
      # UART Control
      #
      # This example shows how to use the serial port on your OpenMV Cam. Attach pin
      # P4 to the serial input of a serial LCD screen to see "Hello World!" printed
      # on the serial LCD display.
      
      
      from pyb import UART
      import sensor, image, time, math
      
      
      # 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...
      
      
      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()
      # Always pass UART 3 for the UART number for your OpenMV Cam.
      # The second argument is the UART baud rate. For a more advanced UART control
      # example see the BLE-Shield driver.
      uart = UART(3, 115200)
      width=10
      high=10
      lab_l_min=100
      lab_l_max=0
      lab_a_min=128
      lab_a_max=-127
      lab_b_min=128
      lab_b_max=-127
      while(True):
          clock = time.clock()
          img = sensor.snapshot()
          img.draw_rectangle(160-(width//2),120-(high//2),width,high,color = (0, 0, 255), thickness = 2,size = 10 )
          a=0
          b=0
          if uart.any():
              a= uart.readline().decode()
              print(a)
              b=int(a)    
          if b==1:
              print(12345)
              width=width+10
          if b==2:
             high=high+10
          if b==3:
              while(True):
                  for i in range(width):
                      for j in range(high):
                          if(i==0 and j==0):
                              lab_l_min=100
                              lab_l_max=0
                              lab_a_min=128
                              lab_a_max=-127
                              lab_b_min=128
                              lab_b_max=-127
                              print(lab_l_min)
                          (r,g,b)=img.get_pixel(120-width//2,160-high//2)
                          (lab_l,lab_a,lab_b)=image.rgb_to_lab(r,g,b)
                          if lab_l<lab_l_min:
                              lab_l_min=int (lab_l)
                          if lab_l>lab_l_max:
                              lab_l_max=int (lab_l)
                          if lab_a<lab_a_min:
                              lab_a_min=int (lab_a)
                          if lab_a>lab_a_max:
                              lab_a_max=int (lab_a)
                          if lab_b>lab_b_max:
                              lab_b_max=int (lab_b)    
                          if lab_b<lab_b_min:
                              lab_b_min=int (lab_b)               
                  print(lab_l_min,lab_l_max,lab_a_min,lab_a_max,lab_b_min,lab_b_max)
                  thresholds = [(lab_l_min,lab_l_max,lab_a_min,lab_a_max,lab_b_min,lab_b_max)] # 色块追踪选择阈值
                  max_x=0
                  max_y=0
                  high=0
                  width=0
                  S=0
                  while(True):
                      clock.tick()
                      img = sensor.snapshot()           
                      center_roi=[160,120,width,high]
                      for blob in img.find_blobs(thresholds,center_roi ,pixels_threshold=200, area_threshold=200, merge=True):
                          if blob[4]>S:
                              S=blob[4]
                              start_x=blob[0]
                              start_y=blob[1]
                              width=blob[2]
                              high=blob[3]
                              max_x=blob[5]
                              max_y=blob[6]
                      img.draw_rectangle(start_x,start_y,width,high)
                      S=0
                      center_roi=(start_x-15,start_y-15,width+30,high+30)
                      print(width,S,high,max_x,max_y)
                      print(clock.fps())
      
      发布在 OpenMV Cam
      A
      aq5x
    • USART通信连接不上

      用串口调试助手查看USART通讯发送数据, 打开了串口调试助手,但是在连接openmv的时候IDE显示正在连接(如果连接超过5秒钟请断开),很长时间都连不上。取消之后显示错误:拒绝访问1

      发布在 OpenMV Cam
      A
      aq5x