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    42pu

    @42pu

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    42pu 发布的帖子

    • RE: 巡线代码,我的代码按照巡线小车实验改的,为什么老是报错?

      @p4mo 0_1690705797425_c765cb61-8313-441b-8216-c4c0312c4a8f-image.png
      print,你让他打印了😗

      发布在 OpenMV Cam
      4
      42pu
    • RE: Openmv巡线程序,代码、图片,描述如下,这问题怎么解决?在线等

      0_1690705496423_03453602-247a-438a-9a9f-e62564f6324b-image.png

      发布在 OpenMV Cam
      4
      42pu
    • RE: Openmv巡线程序,代码、图片,描述如下,这问题怎么解决?在线等

      找到问题了,是openmv在刚运行过程中,状态不稳定,读取到了一种未列出的情况,然后导致串口无值传输,就直接报错了,算是我考虑不周,我在我的情况集尾加上else就可以解决了,谢谢佬😂

      发布在 OpenMV Cam
      4
      42pu
    • RE: Openmv巡线程序,代码、图片,描述如下,这问题怎么解决?在线等

      代码中有个图片标签是我失误整上的,测试时记得删除😅

      发布在 OpenMV Cam
      4
      42pu
    • RE: Openmv巡线程序,代码、图片,描述如下,这问题怎么解决?在线等

      0_1690536730440_dbb2ef0a922e74d6c2f1e9e2d3ab21d.jpg

      发布在 OpenMV Cam
      4
      42pu
    • Openmv巡线程序,代码、图片,描述如下,这问题怎么解决?在线等
      THRESHOLD = (100, 4, 12, 71, 57, -16) # Grayscale threshold for dark things...
      import sensor, image, time, math, pyb
      from pyb import LED, UART
      #import car
      from pid import PID
      import json
      import ustruct
      rho_pid = PID(p=0.4, i=0)
      theta_pid = PID(p=0.001, i=0)
      
      roi1 =  [(0,22,28,16),# 左 x y w h
               (52,22,28,16),# 右
               (28,0,24,20),#上
               (0,0,28,22), #左上
               (52,0,28,22),# 右上
               (0,38,30,18), # 下左
               (50,38,30,18)]#下右
      led = pyb.LED(3)
      sensor.reset()
      #sensor.set_vflip(True)
      #sensor.set_hmirror(False)
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QQQVGA) # 80x60 (4,800 pixels) - O(N^2) max = 2,3040,000.
      #sensor.set_windowing([0,20,80,40])
      sensor.skip_frames(time = 2000)     # WARNING: If you use QQVGA it may take seconds
      clock = time.clock()                # to process a frame sometimes.
      uart = UART(3,115200)   #定义串口3变量
      uart.init(115200, bits=8, parity=None, stop=1)
      i=0
      while(True):
          clock.tick()
          led.on()
          img = sensor.snapshot().binary([THRESHOLD])
          line = img.get_regression([(100,100)], robust = True)
          left_flag,right_flag,up_flag=(0,0,0)
          for rec in roi1:
                  img.draw_rectangle(rec, color=(255,0,0))#绘制出roi区域
          if (line):
              rho_err = abs(line.rho())-img.width()/2
              if line.theta()>90:
                  theta_err = line.theta()-180
              else:
                  theta_err = line.theta()
              img.draw_line(line.line(), color = 127)
              #print(rho_err,line.magnitude(),rho_err)
              if line.magnitude()>6:
                  #if -40<b_err<40 and -30<t_err<30:
                  rho_output = rho_pid.get_pid(rho_err,1)
                  theta_output = theta_pid.get_pid(theta_err,1)
                  output = rho_output+theta_output
                  output_str = "%d" %output
      
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[0]):  #left
                      left_flag=1
                  else:
                      left_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[1]):  #right
                      right_flag=1
                  else:
                      right_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[2]):  #up
                      up_flag=1
                  else:
                      up_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[3]):  #up_left
                      up_left_flag=1
                  else:
                      up_left_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[4]):  #up_right
                      up_right_flag=1
                  else:
                      up_right_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[5]):  #dowm-left
                      dowm_left_flag=1
                  else:
                      dowm_left_flag=0
                  if img.find_blobs([(96, 100, -13, 5, -11, 18)],roi=roi1[6]):  #dowm-right
                      dowm_right_flag=1
                  else:
                      dowm_right_flag=0
                  if (left_flag==1 or dowm_left_flag==1) and (right_flag==1 or dowm_right_flag==1) and up_flag==1 and up_right_flag==0 and up_left_flag==0:
                      num=int(output_str)
                      flag = 1
                      print('十字路口',num,flag)
                  elif left_flag==1 and up_flag==1 and right_flag==0 and dowm_right_flag==0 and dowm_left_flag==0 and up_right_flag==0 and up_left_flag==0:
                      num=0
                      flag = 2
                      print('左转路口',num,flag)
                  elif right_flag==1 and up_flag==1 and left_flag==0 and dowm_right_flag==0 and dowm_left_flag==0 and up_right_flag==0 and up_left_flag==0:
                      num=0
                      flag = 3
                      print('右转路口',num,flag)
                  elif right_flag==1 and up_flag==0 and left_flag==1 and up_left_flag==0 and up_right_flag==0:
                      num=0
                      flag = 4
                      print('丁字路口',num,flag)
                  elif up_flag==1 and right_flag==0 and left_flag==0 and dowm_right_flag==0 and dowm_left_flag==0:
                      num=int(output_str)
                      flag = 0
                      print("前进前进前进",num)
                  elif up_flag==1 and right_flag==0 and left_flag==0 and dowm_right_flag==1 and dowm_left_flag==1:
                      num=0
                      flag = 0
                      print("克服![0_1690536448916_dbb2ef0a922e74d6c2f1e9e2d3ab21d.jpg](https://fcdn.singtown.com/3eaf92ce-9173-409f-bbac-7499a8508829.jpg) 干扰前进",num)
                  elif up_flag==0 and right_flag==1 and left_flag==0:
                      num=int(output_str)
                      flag = 0
                      print("偏右",num,flag)
                  elif up_flag==0 and right_flag==0 and left_flag==1:
                      num=int(output_str)
                      flag = 0
                      print("偏左",num,flag)
                  elif up_flag==1 and up_right_flag==1:
                      num=0
                      flag = 0
                      print('前进道路',num,flag)
                  elif up_flag==1 and up_left_flag==1:
                      num=0
                      flag = 0
                      print('前进道路',num,flag)
                  elif up_flag==1 and up_right_flag==1 and up_left_flag==1:
                      num=0
                      flag = 0
                      print('前进道路',num,flag)
                  elif up_flag==1 and up_left_flag==1:
                      num=0
                      flag = 0
                      print('前进道路',num,flag)
                  elif up_flag==1 and up_left_flag==0:
                      num=0
                      flag = 0
                      print('左前检测道路',num,flag)
                  elif up_flag==1 and up_right_flag==0:
                      num=0
                      flag = 0
                      print('右前检测道路',num,flag)
      
              else:
                  num = 0
                  flag = 0
                  print("<8",flag)
          else:
              num = 101
              flag = 0
              print("101",flag)
              #pass
          data = bytearray([0xb3,0xb3,num,flag,0x5b])
          uart.write(data)
          #print(clock.fps())
      
      

      图片接线就接了个VCC(5V)、GND和P4(负责向STM32发送数据)
      当脱机运行时,如果摄像头被近距离遮挡(我是用手捂住)后,openmv就会闪红灯接着程序挂掉,不遮挡的话就会正常执行

      发布在 OpenMV Cam
      4
      42pu