4. 报错为not find类，但不理解怎么解决
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    • 报错为not find类，但不理解怎么解决


    • @ugli 在 报错为not find类，但不理解怎么解决 中说：

      @kidswong999 顺便问一下，PID 一般起到的是发送控制指令的作用吗？如果和飞控连接，我的老师说的是openmv部分的代码并不需要pid，所以我比较疑惑与飞控进行连接的时候，是基于什么而实现控制指令？

      单独的问题单独发帖子。

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      @kidswong999 import sensor, image, time, pyb, struct, math
      import pid, data_pack

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_1_1():
      red_threshold_01 = (0,55) #目标色块的灰度值参数范围
      time_flag = 0
      num_stop = 0
      pid_x = pid.PID(80,0.5,0,0,30) #x轴方向的pid控制，pid参数要自己调
      pid_y = pid.PID(60,0.5,0,0,30) #y轴方向的pid控制
      flag_x_y = 0
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      ##################各个字母所对应的ASCII值######################
      R = ord('R')
      L = ord('L')
      S = ord('S')
      B = ord('B')
      G = ord('G')
      E = ord('E')
      ###########################################################
      Buzzer.value(1)
      time.sleep(1000)
      Buzzer.value(0)
      while(True):
      print("the task number is 1 now!")
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([red_threshold_01],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([red_threshold_01], invert = True) #二值化处理
      if blobs: #如果识别到目标色块
      #print(blobs) #在终端打印出blobs的信息
      bigBlob = blobs[0] #将第一个色块赋值给最大色块
      for blob_temp in blobs: #此循环找出最大色块，进一步滤除噪声
      if compareBlob(bigBlob, blob_temp) == -1:
      bigBlob = blob_temp
      img.draw_rectangle(bigBlob[0:4]) #画个矩形框标出色块所在区域
      img.draw_cross(bigBlob[5], bigBlob[6]) #画个十字架标出色块所在区域的中心点
      if (abs(bigBlob.cx() - 80) < 5) and
      (abs(bigBlob.cy() - 60) < 5):
      time_flag = 1
      if flag_x_y == 0 : #调节x与y方向的切换标志
      speed_x = pid_x.IncPIDCalc(bigBlob.cx())
      # print("speed_x: %f" %speed_x)
      if speed_x > 0: #说明目标当前x值偏小，无人机偏右，需要向左调整
      data_pack.send_cmd(L,speed_x)
      else:
      data_pack.send_cmd(R,abs(speed_x))
      print("RIGHT")
      flag_x_y = 1 #标志位置1，表示下次循环调整y轴方向
      else :
      speed_y = pid_y.IncPIDCalc(bigBlob.cy())
      #print("speed_y: %f" %speed_y)
      if speed_y >= 0: #说明目标当前y值偏小，无人机偏后，需要向前调整
      data_pack.send_cmd(G,speed_y)
      else:
      data_pack.send_cmd(B,abs(speed_y))
      flag_x_y = 0 #标志位置0，表示下次循环调整x轴方向
      if time_flag == 1:
      num_stop += 1
      if num_stop >= 200 : #200次差不多15秒钟，降落
      num_stop = 0
      data_pack.send_cmd(E,0)
      else:
      data_pack.send_cmd(S,0) #没有检测到目标色块，这里让无人机原地罚站

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    • U

      @kidswong999 import sensor, image, time, pyb, struct, math

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_1_2():
      red_threshold_01 = (0,55) #目标色块的灰度值参数范围
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      while(True):
      print("the task number is 2 now!")
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([red_threshold_01],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([red_threshold_01], invert = True) #二值化处理
      if blobs: #如果识别到目标色块
      #print(blobs) #在终端打印出blobs的信息
      bigBlob = blobs[0] #将第一个色块赋值给最大色块
      for blob_temp in blobs: #此循环找出最大色块，进一步滤除噪声
      if compareBlob(bigBlob, blob_temp) == -1:
      bigBlob = blob_temp
      img.draw_rectangle(bigBlob[0:4]) #画个矩形框标出色块所在区域
      img.draw_cross(bigBlob[5], bigBlob[6]) #画个十字架标出色块所在区域的中心点
      print("Bigbolb.pixel: %d" %bigBlob.pixels())
      if (bigBlob.pixels() < 1500) and
      (bigBlob.pixels() > 300):
      pyb.LED(2).on()
      Buzzer.value(1)
      else:
      pyb.LED(2).off()
      Buzzer.value(0)

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    • U

      @kidswong999 import sensor, image, time, pyb, struct, math
      import pid, data_pack

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_1_3():
      red_threshold_03 = (0,55) #目标色块的灰度值参数范围
      time_flag = 0
      num_stop = 0
      pid_x = pid.PID(80,0.3,0,0,30) #x轴方向的pid控制，pid参数要自己调
      pid_y = pid.PID(60,0.3,0,0,30) #y轴方向的pid控制
      flag_x_y = 0
      prepare_flag = 0
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      ##################各个字母所对应的ASCII值######################
      R = ord('R')
      L = ord('L')
      S = ord('S')
      B = ord('B')
      G = ord('G')
      E = ord('E')
      ###########################################################
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      while(True):
      print("the task number is 3 now!")
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([red_threshold_03],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([red_threshold_03], invert = True) #二值化处理
      if len(blobs) == 2: #如果识别到目标色块
      print("the number of blobs is %d" %len(blobs))
      if(abs(blobs[0].cx()-80)<5) and
      (abs(blobs[0].cy()-60)<5):
      time_flag = 1
      if flag_x_y == 0 : #调节x与y方向的切换标志
      speed_x = pid_x.IncPIDCalc(blobs[0].cx())
      # print("speed_x: %f" %speed_x)
      if speed_x > 0: #说明目标当前x值偏小，无人机偏右，需要向左调整
      data_pack.send_cmd(L,speed_x)
      else:
      data_pack.send_cmd(R,abs(speed_x))
      flag_x_y = 1 #标志位置1，表示下次循环调整y轴方向
      else :
      speed_y = pid_y.IncPIDCalc(blobs[0].cy())
      #print("speed_y: %f" %speed_y)
      if speed_y >= 0: #说明目标当前y值偏小，无人机偏后，需要向前调整
      data_pack.send_cmd(G,speed_y)
      else:
      data_pack.send_cmd(B,abs(speed_y))
      flag_x_y = 0 #标志位置0，表示下次循环调整x轴方向
      elif len(blobs) == 0:
      print("the number of blobs is %d" %len(blobs))
      if prepare_flag == 0 or prepare_flag == 2:
      data_pack.send_cmd(E,0) #没有检测到目标色块，这里让无人机原地罚站
      else:
      data_pack.send_cmd(G,5)

          else :
        print("the number of blobs is %d" %len(blobs))
        bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
        for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
            if compareBlob(bigBlob, blob_temp) == -1:
                bigBlob = blob_temp

        if prepare_flag == 1 and bigBlob.cy() > 80:
            data_pack.send_cmd(G,5)
        elif prepare_flag == 1 and bigBlob.cy() < 40:
            prepare_flag = 2

        if(abs(bigBlob.cx()-80)<5) and \
            (abs(bigBlob.cy()-60)<5) and \
            prepare_flag == 0:
            prepare_flag = 1
        if(abs(bigBlob.cx()-80)<5) and \
            (abs(bigBlob.cy()-60)<5) and \
            prepare_flag == 2:
            time_flag = 1
        if prepare_flag == 0 or prepare_flag == 2:
            if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                speed_x = pid_x.IncPIDCalc(bigBlob.cx())
               # print("speed_x: %f" %speed_x)
                if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                    data_pack.send_cmd(L,speed_x)
                else:
                    data_pack.send_cmd(R,abs(speed_x))
                flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
            else :
                speed_y = pid_y.IncPIDCalc(bigBlob.cy())
                #print("speed_y: %f" %speed_y)
                if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                    data_pack.send_cmd(G,speed_y)
                else:
                    data_pack.send_cmd(B,abs(speed_y))
                flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
        else:                                                         #准备就绪，进入8区
            data_pack.send_cmd(G,15)
    if time_flag == 1:
        num_stop += 1
        if num_stop >= 120 :                                  #100次差不多5秒钟，降落
            data_pack.send_cmd(L,15)
            time.sleep(100)
            data_pack.send_cmd(L,15)
            time.sleep(100)
            data_pack.send_cmd(L,15)
            time.sleep(100)
            num_stop = 0
            data_pack.send_cmd(E,0)
      0
    • U

      @kidswong999 import sensor, image, time, pyb, struct, math
      import pid, data_pack

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_2():
      threshold_01 = (0,55) #目标色块的灰度值参数范围
      number_period = 0
      pid_x = pid.PID(80,0.5,0,0,30) #x轴方向的pid控制，pid参数要自己调
      pid_y = pid.PID(60,0.5,0,0,30) #y轴方向的pid控制
      flag_x_y = 0
      flag_buzzer = 0
      stop_flag_car = 0
      clock = time.clock()
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      uart1 = pyb.UART(1, 115200, timeout_char = 100) #打开串口1
      ##################各个字母所对应的ASCII值######################
      R = ord('R')
      L = ord('L')
      S = ord('S')
      B = ord('B')
      G = ord('G')
      E = ord('E')
      ###########################################################
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      while(True):
      #print("the task number is 1 now!")
      clock.tick()
      number_period += 1
      if number_period >= 60 :
      number_period = 0
      if stop_flag_car != S:
      stop_flag_car = uart1.readchar()
      if stop_flag_car == S:
      if flag_buzzer == 0:
      data_pack.send_cmd(E,0)
      Buzzer.value(1)
      time.sleep(1000)
      Buzzer.value(0)
      flag_buzzer = 1
      #time.sleep(1000)
      # print("landing start!")
      #print("stop_flag_car : %s" %stop_flag_car)
      # data_pack.send_cmd(S,0)
      #print("stop_flag_car : %s" %stop_flag_car)
      #continue
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([threshold_01],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([threshold_01], invert = True) #二值化处理
      if blobs: #如果识别到目标色块
      #print(blobs) #在终端打印出blobs的信息
      bigBlob = blobs[0] #将第一个色块赋值给最大色块
      for blob_temp in blobs: #此循环找出最大色块，进一步滤除噪声
      if compareBlob(bigBlob, blob_temp) == -1:
      bigBlob = blob_temp
      img.draw_rectangle(bigBlob[0:4]) #画个矩形框标出色块所在区域
      img.draw_cross(bigBlob[5], bigBlob[6]) #画个十字架标出色块所在区域的中心点
      if flag_x_y == 0 : #调节x与y方向的切换标志
      speed_x = pid_x.IncPIDCalc(bigBlob.cx())
      # print("speed_x: %f" %speed_x)
      if speed_x > 0: #说明目标当前x值偏小，无人机偏右，需要向左调整
      data_pack.send_cmd(L,speed_x)
      else:
      data_pack.send_cmd(R,abs(speed_x))
      flag_x_y = 1 #标志位置1，表示下次循环调整y轴方向
      else :
      speed_y = pid_y.IncPIDCalc(bigBlob.cy())
      #print("speed_y: %f" %speed_y)
      if speed_y >= 0: #说明目标当前y值偏小，无人机偏后，需要向前调整
      data_pack.send_cmd(G,speed_y)
      else:
      data_pack.send_cmd(B,abs(speed_y))
      flag_x_y = 0 #标志位置0，表示下次循环调整x轴方向
      else:
      data_pack.send_cmd(S,0) #没有检测到目标色块，这里让无人机原地罚站

      0
    • U

      @kidswong999
      import sensor, image, time, math, struct ,pyb,utime
      class PID:
      def init(self, SetPoint,Proportion,Integral,Derivative,Limit):
      # WARNING: Don't use PA4-X5 or PA5-X6 as echo pin without a 1k resistor
      self.SetPoint = SetPoint #设定值
      self.Proportion = Proportion #P
      self.Integral = Integral #I
      self.Derivative = Derivative #D
      self.Limit = Limit #限幅
      self.LastError = 0 #前1次误差值
      self.PrevError = 0 #前2次误差值
      self.iError = 0 #当前误差
      self.iIncpid = 0 #增量误差
      self.Uk = 0 #输出返回\

      def IncPIDCalc(self, NextPoint):
      # 当前误差
      self.iError = self.SetPoint - NextPoint
      # 增量误差
      self.iIncpid = (self.Proportion * (self.iError - self.LastError)+ self.Integral *
                     self.iError + self.Derivative * (self.iError - 2 * self.LastError +
                     self.PrevError))
      #存储误差，用于下次计算
      self.PrevError = self.LastError
      self.LastError = self.iError

      self.Uk += self.iIncpid
      self.Uk = self.Limit_Amplitude(self.Uk)
     # print("NextPoint : %f" % NextPoint)
     # print("Uk : %f" % self.Uk)
      return self.Uk

def Limit_Amplitude(self,num):
    if num > self.Limit :
        return self.Limit
    elif num < -self.Limit:
        return -self.Limit
    else:
        return num
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    • U

      @kidswong999 import time, pyb, struct

      C = ord('C')
      F = ord('F')
      G = ord('G')
      B = ord('B')
      R = ord('R')
      L = ord('L')
      D = ord('D')
      U = ord('U')
      E = ord('E')
      S = ord('S')
      H = ord('H')
      uart3 = pyb.UART(3, 500000, timeout_char = 1000)
      green_led = pyb.LED(2)

      def send_89(direct,velcity):
      '''
      功能字为0x89，控制前进(后退)、左(右)、上升(下降)速度大小
      speed字段必须正
      '''
      s = 0xAA+0x8C+direct+(int(velcity/256))+(int(velcity%256))
      s = int(s % 256)
      temp_flow = struct.pack("<BBBBBhB",
      0x00,
      0xAA,
      0x89,
      03,
      direct,
      int(velcity),
      s)
      uart3.write(temp_flow)

      def send_98(direct,velcity):
      '''
      功能字为0x98，控制顺(逆)时针转动速度大小
      speed字段正负一样
      '''
      s = 0xAA+0x9B+direct+(int(velcity/256))+(int(velcity%256))
      s = int(s % 256)
      temp_flow = struct.pack("<BBBBBhB",
      0x00,
      0xAA,
      0x98,
      03,
      direct,
      velcity,
      s)
      uart3.write(temp_flow)

      def send_cmd(direct,velcity):
      if direct == C or direct == F:
      send_98(direct,velcity)
      time.sleep(3)
      else:
      send_89(direct,velcity)
      if direct == S:
      time.sleep(3)

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    • U

      @kidswong999 在 报错为not find类，但不理解怎么解决 中说：

      大佬十分抱歉，之前这段时间在忙其他事情，没能继续更进这个问题，按回复时间依次为 t2017_task1.py t2017_task2.py t2017_task3.py t2017_task_plus.py pid.py data_pack.py，求大佬不吝赐教！
      后面这是同一个教学案例包内的程序：line_calcu.py car_patro.py key_point.py
      第一个：
      import sensor, image, time

      def get_line_k(x1,x2,y1,y2):
      det_x = x2 - x1
      det_y = y2 - y1
      if det_x == 0: #考虑斜率无穷大的情况
      det_x = 1
      return (det_y/det_x)

      def get_line_b(x1,x2,y1,y2):
      k = get_line_k(x1,x2,y1,y2)
      return (y1-(k*x1))

      def get_line_cross_x(k1,k2,b1,b2):
      det_k = k1 - k2
      if det_k == 0:
      return -1
      else:
      return (b2 - b1)/(k1 - k2)

      def get_line_cross_y(k1,k2,b1,b2):
      det_k = k1 - k2
      if det_k == 0:
      return -1
      else:
      return (b1k2 - k1b2)/(k2 - k1)

      def get_cross_dot(lines):
      cross_dot = [0,0]
      x1 = lines[0].x1()
      x2 = lines[0].x2()
      x3 = lines[1].x1()
      x4 = lines[1].x2()
      y1 = lines[0].y1()
      y2 = lines[0].y2()
      y3 = lines[1].y1()
      y4 = lines[1].y2()
      k1 = get_line_k(x1,x2,y1,y2)
      k2 = get_line_k(x3,x4,y3,y4)
      b1 = get_line_b(x1,x2,y1,y2)
      b2 = get_line_b(x3,x4,y3,y4)
      cross_dot[0] = get_line_cross_x(k1,k2,b1,b2)
      cross_dot[1] = get_line_cross_y(k1,k2,b1,b2)
      return cross_dot
      第二个：
      import pyb,struct
      uart = pyb.UART(3,115200, timeout_char = 1000)
      def car_run(x1,x2):
      if x1 > 0 :
      right_value = x1
      else :
      right_value = x1
      if x2 > 0 :
      left_value = x2
      else :
      left_value = x2
      send_rpm(right_value,left_value)
      def send_rpm(right_value,left_value):
      left_rpm = int(left_value * 27)
      right_rpm = int(right_value * 27)
      left_rpm_low = left_rpm & 0x00ff
      left_rpm_high = left_rpm >> 8
      right_rpm_low = right_rpm & 0x00ff
      right_rpm_high = right_rpm >> 8
      xor = 0x6^0x3^0x4^(left_rpm_low)^(left_rpm_high)^(right_rpm_low)^(right_rpm_high)
      xor = (int(xor%256))
      temp_flow = struct.pack("<BBBBBhhB",
      0xaa,
      0x55,
      0x6,
      0x3,
      0x4,
      left_rpm,
      right_rpm,
      xor)
      ret = uart.write(temp_flow)
      print(left_rpm/27, right_rpm/27)
      第三个：
      import sensor, image, time

      0

    • 你的代码格式不对，缩进完全不对，没办法运行。我建议这个代码是谁写的就找谁问问。

      0
      U
       9 条回复
    • U

      @kidswong999

      import sensor, image, time, pyb, struct, math
import pid, data_pack



def compareBlob(blob1, blob2):                                    #比较两个色块大小的函数
    tmp = blob1.pixels() - blob2.pixels()
    if tmp == 0:
        return 0
    elif tmp > 0:
        return 1
    else:
        return -1

def task_2017_1_1():
    red_threshold_01 = (0,55)                                       #目标色块的灰度值参数范围
    time_flag = 0
    num_stop = 0
    pid_x = pid.PID(80,0.5,0,0,30)                                   #x轴方向的pid控制，pid参数要自己调
    pid_y = pid.PID(60,0.5,0,0,30)                                   #y轴方向的pid控制
    flag_x_y = 0
    Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
    ##################各个字母所对应的ASCII值######################
    R = ord('R')
    L = ord('L')
    S = ord('S')
    B = ord('B')
    G = ord('G')
    E = ord('E')
    ###########################################################
    Buzzer.value(1)
    time.sleep(1000)
    Buzzer.value(0)
    while(True):
        print("the task number is 1 now!")
        img = sensor.snapshot().lens_corr(1.8)
        blobs = img.find_blobs([red_threshold_01],
            pixels_threshold=100, merge=True)                         #寻找目标色块，低于150像素的视为噪声
        img.binary([red_threshold_01], invert = True)                 #二值化处理
        if blobs:                                                     #如果识别到目标色块
            #print(blobs)                                             #在终端打印出blobs的信息
            bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
            for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
                if compareBlob(bigBlob, blob_temp) == -1:
                    bigBlob = blob_temp
            img.draw_rectangle(bigBlob[0:4])                          #画个矩形框标出色块所在区域
            img.draw_cross(bigBlob[5], bigBlob[6])                    #画个十字架标出色块所在区域的中心点
            if (abs(bigBlob.cx() - 80) < 5) and \
                (abs(bigBlob.cy() - 60) < 5):
                time_flag = 1
            if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                speed_x = pid_x.IncPIDCalc(bigBlob.cx())
               # print("speed_x: %f" %speed_x)
                if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                    data_pack.send_cmd(L,speed_x)
                else:
                    data_pack.send_cmd(R,abs(speed_x))
                    print("RIGHT")
                flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
            else :
                speed_y = pid_y.IncPIDCalc(bigBlob.cy())
                #print("speed_y: %f" %speed_y)
                if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                    data_pack.send_cmd(G,speed_y)
                else:
                    data_pack.send_cmd(B,abs(speed_y))
                flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
            if time_flag == 1:
                num_stop += 1
                if num_stop >= 200 :                                  #200次差不多15秒钟，降落
                    num_stop = 0
                    data_pack.send_cmd(E,0)
        else:
            data_pack.send_cmd(S,0)                                #没有检测到目标色块，这里让无人机原地罚站

```上面的是task1

      import sensor, image, time, pyb, struct, math

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_1_2():
      red_threshold_01 = (0,55) #目标色块的灰度值参数范围
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      while(True):
      print("the task number is 2 now!")
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([red_threshold_01],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([red_threshold_01], invert = True) #二值化处理
      if blobs: #如果识别到目标色块
      #print(blobs) #在终端打印出blobs的信息
      bigBlob = blobs[0] #将第一个色块赋值给最大色块
      for blob_temp in blobs: #此循环找出最大色块，进一步滤除噪声
      if compareBlob(bigBlob, blob_temp) == -1:
      bigBlob = blob_temp
      img.draw_rectangle(bigBlob[0:4]) #画个矩形框标出色块所在区域
      img.draw_cross(bigBlob[5], bigBlob[6]) #画个十字架标出色块所在区域的中心点
      print("Bigbolb.pixel: %d" %bigBlob.pixels())
      if (bigBlob.pixels() < 1500) and
      (bigBlob.pixels() > 300):
      pyb.LED(2).on()
      Buzzer.value(1)
      else:
      pyb.LED(2).off()
      Buzzer.value(0)

      import sensor, image, time, pyb, struct, math
      import pid, data_pack

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_1_3():
      red_threshold_03 = (0,55) #目标色块的灰度值参数范围
      time_flag = 0
      num_stop = 0
      pid_x = pid.PID(80,0.3,0,0,30) #x轴方向的pid控制，pid参数要自己调
      pid_y = pid.PID(60,0.3,0,0,30) #y轴方向的pid控制
      flag_x_y = 0
      prepare_flag = 0
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      ##################各个字母所对应的ASCII值######################
      R = ord('R')
      L = ord('L')
      S = ord('S')
      B = ord('B')
      G = ord('G')
      E = ord('E')
      ###########################################################
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      time.sleep(500)
      Buzzer.value(1)
      time.sleep(500)
      Buzzer.value(0)
      while(True):
      print("the task number is 3 now!")
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([red_threshold_03],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([red_threshold_03], invert = True) #二值化处理
      if len(blobs) == 2: #如果识别到目标色块
      print("the number of blobs is %d" %len(blobs))
      if(abs(blobs[0].cx()-80)<5) and
      (abs(blobs[0].cy()-60)<5):
      time_flag = 1
      if flag_x_y == 0 : #调节x与y方向的切换标志
      speed_x = pid_x.IncPIDCalc(blobs[0].cx())
      # print("speed_x: %f" %speed_x)
      if speed_x > 0: #说明目标当前x值偏小，无人机偏右，需要向左调整
      data_pack.send_cmd(L,speed_x)
      else:
      data_pack.send_cmd(R,abs(speed_x))
      flag_x_y = 1 #标志位置1，表示下次循环调整y轴方向
      else :
      speed_y = pid_y.IncPIDCalc(blobs[0].cy())
      #print("speed_y: %f" %speed_y)
      if speed_y >= 0: #说明目标当前y值偏小，无人机偏后，需要向前调整
      data_pack.send_cmd(G,speed_y)
      else:
      data_pack.send_cmd(B,abs(speed_y))
      flag_x_y = 0 #标志位置0，表示下次循环调整x轴方向
      elif len(blobs) == 0:
      print("the number of blobs is %d" %len(blobs))
      if prepare_flag == 0 or prepare_flag == 2:
      data_pack.send_cmd(E,0) #没有检测到目标色块，这里让无人机原地罚站
      else:
      data_pack.send_cmd(G,5)

          else :
        print("the number of blobs is %d" %len(blobs))
        bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
        for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
            if compareBlob(bigBlob, blob_temp) == -1:
                bigBlob = blob_temp

        if prepare_flag == 1 and bigBlob.cy() > 80:
            data_pack.send_cmd(G,5)
        elif prepare_flag == 1 and bigBlob.cy() < 40:
            prepare_flag = 2

        if(abs(bigBlob.cx()-80)<5) and \
            (abs(bigBlob.cy()-60)<5) and \
            prepare_flag == 0:
            prepare_flag = 1
        if(abs(bigBlob.cx()-80)<5) and \
            (abs(bigBlob.cy()-60)<5) and \
            prepare_flag == 2:
            time_flag = 1
        if prepare_flag == 0 or prepare_flag == 2:
            if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                speed_x = pid_x.IncPIDCalc(bigBlob.cx())
               # print("speed_x: %f" %speed_x)
                if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                    data_pack.send_cmd(L,speed_x)
                else:
                    data_pack.send_cmd(R,abs(speed_x))
                flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
            else :
                speed_y = pid_y.IncPIDCalc(bigBlob.cy())
                #print("speed_y: %f" %speed_y)
                if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                    data_pack.send_cmd(G,speed_y)
                else:
                    data_pack.send_cmd(B,abs(speed_y))
                flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
        else:                                                         #准备就绪，进入8区
            data_pack.send_cmd(G,15)
    if time_flag == 1:
        num_stop += 1
        if num_stop >= 120 :                                  #100次差不多5秒钟，降落
            data_pack.send_cmd(L,15)
            time.sleep(100)
            data_pack.send_cmd(L,15)
            time.sleep(100)
            data_pack.send_cmd(L,15)
            time.sleep(100)
            num_stop = 0
            data_pack.send_cmd(E,0)

      import sensor, image, time, pyb, struct, math
      import pid, data_pack

      def compareBlob(blob1, blob2): #比较两个色块大小的函数
      tmp = blob1.pixels() - blob2.pixels()
      if tmp == 0:
      return 0
      elif tmp > 0:
      return 1
      else:
      return -1

      def task_2017_2():
      threshold_01 = (0,55) #目标色块的灰度值参数范围
      number_period = 0
      pid_x = pid.PID(80,0.5,0,0,30) #x轴方向的pid控制，pid参数要自己调
      pid_y = pid.PID(60,0.5,0,0,30) #y轴方向的pid控制
      flag_x_y = 0
      flag_buzzer = 0
      stop_flag_car = 0
      clock = time.clock()
      Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
      uart1 = pyb.UART(1, 115200, timeout_char = 100) #打开串口1
      ##################各个字母所对应的ASCII值######################
      R = ord('R')
      L = ord('L')
      S = ord('S')
      B = ord('B')
      G = ord('G')
      E = ord('E')
      ###########################################################
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      time.sleep(400)
      Buzzer.value(1)
      time.sleep(400)
      Buzzer.value(0)
      while(True):
      #print("the task number is 1 now!")
      clock.tick()
      number_period += 1
      if number_period >= 60 :
      number_period = 0
      if stop_flag_car != S:
      stop_flag_car = uart1.readchar()
      if stop_flag_car == S:
      if flag_buzzer == 0:
      data_pack.send_cmd(E,0)
      Buzzer.value(1)
      time.sleep(1000)
      Buzzer.value(0)
      flag_buzzer = 1
      #time.sleep(1000)
      # print("landing start!")
      #print("stop_flag_car : %s" %stop_flag_car)
      # data_pack.send_cmd(S,0)
      #print("stop_flag_car : %s" %stop_flag_car)
      #continue
      img = sensor.snapshot().lens_corr(1.8)
      blobs = img.find_blobs([threshold_01],
      pixels_threshold=100, merge=True) #寻找目标色块，低于150像素的视为噪声
      img.binary([threshold_01], invert = True) #二值化处理
      if blobs: #如果识别到目标色块
      #print(blobs) #在终端打印出blobs的信息
      bigBlob = blobs[0] #将第一个色块赋值给最大色块
      for blob_temp in blobs: #此循环找出最大色块，进一步滤除噪声
      if compareBlob(bigBlob, blob_temp) == -1:
      bigBlob = blob_temp
      img.draw_rectangle(bigBlob[0:4]) #画个矩形框标出色块所在区域
      img.draw_cross(bigBlob[5], bigBlob[6]) #画个十字架标出色块所在区域的中心点
      if flag_x_y == 0 : #调节x与y方向的切换标志
      speed_x = pid_x.IncPIDCalc(bigBlob.cx())
      # print("speed_x: %f" %speed_x)
      if speed_x > 0: #说明目标当前x值偏小，无人机偏右，需要向左调整
      data_pack.send_cmd(L,speed_x)
      else:
      data_pack.send_cmd(R,abs(speed_x))
      flag_x_y = 1 #标志位置1，表示下次循环调整y轴方向
      else :
      speed_y = pid_y.IncPIDCalc(bigBlob.cy())
      #print("speed_y: %f" %speed_y)
      if speed_y >= 0: #说明目标当前y值偏小，无人机偏后，需要向前调整
      data_pack.send_cmd(G,speed_y)
      else:
      data_pack.send_cmd(B,abs(speed_y))
      flag_x_y = 0 #标志位置0，表示下次循环调整x轴方向
      else:
      data_pack.send_cmd(S,0) #没有检测到目标色块，这里让无人机原地罚站

      import sensor, image, time, math, struct ,pyb,utime
      class PID:
      def init(self, SetPoint,Proportion,Integral,Derivative,Limit):
      # WARNING: Don't use PA4-X5 or PA5-X6 as echo pin without a 1k resistor
      self.SetPoint = SetPoint #设定值
      self.Proportion = Proportion #P
      self.Integral = Integral #I
      self.Derivative = Derivative #D
      self.Limit = Limit #限幅
      self.LastError = 0 #前1次误差值
      self.PrevError = 0 #前2次误差值
      self.iError = 0 #当前误差
      self.iIncpid = 0 #增量误差
      self.Uk = 0 #输出返回\

      def IncPIDCalc(self, NextPoint):
      # 当前误差
      self.iError = self.SetPoint - NextPoint
      # 增量误差
      self.iIncpid = (self.Proportion * (self.iError - self.LastError)+ self.Integral *
                     self.iError + self.Derivative * (self.iError - 2 * self.LastError +
                     self.PrevError))
      #存储误差，用于下次计算
      self.PrevError = self.LastError
      self.LastError = self.iError

      self.Uk += self.iIncpid
      self.Uk = self.Limit_Amplitude(self.Uk)
     # print("NextPoint : %f" % NextPoint)
     # print("Uk : %f" % self.Uk)
      return self.Uk

def Limit_Amplitude(self,num):
    if num > self.Limit :
        return self.Limit
    elif num < -self.Limit:
        return -self.Limit
    else:
        return num

      import time, pyb, struct

      C = ord('C')
      F = ord('F')
      G = ord('G')
      B = ord('B')
      R = ord('R')
      L = ord('L')
      D = ord('D')
      U = ord('U')
      E = ord('E')
      S = ord('S')
      H = ord('H')
      uart3 = pyb.UART(3, 500000, timeout_char = 1000)
      green_led = pyb.LED(2)

      def send_89(direct,velcity):
      '''
      功能字为0x89，控制前进(后退)、左(右)、上升(下降)速度大小
      speed字段必须正
      '''
      s = 0xAA+0x8C+direct+(int(velcity/256))+(int(velcity%256))
      s = int(s % 256)
      temp_flow = struct.pack("<BBBBBhB",
      0x00,
      0xAA,
      0x89,
      03,
      direct,
      int(velcity),
      s)
      uart3.write(temp_flow)

      def send_98(direct,velcity):
      '''
      功能字为0x98，控制顺(逆)时针转动速度大小
      speed字段正负一样
      '''
      s = 0xAA+0x9B+direct+(int(velcity/256))+(int(velcity%256))
      s = int(s % 256)
      temp_flow = struct.pack("<BBBBBhB",
      0x00,
      0xAA,
      0x98,
      03,
      direct,
      velcity,
      s)
      uart3.write(temp_flow)

      def send_cmd(direct,velcity):
      if direct == C or direct == F:
      send_98(direct,velcity)
      time.sleep(3)
      else:
      send_89(direct,velcity)
      if direct == S:
      time.sleep(3)

      0
    • U

      @kidswong999 这个是task2

      import sensor, image, time, pyb, struct, math

def compareBlob(blob1, blob2):                                    #比较两个色块大小的函数
    tmp = blob1.pixels() - blob2.pixels()
    if tmp == 0:
        return 0
    elif tmp > 0:
        return 1
    else:
        return -1

def task_2017_1_2():
    red_threshold_01 = (0,55)                                       #目标色块的灰度值参数范围
    Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
    Buzzer.value(1)
    time.sleep(500)
    Buzzer.value(0)
    time.sleep(500)
    Buzzer.value(1)
    time.sleep(500)
    Buzzer.value(0)
    while(True):
        print("the task number is 2 now!")
        img = sensor.snapshot().lens_corr(1.8)
        blobs = img.find_blobs([red_threshold_01],
            pixels_threshold=100, merge=True)                         #寻找目标色块，低于150像素的视为噪声
        img.binary([red_threshold_01], invert = True)                 #二值化处理
        if blobs:                                                     #如果识别到目标色块
            #print(blobs)                                             #在终端打印出blobs的信息
            bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
            for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
                if compareBlob(bigBlob, blob_temp) == -1:
                    bigBlob = blob_temp
            img.draw_rectangle(bigBlob[0:4])                          #画个矩形框标出色块所在区域
            img.draw_cross(bigBlob[5], bigBlob[6])                    #画个十字架标出色块所在区域的中心点
            print("Bigbolb.pixel: %d" %bigBlob.pixels())
            if (bigBlob.pixels() < 1500) and \
                (bigBlob.pixels() > 300):
                pyb.LED(2).on()
                Buzzer.value(1)
            else:
                pyb.LED(2).off()
                Buzzer.value(0)
      0
    • U

      @kidswong999 这个是task3

      import sensor, image, time, pyb, struct, math
import pid, data_pack

def compareBlob(blob1, blob2):                                    #比较两个色块大小的函数
    tmp = blob1.pixels() - blob2.pixels()
    if tmp == 0:
        return 0
    elif tmp > 0:
        return 1
    else:
        return -1


def task_2017_1_3():
    red_threshold_03 = (0,55)                                       #目标色块的灰度值参数范围
    time_flag = 0
    num_stop = 0
    pid_x = pid.PID(80,0.3,0,0,30)                                   #x轴方向的pid控制，pid参数要自己调
    pid_y = pid.PID(60,0.3,0,0,30)                                   #y轴方向的pid控制
    flag_x_y = 0
    prepare_flag = 0
    Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
    ##################各个字母所对应的ASCII值######################
    R = ord('R')
    L = ord('L')
    S = ord('S')
    B = ord('B')
    G = ord('G')
    E = ord('E')
    ###########################################################
    Buzzer.value(1)
    time.sleep(500)
    Buzzer.value(0)
    time.sleep(500)
    Buzzer.value(1)
    time.sleep(500)
    Buzzer.value(0)
    time.sleep(500)
    Buzzer.value(1)
    time.sleep(500)
    Buzzer.value(0)
    while(True):
        print("the task number is 3 now!")
        img = sensor.snapshot().lens_corr(1.8)
        blobs = img.find_blobs([red_threshold_03],
            pixels_threshold=100, merge=True)                         #寻找目标色块，低于150像素的视为噪声
        img.binary([red_threshold_03], invert = True)                 #二值化处理
        if len(blobs) == 2:                                           #如果识别到目标色块
            print("the number of blobs is %d" %len(blobs))
            if(abs(blobs[0].cx()-80)<5) and \
                (abs(blobs[0].cy()-60)<5):
                time_flag = 1
            if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                speed_x = pid_x.IncPIDCalc(blobs[0].cx())
               # print("speed_x: %f" %speed_x)
                if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                    data_pack.send_cmd(L,speed_x)
                else:
                    data_pack.send_cmd(R,abs(speed_x))
                flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
            else :
                speed_y = pid_y.IncPIDCalc(blobs[0].cy())
                #print("speed_y: %f" %speed_y)
                if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                    data_pack.send_cmd(G,speed_y)
                else:
                    data_pack.send_cmd(B,abs(speed_y))
                flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
        elif len(blobs) == 0:
            print("the number of blobs is %d" %len(blobs))
            if  prepare_flag == 0 or prepare_flag == 2:
                data_pack.send_cmd(E,0)                                #没有检测到目标色块，这里让无人机原地罚站
            else:
                data_pack.send_cmd(G,5)

        else :
            print("the number of blobs is %d" %len(blobs))
            bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
            for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
                if compareBlob(bigBlob, blob_temp) == -1:
                    bigBlob = blob_temp

            if prepare_flag == 1 and bigBlob.cy() > 80:
                data_pack.send_cmd(G,5)
            elif prepare_flag == 1 and bigBlob.cy() < 40:
                prepare_flag = 2

            if(abs(bigBlob.cx()-80)<5) and \
                (abs(bigBlob.cy()-60)<5) and \
                prepare_flag == 0:
                prepare_flag = 1
            if(abs(bigBlob.cx()-80)<5) and \
                (abs(bigBlob.cy()-60)<5) and \
                prepare_flag == 2:
                time_flag = 1
            if prepare_flag == 0 or prepare_flag == 2:
                if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                    speed_x = pid_x.IncPIDCalc(bigBlob.cx())
                   # print("speed_x: %f" %speed_x)
                    if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                        data_pack.send_cmd(L,speed_x)
                    else:
                        data_pack.send_cmd(R,abs(speed_x))
                    flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
                else :
                    speed_y = pid_y.IncPIDCalc(bigBlob.cy())
                    #print("speed_y: %f" %speed_y)
                    if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                        data_pack.send_cmd(G,speed_y)
                    else:
                        data_pack.send_cmd(B,abs(speed_y))
                    flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
            else:                                                         #准备就绪，进入8区
                data_pack.send_cmd(G,15)
        if time_flag == 1:
            num_stop += 1
            if num_stop >= 120 :                                  #100次差不多5秒钟，降落
                data_pack.send_cmd(L,15)
                time.sleep(100)
                data_pack.send_cmd(L,15)
                time.sleep(100)
                data_pack.send_cmd(L,15)
                time.sleep(100)
                num_stop = 0
                data_pack.send_cmd(E,0)
      0
    • U

      @kidswong999 这个是task plus

      import sensor, image, time, pyb, struct, math
import pid, data_pack



def compareBlob(blob1, blob2):                                    #比较两个色块大小的函数
    tmp = blob1.pixels() - blob2.pixels()
    if tmp == 0:
        return 0
    elif tmp > 0:
        return 1
    else:
        return -1

def task_2017_2():
    threshold_01 = (0,55)                                            #目标色块的灰度值参数范围
    number_period = 0
    pid_x = pid.PID(80,0.5,0,0,30)                                   #x轴方向的pid控制，pid参数要自己调
    pid_y = pid.PID(60,0.5,0,0,30)                                   #y轴方向的pid控制
    flag_x_y = 0
    flag_buzzer = 0
    stop_flag_car = 0
    clock = time.clock()
    Buzzer = pyb.Pin("P6", pyb.Pin.OUT_PP)
    uart1 = pyb.UART(1, 115200, timeout_char = 100)                  #打开串口1
    ##################各个字母所对应的ASCII值######################
    R = ord('R')
    L = ord('L')
    S = ord('S')
    B = ord('B')
    G = ord('G')
    E = ord('E')
    ###########################################################
    Buzzer.value(1)
    time.sleep(400)
    Buzzer.value(0)
    time.sleep(400)
    Buzzer.value(1)
    time.sleep(400)
    Buzzer.value(0)
    time.sleep(400)
    Buzzer.value(1)
    time.sleep(400)
    Buzzer.value(0)
    time.sleep(400)
    Buzzer.value(1)
    time.sleep(400)
    Buzzer.value(0)
    while(True):
        #print("the task number is 1 now!")
        clock.tick()
        number_period += 1
        if number_period >= 60 :
            number_period = 0
            if stop_flag_car != S:
                stop_flag_car = uart1.readchar()
        if stop_flag_car == S:
            if flag_buzzer == 0:
                data_pack.send_cmd(E,0)
                Buzzer.value(1)
                time.sleep(1000)
                Buzzer.value(0)
                flag_buzzer = 1
            #time.sleep(1000)
           # print("landing start!")
            #print("stop_flag_car : %s" %stop_flag_car)
           # data_pack.send_cmd(S,0)
        #print("stop_flag_car : %s" %stop_flag_car)
        #continue
        img = sensor.snapshot().lens_corr(1.8)
        blobs = img.find_blobs([threshold_01],
            pixels_threshold=100, merge=True)                         #寻找目标色块，低于150像素的视为噪声
        img.binary([threshold_01], invert = True)                     #二值化处理
        if blobs:                                                     #如果识别到目标色块
            #print(blobs)                                             #在终端打印出blobs的信息
            bigBlob = blobs[0]                                        #将第一个色块赋值给最大色块
            for blob_temp in blobs:                                   #此循环找出最大色块，进一步滤除噪声
                if compareBlob(bigBlob, blob_temp) == -1:
                    bigBlob = blob_temp
            img.draw_rectangle(bigBlob[0:4])                          #画个矩形框标出色块所在区域
            img.draw_cross(bigBlob[5], bigBlob[6])                    #画个十字架标出色块所在区域的中心点
            if flag_x_y == 0 :                                        #调节x与y方向的切换标志
                speed_x = pid_x.IncPIDCalc(bigBlob.cx())
               # print("speed_x: %f" %speed_x)
                if speed_x > 0:                                       #说明目标当前x值偏小，无人机偏右，需要向左调整
                    data_pack.send_cmd(L,speed_x)
                else:
                    data_pack.send_cmd(R,abs(speed_x))
                flag_x_y = 1                                          #标志位置1，表示下次循环调整y轴方向
            else :
                speed_y = pid_y.IncPIDCalc(bigBlob.cy())
                #print("speed_y: %f" %speed_y)
                if speed_y >= 0:                                      #说明目标当前y值偏小，无人机偏后，需要向前调整
                    data_pack.send_cmd(G,speed_y)
                else:
                    data_pack.send_cmd(B,abs(speed_y))
                flag_x_y = 0                                          #标志位置0，表示下次循环调整x轴方向
        else:
            data_pack.send_cmd(S,0)                                #没有检测到目标色块，这里让无人机原地罚站
      0
    • U

      @kidswong999 这个是pid

      import sensor, image, time, math, struct ,pyb,utime
class PID:
    def __init__(self, SetPoint,Proportion,Integral,Derivative,Limit):
        # WARNING: Don't use PA4-X5 or PA5-X6 as echo pin without a 1k resistor
        self.SetPoint   = SetPoint      #设定值
        self.Proportion = Proportion    #P
        self.Integral   = Integral      #I
        self.Derivative = Derivative    #D
        self.Limit      = Limit         #限幅
        self.LastError  = 0             #前1次误差值
        self.PrevError  = 0             #前2次误差值
        self.iError     = 0             #当前误差
        self.iIncpid    = 0             #增量误差
        self.Uk         = 0             #输出返回\

    def IncPIDCalc(self, NextPoint):
          # 当前误差
          self.iError = self.SetPoint - NextPoint
          # 增量误差
          self.iIncpid = (self.Proportion * (self.iError - self.LastError)+ self.Integral *
                         self.iError + self.Derivative * (self.iError - 2 * self.LastError +
                         self.PrevError))
          #存储误差，用于下次计算
          self.PrevError = self.LastError
          self.LastError = self.iError

          self.Uk += self.iIncpid
          self.Uk = self.Limit_Amplitude(self.Uk)
         # print("NextPoint : %f" % NextPoint)
         # print("Uk : %f" % self.Uk)
          return self.Uk

    def Limit_Amplitude(self,num):
        if num > self.Limit :
            return self.Limit
        elif num < -self.Limit:
            return -self.Limit
        else:
            return num
      0
    • U

      @kidswong999 这个是data_pack

      import sensor, image, time

def get_line_k(x1,x2,y1,y2):
    det_x = x2 - x1
    det_y = y2 - y1
    if det_x == 0:                                                #考虑斜率无穷大的情况
        det_x = 1
    return (det_y/det_x)

def get_line_b(x1,x2,y1,y2):
    k = get_line_k(x1,x2,y1,y2)
    return (y1-(k*x1))

def get_line_cross_x(k1,k2,b1,b2):
    det_k = k1 - k2
    if det_k == 0:
        return -1
    else:
        return (b2 - b1)/(k1 - k2)

def get_line_cross_y(k1,k2,b1,b2):
    det_k = k1 - k2
    if det_k == 0:
        return -1
    else:
        return (b1*k2 - k1*b2)/(k2 - k1)

def get_cross_dot(lines):
    cross_dot = [0,0]
    x1 = lines[0].x1()
    x2 = lines[0].x2()
    x3 = lines[1].x1()
    x4 = lines[1].x2()
    y1 = lines[0].y1()
    y2 = lines[0].y2()
    y3 = lines[1].y1()
    y4 = lines[1].y2()
    k1 = get_line_k(x1,x2,y1,y2)
    k2 = get_line_k(x3,x4,y3,y4)
    b1 = get_line_b(x1,x2,y1,y2)
    b2 = get_line_b(x3,x4,y3,y4)
    cross_dot[0] = get_line_cross_x(k1,k2,b1,b2)
    cross_dot[1] = get_line_cross_y(k1,k2,b1,b2)
    return cross_dot
      0
      U
       1 条回复
    • U

      @ugli 写错了，这个是line_calcu.py

      0
    • U

      @kidswong999 这个才是data_pack

      import time, pyb, struct

C = ord('C')
F = ord('F')
G = ord('G')
B = ord('B')
R = ord('R')
L = ord('L')
D = ord('D')
U = ord('U')
E = ord('E')
S = ord('S')
H = ord('H')
uart3 = pyb.UART(3, 500000, timeout_char = 1000)
green_led = pyb.LED(2)

def send_89(direct,velcity):
    '''
    功能字为0x89，控制前进(后退)、左(右)、上升(下降)速度大小
    speed字段必须正
    '''
    s = 0xAA+0x8C+direct+(int(velcity/256))+(int(velcity%256))
    s = int(s % 256)
    temp_flow = struct.pack("<BBBBBhB",
                   0x00,
                   0xAA,
                   0x89,
                   03,
                   direct,
                   int(velcity),
                   s)
    uart3.write(temp_flow)

def send_98(direct,velcity):
    '''
    功能字为0x98，控制顺(逆)时针转动速度大小
    speed字段正负一样
    '''
    s = 0xAA+0x9B+direct+(int(velcity/256))+(int(velcity%256))
    s = int(s % 256)
    temp_flow = struct.pack("<BBBBBhB",
                   0x00,
                   0xAA,
                   0x98,
                   03,
                   direct,
                   velcity,
                   s)
    uart3.write(temp_flow)

def send_cmd(direct,velcity):
    if direct == C or direct == F:
        send_98(direct,velcity)
        time.sleep(3)
    else:
        send_89(direct,velcity)
        if direct == S:
            time.sleep(3)
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    • U

      @kidswong999 这个是car_calcu.py

      import pyb,struct
uart = pyb.UART(3,115200, timeout_char = 1000)
def car_run(x1,x2):
    if x1 > 0 :
        right_value = x1
    else :
        right_value = x1
    if x2 > 0 :
        left_value = x2
    else :
        left_value = x2
    send_rpm(right_value,left_value)
def send_rpm(right_value,left_value):
    left_rpm = int(left_value * 27)
    right_rpm = int(right_value * 27)
    left_rpm_low = left_rpm & 0x00ff
    left_rpm_high = left_rpm >> 8
    right_rpm_low = right_rpm & 0x00ff
    right_rpm_high = right_rpm >> 8
    xor = 0x6^0x3^0x4^(left_rpm_low)^(left_rpm_high)^(right_rpm_low)^(right_rpm_high)
    xor = (int(xor%256))
    temp_flow = struct.pack("<BBBBBhhB",
                   0xaa,
                   0x55,
                   0x6,
                   0x3,
                   0x4,
                   left_rpm,
                   right_rpm,
                   xor)
    ret = uart.write(temp_flow)
    print(left_rpm/27, right_rpm/27)
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    • U

      @kidswong999 实在抱歉，大佬，是我不熟悉这个论坛的问题，没有注意到插入代码，直接复制到了发言内容里，缩进被直接去掉了。
      剩下最后一个包里的key_point.py了，很简短的一句：

      import sensor, image, time

      再次抱歉，浪费了大佬宝贵的时间，但还是恬不知耻的想要请大佬赐教。万胜感激！

      0

    • main.py是哪个啊？
      OpenMV硬件的具体型号是什么？

      0
      U
       1 条回复