请问怎么设置每10s清除一下全局变量的数据，也就是我的List_score01，我使用定时器会报错

import sensor, image, time, os, tf, uos, gc, lcd , cpufreq
from pyb import UART,LED,Timer

uart = UART(3, 115200, timeout_char=1000)
u_start=bytearray([0x2C,0x12])
u_over=bytearray([0x5B])
LED(2).on()

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)     # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
#sensor.skip_frames(time=2000)          # Let the camera adjust.
lcd.init()
net = None
labels = None
List_score01 = [0]*7
flag = 0
try:
    # load the model, alloc the model file on the heap if we have at least 64K free after loading
    net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
    print(e)
    raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

try:
    labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
    raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

clock = time.clock()
flag_stop = 0
number = 1

#label = "in","line","out","stop","wandao1","wandao2","word"
#label = "0" ,"1"   ,"2"  ,"3"   ,"4"      ,"5"      ,"6"

#def test(timer):
    #global List_score01
    #List_score01 = [0]*7
    #print("11111111")

#tim = Timer(2, freq=1)      # 使用定时器2创建定时器对象-以1Hz触发
#tim.callback(test)          # 将回调设置为tick函数


def problem_1(predictions_list):
    global flag_stop
    global List_score01
    uart.write(u_start)
    uart.write(bytearray([3]))
    uart.write(u_over)
    print("problem_1 was OK")
    if(predictions_list[3][1]>=0.4): #'stop'
        print(List_score01)
        flag_stop +=1
        LED(3).on()
        List_score01 = [0]*7
        #print(flag_stop)
        while flag_stop >=2:
            number = 1
            while number < 5:  #发送"5"
                uart.write(u_start)
                uart.write(bytearray([5]))
                uart.write(u_over)
                print(5)
                number +=1
                time.sleep_ms(100)
            flag_stop=0
            number = 1
            List_score01 = [0]*7
        time.sleep_ms(1000)
        LED(3).off()


def problem_3(predictions_list):
    number3=1
    global List_score01
    uart.write(u_start)
    uart.write(bytearray([3]))
    uart.write(u_over)
    if(predictions_list[0][1]>=0.4): #'in'
        List_score01[int(predictions_list[0][0])] += 1
        #print(List_score01)
        if List_score01[0]>1:
            while number3 < 5:  #发送10个"2"
                uart.write(u_start)
                uart.write(bytearray([2]))
                uart.write(u_over)
                number3 +=1
                time.sleep_ms(100)
            number3 = 1  #number清除再发送"3"
            while number3 < 10:  #发送"3"
                uart.write(u_start)
                uart.write(bytearray([3]))
                uart.write(u_over)
                #print(3)
                number3 +=1
                time.sleep_ms(100)
            List_score01 = [0]*7    #退出初始化循环


while(True):
    clock.tick()
    cpufreq.set_frequency(480)
    img = sensor.snapshot().lens_corr(strength = 1.6, zoom = 1.0)
    for obj in net.classify(img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
        img.draw_rectangle(obj.rect())
        predictions_list = list(zip(labels, obj.output()))
        #for i in range(len(predictions_list)):
            #print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
            
    if uart.any():   ##收到单片机发送来的数据
        a=uart.readline().decode()
        if(a[0]=='1'):
            flag = 1
        if(a[0]=='3'):
            flag = 3

    if flag == 1:
        problem_1(predictions_list)
        
    if flag == 3:
        problem_3(predictions_list)

    print(clock.fps(), "fps")
    lcd.display(img)

import sensor, image, time, os, tf, uos, gc, lcd , cpufreq
from pyb import UART,LED,Timer

uart = UART(3, 115200, timeout_char=1000)
u_start=bytearray([0x2C,0x12])
u_over=bytearray([0x5B])
LED(2).on()

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)     # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
#sensor.skip_frames(time=2000)          # Let the camera adjust.
lcd.init()
net = None
labels = None
List_score01 = [0]*7

#global List_score01

try:
    # load the model, alloc the model file on the heap if we have at least 64K free after loading
    net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
    print(e)
    raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

try:
    labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
    raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

clock = time.clock()

#label = "in","line","out","stop","wandao1","wandao2","word"
#label = "0" ,"1"   ,"2"  ,"3"   ,"4"      ,"5"      ,"6"



while(True):
    #flag=3
    
    number = 1
    clock.tick()
    cpufreq.set_frequency(480)
    img = sensor.snapshot().lens_corr(strength = 1.6, zoom = 1.0)
    global List_score01
    for obj in net.classify(img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
        #
        img.draw_rectangle(obj.rect())
        #print(obj.output())
        predictions_list = list(zip(labels, obj.output()))
        #print(predictions_list)
        #print(predictions_list[0][1])
        print(List_score01)

        if(predictions_list[0][1]>=0.7): #'in'
            List_score01[int(predictions_list[0][0])] += 1
            print(List_score01)
            if List_score01[0]>1:
                while number < 5:  #发送10个"2"
                    uart.write(u_start)
                    uart.write(bytearray([2]))
                    uart.write(u_over)
                    #img.draw_string(0, 0, "flag:%s" %(flag), scale=2, color=(255, 0, 0))
                    print(2)
                    number +=1
                    time.sleep_ms(100)


                number = 1  #number清除再发送"3"
                while number < 10:  #发送"3"
                    uart.write(u_start)
                    uart.write(bytearray([3]))
                    uart.write(u_over)
                    #img.draw_string(0, 0, "flag:%s" %(flag), scale=2, color=(255, 0, 0))
                    print(3)
                    number +=1
                    time.sleep_ms(100)
                List_score01 = [0]*7    #退出初始化循环



        if(predictions_list[3][1]>=0.9): #'stop'
            List_score01[int(predictions_list[3][0])] += 1
            #print(List_score01)
            if List_score01[3]>20:
                while number < 7:  #发送"2"
                    uart.write(u_start)
                    uart.write(bytearray([5]))
                    uart.write(u_over)
                    #img.draw_string(0, 0, "flag:%s" %(flag), scale=2, color=(255, 0, 0))
                    print(5)
                    number +=1
                    time.sleep_ms(100)
                List_score01 = [0]*7
        for i in range(len(predictions_list)):
            print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))


    #img.draw_string(10,10,str(flag),color=(0,0,255))
    uart_buf = bytearray([3])   
    uart.write(u_start)
    uart.write(uart_buf)
    uart.write(u_over)
    #print(clock.fps(), "fps")
    lcd.display(img)
    
    
def test(timer):
    global List_score01
    List_score01 = [0]*7
    print("11111111")

tim = Timer(4, freq=1)      # 使用定时器2创建定时器对象-以1Hz触发
tim.callback(test)          # 将回调设置为tick函数

主函数中global List_score01报错

那请问这个的判断应该怎么写，能稍微给一下思路嘛

我正在坐一个环形小车，每跑一圈都会经过一次停止线，我想在检测到第三次停止线的时候给单片机发送信号停止，但是我不会怎么每经过一次记圈数+1，因为目标是从远到近逐渐出现，如果累加的话一秒就会记很多次，中间也存在漏检，请问怎么解决这个问题

mport sensor, image, time, os, tf, uos, gc, lcd , cpufreq
from pyb import UART,LED

uart = UART(3, 115200, timeout_char=1000)
u_start=bytearray([0x2C,0x12])
u_over=bytearray([0x5B])
LED(2).on()

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)     # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
sensor.skip_frames(time=2000)          # Let the camera adjust.
lcd.init()
net = None
labels = None

try:
    # load the model, alloc the model file on the heap if we have at least 64K free after loading
    net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
    print(e)
    raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

try:
    labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
    raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

clock = time.clock()




while(True):
    flag=3
    clock.tick()
    cpufreq.set_frequency(480)
    img = sensor.snapshot().lens_corr(strength = 1.6, zoom = 1.0)

    for obj in net.classify(img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
        #print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
        img.draw_rectangle(obj.rect())

        predictions_list = list(zip(labels, obj.output()))
        #print(predictions_list[0][1])
        if(predictions_list[0][1]>=0.7):
            flag=2
        elif(predictions_list[3][1]>=0.95):
            flag=4

        else:
            flag=3
        #for i in range(len(predictions_list)):
            #print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))


    uart_buf = bytearray([flag])
    img.draw_string(10,10,str(flag),color=(0,0,255))
    uart.write(u_start)
    uart.write(uart_buf)
    uart.write(u_over)
    print(clock.fps(), "fps")
    lcd.display(img)

我通过神经网络进行目标分类，由于是高速移动状态，故误检率较高。且与单片机通信需要时间，我想在第一次检测到特征物体后，一直向单片机传输我需要给它的信息，例如0和1，因为存在误检。故传输信息可能像...0011101110100000...这样子，而我想要...0011111111111111100000....这样子