找到原因了 把列表里的“bottle”这种的判断删去就没事了

if predictions_list[i][0]=='bottle' and float(predictions_list[i][1])>0.8:
就我这句错了 说我越界了 要怎么写才是对的呢

import sensor, image, time, os, tf, time
from pyb import Servo
sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
sensor.skip_frames(time=2000)          # Let the camera adjust.

net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]
s1 = Servo(1) # P7连接舵机的PWM线
s2 = Servo(2) # P8
clock = time.clock()
while(True):
    clock.tick()
    img = sensor.snapshot()
    # default settings just do one detection... change them to search the image...
    for obj in tf.classify(net, 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())
        # This combines the labels and confidence values into a list of tuples
        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 predictions_list[i][0]=='battery' and predictions_list[i][1]>0.8:             #在什么概率下 进行不同的动作
                print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
                for i in range(-180,-90):
                    s1.angle(0)
                    s2.angle(i)
                    time.sleep(10)
            if predictions_list[i][0]=='bottle' and float(predictions_list[i][1])>0.8:
                print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
                for i in range(-180,0):
                    s1.angle(90)
                    s2.angle(i)
                    time.sleep(10)
            if predictions_list[i][0]=='can' and float(predictions_list[i][1])>0.8:
                print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
                for i in range(-180,90):
                    s1.angle(180)
                    s2.angle(i)
                    time.sleep(10)
            if predictions_list[i][0]=='cigarette' and float(predictions_list[i][1])>0.8:
                print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
                for i in range(-180,180):![0_1607955907770_f599f1802baf269f4b0010f9c928f49.jpg](https://fcdn.singtown.com/4c0a1418-650a-4853-9f62-6284660f5ecd.jpg) 
                    s1.angle(270)
                    s2.angle(i)
                    time.sleep(10)

import sensor, time, image, pyb, machine
from pyb import UART

sensor.reset()
sensor.set_contrast(3)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.HQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)

uart = UART(3, 19200, timeout_char = 1000)
face_cascade = image.HaarCascade("frontalface", stages=25)
print(face_cascade)

# FPS clock
clock = time.clock()


while (True):
    clock.tick()
    if uart.any():
        a = uart.readline()
        print (a)
        start = pyb.millis()
        while a==b'1':
            img = sensor.snapshot()
            objects = img.find_features(face_cascade, threshold=0.75, scale_factor=1.25)
            for r in objects:
                img.draw_rectangle(r)
                if r[1]>50:
                    print ('incorrect')
                elif r[1]<50:
                    print ('correct')
            if pyb.millis() - start>60000:
                 print ('failed')
                 break
            if objects:
                 print ('success')
                 break

我也想知道 顶上

我想单独循环几行代码一分钟 可以用什么函数写吗

@kidswong999 感谢！！！

@kidswong999 可以写个大概给我学习一下吗 不知道怎么用

我是想写 openmv识别到人脸后记录开始时间 如果1分钟内识别不到人脸 就记为结束时间 完了结束时间-开始时间=时间段 然后我想通过串口助手发送这个时间段给别的单片机