@kidswong999 我这边是这样的，我连接了两个电机，正常是电机1先旋转，然后电机2旋转之后转回原位，然后电机1旋转回原位，但是第二次识别之后，电机2先旋转了，并且角度大于我设置的角度。

@kidswong999 我在每一个if语句的最后都加了print，发现每一次进入的if都是正确的，请问还可以在哪个位置去加print去检测运行到哪了？

# Edge Impulse - OpenMV Image Classification Example

import sensor, image, time, os, tf, pyb,math
from pyb import UART
import json

pinADir0 = pyb.Pin('P3', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinADir1 = pyb.Pin('P2', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinBDir0 = pyb.Pin('P1', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinBDir1 = pyb.Pin('P0', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)

pinADir0.value(0)
pinADir1.value(1)

pinBDir0.value(0)
pinBDir1.value(1)


tim = pyb.Timer(4, freq=1000)

chA = tim.channel(1, pyb.Timer.PWM, pin=pyb.Pin("P7"))
chB = tim.channel(2, pyb.Timer.PWM, pin=pyb.Pin("P8"))

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")]
clock = time.clock()


while(True):
    clock.tick()
    img = sensor.snapshot()
    uart1=UART(3,9600)

    # 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
        list1=list(labels)
        list2=list(obj.output())
        position=list2.index(max(list2))
        print(list1[position])

        output_str=json.dumps(list1[position]) #方式2
        print(output_str[1:2])
        
        
    if list1[position]=='y' or list1[position]=='k':
        chA.pulse_width_percent(100)
        pyb.delay(2500)#电机1正转90度
        pinADir0.value(0)
        pinADir1.value(0)#电机1停转
        pyb.delay(1500)
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2正转90度
        pinBDir0.value(1)
        pyb.delay(4000)
        pinBDir1.value(0)#电机2反向，停4000ms
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2反转90度
        pinBDir0.value(0)
        pinBDir1.value(0)#电机2停转
        pyb.delay(2500)
        pinADir0.value(1)
        pinADir1.value(0)#电机1反向，停2500ms
        chA.pulse_width_percent(100)
        pyb.delay(2500)#电机1反转90度
        pinADir0.value(0)
        pinADir1.value(0)#电机1停转
        
    elif list1[position]=='s' or list1[position]=='g':
        chA.pulse_width_percent(100)
        pyb.delay(5000)#电机1正转90度
        pinADir0.value(0)
        pinADir1.value(0)#电机1停转
        pyb.delay(1500)
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2正转90度
        pinBDir0.value(1)
        pyb.delay(4000)
        pinBDir1.value(0)#电机2反向，停5000ms
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2反转90度
        pinBDir0.value(0)
        pinBDir1.value(0)#电机2停转
        pyb.delay(2500)
        pinADir0.value(1)
        pinADir1.value(0)#电机1反向，停2500ms
        chA.pulse_width_percent(100)
        pyb.delay(5000)#电机1反转90度
        pinADir0.value(0)
    
    elif list1[position]=='d':
        chA.pulse_width_percent(100)
        pyb.delay(7500)#电机1正转90度
        pinADir0.value(0)
        pinADir1.value(0)#电机1停转
        pyb.delay(1500)
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2正转90度
        pinBDir0.value(1)
        pyb.delay(4000)
        pinBDir1.value(0)#电机2反向，停5000ms
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2反转90度
        pinBDir0.value(0)
        pinBDir1.value(0)#电机2停转
        pyb.delay(2500)
        pinADir0.value(1)
        pinADir1.value(0)#电机1反向，停2500ms
        chA.pulse_width_percent(100)
        pyb.delay(7500)#电机1反转90度
        pinADir0.value(0)
        
    elif list1[position]=='z' or list1[position]=='t':
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2正转90度
        pinBDir0.value(1)
        pyb.delay(4000)
        pinBDir1.value(0)#电机2反向，停5000ms
        chB.pulse_width_percent(100)
        pyb.delay(360)#电机2反转90度
        pinBDir0.value(0)
        pinBDir1.value(0)#电机2停转
        
    elif list1[position]=='n':
        chA.pulse_width_percent(0)
        chB.pulse_width_percent(0)
        
        
        uart1.write(output_str[1:2])
        time.sleep_ms(10000)





        #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]))

    #print(clock.fps(), "fps")

import sensor, image, time, os, tf, pyb
from pyb import UART
import json

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")]
clock = time.clock()

uart1=UART(3,19200)

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
        list1=list(labels)
        list2=list(obj.output())
        position=list2.index(max(list2))
        print(list1[position])
        
        
        output_str=json.dumps(list1[position]) #方式2
        print(output_str)
        print(output_str[1:2])
        print(hex(ord(output_str[1:2])))
        data=bytearray(hex(ord(output_str[1:2])))


        uart1.write(data)
        time.sleep_ms(2500)

以及怎么控制电机转动一定的角度？

import sensor, image, time, os, tf，pyb
from pyb import UART

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.


pinADir0 = pyb.Pin('P3', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinADir1 = pyb.Pin('P2', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinBDir0 = pyb.Pin('P1', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)
pinBDir1 = pyb.Pin('P0', pyb.Pin.OUT_PP, pyb.Pin.PULL_NONE)

net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]
clock = time.clock()

pinADir0.value(0)
pinADir1.value(1)

pinBDir0.value(0)
pinBDir1.value(1)

tim = pyb.Timer(4, freq=1000)

chA = tim.channel(1, pyb.Timer.PWM, pin=pyb.Pin("P7"))
chB = tim.channel(2, pyb.Timer.PWM, pin=pyb.Pin("P8"))

tim = pyb.Timer(4, freq=1000)

chA = tim.channel(1, pyb.Timer.PWM, pin=pyb.Pin("P7"))
chB = tim.channel(2, pyb.Timer.PWM, pin=pyb.Pin("P8"))

uart1=UART(3,115200)

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
        list1=list(labels)
        list2=list(obj.output())
        position=list2.index(max(list2))
        print(list1[position])

        if list1[position]=dianchi
        pyb.delay(100)
        chA.pulse_width_percent(20)
        pyb.delay(100)
        chA.pulse_width_percent(0)
        chB.pulse_width_percent(20)
        pyb.delay(100)
        chB.pulse_width_percent(0)


        
        
        uart.write(position)
        time.sleep_ms(1000)
请在这里粘贴代码