@kidswong999 如果我想把识别的结果发送到去其他单片机用串口怎么做，希望提供相关代码参考

通过语音指令控制0号舵机转90度1号舵机转180度

想通过语音指令控制舵机工作，不知道用什么型号，不知道具体怎么加入.

@kidswong999 为什么显示未定义

为什么报错，求解答

@kidswong999 为什么我的显示伺服未定义，我需要怎么办

请在这里粘贴代码import sensor, image, time
import network, usocket, ujson
from servo import Servos

s1 = Servo(1) # P7
s2 = Servo(2) # P8

# 初始化摄像头和PWM输出口
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)

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) + ')')


s1.angle(0)
clock = time.clock()

shuji_index = 0

while(True):
    img = sensor.snapshot()
    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())
        if obj.output()[shuji_index] > 0.6:
            s1.angle(180)
        else:
            s1.angle(0)
        time.sleep(1)
这个代码为什么报错，怎么解决希望提供代码支持。
项目:垃圾分拣edge impulse训练的模型用OPEN MV H4 plus 识别，然后控制舵机进行旋转90°，用的是官方配的舵机和舵机扩展版，一共需要两个舵机![0_1680437091605_123456.jpg](https://fcdn.singtown.com/fcc94313-d10a-4539-8bf4-712b1af1b3b3.jpg) 

@kidswong999 edge lmpulse建立的模型是通过你给的代码直接到进去的吗，没看到模型导入的代码，只看到了标签的

@kidswong999 只需要改标签对吧，其他的不用动

@kidswong999 在 edge lmpulse建立的模型部署到OPEN MV H7 PLUS信号传递问题 中说：

s1 = Servo(1) # P7
s2 = Servo(2) # P8
你这个是定义到open mv 上的吗。还是说舵机扩展版上的