edge impulse 建立模型，怎么把识别到的信号转化为控制舵机，

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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_1680006149382_回答.png

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