编写一段openmv+esp8266进行行人识别的代码

好的，下面是一段openmv esp8266进行行人识别的代码：

import sensor, image, time, network, usocket, sys
import sensor, image, time

SSID='你的WiFi名称' #WiFi名称
KEY='你的WiFi密码'  #WiFi密码
net = network.WINC(mode=network.WINC.MODE_STA)
wifi = network.WLAN(network.STA_IF)

# 连接WiFi
wifi.active(True)
wifi.connect(SSID, KEY)
while wifi.isconnected() == False:
    pass

# 设置sensor
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
clock = time.clock()

# 设置websocket链接, 获取边界框JSON
def get_boundary(connection):
    is_recv = False
    content = ""
    while True:
        data = connection.recv(1024)
        if data:
            # 开始接收数据
            is_recv = True
            content += str(data, encoding="utf-8")
        elif is_recv:
            # 数据接收完毕
            return content

# 设置websocket链接, 发送图片数据
def send_pic(connection, payload):
    # 发送至CNN数据预处理
    jsonStr = str(payload)
    # 边界框JSON
    boundary = "\r\n--" + "openmv_firmware" + "\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n"+ jsonStr + "\r\n--" + "openmv_firmware" + "\r\nContent-Disposition: form-data; name=\"image\"; "
    connection.send(bytes(boundary, 'utf8'))

    # 传输图像数据
    img = sensor.snapshot()
    img_arr = image.image_to_jpeg(img)
    connection.send(bytes("Content-Type:image/jpeg \r\n\r\n", 'utf8'))
    connection.send(img_arr)

    # 结束符
    connection.send(bytes("\r\n--" + "openmv_firmware" + "--\r\n", 'utf8'))

while True:
    try:
        addr = usocket.getaddrinfo("192.168.0.100", 12345)[0][-1]
        s = usocket.socket()
        s.connect(addr)
        print("已链接：", addr)
        print("开始识别！")

        while True:
            clock.tick()
            frame = sensor.snapshot()
            # 调整图像亮度和对比度，可以提高行人识别成功率
            frame.contrast(1.5)
            frame.brightness(0)
            # 识别行人
            objs = frame.find_features(image.HAAR_LBP_GRADIENTS, 0.5, scale_factor=1.2, stride=16, \
                                       roi=(10, 10, frame.width() - 20, frame.height() - 20))
            for obj in objs:
                # 获取边角坐标
                x, y, w, h = obj
                payload = {"x_tl": x, "y_tl": y, "x_br": x + w, "y_br": y + h}
                
                # 连接websocket
                send_pic(s, payload)
                
                # 获取HTTP边界框JSON
                response = get_boundary(s)
                print(response)

    except Exception as e:
        # 如果出现异常，自动重连
        print("遇到异常，开始重连...")
        print(e)
        time.sleep(2)

希望对你有所帮助！