----------- AP11 Results ------------ Pedestrian AP11@0.50, 0.50, 0.50: bbox AP11:0.5897, 0.4874, 0.5217 bev AP11:0.1280, 0.1280, 0.1280 3d AP11:0.1280, 0.1280, 0.1280 aos AP11:0.29, 0.25, 0.25 Pedestrian AP11@0.50, 0.25, 0.25: bbox AP11:0.5897, 0.4874, 0.5217 bev AP11:1.0101, 1.0101, 1.0101 3d AP11:1.0101, 1.0101, 1.0101 aos AP11:0.29, 0.25, 0.25 Cyclist AP11@0.50, 0.50, 0.50: bbox AP11:0.0343, 0.0407, 0.0407 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 aos AP11:0.00, 0.01, 0.01 Cyclist AP11@0.50, 0.25, 0.25: bbox AP11:0.0343, 0.0407, 0.0407 bev AP11:0.0125, 0.0145, 0.0145 3d AP11:0.0125, 0.0145, 0.0145 aos AP11:0.00, 0.01, 0.01 Car AP11@0.70, 0.70, 0.70: bbox AP11:0.2165, 4.5455, 4.5455 bev AP11:0.0364, 0.0417, 0.0573 3d AP11:0.0429, 0.0364, 0.0403 aos AP11:0.08, 0.13, 0.17 Car AP11@0.70, 0.50, 0.50: bbox AP11:0.2165, 4.5455, 4.5455 bev AP11:0.7576, 4.5455, 4.5455 3d AP11:0.7576, 4.5455, 4.5455 aos AP11:0.08, 0.13, 0.17 Overall AP11@easy, moderate, hard: bbox AP11:0.2801, 1.6912, 1.7026 bev AP11:0.0548, 0.0566, 0.0618 3d AP11:0.0570, 0.0548, 0.0561 aos AP11:0.12, 0.13, 0.14 ----------- AP40 Results ------------ Pedestrian AP40@0.50, 0.50, 0.50: bbox AP40:0.3140, 0.2965, 0.3301 bev AP40:0.0157, 0.0166, 0.0179 3d AP40:0.0135, 0.0137, 0.0137 aos AP40:0.15, 0.15, 0.16 Pedestrian AP40@0.50, 0.25, 0.25: bbox AP40:0.3140, 0.2965, 0.3301 bev AP40:0.2281, 0.2747, 0.1830 3d AP40:0.2163, 0.2377, 0.1660 aos AP40:0.15, 0.15, 0.16 Cyclist AP40@0.50, 0.50, 0.50: bbox AP40:0.0089, 0.0112, 0.0112 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 aos AP40:0.00, 0.00, 0.00 Cyclist AP40@0.50, 0.25, 0.25: bbox AP40:0.0089, 0.0112, 0.0112 bev AP40:0.0034, 0.0040, 0.0040 3d AP40:0.0034, 0.0040, 0.0040 aos AP40:0.00, 0.00, 0.00 Car AP40@0.70, 0.70, 0.70: bbox AP40:0.1004, 0.0867, 0.1244 bev AP40:0.0093, 0.0115, 0.0158 3d AP40:0.0118, 0.0079, 0.0111 aos AP40:0.06, 0.05, 0.07 Car AP40@0.70, 0.50, 0.50: bbox AP40:0.1004, 0.0867, 0.1244 bev AP40:0.1653, 0.1130, 0.1428 3d AP40:0.1344, 0.0911, 0.1118 aos AP40:0.06, 0.05, 0.07 Overall AP40@easy, moderate, hard: bbox AP40:0.1411, 0.1315, 0.1552 bev AP40:0.0083, 0.0094, 0.0112 3d AP40:0.0084, 0.0072, 0.0083 aos AP40:0.07, 0.07, 0.给我解释一下这些参数

这些参数是用于评估一个目标检测模型在不同类别（如行人、自行车、汽车等）上的性能表现。其中，AP11和AP40代表了不同IoU阈值下的平均精度（Average Precision），分别对应0.50和0.75的阈值。bbox、bev、3d和aos则代表了不同的评估指标，分别为2D边框精度、鸟瞰图精度、3D边框精度和方向精度。而最后的easy、moderate和hard则代表了不同难度级别的评估结果。这些参数可以帮助我们了解一个目标检测模型在不同类别和不同难度级别下的性能表现，从而更好地优化和改进模型。

相关问题

离线安装docker和docker-compose脚本

digitalWrite(LED_SOUTH_YELLOW, HIGH);
delay(500);
digitalWrite(LED_SOUTH_YELLOW, LOW);
delay(500);
以下是离线安装 Docker 和 Docker Compose 的脚本：

1. 离线安装 Docker

# 下载      }

      // 熄灭黄灯，点亮红灯
      digitalWrite(LED_SOUTH_YELLOW, LOW);
      digitalWrite(LED_SOUTH Docker 安装包
wget https://download.docker.com/linux/static/stable/x86_64/docker-19.03.13.tgz

_RED, HIGH);

      // 倒计时重置为10秒
      countdownTime = 10;

      // 切换到东西# 解压安装包
tar -xvf docker-19.03.13.tgz

# 将 Docker 可执行文件移动方向通行
      isSouthNorth = false;
      isEastWest = true;
    }
  }

  // 倒计时每秒减1
  delay(1000);
  countdownTime--;

  // 如果按下了按键，修改倒计时时间、到 /usr/bin 目录下
sudo mv docker/* /usr/bin/

# 添加 Docker 用户组
sudo groupadd docker

# 将人行道控制或紧急状态控制
  if (digitalRead(BUTTON_EAST_WEST) == LOW) {
   当前用户添加到 Docker 用户组
sudo usermod -aG docker $USER

# 重启 Docker 服务
sudo systemctl restart // 修改倒计时时间
    countdownTime = 20;
  }
  if (digitalRead(BUTTON_PEDESTRIAN) == docker

2. 离线安装 Docker Compose

# 下载 Docker Compose 安装包
wget https LOW) {
    // 控制人行道通行
    isPedestrian = true;
  }
  if (digitalRead(B://github.com/docker/compose/releases/download/1.27.4/docker-compose-Linux-x86_64

# 将 Docker Compose 移UTTON_SOUTH_NORTH) == LOW) {
    // 控制紧急状态
    digitalWrite(LED_EAST_RED, HIGH);
    digitalWrite动到 /usr/local/bin 目录下并改名为 docker-compose
sudo mv docker-compose-Linux-x86_64 /usr/local(LED_SOUTH_RED, HIGH);
    delay(1000);
    digitalWrite(LED_EAST_RED, LOW);
    digitalWrite(LED_SOUTH_RED,/bin/docker-compose

# 添加可执行权限
sudo chmod +x /usr/local/bin/docker-compose

注意：以上脚本中 LOW);
}
}

void displayCountdown(int seconds) {
LedControl lc = LedControl(MATRIX_DIN, MATRIX_CLK, MATRIX的 Docker 和 Docker Compose 版本号可能需要根据实际情况进行修改。另外，如果你的服务器没有网络_CS, 1);

if (seconds >= 10) {
lc.setDigit(0, 0, seconds / 10,连接，需要手动下载 Docker 和 Docker Compose 安装包，并将它们移动到服务器上进行安装。

观察者模式---红绿信号灯

观察者模式是一种设计模式，它定义了一种一对多的依赖关系，让多个观察者对象同时监听某一个主题对象，当主题对象发生变化时，它的所有观察者都会收到通知并更新。红绿信号灯是观察者模式的一个经典例子，其中红绿信号灯是被观察者，而行人和车辆是观察者。当红绿信号灯的状态发生变化时，例如从红灯变为绿灯，它会通知所有的观察者，行人和车辆就会做出相应的反应，例如行人开始过马路，车辆开始行驶。

下面是一个简单的Python实现红绿信号灯的观察者模式：

class Observer:
    def update(self, state):
        pass

class Subject:
    def __init__(self):
        self.observers = []

    def attach(self, observer):
        self.observers.append(observer)

    def detach(self, observer):
        self.observers.remove(observer)

    def notify(self, state):
        for observer in self.observers:
            observer.update(state)

class TrafficLight(Subject):
    def __init__(self):
        super().__init__()
        self.state = 'red'

    def change_state(self, state):
        self.state = state
        self.notify(self.state)

class Pedestrian(Observer):
    def update(self, state):
        if state == 'green':
            print('行人开始过马路')

class Car(Observer):
    def update(self, state):
        if state == 'green':
            print('车辆开始行驶')

# 测试代码
light = TrafficLight()
pedestrian = Pedestrian()
car = Car()
light.attach(pedestrian)
light.attach(car)
light.change_state('green')