Raspberry Pi

# Basic Python script to blink an LED
import RPi.GPIO as GPIO
import time

LED_PIN = 18
GPIO.setmode(GPIO.BCM)
GPIO.setup(LED_PIN, GPIO.OUT)

try:
    while True:
        GPIO.output(LED_PIN, GPIO.HIGH)
        time.sleep(1)
        GPIO.output(LED_PIN, GPIO.LOW)
        time.sleep(1)
except KeyboardInterrupt:
    GPIO.cleanup()

# Install Home Assistant
sudo apt update
sudo apt install -y python3 python3-dev python3-venv python3-pip libffi-dev libssl-dev

# Create virtual environment
python3 -m venv homeassistant
cd homeassistant
source bin/activate

# Install Home Assistant Core
python3 -m pip install wheel
pip install homeassistant

# Start Home Assistant
hass

# On manager node
docker swarm init --advertise-addr <MANAGER_IP>

# On worker nodes
docker swarm join --token <TOKEN> <MANAGER_IP>:2377

# Deploy a service
docker service create --name nginx --replicas 3 -p 80:80 nginx

# Install dependencies
sudo apt install libatlas-base-dev libopenjp2-7 libtiff5
pip3 install opencv-python numpy tflite-runtime

# Sample object detection code
import cv2
import tflite_runtime.interpreter as tflite

# Load TFLite model
interpreter = tflite.Interpreter(model_path="model.tflite")
interpreter.allocate_tensors()

# Process camera input
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    # Preprocess and run inference
    input_data = preprocess(frame)
    interpreter.set_tensor(input_index, input_data)
    interpreter.invoke()
    output_data = interpreter.get_tensor(output_index)
    # Draw detections
    draw_boxes(frame, output_data)
    cv2.imshow('Object Detection', frame)