ajangrahmat

#include <SPI.h>
#include <RFID.h>
#define SS_PIN 10
#define RST_PIN 9
RFID rfid(SS_PIN,RST_PIN);
void setup() {
  Serial.begin(9600);                   
  SPI.begin();
  rfid.init();
}

ajangrahmat

// Music 4 Machines — Clean Version
// Struktur: variasi melodi (tease) → melodi utama masuk

let cpm = 94/4;

// ============================================================
// DRUMS
// ============================================================

let drums_light = stack(

ajangrahmat

import argparse
import threading
import time
from flask import Flask, render_template, Response, jsonify, request
import cv2 
import mediapipe as mp
import math
import numpy as np 
import base64
import pygame

ajangrahmat

#include "DHT.h"

#define NUM_BUTTONS 12

// Tombol input
const int buttonPins[NUM_BUTTONS] = {
  22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44
};

// Output yang dikontrol (PIN 31 = dummy/tidak dipakai)

ajangrahmat

import cv2
import numpy as np


# Baca gambar
img = cv2.imread("IMG_20240606_110508.jpg")

# Periksa apakah gambar berhasil dibaca
if img is None:
    print("Error: Tidak dapat membaca gambar. Periksa path file.")

ajangrahmat

import cv2
import face_recognition
import time
from cvzone.FaceDetectionModule import FaceDetector

# Font dan FPS
font = cv2.FONT_HERSHEY_SIMPLEX
jumlahFrame = 0
waktuMulai = time.time()
nilai_fps = 0

ajangrahmat

/*
 * SISTEM MONITORING LINGKUNGAN CANGGIH
 * Arduino Uno R3 - Proyek Kompleks dengan 10+ Library
 * 
 * Fitur:
 * - Monitoring suhu dan kelembaban DHT22
 * - Sensor cahaya LDR
 * - Sensor gerak PIR
 * - Buzzer alarm
 * - LED status

ajangrahmat

import network
import time
from umqtt.simple import MQTTClient
import esp32
import random # Import the random module

wifi = network.WLAN(network.STA_IF)
wifi.active(True)
wifi.connect('Wokwi-GUEST', '')

ajangrahmat

# firaindo.py

import time
import cv2
import avisengine
import config

class FiraIndo:
    def __init__(self):
        self.car = avisengine.Car()

ajangrahmat

import face_recognition
import cv2
import numpy as np
import argparse
import os

def apply_blur(image, region, light_blur=False):
    """Menerapkan efek blur dengan intensitas berbeda"""
    try:
        top, right, bottom, left = region