Park-Developer

#include <stdio.h>
#include <unistd.h>
#include <sys/wait.h> //waitpid() 함수를 위해 사용

int main(int argc, char **argv){
	pid_t pid;
	int pfd[2];
	char line[BUFSIZ]; // <stdio.h> 파일에 정의된 버퍼 크기로 결정
	int status;

Park-Developer

#include<stdio.h>
#include<wiringPi.h>
 
#define TRIG 21 // trig GPIO 5
#define ECHO 22 // echo GPIO 6
 
int main(void){
    long startTime;
    long travelTime;
    int distance=0;

Park-Developer

import socket

sock=socket.socket(socket.AF_INET,socket.SOCK_DGRAM)


while True:
    #Error Case
    #print("wait?")
    #data,addr=sock.recvfrom(1024)
    #print("Client is received data : ",data.decode())

Park-Developer

//server.cpp
 
//header.h
 
# include <stdio.h>
# include <string.h>
# include <stdlib.h>
# include <netinet/in.h>
# include <sys/socket.h>
# include <arpa/inet.h>

Park-Developer

from socket import *

clientSock = socket(AF_INET, SOCK_STREAM)
clientSock.connect(('169.254.42.23', 5100))

print('연결 확인 됐습니다.')


clientSock.send('I am a client'.encode('utf-8'))

Park-Developer

#include <stdio.h>
#include <string.h>
#include <unistd.h>
#include <sys/socket.h>
#include <arpa/inet.h>

#define TCP_PORT 5100

int main(int argc, char **argv)
{

Park-Developer

#include <stdio.h>
#include <string.h>
#include <unistd.h>
#include <sys/socket.h>
#include <arpa/inet.h>

#define TCP_PORT 5100

int main(int argc, char **argv)
{

Park-Developer

#include <stdio.h>
#include <wiringPi.h>
#include <pcf8591.h>
#include <math.h>
#define PCF 120

int main (void)
{
 int value0 ;
 int value1;

Park-Developer

import cv2

cap=cv2.VideoCapture(0) # 카메라 0번 장치 연결

width=cap.get(cv2.CAP_PROP_FRAME_WIDTH) # 프레임 폭
height=cap.get(cv2.CAP_PROP_FRAME_HEIGHT) # 프레임 높이
print("Original Size",width,height)

cap.set(cv2.CAP_PROP_FRAME_WIDTH,320)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,240)

Park-Developer

import tensorflow_hub as hub
import cv2
import numpy
import tensorflow as tf
import pandas as pd

# Carregar modelos
detector = hub.load("https://tfhub.dev/tensorflow/efficientdet/lite2/detection/1")
labels = pd.read_csv('labels.csv',sep=';',index_col='ID')
labels = labels['OBJECT (2017 REL.)']