HectorTorres

En CMD o PowerShell abrir con permisos de administrador y poner:
wsl --install
wsl --set-default-version 2

Descargar archivo e instalar:
https://wslstorestorage.blob.core.windows.net/wslblob/wsl_update_x64.msi

En Microsoft Store
Buscar e instalar Python3.8
Buscar e instalar Visual Studio Code

HectorTorres

import numpy as np
import tensorflow as tf
import cv2
from object_detection.utils import visualization_utils as vis_util
#import visualization_utils as vis_util

def create_category_index(label_path="C:/Users/gdlhtorr/Desktop/inference_tflite_od/model.txt"):
    """
    To create dictionary of label map
    Parameters

HectorTorres

from datetime import datetime
import time
import pathlib
import sys
import base64
import json
import os
import numpy as np
import requests
import cv2

HectorTorres

[DataBase]
Driver = SQL Server
Server = DESKTOP-0HHEA1Q\SQLEXPRESS
Database = testDB
UID = python
PWD = admin2

HectorTorres

import pyodbc
import time
import sys
import os
from datetime import datetime
from configparser import ConfigParser

dummyVar = 1
va = 12
vc = "Texto"

HectorTorres

 #String json_data = "{\"Sesor_id\":\"3E24R\",\"Value\":" + (String)randNumber + "}";

import serial, time, json
import matplotlib.pyplot as plt
import numpy as np

hw_sensor = serial.Serial(port='COM4', baudrate=115200, timeout=1, write_timeout=1)
fig, ax = plt.subplots()

t = np.linspace(0,20,21)

HectorTorres

long randNumber;
String inputString;

void setup(){
  Serial.begin(115200);
  randomSeed(analogRead(0));
  }

void loop(){
  delay(100);

HectorTorres

 #String json_data = "{\"Sesor_id\":\"3E24R\",\"Value\":" + (String)randNumber + "}";

import serial, time, json

hw_sensor = serial.Serial(port='COM4', baudrate=115200, timeout=1, write_timeout=1)

if __name__ == '__main__':
    while True:
        hw_sensor.write('getValue'.encode('utf-8'))
        time.sleep(1)

HectorTorres

import matplotlib.pyplot as plt
import numpy as np
import time


f=10
T=1/f

t = np.linspace(0,5*T,300)
diff=t[1]-t[0]

HectorTorres

import matplotlib.pyplot as plt
import numpy as np
import math

x = np.linspace(0, 10, 5000)

fig, ax = plt.subplots()  # Crea la figura y los ejes.
ax.plot(x, x*x)  # Grafica una funcion cuadratica
plt.show() # Llama a la grafica para que se muestre.