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View intructions_od_docker.txt
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
View inference_od_tflite.py
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
View inference_od_docker.py
from datetime import datetime
import time
import pathlib
import sys
import base64
import json
import os
import numpy as np
import requests
import cv2
View gist:7e02a17652d8035c3f4b3a098d38e625
[DataBase]
Driver = SQL Server
Server = DESKTOP-0HHEA1Q\SQLEXPRESS
Database = testDB
UID = python
PWD = admin2
View sql01.py
import pyodbc
import time
import sys
import os
from datetime import datetime
from configparser import ConfigParser
dummyVar = 1
va = 12
vc = "Texto"
View pyserial-matplotlib.py
#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)
View arduino-python-serial.ino
long randNumber;
String inputString;
void setup(){
Serial.begin(115200);
randomSeed(analogRead(0));
}
void loop(){
delay(100);
View python-serial.py
#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)
View matplotlib-py3.py
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]
View matplotlib-py1.py
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.