elbruno

static string CsvToJson(string csvPath, string granularity = "daily", bool hasHeaders = true)
{
    char[] fieldSeparator = { ',' };
    var lines = System.IO.File.ReadAllLines(csvPath);

    // remove header
    if (hasHeaders)
        lines = lines.Skip(1).ToArray();

    // build series

elbruno

# get installed dotNet SDKs
$dnSDKs = dotnet --list-sdks

Write-Host "---------------------------"
Write-Host "Installed SDKs:"
foreach ($dnSDK in $dnSDKs) {
    Write-Host $dnSDK
}
Write-Host "---------------------------"

elbruno

// open file as byte array
var byteData = GetImageAsByteArray(imageFilePath);

// prediction
var client = new HttpClient();
using var content = new ByteArrayContent(byteData);
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
var response = await client.PostAsync(Url, content);
var jsonResponse = await response.Content.ReadAsStringAsync();

elbruno

using System;
using System.Collections.Generic;
using System.Globalization;
using Newtonsoft.Json;
using Newtonsoft.Json.Converters;

// created with https://app.quicktype.io/#l=cs&r=   
namespace DistractedDriverDetectionShared
{
    public partial class CustomVisionEstimation

elbruno

import os
import cv2
import time

# init camera
execution_path = os.getcwd()
camera = cv2.VideoCapture(0)

while True:
    # Init and FPS process

elbruno

import os
import iotc

def getCPUtemperature():
    res = os.popen('vcgencmd measure_temp').readline()
    return(res.replace("temp=","").replace("'C\n",""))

def sendTempAndConnectionDate():
  print("Sending temp and connection date ..")
  propJson = "{\"rpiTemp\": \"" + str(getCPUtemperature()) + "\"}"

elbruno

import os

def getCPUtemperature():
    res = os.popen('vcgencmd measure_temp').readline()
    return(res.replace("temp=","").replace("'C\n",""))
  
 print(getCPUtemperature())

elbruno

# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license.
# Based on 
# https://raw.githubusercontent.com/Azure/iot-central-firmware/master/RaspberryPi/app.py

...

while iotc.isConnected():
  iotc.doNext() # do the async work needed to be done for MQTT
  if gCanSend == True:

elbruno

# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license.
# Based on 
# https://raw.githubusercontent.com/Azure/iot-central-firmware/master/RaspberryPi/app.py

...

while iotc.isConnected():
  iotc.doNext() # do the async work needed to be done for MQTT
  if gCanSend == True:

elbruno

# load HL detection model from imageAI
# open camera with openCV, analyze frame by frame
# draw a red frame around the detected object
# display FPS, resize image to 1/4 to improve performance

from imageai.Detection.Custom import CustomObjectDetection
import os
import cv2
import time