Random wanderings through Microsoft Azure esp. PaaS plumbing, the IoT bits, AI on Micro controllers, AI on Edge Devices, .NET nanoFramework, .NET Core on *nix and ML.NET+ONNX
After some investigation I think the scaling of the image used for inferencing (based on the requirements on the model), then the scaling of the minimum bounding rectangles isn’t quite right.
After some discussion with my co-workers I decided to explore how much Github Copilot helped building a “non-trivial” computer vision Proof of Concept (PoC). In previous blog posts I have written about capturing still images from a Security Camera so figured that was a good place to start.
Even though I have been using Copilot for a while I still say please.
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
string cameraUrl = "http://your-security-camera-url/image.jpg"; // Replace with your security camera URL
string savePath = "C:\\path\\to\\save\\image.jpg"; // Replace with the path where you want to save the image
using (HttpClient client = new HttpClient())
{
try
{
HttpResponseMessage response = await client.GetAsync(cameraUrl);
response.EnsureSuccessStatusCode();
byte[] imageBytes = await response.Content.ReadAsByteArrayAsync();
await File.WriteAllBytesAsync(savePath, imageBytes);
Console.WriteLine("Image retrieved and saved successfully.");
}
catch (Exception ex)
{
Console.WriteLine($"An error occurred: {ex.Message}");
}
}
}
}
The generated code compiled first time, looked “ok” and worked with some of my security cameras when the cameraurl and save path were modified
I then modified the code so “sensitive” information was not stored in code or configuration files.
//using System;
//using System.IO;
//using System.Net.Http;
//using System.Reflection;
//using System.Threading.Tasks;
using Microsoft.Extensions.Configuration;
class Program
{
static async Task Main(string[] args)
{
//string cameraUrl = "http://your-security-camera-url/image.jpg"; // Replace with your security camera URL
//string savePath = "C:\\path\\to\\save\\image.jpg"; // Replace with the path where you want to save the image
Model.ApplicationSettings applicationSettings;
Console.WriteLine($"{DateTime.UtcNow:yy-MM-dd HH:mm:ss} 0.2.CameraHTTPClient starting");
#if RELEASE
Console.WriteLine("RELEASE");
#else
Console.WriteLine("DEBUG");
#endif
// load the app settings into configuration
var configuration = new ConfigurationBuilder()
.AddJsonFile("appsettings.json", false, true)
.AddUserSecrets<Program>()
.Build();
applicationSettings = configuration.GetSection("ApplicationSettings").Get<Model.ApplicationSettings>();
using (HttpClient client = new HttpClient())
{
try
{
HttpResponseMessage response = await client.GetAsync(applicationSettings.CameraUrl);
response.EnsureSuccessStatusCode();
byte[] imageBytes = await response.Content.ReadAsByteArrayAsync();
await File.WriteAllBytesAsync(applicationSettings.SavePath, imageBytes);
Console.WriteLine("Image retrieved and saved successfully.");
}
catch (Exception ex)
{
Console.WriteLine($"An error occurred: {ex.Message}");
}
}
}
}
namespace Model
{
public class ApplicationSettings
{
public string CameraUrl { get; set; } = "";
public string SavePath { get; set; } = "Images";
}
}
// please write c# console application that uses httpclient and an httpget to retrieve image from security camera with NetworkCredential security
//
// Sure! Here's a C# console application that uses HttpClient and HttpGet to retrieve an image from a security camera with NetworkCredential security:
// In this example:
//
// Replace http://your-security-camera-url/image.jpg with the actual URL of your security camera's image.
//
// Replace C:\\path\\to\\save\\image.jpg with the path where you want to save the retrieved image.
//
// Replace your-username and your-password with your actual credentials.
//
// This application uses HttpClient with NetworkCredential to authenticate the request, retrieves the image as a byte array, and saves it to the specified path. If there's an error during the process, it will be caught and displayed in the console.
//
// Happy coding! 🚀
//using System;
//using System.IO;
using System.Net;
//using System.Net.Http;
//using System.Threading.Tasks;
using Microsoft.Extensions.Configuration;
class Program
{
static async Task Main(string[] args)
{
//string cameraUrl = "http://your-security-camera-url/image.jpg"; // Replace with your security camera URL
//string savePath = "C:\\path\\to\\save\\image.jpg"; // Replace with the path where you want to save the image
//string username = "your-username"; // Replace with your username
//string password = "your-password"; // Replace with your password
Model.ApplicationSettings applicationSettings;
Console.WriteLine($"{DateTime.UtcNow:yy-MM-dd HH:mm:ss} 0.3.CameraHTTPClient starting");
#if RELEASE
Console.WriteLine("RELEASE");
#else
Console.WriteLine("DEBUG");
#endif
// load the app settings into configuration
var configuration = new ConfigurationBuilder()
.AddJsonFile("appsettings.json", false, true)
.AddUserSecrets<Program>()
.Build();
applicationSettings = configuration.GetSection("ApplicationSettings").Get<Model.ApplicationSettings>();
using (HttpClientHandler handler = new HttpClientHandler { Credentials = new NetworkCredential(applicationSettings.Username, applicationSettings.Password) })
using (HttpClient client = new HttpClient(handler))
{
try
{
HttpResponseMessage response = await client.GetAsync(applicationSettings.CameraUrl);
response.EnsureSuccessStatusCode();
byte[] imageBytes = await response.Content.ReadAsByteArrayAsync();
await File.WriteAllBytesAsync(applicationSettings.SavePath, imageBytes);
Console.WriteLine("Image retrieved and saved successfully.");
}
catch (Exception ex)
{
Console.WriteLine($"An error occurred: {ex.Message}");
}
}
}
}
namespace Model
{
public class ApplicationSettings
{
public string CameraUrl { get; set; } = "";
public string SavePath { get; set; } = "Images";
public string Username { get; set; } = "";
public string Password { get; set; } = "";
}
}
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