// load the image and convert it to grayscale
var image = new Mat(fileName);
 
if (rotation != 0)
{
    rotateImage(image, image, rotation, 1);
}
 
if (debug)
{
    Cv2.ImShow("Source", image);
    Cv2.WaitKey(1); // do events
}
 
var gray = new Mat();
var channels = image.Channels();
if (channels > 1)
{
    Cv2.CvtColor(image, gray, ColorConversion.BgrToGray);
}
else
{
    image.CopyTo(gray);
}

// compute the Scharr gradient magnitude representation of the images
// in both the x and y direction
var gradX = new Mat();
Cv2.Sobel(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0, ksize: -1);
//Cv2.Scharr(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0);
 
var gradY = new Mat();
Cv2.Sobel(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1, ksize: -1);
//Cv2.Scharr(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1);
 
// subtract the y-gradient from the x-gradient
var gradient = new Mat();
Cv2.Subtract(gradX, gradY, gradient);
Cv2.ConvertScaleAbs(gradient, gradient);
 
if (debug)
{
    Cv2.ImShow("Gradient", gradient);
    Cv2.WaitKey(1); // do events
}

// blur and threshold the image
var blurred = new Mat();
Cv2.Blur(gradient, blurred, new Size(9, 9));
 
var threshImage = new Mat();
Cv2.Threshold(blurred, threshImage, thresh, 255, ThresholdType.Binary);
 
if (debug)
{
    Cv2.ImShow("Thresh", threshImage);
    Cv2.WaitKey(1); // do events
}
 
 
// construct a closing kernel and apply it to the thresholded image
var kernel = Cv2.GetStructuringElement(StructuringElementShape.Rect, new Size(21, 7));
var closed = new Mat();
Cv2.MorphologyEx(threshImage, closed, MorphologyOperation.Close, kernel);
 
if (debug)
{
    Cv2.ImShow("Closed", closed);
    Cv2.WaitKey(1); // do events
}
 
 
// perform a series of erosions and dilations
Cv2.Erode(closed, closed, null, iterations: 4);
Cv2.Dilate(closed, closed, null, iterations: 4);
 
if (debug)
{
    Cv2.ImShow("Erode & Dilate", closed);
    Cv2.WaitKey(1); // do events
}

//find the contours in the thresholded image, then sort the contours
//by their area, keeping only the largest one
 
Point[][] contours;
HiearchyIndex[] hierarchyIndexes;
Cv2.FindContours(
    closed,
    out contours,
    out hierarchyIndexes,
    mode: ContourRetrieval.CComp,
    method: ContourChain.ApproxSimple);
 
if (contours.Length == 0)
{
    throw new NotSupportedException("Couldn't find any object in the image.");
}
 
var contourIndex = 0;
var previousArea = 0;
var biggestContourRect = Cv2.BoundingRect(contours[0]);
while ((contourIndex >= 0))
{
    var contour = contours[contourIndex];
 
    var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
    var boundingRectArea = boundingRect.Width * boundingRect.Height;
    if (boundingRectArea > previousArea)
    {
        biggestContourRect = boundingRect;
        previousArea = boundingRectArea;
    }
 
    contourIndex = hierarchyIndexes[contourIndex].Next;
}
 
 
var barcode = new Mat(image, biggestContourRect); //Crop the image
Cv2.CvtColor(barcode, barcode, ColorConversion.BgrToGray);
 
Cv2.ImShow("Barcode", barcode);
Cv2.WaitKey(1); // do events

 PM> Install-Package ZXing.Net

private static string getBarcodeText(Mat barcode)
{
    // `ZXing.Net` needs a white space around the barcode
    var barcodeWithWhiteSpace = new Mat(new Size(barcode.Width + 30, barcode.Height + 30), MatType.CV_8U, Scalar.White);
    var drawingRect = new Rect(new Point(15, 15), new Size(barcode.Width, barcode.Height));
    var roi = barcodeWithWhiteSpace[drawingRect];
    barcode.CopyTo(roi);
 
    Cv2.ImShow("Enhanced Barcode", barcodeWithWhiteSpace);
    Cv2.WaitKey(1); // do events
 
    return decodeBarcodeText(barcodeWithWhiteSpace.ToBitmap());
}
 
private static string decodeBarcodeText(System.Drawing.Bitmap barcodeBitmap)
{
    var source = new BitmapLuminanceSource(barcodeBitmap);
 
    // using http://zxingnet.codeplex.com/
    // PM> Install-Package ZXing.Net
    var reader = new BarcodeReader(null, null, ls => new GlobalHistogramBinarizer(ls))
    {
        AutoRotate = true,
        TryInverted = true,
        Options = new DecodingOptions
        {
            TryHarder = true,
            //PureBarcode = true,
            /*PossibleFormats = new List<BarcodeFormat>
                    {
                        BarcodeFormat.CODE_128
                        //BarcodeFormat.EAN_8,
                        //BarcodeFormat.CODE_39,
                        //BarcodeFormat.UPC_A
                    }*/
        }
    };
 
    //var newhint = new KeyValuePair<DecodeHintType, object>(DecodeHintType.ALLOWED_EAN_EXTENSIONS, new Object());
    //reader.Options.Hints.Add(newhint);
 
    var result = reader.Decode(source);
    if (result == null)
    {
        Console.WriteLine("Decode failed.");
        return string.Empty;
    }
 
    Console.WriteLine("BarcodeFormat: {0}", result.BarcodeFormat);
    Console.WriteLine("Result: {0}", result.Text);
 
 
    var writer = new BarcodeWriter
    {
        Format = result.BarcodeFormat,
        Options = { Width = 200, Height = 50, Margin = 4},
        Renderer = new ZXing.Rendering.BitmapRenderer()
    };
    var barcodeImage = writer.Write(result.Text);
    Cv2.ImShow("BarcodeWriter", barcodeImage.ToMat());
 
    return result.Text;
}

var barcodeClone = barcode.Clone();
var barcodeText = getBarcodeText(barcodeClone);
 
if (string.IsNullOrWhiteSpace(barcodeText))
{
    Console.WriteLine("Enhancing the barcode...");
    //Cv2.AdaptiveThreshold(barcode, barcode, 255,
        //AdaptiveThresholdType.GaussianC, ThresholdType.Binary, 9, 1);
    //var th = 119;
    var th = 100;
    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.ToZero);
    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.Binary);
    barcodeText = getBarcodeText(barcode);
}
 
Cv2.Rectangle(image,
    new Point(biggestContourRect.X, biggestContourRect.Y),
    new Point(biggestContourRect.X + biggestContourRect.Width, biggestContourRect.Y + biggestContourRect.Height),
    new Scalar(0, 255, 0),
    2);
 
if (debug)
{
    Cv2.ImShow("Segmented Source", image);
    Cv2.WaitKey(1); // do events
}
 
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();

ASP.NET Core 1.0 is the ground-up rewrite of ASP.NET, MVC and Web API, bringing a new paradigm in building web applications and APIs in .NET. With this rewrite brought new techniques in building SOLID applications, and updated some existing patterns and tools.
In this session, we'll take a lap around some of the major extension points of ASP.NET Core 1.0, walking through how these features can help us build cleaner, more maintainable systems. We'll cover web APIs, traditional MVC applications, controllers, views, filters, dependency injection, tag helpers and more. With a SOLID foundation, our ASP.NET Core applications will be dead simple to build and maintain.
 

    [Route("api/[controller]")]
    public class TypeaheadController : Controller
    {
        [HttpGet("[action]")]
        public async Task<IActionResult> SearchCountries(string term)
        {
            await Task.Delay(1000); // simulating a slow operation

            var items = new[]
                {
                     "Afghanistan",
                     "Albania",
                     "Algeria",
                     "American Samoa",
                     "Andorra",
                     "Angola",
                     "Anguilla",
                     "Antarctica",
                     "Antigua and/or Barbuda"
                };
            var results = string.IsNullOrWhiteSpace(term) ? items :
                           items.Where(item => item.StartsWith(term, StringComparison.OrdinalIgnoreCase));
            return Json(results.ToArray());
        }
    }

import { HttpClient, HttpErrorResponse } from "@angular/common/http";
import { Injectable } from "@angular/core";
import { Observable } from "rxjs/Observable";
import { ErrorObservable } from "rxjs/observable/ErrorObservable";
import { catchError, map } from "rxjs/operators";

@Injectable()
export class SearchService {

  constructor(private http: HttpClient) { }

  searchCountries(term: string): Observable<string[]> {
    return this.http
      .get(`/api/Typeahead/SearchCountries?term=${encodeURIComponent(term)}`)
      .pipe(
        map(response => response || {}),
        catchError((error: HttpErrorResponse) => ErrorObservable.create(error))
      );
  }
}

<label>Country: </label>
<input type="text" (input)="onSearch1Change($event.target.value)" />
<ul class="list-group">
   <li class="list-group-item" *ngFor="let country of countries1">
        {{country}}
   </li>
</ul>

onSearch1Change(value: string) {
 
}

 constructor(private searchService: SearchService) { }

export class AutocompleteSampleComponent implements OnInit {

  countries1: string[] = [];
  private model1Changed: Subject<string> = new Subject<string>();
  private dueTime = 300;

  constructor(private searchService: SearchService) { }

  ngOnInit() {
    this.model1Changed
      .pipe(
        debounceTime(this.dueTime),
        distinctUntilChanged(),
        flatMap(inputValue => {
          console.log("debounced input value1", inputValue);
          return this.searchService.searchCountries(inputValue);
        })
      )
      .subscribe(countries => {
        this.countries1 = countries;
      });
  }

  onSearch1Change(value: string) {
    this.model1Changed.next(value);
  }
}

// A1: Request for `ABC`
// A2: Response for `ABC`
// B1: Request for `ABCX`
// B2: Response for `ABCX`
--A1----------A2-->
------B1--B2------>

Part 1: Trials and Tribulations of TDD
Part 2: Naming Tests; Mocking Frameworks; Dependency Injection
Part 3: Mocks vs. Stubs; Test Frameworks; Assertions; ReSharper Accelerators
Part 4: Tests as Documentation; False Positive Results; Component Isolation
Part 5: Tests vs. Code; Refactor Friendliness; Test Parameterization
Part 6: Mini-Factory Pattern; Don’t Care Terms  

In Defense of Lazy Loading

I don’t know how this happened but for the last couple years (at least), whenever I read an author who writes about ORMs, I often see a sentiment like this: “ORMs are fine, just make sure you disable this pesky feature called Lazy Loading”.

It’s like this feature is not even needed and only brings confusion and performance issues to everyone who chooses to use it. Well, as you may guess from the title of this article, I disagree with this point of view completely. 

In this video we perform a full step by step build of a .NET MAUI App that we test on both Windows and Android. The app interacts with a separate .NET 6 API that we also build step by step.

Level: Beginner

⏲️ Time Codes ⏲️

Theory

- 0:48 Welcome
- 03:13 App demo
- 06:07 Course overview
- 09:14 Ingedients
- 10:10 What is .NET MAUI?
- 12:48 How MAUI works
- 15:14 MAUI project anatomy
- 19:47 MAUI App start up sequence
- 22:29 UI Conepts
- 28:21 XAML vs C#
- 30:29 Solution Architecture
- 31:41 Application Architecture


API Build

- 35:31 API Project Set up
- 42:41 API Model definition
- 44:47 API Db Context
- 47:13 Connection String
- 52:19 Migrations
- 56:31 API Read Endpoint
- 1:01:58 API Create Endpoint
- 1:08:15 API Update Endpoint
- 1:12:57 API Delete Endpoint

MAUI App Build

- 1:17:21 MAUI App Project Set up
- 1:21:00 Android Device Manager
- 1:25:08 MAUI Model definition
- 1:31:16 Data Service Interface
- 1:35:40 Data Service Implementation
- 1:47:27 Data Service Read Method
- 1:53:34 Data Service Create Method
- 1:58:48 Data Service Delete Method
- 2:01:53 Data Service Update Method
- 2:05:41 Android environment config
- 2:11:00 Architecture check point
- 2:11:54 Register MainPage for DI
- 2:14:13 MainPage code-behind
- 2:21:03 MainPage XAML Layout
- 2:30:19 Re-work MainPage layout
- 2:35:12 Add another page (ManagePage)
- 2:38:01 Adding a Route
- 2:30:01 Regiter ManagePage for DI
- 2:40:29 Complete MainPage code-behind
- 2:45:12 ManagePage code-behind
- 2:51:16 QueryProperty
- 2:57:34 ManagePage XMAL
- 3:07:56 Run on Windows
- 3:09:30 Re-work ManagePage layout
- 3:16:26 Using HttpClientFactory

Outro

- 3:21:02 Wrap up and thanks
- 3:21:31 Supporter Credits 

// Create a graphics object for drawing.
Graphics gfxCaptchaImage = Graphics.FromImage(bitmap);

gfxCaptchaImage.PageUnit = GraphicsUnit.Pixel;
gfxCaptchaImage.SmoothingMode = SmoothingMode.HighQuality;
gfxCaptchaImage.Clear(Color.White);

// Create a Random Number from 1000 to 9999
int salt = CaptchaHelpers.CreateSalt();

public int CreateSalt()
{
   Random random = new Random();
   return random.Next(1000, 9999);
}

HttpContext.Current.Session["captchastring"] = salt;

string randomString = (salt).NumberToText(Language.Persian);

// Set up the text format.
var format = new StringFormat();
int faLCID = new System.Globalization.CultureInfo("fa-IR").LCID;
format.SetDigitSubstitution(faLCID, StringDigitSubstitute.National);
format.Alignment = StringAlignment.Near;
format.LineAlignment = StringAlignment.Near;
format.FormatFlags = StringFormatFlags.DirectionRightToLeft;

// Font of Captcha and its size
Font font = new Font("Tahoma", 10);

// Create a path for text 
GraphicsPath path = new GraphicsPath();

path.AddString(randomString, 
                font.FontFamily, 
                (int)font.Style, 
                (gfxCaptchaImage.DpiY * font.SizeInPoints / 72), 
                new Rectangle(0, 0, width, height), format);

gfxCaptchaImage.DrawPath(Pens.Navy, path);

//-- using a sin ware distort the image
int distortion = random.Next(-10, 10);
using (Bitmap copy = (Bitmap)bitmap.Clone())
{
          for (int y = 0; y < height; y++)
          {
              for (int x = 0; x < width; x++)
              {
                  int newX = (int)(x + (distortion * Math.Sin(Math.PI * y / 64.0)));
                  int newY = (int)(y + (distortion * Math.Cos(Math.PI * x / 64.0)));
                  if (newX < 0 || newX >= width) newX = 0;
                 if (newY < 0 || newY >= height) newY = 0;
                 bitmap.SetPixel(x, y, copy.GetPixel(newX, newY));
              }
         }
 }

//-- Draw the graphic to the bitmap
gfxCaptchaImage.DrawImage(bitmap, new Point(0, 0));

gfxCaptchaImage.Flush();

HttpResponseBase response = context.HttpContext.Response;
response.ContentType = "image/jpeg";
bitmap.Save(response.OutputStream, ImageFormat.Jpeg);

// Clean up.
font.Dispose();
gfxCaptchaImage.Dispose();
bitmap.Dispose();

public CaptchaImageResult CaptchaImage()
{
     return new CaptchaImageResult();
}

<img src="@Url.Action("CaptchaImage")"/>

[HttpPost]
public ActionResult Index(LogOnModel model)
{
      if (!ModelState.IsValid) return View(model);

      if (model.CaptchaInputText == Session["captchastring"].ToString()) 
             TempData["message"] = "تصویر امنتی را صحیح وارد کرده اید";
      else 
             TempData["message"] = "تصویر امنیتی را اشتباه وارد کرده اید";

      return View();
}

public static class DummyWeatherProvider
{
    public static async Task<Weather> Get(string city)
    {
        await Task.Delay(10);
        var weather = new Weather 
        { 
            City = city, 
            Date = DateTime.Now, 
            AvgTempratureF = new Random().Next(5, 70) 
        };
        
        return weather;
    }
}