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|  How to Integrate Google Cloud Vision API for Object Detection in C#

How to Integrate Google Cloud Vision API for Object Detection in C#

October 31, 2024

Learn to seamlessly integrate Google Cloud Vision API for object detection in C#. Step-by-step guide for developers to enhance applications with visual analysis.

How to Integrate Google Cloud Vision API for Object Detection in C#

 

Integrate the Google Cloud Vision API in C#

 

To integrate the Google Cloud Vision API for object detection using C#, follow these steps to set up your application properly, assuming you have already set up your Google Cloud account and obtained necessary credentials like API keys.

 

  • First, you need to install the Google.Cloud.Vision.V1 NuGet package. This package includes all the functionality required to use Google Cloud Vision services in your application.

 


dotnet add package Google.Cloud.Vision.V1

 

  • Authenticate your application by setting the environment variable for Google Application Credentials. This links your application to your Google Cloud project and allows access to Vision API services.

 


set GOOGLE_APPLICATION_CREDENTIALS=/path/to/your-service-account-file.json

 

  • Now, you should write the necessary code to use the Google Cloud Vision API for object detection. The code below provides an example of how to use the API to detect objects in an image:

 


using Google.Cloud.Vision.V1;
using System;
using System.Collections.Generic;

class ObjectDetection
{
    static void Main(string[] args)
    {
        string imagePath = "path/to/your/image.jpg";

        ImageAnnotatorClient client = ImageAnnotatorClient.Create();
        Image image = Image.FromFile(imagePath);
        IReadOnlyList<LocalizedObjectAnnotation> objects = client.DetectLocalizedObjects(image);

        Console.WriteLine("Objects and bounding boxes:");
        foreach (var obj in objects)
        {
            Console.WriteLine($"Object: {obj.Name}, Confidence: {obj.Score}");
            Console.WriteLine("Bounding polygon vertices:");
            foreach (var vertex in obj.BoundingPoly.Vertices)
            {
                Console.WriteLine($"X: {vertex.X}, Y: {vertex.Y}");
            }
        }
    }
}

 

  • In the code above:
    • We create an `ImageAnnotatorClient` to interact with the Vision API.
    • We load an image using the `Image.FromFile` method.
    • We call `DetectLocalizedObjects` to detect objects in the image and retrieve information about each detected object.
    • We iterate over each detected object, printing out the object's name, confidence score, and the vertices of the bounding polygon that highlight the object's position in the image.

 

  • This setup and the provided code allow your C# application to utilize Google Cloud Vision API's object detection capabilities efficiently. Ensure your application logic aligns with any specific requirements or constraints in your project.

 

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