How to detect people in a photo using C# in .NET Framework

Let’s keep this as simple as possible. How about two steps? Here we go:

First, install the API client needed using this command in the package manager console:

Install-Package Cloudmersive.APIClient.NET.ImageRecognition -Version 1.3.5

All that’s left to do is call RecognizeDetectPeople:

using System;
using System.Diagnostics;
using Cloudmersive.APIClient.NET.ImageRecognition.Api;
using Cloudmersive.APIClient.NET.ImageRecognition.Client;
using Cloudmersive.APIClient.NET.ImageRecognition.Model;
namespace Example
{
    public class RecognizeDetectPeopleExample
    {
        public void main()
        {
            // Configure API key authorization: Apikey
            Configuration.Default.AddApiKey("Apikey", "YOUR_API_KEY");
            // Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
            // Configuration.Default.AddApiKeyPrefix("Apikey", "Bearer");
var apiInstance = new RecognizeApi();
            var imageFile = new System.IO.Stream(); // System.IO.Stream | Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.
try
            {
                // Detect people, including locations, in an image
                ObjectDetectionResult result = apiInstance.RecognizeDetectPeople(imageFile);
                Debug.WriteLine(result);
            }
            catch (Exception e)
            {
                Debug.Print("Exception when calling RecognizeApi.RecognizeDetectPeople: " + e.Message );
            }
        }
    }
}

Done. See? Pretty easy. Now let’s look at a quick example using this image:

And our results:

{
  "Successful": true,
  "Objects": [
    {
      "ObjectClassName": "person",
      "Height": 1376,
      "Width": 2117,
      "Score": 0.9483813047409058,
      "X": 1564,
      "Y": 538
    },
    {
      "ObjectClassName": "person",
      "Height": 1317,
      "Width": 761,
      "Score": 0.8933420777320862,
      "X": 8,
      "Y": 413
    },
    {
      "ObjectClassName": "person",
      "Height": 1362,
      "Width": 1089,
      "Score": 0.8351640105247498,
      "X": 679,
      "Y": 474
    },
    {
      "ObjectClassName": "person",
      "Height": 1444,
      "Width": 1810,
      "Score": 0.6968361139297485,
      "X": 1004,
      "Y": 495
    }
  ],
  "ObjectCount": 4
}

We are given dimensions of each person, their locations, and an overall person count.