object_detection_image_csharp.cs

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;


namespace appone
{

class Response {

    public bool success {get;set;}
    public Object[] predictions {get;set;}

}

class Object {

    public string label {get;set;}
    public float confidence {get;set;}
    public int y_min {get;set;}
    public int x_min {get;set;}
    public int y_max {get;set;}
    public int x_max {get;set;}

}

class App {

    static HttpClient client = new HttpClient();

    public static async Task detectFace(string image_path){

        var request = new MultipartFormDataContent();
        var image_data = File.OpenRead(image_path);
        request.Add(new StreamContent(image_data),"image",Path.GetFileName(image_path));
        
        //REMEMBER TO REPLACE IP '165.22.72.67' below with the IP of your Ubuntu server
        var output = await client.PostAsync("http://165.22.72.67:80/v1/vision/detection",request);
        var jsonString = await output.Content.ReadAsStringAsync();
        Response response = JsonConvert.DeserializeObject<Response>(jsonString);

        foreach (var user in response.predictions){

            Console.WriteLine(user.label);

        }

        Console.WriteLine(jsonString);

    }

    static void Main(string[] args){

        detectFace("office.png").Wait();

    }

}

}