Things used in this project

Hardware components:
Lp p7iwevlp6d
LattePanda 2G/32GB (Activated)
×1
Software apps and online services:
Microsoft Cognitive Services

Code

Code ExampleC#
Don't forget to replace the API key!
using System;
using System.IO;
using System.Net.Http.Headers;
using System.Net.Http;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            Console.Write("Enter the location of your picture:");
            string imageFilePath = Console.ReadLine();

            MakeAnalysisRequest(imageFilePath);

            Console.WriteLine("\n\n\nWait for the result below, then hit ENTER to exit...\n\n\n");
            Console.ReadLine();
        }

        static byte[] GetImageAsByteArray(string imageFilePath)
        {
            FileStream fileStream = new FileStream(imageFilePath, FileMode.Open, FileAccess.Read);
            BinaryReader binaryReader = new BinaryReader(fileStream);
            return binaryReader.ReadBytes((int)fileStream.Length);
        }

        static async void MakeAnalysisRequest(string imageFilePath)
        {
            var client = new HttpClient();

            // Request headers - replace this example key with your valid key.
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "Enter your apikey here");

            // Request parameters and URI string.
            string queryString = "returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=age,gender";
            string uri = "https://westus.api.cognitive.microsoft.com/face/v1.0/detect?" + queryString;

            HttpResponseMessage response;
            string responseContent;

            // Request body. Try this sample with a locally stored JPEG image.
            byte[] byteData = GetImageAsByteArray(imageFilePath);

            using (var content = new ByteArrayContent(byteData))
            {
                // This example uses content type "application/octet-stream".
                // The other content types you can use are "application/json" and "multipart/form-data".
                content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
                response = await client.PostAsync(uri, content);
                responseContent = response.Content.ReadAsStringAsync().Result;
            }

            //A peak at the JSON response.
            Console.WriteLine(responseContent);
        }
    }
}

Credits

13245269 10153668742428652 5499237831655557257 n
Matt Jani
1 project • 2 followers
tech head, tinkerer, robo-wrangler
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