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(C# UWP/WinRT) Amazon Rekognition - Detect Faces in an Image

See more Amazon Rekognition Examples

Detects faces within an image that is provided as input. This example passes theimage as base64-encoded image bytes.

For more information, see https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectFaces.html

Chilkat Universal Windows Platform (UWP) / WinRT Downloads

Chilkat for the Universal Windows Platform (UWP)

Chilkat.Rest rest = new Chilkat.Rest();
bool success;

Chilkat.AuthAws authAws = new Chilkat.AuthAws();
authAws.AccessKey = "AWS_ACCESS_KEY";
authAws.SecretKey = "AWS_SECRET_KEY";
// Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
authAws.Region = "us-west-2";
authAws.ServiceName = "rekognition";
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws);

// URL: https://rekognition.us-west-2.amazonaws.com/
bool bTls = true;
int port = 443;
bool bAutoReconnect = true;
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
success = await rest.ConnectAsync("rekognition.us-west-2.amazonaws.com",port,bTls,bAutoReconnect);
if (success != true) {
    Debug.WriteLine("ConnectFailReason: " + Convert.ToString(rest.ConnectFailReason));
    Debug.WriteLine(rest.LastErrorText);
    return;
}

// Note: The above code does not need to be repeatedly called for each REST request.
// The rest object can be setup once, and then many requests can be sent.  Chilkat will automatically
// reconnect within a FullRequest* method as needed.  It is only the very first connection that is explicitly
// made via the Connect method.

// Load the JPG to be passed as base64 in the JSON.
Chilkat.BinData bdJpg = new Chilkat.BinData();
success = bdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg");
if (success != true) {
    Debug.WriteLine("Failed to load the input JPG file.");
    return;
}

// We wish to send the following JSON in the body of our HTTP request:

// {
//     "Image": {
//         "Bytes": "base64_image_bytes"
//     }
//     "Attributes": [
//         "ALL"
//     ]
// }

// Here is the image we used for testing:


// Convert binary image bytes to base64.
// Note: We are explicitly keeping the data inside Chilkat to avoid having to pass large strings
// as arguments to function calls.  This is important for some programming languages.
Chilkat.StringBuilder sbJpg = new Chilkat.StringBuilder();
bdJpg.GetEncodedSb("base64",sbJpg);

Chilkat.JsonObject json = new Chilkat.JsonObject();
json.UpdateSb("Image.Bytes",sbJpg);
json.UpdateString("Attributes[0]","ALL");

rest.AddHeader("Content-Type","application/x-amz-json-1.1");
rest.AddHeader("X-Amz-Target","RekognitionService.DetectFaces");

Chilkat.StringBuilder sbRequestBody = new Chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder();
success = await rest.FullRequestSbAsync("POST","/",sbRequestBody,sbResponseBody);
if (success != true) {
    Debug.WriteLine(rest.LastErrorText);
    return;
}

int respStatusCode = rest.ResponseStatusCode;
Debug.WriteLine("response status code = " + Convert.ToString(respStatusCode));

if (respStatusCode >= 400) {
    Debug.WriteLine("Response Status Code = " + Convert.ToString(respStatusCode));
    Debug.WriteLine("Response Header:");
    Debug.WriteLine(rest.ResponseHeader);
    Debug.WriteLine("Response Body:");
    Debug.WriteLine(sbResponseBody.GetAsString());
    return;
}

Chilkat.JsonObject jResp = new Chilkat.JsonObject();
jResp.LoadSb(sbResponseBody);

jResp.EmitCompact = false;
Debug.WriteLine(jResp.Emit());

// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)

// {
//   "FaceDetails": [
//     {
//       "AgeRange": {
//         "High": 18,
//         "Low": 8
//       },
//       "Beard": {
//         "Confidence": 98.06282806396484,
//         "Value": false
//       },
//       "BoundingBox": {
//         "Height": 0.327279269695282,
//         "Left": 0.5339247584342957,
//         "Top": 0.23660442233085632,
//         "Width": 0.35611653327941895
//       },
//       "Confidence": 99.99732971191406,
//       "Emotions": [
//         {
//           "Confidence": 99.5849380493164,
//           "Type": "HAPPY"
//         },
//         {
//           "Confidence": 0.15533843636512756,
//           "Type": "CALM"
//         },
//         {
//           "Confidence": 0.08864031732082367,
//           "Type": "SURPRISED"
//         },
//         {
//           "Confidence": 0.05476664379239082,
//           "Type": "SAD"
//         },
//         {
//           "Confidence": 0.042048510164022446,
//           "Type": "CONFUSED"
//         },
//         {
//           "Confidence": 0.038942769169807434,
//           "Type": "DISGUSTED"
//         },
//         {
//           "Confidence": 0.021463459357619286,
//           "Type": "FEAR"
//         },
//         {
//           "Confidence": 0.013858155347406864,
//           "Type": "ANGRY"
//         }
//       ],
//       "Eyeglasses": {
//         "Confidence": 98.5116195678711,
//         "Value": false
//       },
//       "EyesOpen": {
//         "Confidence": 99.65477752685547,
//         "Value": true
//       },
//       "Gender": {
//         "Confidence": 97.1164321899414,
//         "Value": "Female"
//       },
//       "Landmarks": [
//         {
//           "Type": "eyeLeft",
//           "X": 0.6554790735244751,
//           "Y": 0.35153862833976746
//         },
//         {
//           "Type": "eyeRight",
//           "X": 0.7940073609352112,
//           "Y": 0.38292214274406433
//         },
//         {
//           "Type": "mouthLeft",
//           "X": 0.6188991069793701,
//           "Y": 0.46431097388267517
//         },
//         {
//           "Type": "mouthRight",
//           "X": 0.7352844476699829,
//           "Y": 0.490242063999176
//         },
//         {
//           "Type": "nose",
//           "X": 0.7125006914138794,
//           "Y": 0.44607019424438477
//         },
//         {
//           "Type": "leftEyeBrowLeft",
//           "X": 0.6096581220626831,
//           "Y": 0.3071737587451935
//         },
//         {
//           "Type": "leftEyeBrowRight",
//           "X": 0.6628581285476685,
//           "Y": 0.3133310079574585
//         },
//         {
//           "Type": "leftEyeBrowUp",
//           "X": 0.7027584314346313,
//           "Y": 0.33200803399086
//         },
//         {
//           "Type": "rightEyeBrowLeft",
//           "X": 0.7813941240310669,
//           "Y": 0.35023579001426697
//         },
//         {
//           "Type": "rightEyeBrowRight",
//           "X": 0.8213478922843933,
//           "Y": 0.34993964433670044
//         },
//         {
//           "Type": "rightEyeBrowUp",
//           "X": 0.8495538234710693,
//           "Y": 0.36189284920692444
//         },
//         {
//           "Type": "leftEyeLeft",
//           "X": 0.629088282585144,
//           "Y": 0.34286588430404663
//         },
//         {
//           "Type": "leftEyeRight",
//           "X": 0.6820939183235168,
//           "Y": 0.3586524724960327
//         },
//         {
//           "Type": "leftEyeUp",
//           "X": 0.6580297946929932,
//           "Y": 0.3468707501888275
//         },
//         {
//           "Type": "leftEyeDown",
//           "X": 0.6537532210350037,
//           "Y": 0.35663917660713196
//         },
//         {
//           "Type": "rightEyeLeft",
//           "X": 0.7655976414680481,
//           "Y": 0.3776427209377289
//         },
//         {
//           "Type": "rightEyeRight",
//           "X": 0.8166338801383972,
//           "Y": 0.38544225692749023
//         },
//         {
//           "Type": "rightEyeUp",
//           "X": 0.7969376444816589,
//           "Y": 0.37844377756118774
//         },
//         {
//           "Type": "rightEyeDown",
//           "X": 0.7909533977508545,
//           "Y": 0.3877102732658386
//         },
//         {
//           "Type": "noseLeft",
//           "X": 0.6727234721183777,
//           "Y": 0.44030481576919556
//         },
//         {
//           "Type": "noseRight",
//           "X": 0.7237889170646667,
//           "Y": 0.45200300216674805
//         },
//         {
//           "Type": "mouthUp",
//           "X": 0.6882695555686951,
//           "Y": 0.4740942418575287
//         },
//         {
//           "Type": "mouthDown",
//           "X": 0.6720560789108276,
//           "Y": 0.5046101808547974
//         },
//         {
//           "Type": "leftPupil",
//           "X": 0.6554790735244751,
//           "Y": 0.35153862833976746
//         },
//         {
//           "Type": "rightPupil",
//           "X": 0.7940073609352112,
//           "Y": 0.38292214274406433
//         },
//         {
//           "Type": "upperJawlineLeft",
//           "X": 0.5517005324363708,
//           "Y": 0.30355724692344666
//         },
//         {
//           "Type": "midJawlineLeft",
//           "X": 0.5320234894752502,
//           "Y": 0.43352627754211426
//         },
//         {
//           "Type": "chinBottom",
//           "X": 0.6419994831085205,
//           "Y": 0.5531964302062988
//         },
//         {
//           "Type": "midJawlineRight",
//           "X": 0.7752369046211243,
//           "Y": 0.48957017064094543
//         },
//         {
//           "Type": "upperJawlineRight",
//           "X": 0.8515444397926331,
//           "Y": 0.37258899211883545
//         }
//       ],
//       "MouthOpen": {
//         "Confidence": 68.26280212402344,
//         "Value": false
//       },
//       "Mustache": {
//         "Confidence": 99.73213195800781,
//         "Value": false
//       },
//       "Pose": {
//         "Pitch": -11.299633026123047,
//         "Roll": 17.6924991607666,
//         "Yaw": 13.582314491271973
//       },
//       "Quality": {
//         "Brightness": 83.72581481933594,
//         "Sharpness": 67.22731018066406
//       },
//       "Smile": {
//         "Confidence": 98.4793930053711,
//         "Value": true
//       },
//       "Sunglasses": {
//         "Confidence": 99.3582992553711,
//         "Value": false
//       }
//     }
//   ]
// }

// Sample code for parsing the JSON response...
// Use the following online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON

int AgeRangeHigh;
int AgeRangeLow;
string BeardConfidence;
bool BeardValue;
string BoundingBoxHeight;
string BoundingBoxLeft;
string BoundingBoxTop;
string BoundingBoxWidth;
string Confidence;
string EyeglassesConfidence;
bool EyeglassesValue;
string EyesOpenConfidence;
bool EyesOpenValue;
string GenderConfidence;
string GenderValue;
string MouthOpenConfidence;
bool MouthOpenValue;
string MustacheConfidence;
bool MustacheValue;
string PosePitch;
string PoseRoll;
string PoseYaw;
string QualityBrightness;
string QualitySharpness;
string SmileConfidence;
bool SmileValue;
string SunglassesConfidence;
bool SunglassesValue;
int j;
int count_j;
string v_Type;
string X;
string Y;

int i = 0;
int count_i = jResp.SizeOfArray("FaceDetails");
while (i < count_i) {
    jResp.I = i;
    AgeRangeHigh = jResp.IntOf("FaceDetails[i].AgeRange.High");
    AgeRangeLow = jResp.IntOf("FaceDetails[i].AgeRange.Low");
    BeardConfidence = jResp.StringOf("FaceDetails[i].Beard.Confidence");
    BeardValue = jResp.BoolOf("FaceDetails[i].Beard.Value");
    BoundingBoxHeight = jResp.StringOf("FaceDetails[i].BoundingBox.Height");
    BoundingBoxLeft = jResp.StringOf("FaceDetails[i].BoundingBox.Left");
    BoundingBoxTop = jResp.StringOf("FaceDetails[i].BoundingBox.Top");
    BoundingBoxWidth = jResp.StringOf("FaceDetails[i].BoundingBox.Width");
    Confidence = jResp.StringOf("FaceDetails[i].Confidence");
    EyeglassesConfidence = jResp.StringOf("FaceDetails[i].Eyeglasses.Confidence");
    EyeglassesValue = jResp.BoolOf("FaceDetails[i].Eyeglasses.Value");
    EyesOpenConfidence = jResp.StringOf("FaceDetails[i].EyesOpen.Confidence");
    EyesOpenValue = jResp.BoolOf("FaceDetails[i].EyesOpen.Value");
    GenderConfidence = jResp.StringOf("FaceDetails[i].Gender.Confidence");
    GenderValue = jResp.StringOf("FaceDetails[i].Gender.Value");
    MouthOpenConfidence = jResp.StringOf("FaceDetails[i].MouthOpen.Confidence");
    MouthOpenValue = jResp.BoolOf("FaceDetails[i].MouthOpen.Value");
    MustacheConfidence = jResp.StringOf("FaceDetails[i].Mustache.Confidence");
    MustacheValue = jResp.BoolOf("FaceDetails[i].Mustache.Value");
    PosePitch = jResp.StringOf("FaceDetails[i].Pose.Pitch");
    PoseRoll = jResp.StringOf("FaceDetails[i].Pose.Roll");
    PoseYaw = jResp.StringOf("FaceDetails[i].Pose.Yaw");
    QualityBrightness = jResp.StringOf("FaceDetails[i].Quality.Brightness");
    QualitySharpness = jResp.StringOf("FaceDetails[i].Quality.Sharpness");
    SmileConfidence = jResp.StringOf("FaceDetails[i].Smile.Confidence");
    SmileValue = jResp.BoolOf("FaceDetails[i].Smile.Value");
    SunglassesConfidence = jResp.StringOf("FaceDetails[i].Sunglasses.Confidence");
    SunglassesValue = jResp.BoolOf("FaceDetails[i].Sunglasses.Value");
    j = 0;
    count_j = jResp.SizeOfArray("FaceDetails[i].Emotions");
    while (j < count_j) {
        jResp.J = j;
        Confidence = jResp.StringOf("FaceDetails[i].Emotions[j].Confidence");
        v_Type = jResp.StringOf("FaceDetails[i].Emotions[j].Type");
        j = j + 1;
    }

    j = 0;
    count_j = jResp.SizeOfArray("FaceDetails[i].Landmarks");
    while (j < count_j) {
        jResp.J = j;
        v_Type = jResp.StringOf("FaceDetails[i].Landmarks[j].Type");
        X = jResp.StringOf("FaceDetails[i].Landmarks[j].X");
        Y = jResp.StringOf("FaceDetails[i].Landmarks[j].Y");
        j = j + 1;
    }

    i = i + 1;
}


 

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