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Delphi ActiveX

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.

Chilkat Delphi ActiveX Downloads

Delphi ActiveX
uses
    Winapi.Windows, Winapi.Messages, System.SysUtils, System.Variants, System.Classes, Vcl.Graphics,
    Vcl.Controls, Vcl.Forms, Vcl.Dialogs, Vcl.StdCtrls, Chilkat_TLB;

...

procedure TForm1.Button1Click(Sender: TObject);
var
success: Integer;
rest: TChilkatRest;
authAws: TChilkatAuthAws;
bTls: Integer;
port: Integer;
bAutoReconnect: Integer;
bdJpg: TChilkatBinData;
sbJpg: TChilkatStringBuilder;
json: TChilkatJsonObject;
sbRequestBody: TChilkatStringBuilder;
sbResponseBody: TChilkatStringBuilder;
respStatusCode: Integer;
jResp: TChilkatJsonObject;
AgeRangeHigh: Integer;
AgeRangeLow: Integer;
BeardConfidence: WideString;
BeardValue: Integer;
BoundingBoxHeight: WideString;
BoundingBoxLeft: WideString;
BoundingBoxTop: WideString;
BoundingBoxWidth: WideString;
Confidence: WideString;
EyeglassesConfidence: WideString;
EyeglassesValue: Integer;
EyesOpenConfidence: WideString;
EyesOpenValue: Integer;
GenderConfidence: WideString;
GenderValue: WideString;
MouthOpenConfidence: WideString;
MouthOpenValue: Integer;
MustacheConfidence: WideString;
MustacheValue: Integer;
PosePitch: WideString;
PoseRoll: WideString;
PoseYaw: WideString;
QualityBrightness: WideString;
QualitySharpness: WideString;
SmileConfidence: WideString;
SmileValue: Integer;
SunglassesConfidence: WideString;
SunglassesValue: Integer;
j: Integer;
count_j: Integer;
v_Type: WideString;
X: WideString;
Y: WideString;
i: Integer;
count_i: Integer;

begin
success := 0;

rest := TChilkatRest.Create(Self);

authAws := TChilkatAuthAws.Create(Self);
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.ControlInterface);

// URL: https://rekognition.us-west-2.amazonaws.com/
bTls := 1;
port := 443;
bAutoReconnect := 1;
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
success := rest.Connect('rekognition.us-west-2.amazonaws.com',port,bTls,bAutoReconnect);
if (success <> 1) then
  begin
    Memo1.Lines.Add('ConnectFailReason: ' + IntToStr(rest.ConnectFailReason));
    Memo1.Lines.Add(rest.LastErrorText);
    Exit;
  end;

// 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.
bdJpg := TChilkatBinData.Create(Self);
success := bdJpg.LoadFile('qa_data/jpg/kid_blue_coat.jpg');
if (success <> 1) then
  begin
    Memo1.Lines.Add('Failed to load the input JPG file.');
    Exit;
  end;

// 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:
// (image:https://example-code.com/images/kid_blue_coat.jpg/endImage)

// 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.
sbJpg := TChilkatStringBuilder.Create(Self);
bdJpg.GetEncodedSb('base64',sbJpg.ControlInterface);

json := TChilkatJsonObject.Create(Self);
json.UpdateSb('Image.Bytes',sbJpg.ControlInterface);
json.UpdateString('Attributes[0]','ALL');

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

sbRequestBody := TChilkatStringBuilder.Create(Self);
json.EmitSb(sbRequestBody.ControlInterface);
sbResponseBody := TChilkatStringBuilder.Create(Self);
success := rest.FullRequestSb('POST','/',sbRequestBody.ControlInterface,sbResponseBody.ControlInterface);
if (success <> 1) then
  begin
    Memo1.Lines.Add(rest.LastErrorText);
    Exit;
  end;
respStatusCode := rest.ResponseStatusCode;
Memo1.Lines.Add('response status code = ' + IntToStr(respStatusCode));

if (respStatusCode >= 400) then
  begin
    Memo1.Lines.Add('Response Status Code = ' + IntToStr(respStatusCode));
    Memo1.Lines.Add('Response Header:');
    Memo1.Lines.Add(rest.ResponseHeader);
    Memo1.Lines.Add('Response Body:');
    Memo1.Lines.Add(sbResponseBody.GetAsString());
    Exit;
  end;

jResp := TChilkatJsonObject.Create(Self);
jResp.LoadSb(sbResponseBody.ControlInterface);

jResp.EmitCompact := 0;
Memo1.Lines.Add(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

i := 0;
count_i := jResp.SizeOfArray('FaceDetails');
while i < count_i do
  begin
    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 do
      begin
        jResp.J := j;
        Confidence := jResp.StringOf('FaceDetails[i].Emotions[j].Confidence');
        v_Type := jResp.StringOf('FaceDetails[i].Emotions[j].Type');
        j := j + 1;
      end;

    j := 0;
    count_j := jResp.SizeOfArray('FaceDetails[i].Landmarks');
    while j < count_j do
      begin
        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;
      end;

    i := i + 1;
  end;
end;