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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 AutoIt Downloads
Local $bSuccess = False
$oRest = ObjCreate("Chilkat.Rest")
$oAuthAws = ObjCreate("Chilkat.AuthAws")
$oAuthAws.AccessKey = "AWS_ACCESS_KEY"
$oAuthAws.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.)
$oAuthAws.Region = "us-west-2"
$oAuthAws.ServiceName = "rekognition"
; SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
$oRest.SetAuthAws($oAuthAws)
; URL: https://rekognition.us-west-2.amazonaws.com/
Local $bTls = True
Local $iPort = 443
Local $bAutoReconnect = True
; Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
$bSuccess = $oRest.Connect("rekognition.us-west-2.amazonaws.com",$iPort,$bTls,$bAutoReconnect)
If ($bSuccess <> True) Then
ConsoleWrite("ConnectFailReason: " & $oRest.ConnectFailReason & @CRLF)
ConsoleWrite($oRest.LastErrorText & @CRLF)
Exit
EndIf
; 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.
$oBdJpg = ObjCreate("Chilkat.BinData")
$bSuccess = $oBdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
If ($bSuccess <> True) Then
ConsoleWrite("Failed to load the input JPG file." & @CRLF)
Exit
EndIf
; 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.
$oSbJpg = ObjCreate("Chilkat.StringBuilder")
$oBdJpg.GetEncodedSb("base64",$oSbJpg)
$oJson = ObjCreate("Chilkat.JsonObject")
$oJson.UpdateSb("Image.Bytes",$oSbJpg)
$oJson.UpdateString("Attributes[0]","ALL")
$oRest.AddHeader("Content-Type","application/x-amz-json-1.1")
$oRest.AddHeader("X-Amz-Target","RekognitionService.DetectFaces")
$oSbRequestBody = ObjCreate("Chilkat.StringBuilder")
$oJson.EmitSb($oSbRequestBody)
$oSbResponseBody = ObjCreate("Chilkat.StringBuilder")
$bSuccess = $oRest.FullRequestSb("POST","/",$oSbRequestBody,$oSbResponseBody)
If ($bSuccess <> True) Then
ConsoleWrite($oRest.LastErrorText & @CRLF)
Exit
EndIf
Local $iRespStatusCode = $oRest.ResponseStatusCode
ConsoleWrite("response status code = " & $iRespStatusCode & @CRLF)
If ($iRespStatusCode >= 400) Then
ConsoleWrite("Response Status Code = " & $iRespStatusCode & @CRLF)
ConsoleWrite("Response Header:" & @CRLF)
ConsoleWrite($oRest.ResponseHeader & @CRLF)
ConsoleWrite("Response Body:" & @CRLF)
ConsoleWrite($oSbResponseBody.GetAsString() & @CRLF)
Exit
EndIf
$oJResp = ObjCreate("Chilkat.JsonObject")
$oJResp.LoadSb($oSbResponseBody)
$oJResp.EmitCompact = False
ConsoleWrite($oJResp.Emit() & @CRLF)
; 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
Local $iAgeRangeHigh
Local $iAgeRangeLow
Local $sBeardConfidence
Local $bBeardValue
Local $sBoundingBoxHeight
Local $sBoundingBoxLeft
Local $sBoundingBoxTop
Local $sBoundingBoxWidth
Local $sConfidence
Local $sEyeglassesConfidence
Local $bEyeglassesValue
Local $sEyesOpenConfidence
Local $bEyesOpenValue
Local $sGenderConfidence
Local $sGenderValue
Local $sMouthOpenConfidence
Local $bMouthOpenValue
Local $sMustacheConfidence
Local $bMustacheValue
Local $sPosePitch
Local $sPoseRoll
Local $sPoseYaw
Local $sQualityBrightness
Local $sQualitySharpness
Local $sSmileConfidence
Local $bSmileValue
Local $sSunglassesConfidence
Local $bSunglassesValue
Local $iJ
Local $iCount_j
Local $sV_Type
Local $sX
Local $sY
Local $i = 0
Local $iCount_i = $oJResp.SizeOfArray("FaceDetails")
While $i < $iCount_i
$oJResp.I = $i
$iAgeRangeHigh = $oJResp.IntOf("FaceDetails[i].AgeRange.High")
$iAgeRangeLow = $oJResp.IntOf("FaceDetails[i].AgeRange.Low")
$sBeardConfidence = $oJResp.StringOf("FaceDetails[i].Beard.Confidence")
$bBeardValue = $oJResp.BoolOf("FaceDetails[i].Beard.Value")
$sBoundingBoxHeight = $oJResp.StringOf("FaceDetails[i].BoundingBox.Height")
$sBoundingBoxLeft = $oJResp.StringOf("FaceDetails[i].BoundingBox.Left")
$sBoundingBoxTop = $oJResp.StringOf("FaceDetails[i].BoundingBox.Top")
$sBoundingBoxWidth = $oJResp.StringOf("FaceDetails[i].BoundingBox.Width")
$sConfidence = $oJResp.StringOf("FaceDetails[i].Confidence")
$sEyeglassesConfidence = $oJResp.StringOf("FaceDetails[i].Eyeglasses.Confidence")
$bEyeglassesValue = $oJResp.BoolOf("FaceDetails[i].Eyeglasses.Value")
$sEyesOpenConfidence = $oJResp.StringOf("FaceDetails[i].EyesOpen.Confidence")
$bEyesOpenValue = $oJResp.BoolOf("FaceDetails[i].EyesOpen.Value")
$sGenderConfidence = $oJResp.StringOf("FaceDetails[i].Gender.Confidence")
$sGenderValue = $oJResp.StringOf("FaceDetails[i].Gender.Value")
$sMouthOpenConfidence = $oJResp.StringOf("FaceDetails[i].MouthOpen.Confidence")
$bMouthOpenValue = $oJResp.BoolOf("FaceDetails[i].MouthOpen.Value")
$sMustacheConfidence = $oJResp.StringOf("FaceDetails[i].Mustache.Confidence")
$bMustacheValue = $oJResp.BoolOf("FaceDetails[i].Mustache.Value")
$sPosePitch = $oJResp.StringOf("FaceDetails[i].Pose.Pitch")
$sPoseRoll = $oJResp.StringOf("FaceDetails[i].Pose.Roll")
$sPoseYaw = $oJResp.StringOf("FaceDetails[i].Pose.Yaw")
$sQualityBrightness = $oJResp.StringOf("FaceDetails[i].Quality.Brightness")
$sQualitySharpness = $oJResp.StringOf("FaceDetails[i].Quality.Sharpness")
$sSmileConfidence = $oJResp.StringOf("FaceDetails[i].Smile.Confidence")
$bSmileValue = $oJResp.BoolOf("FaceDetails[i].Smile.Value")
$sSunglassesConfidence = $oJResp.StringOf("FaceDetails[i].Sunglasses.Confidence")
$bSunglassesValue = $oJResp.BoolOf("FaceDetails[i].Sunglasses.Value")
$iJ = 0
$iCount_j = $oJResp.SizeOfArray("FaceDetails[i].Emotions")
While $iJ < $iCount_j
$oJResp.J = $iJ
$sConfidence = $oJResp.StringOf("FaceDetails[i].Emotions[j].Confidence")
$sV_Type = $oJResp.StringOf("FaceDetails[i].Emotions[j].Type")
$iJ = $iJ + 1
Wend
$iJ = 0
$iCount_j = $oJResp.SizeOfArray("FaceDetails[i].Landmarks")
While $iJ < $iCount_j
$oJResp.J = $iJ
$sV_Type = $oJResp.StringOf("FaceDetails[i].Landmarks[j].Type")
$sX = $oJResp.StringOf("FaceDetails[i].Landmarks[j].X")
$sY = $oJResp.StringOf("FaceDetails[i].Landmarks[j].Y")
$iJ = $iJ + 1
Wend
$i = $i + 1
Wend