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(Xojo Plugin) Amazon Rekognition - Detect Faces in an Image
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
Dim rest As New Chilkat.Rest
Dim success As Boolean
Dim authAws As 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
success = rest.SetAuthAws(authAws)
// URL: https://rekognition.us-west-2.amazonaws.com/
Dim bTls As Boolean
bTls = True
Dim port As Int32
port = 443
Dim bAutoReconnect As Boolean
bAutoReconnect = True
// 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 <> True) Then
System.DebugLog("ConnectFailReason: " + Str(rest.ConnectFailReason))
System.DebugLog(rest.LastErrorText)
Return
End If
// 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.
Dim bdJpg As New Chilkat.BinData
success = bdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
If (success <> True) Then
System.DebugLog("Failed to load the input JPG file.")
Return
End If
// 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.
Dim sbJpg As New Chilkat.StringBuilder
success = bdJpg.GetEncodedSb("base64",sbJpg)
Dim json As New Chilkat.JsonObject
success = json.UpdateSb("Image.Bytes",sbJpg)
success = json.UpdateString("Attributes[0]","ALL")
success = rest.AddHeader("Content-Type","application/x-amz-json-1.1")
success = rest.AddHeader("X-Amz-Target","RekognitionService.DetectFaces")
Dim sbRequestBody As New Chilkat.StringBuilder
success = json.EmitSb(sbRequestBody)
Dim sbResponseBody As New Chilkat.StringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> True) Then
System.DebugLog(rest.LastErrorText)
Return
End If
Dim respStatusCode As Int32
respStatusCode = rest.ResponseStatusCode
System.DebugLog("response status code = " + Str(respStatusCode))
If (respStatusCode >= 400) Then
System.DebugLog("Response Status Code = " + Str(respStatusCode))
System.DebugLog("Response Header:")
System.DebugLog(rest.ResponseHeader)
System.DebugLog("Response Body:")
System.DebugLog(sbResponseBody.GetAsString())
Return
End If
Dim jResp As New Chilkat.JsonObject
success = jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = False
System.DebugLog(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
Dim AgeRangeHigh As Int32
Dim AgeRangeLow As Int32
Dim BeardConfidence As String
Dim BeardValue As Boolean
Dim BoundingBoxHeight As String
Dim BoundingBoxLeft As String
Dim BoundingBoxTop As String
Dim BoundingBoxWidth As String
Dim Confidence As String
Dim EyeglassesConfidence As String
Dim EyeglassesValue As Boolean
Dim EyesOpenConfidence As String
Dim EyesOpenValue As Boolean
Dim GenderConfidence As String
Dim GenderValue As String
Dim MouthOpenConfidence As String
Dim MouthOpenValue As Boolean
Dim MustacheConfidence As String
Dim MustacheValue As Boolean
Dim PosePitch As String
Dim PoseRoll As String
Dim PoseYaw As String
Dim QualityBrightness As String
Dim QualitySharpness As String
Dim SmileConfidence As String
Dim SmileValue As Boolean
Dim SunglassesConfidence As String
Dim SunglassesValue As Boolean
Dim j As Int32
Dim count_j As Int32
Dim v_Type As String
Dim X As String
Dim Y As String
Dim i As Int32
i = 0
Dim count_i As Int32
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
Wend
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
Wend
i = i + 1
Wend
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