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(Visual Basic 6.0) 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 ChilkatRest
Dim success As Long
Dim authAws As New ChilkatAuthAws
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 Long
bTls = 1
Dim port As Long
port = 443
Dim bAutoReconnect As Long
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
Debug.Print "ConnectFailReason: " & rest.ConnectFailReason
Debug.Print rest.LastErrorText
Exit Sub
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 ChilkatBinData
success = bdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
If (success <> 1) Then
Debug.Print "Failed to load the input JPG file."
Exit Sub
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 ChilkatStringBuilder
success = bdJpg.GetEncodedSb("base64",sbJpg)
Dim json As New ChilkatJsonObject
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 ChilkatStringBuilder
success = json.EmitSb(sbRequestBody)
Dim sbResponseBody As New ChilkatStringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
Debug.Print rest.LastErrorText
Exit Sub
End If
Dim respStatusCode As Long
respStatusCode = rest.ResponseStatusCode
Debug.Print "response status code = " & respStatusCode
If (respStatusCode >= 400) Then
Debug.Print "Response Status Code = " & respStatusCode
Debug.Print "Response Header:"
Debug.Print rest.ResponseHeader
Debug.Print "Response Body:"
Debug.Print sbResponseBody.GetAsString()
Exit Sub
End If
Dim jResp As New ChilkatJsonObject
success = jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = 0
Debug.Print 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 Long
Dim AgeRangeLow As Long
Dim BeardConfidence As String
Dim BeardValue As Long
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 Long
Dim EyesOpenConfidence As String
Dim EyesOpenValue As Long
Dim GenderConfidence As String
Dim GenderValue As String
Dim MouthOpenConfidence As String
Dim MouthOpenValue As Long
Dim MustacheConfidence As String
Dim MustacheValue As Long
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 Long
Dim SunglassesConfidence As String
Dim SunglassesValue As Long
Dim j As Long
Dim count_j As Long
Dim v_Type As String
Dim X As String
Dim Y As String
Dim i As Long
i = 0
Dim count_i As Long
count_i = jResp.SizeOfArray("FaceDetails")
Do 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")
Do 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
Loop
j = 0
count_j = jResp.SizeOfArray("FaceDetails[i].Landmarks")
Do 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
Loop
i = i + 1
Loop
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