VB.NET
VB.NET
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 VB.NET Downloads
Dim success As Boolean = False
Dim rest As New Chilkat.Rest
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
rest.SetAuthAws(authAws)
' URL: https://rekognition.us-west-2.amazonaws.com/
Dim bTls As Boolean = True
Dim port As Integer = 443
Dim bAutoReconnect As Boolean = 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
Debug.WriteLine("ConnectFailReason: " & rest.ConnectFailReason)
Debug.WriteLine(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 Chilkat.BinData
success = bdJpg.LoadFile("qa_data/jpg/kid_blue_coat.jpg")
If (success <> True) Then
Debug.WriteLine("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:
' (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.
Dim sbJpg As New Chilkat.StringBuilder
bdJpg.GetEncodedSb("base64",sbJpg)
Dim json As 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")
Dim sbRequestBody As New Chilkat.StringBuilder
json.EmitSb(sbRequestBody)
Dim sbResponseBody As New Chilkat.StringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> True) Then
Debug.WriteLine(rest.LastErrorText)
Exit Sub
End If
Dim respStatusCode As Integer = rest.ResponseStatusCode
Debug.WriteLine("response status code = " & respStatusCode)
If (respStatusCode >= 400) Then
Debug.WriteLine("Response Status Code = " & respStatusCode)
Debug.WriteLine("Response Header:")
Debug.WriteLine(rest.ResponseHeader)
Debug.WriteLine("Response Body:")
Debug.WriteLine(sbResponseBody.GetAsString())
Exit Sub
End If
Dim jResp As 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
Dim AgeRangeHigh As Integer
Dim AgeRangeLow As Integer
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 Integer
Dim count_j As Integer
Dim v_Type As String
Dim X As String
Dim Y As String
Dim i As Integer = 0
Dim count_i As Integer = 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
End While
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
End While
i = i + 1
End While